Synthesis of two novel α-diamine nickel catalysts, supported on carbon nanotubes, and their properties of alkene polymerization

Synthesis of two novel α-diamine nickel catalysts, supported on carbon nanotubes, and their properties of alkene polymerization | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Synthesis of two novel α-diamine nickel catalysts, supported on carbon nanotubes, and their properties of alkene polymerization Mingyu Zhang, Yutong Shan, Dong Yan, Yuqi Tang, Shuangping Xu, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8222005/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract Based on the conventional α-diamine framework, two novel nickel-based catalysts ( Ni1 and Ni2 ) were designed and synthesized by using acenaphthenequinone and Ni(DME)Cl 2 , with 2,6-R 2 -aniline [R = OMe ( 1 ) or Ph ( 2 )] as precursors. To evaluate the catalytic activity of Ni1 and Ni2 , three alkene monomers — styrene, 1,3-butadiene, and isoprene — were polymerized under varying reaction conditions. The results demonstrated that the maximum yields achieved with Ni1 were 93.72%, 81.71% and 93.15%, respectively, while Ni2 yielded 88.21%, 65.39%, and 95.60% for the same monomers. Subsequently, two supported catalysts ( Ni1@CNT and Ni2@CNT ) were synthesized by immobilizing Ni1 and Ni2 onto carbon nanotubes (CNTs). The reusability of these supported catalysts was investigated. Under the optimal conditions for Ni1 and Ni2 , it was observed that after five consecutive cycles, the catalytic activities of Ni1@CNT and Ni2@CNT remained nearly unchanged, maintaining performance levels comparable to the initial cycle. αdiamine nickel-based catalyst supported catalysts polymerization reuse Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 1. Introduction Polyolefins were one of the most important synthetic polymers in the world due to their excellent properties. [ 1 ] In order to improve the yield of polyolefins, the design and development of catalysts for olefin polymerization processed with high performance had become a hot topic. It was found that the non-polar backbone of polyolefin process would improve its compatibility with polar materials due to the introduction of polar functional groups, thereby expanding the further application of polyolefins. [ 2 – 6 ] Since the production of Ziegler-Natta catalyst in the 1950s of the 20th century, it had been found that post-transition metal catalysts had set off a wave of direct preparation of polar aggregates in catalytic olefins and polar monomer copolymerization because of their excellent resistance to polar functional groups and low oxygen philicity. [ 7 – 10 ] At present, the use of supported catalysts for catalysis in olefin polymerization had received extensive attention [ 11 – 15 ] . The original used of supported catalysts was to solve the problems that catalysts were not conducive to recovery and product separation in the polymerization process, but it had been found that supported catalysts could further improve the catalytic performance and increased the molecular weight of polymers. Most of the heterogeneous catalysts were selected using insoluble inorganic oxides and stable polymers as carriers. [ 16 – 20 ] Since the occurrence of the "nickel effect" event, nickel complexes had become an indispensable "poison" in the coordination-insertion polymerization process of olefins, [ 21 ] and many scientists had carried out research on the use of nickel-based catalysts for the polymerization of dilute monomers into high-molecular-weight polyolefin polymers, [ 22 – 26 ] such as pyridine-imide, [ 27 – 30 ] aniline-naphthoquinone, [ 31 ] α-iminoketone, [ 32 ] and α-diamine nickel-based catalysts. [ 33 – 39 ] In particular, the research on imine-based nickel-based catalysts was relatively mature and extensive, especially the α-diamine nickel catalyst, which had a unique chain structure, which made the polyethylene produced in the process of polymerization of ethylene monomer had a certain elasticity, [ 40 – 45 ] and the reported α-diamine catalyst had poor thermal stability, and its structure was easy to be destroyed at higher temperatures, so some applications were limited. Some researchers had found that the polymer produced by nickel-α-diamine in the process of polymerization of dilute monomers had a certain effect on the reaction, and thus found that nickel-α-diamine had some potential advantages: (1) The supported polymer chain could limit the rotation of the n-aryl group, improved the activity of the olefin polymerization process, and accelerated the reaction rate. (2) The performance of the catalyst could be adjusted to control the progress of the reaction by changing the structure and type of the support. (3) The addition of a single-point catalyst to the polymer may produce different catalytic selectivity. The purpose of this experiment was to design and prepare two new nickel-α-diamine catalysts based on the structure of α-diamine-based catalysts, catalyze a series of dilute monomers, explore their catalytic activities, used carbon nanotubes as carriers to explore the catalytic activity and reused effect after loading, to provide an idea for subsequent research 2. Experiment 2.1 Materials and equipment Acenaphthenequinone, 2,6-dimethoxyaniline, 2,6-diphenylaniline, and 2,2'-dimethylbenzidine were all purchased from Aladdin Reagent (Shanghai) Co, Ltd, and ethyl acetate, n-hexane, THF and N,N-dimethylformamide (DMF) were dried and purified according to standard methods.The molecular structures of the catalyst were determined by 1 H NMR, 13 C NMR (600 MHz, Bruker, Germany), and MS (Thermo, USA). The morphology characterization of the catalyst by SEM images was shown with the S-4300 (Hitachi, Tokyo, Japan) apparatus. The Thermal Gravimetric Analyzer (TG) (Diamiand, PE company,USA) characterized the thermal stability of the polymers. 2.2 Preparation of ligands and nickel complexes. Syntheses of anilines, ligands and nickel complexes were shown in Scheme 1 . 2.2.1. Synthesis-of a1 and a2 a1 : Acenaphthenequinone (601 mg, 3.3 mmol), 2,6-dimethoxyaniline (369 µL, 3 mmol), acetic acid (5 mL) were added into DMF (20 mL) at 110 o C for 12 h. The solvent was removed, under low pressure. Then the remainder was purified in the alumina gel column by ethyl acetate and n -hexane (v:v = 1:3). After dried, it was obtained as a light yellow powder (yield = 90.5%). 1 H NMR(600 MHz, CDCl 3 , ppm)(Fig. 1 ): δ 8.29 (dd, 2H), δ 8.12 (dd, 2H) and δ 7.88–7.85 (m, 2H) corresponds to the chemical shift of H on the naphthalene group in acetthoquinone. δ 6.76–6.73 (t, 1H) and δ 6.54 (d, 2H) corresponds to the chemical shift of H in the benzene ring in N-arylaniline. δ 3.86 (s, 6H) corresponds to the chemical shift of Ph-O-CH 3 in the methoxy group attached to the benzene ring in N-arylaniline. a2 : The reaction conditions were similar to those of a1 , except that the reaction monomer 2,6-dimethoxyaniline (369 µL, 3 mmol) was replaced by 2,6-diphenylaniline (751 mg, 3 mmol). After dried, it was obtained as a yellow-brown powder (yield = 85.64%). 1 H NMR(600 MHz, DMSO- d 6, ppm)(Fig. 2 ): δ 8.28 (d, 1H), δ 8.14 (d, 1H), δ 7.97 (d, 1H), δ 7.80 (t, 1H), and δ 7.62 (t, 1H) correspond to the chemical shift of H on naphthalene groups in acenaphthoquinone. δ 7.51 (s, 2H) and δ 6.88 (d, 1H) correspond to the chemical shift of H on the benzene ring in N-arylaniline. δ 7.28 (m, 4H) and δ 7.08 (m, 2H) correspond to the chemical shift of H on the attached benzene ring in N-aryl aniline. δ 7.17 (m, 5H) contains the chemical shift of H on the ortho-benzene ring of 4 N-aryl anilines and the chemical shift of 1 H on the naphthalene group in acetonone quinone. 2.2.2. Synthesis-of b1 and b2 b1 : The obtained products a1 (952.05 mg, 3 mmol) and 3,3'-dimethylbenzidine (658.13 mg, 3.1 mmol), acetic acid (5 mL) were added into DMF (20 mL) at 110 o C for 12 h. The solvent was removed, under low pressure. Then the remainder was purified in the alumina gel column by ethyl acetate and n -hexane (v:v = 1:3). After dried, it was obtained as a brown powder. 1 H NMR(600 MHz, CDCl 3 , ppm) (Fig. 3 ): δ 7.88 (dd, 2H), δ 7.54 (s, 1H), δ 7.50 (dd, 1H), δ 7.45 (s, 1H) and δ 7.42 (dd, 1H) correspond to the chemical shift of H on the naphthalene group in acenaphthoquinone. δ 7.38 (m, 2H), δ 7.22 (t, 2H), δ 7.18 (t, 1H), and δ 6.68 (d, 1H) correspond to the chemical shift of H on the benzene ring in o-toluidine. δ 7.04 (d, 1H), δ 6.97 (d, 1H) and δ 6.79 (d, 1H) correspond to the chemical shift of H in the benzene ring in N-arylaniline. δ 4.14–4.10 (m, 2H) corresponds to the chemical shift of H on the amino group in o-toluidine. δ 2.63–2.28 (m, 6H) correspond to the chemical shift of CH 3 in the ortho-methoxy group of N-arylaniline. δ 2.23 (d, 6H) correspond to the chemical shift of H in the methyl group in o-toluidine. The molecular weight of b1 was detected to prove the high purity as Mass spectrum (Fig. 4 ). b2 : The reaction conditions were similar to those of b1 , except that the reaction monomer a1 (952.05 mg, 3 mmol) was replaced by a2 (2796.51 mg, 3 mmol). After dried, it was obtained as a yellow powder. 1 H NMR(600 MHz, DMSO- d 6, ppm)(Fig. 5 ): δ 7.98 (dd, 2H) and δ 7.55 (m, 4H). Chemical shift of H on naphthalene group in acenaphthoquinone. δ 7.42 (d, 4H) and δ 7.22 (m, 4H) correspond to the chemical shift of H in the benzene ring to which the N-arylaniline is ortho-linked. δ 7.36 (m, 2H), δ 7.15 (t, 2H), δ 7.07 (dd, 1H) and δ 6.54 (t, 1H) correspond to the chemical shift of H on the benzene ring in o-toluidine. δ 6.88 (d, 1H) corresponds to the chemical shift of H in the benzene ring in N-arylaniline. δ 6.70 (m, 4H) corresponds to the chemical shift of H in the benzene ring in N-aryl aniline and the chemical shift of H in the benzene ring to which the N-aryl aniline ortho site is linked. δ 4.98 (s, 2H) corresponds to the chemical shift of H on the amino group in o-toluidine. The molecular weight of b2 was detected to prove the high purity as Mass spectrum (Fig. 6 ). 2.3. Synthesis-of Ni1 and Ni2 Novel ligands ( b1 , b2 ) and Ni(DME)Cl 2 were added into THF. Ultrasonic vibration the mixture for 30 min at room temperature. After dried, the product was obtained. 2.4. Synthesis-of Ni1@CNT and Ni2@CNT The new nickel catalysts with α-diamine structure of two different ligands ( Ni1 , Ni2) , CNT were added to DMF, stirred at room temperature for 24 h to remove the solvent to obtain solids. 2.5 Polymerization of styrene The styrene solution was injected into a mixed solution containing the prepared catalyst and toluene, methylaluminoxane was added as a co-catalyst, and the reaction was carried out under different conditions, and after the reaction, a large amount of methanol was used for reverse precipitation, centrifugal concentration, and drying in a vacuum drying oven. 3. Results and Discussion Based on the reaction of the novel ligand b1 , b2 and Ni(DME)Cl 2 synthesized in the literature, two different nickel catalysts with α-diamine structure ( Scheme 1 ) were prepared, and their structures were verified by xps analysis. In Figure 7 , it could be found that the N-Ni bond appears at potential 401 ev, which simply proves that Ni has been successfully grafted during the synthesis process. Figure 8 was SEM and EDS spectrum of the supported catalysts. CNT was used as carrier to support Ni1 and Ni2 catalysts, respectively, as could be seen from the SEM results of CNT had a porous network structure. It could provide a wide range of attachment sites to catalysts,Increased the amount of catalyst on the support. EDS diagram reflects the distribution of the main elements in Ni1@CNT and Ni2@CNT . That the distribution of N and Ni were clearly in the figure. It also further proved that Ni1@CNT and Ni2@CNT were successfully prepared. In order to explore the catalytic performance of Ni1 and Ni2 , three alkene monomers,(styrene, 1,3-butadiene and isoprene), were polymerized under different reaction conditions. The results were showed by Table 1-Table 3 . Table 1 showed the isoprene polymerization reaction catalyzed by Ni1 and Ni2 catalysts under different conditions. According to Table 1 , it could be found that [Ip]/[Ni]=6000, [Al]/[Ni]=600, when the reaction time of Ni1 catalyst at room temperature was 4 h, the reaction conversion rate reaches 93.15%. [Ip]/[Ni]=40000, [Al]/[Ni]=600, When the reaction time of Ni1 catalyst at room temperature was 4 h, the maximum Mw of isoprene polymerization into polyisoprene was 20.69×10 3 . For the Ni2 catalyst, when the reaction time of [Ip]/[Ni]=2000, [Al]/[Ni]=600, and the reaction time of Ni2 catalyst at room temperature was 4 h, the reaction conversion rate reached the best, and the conversion rate of isoprene reached 95.6%, which showed that the two new nickel catalysts with α-diamine structure had high catalytic performance for isoprene. Table 1. Isoprene polymerization under various conditions. Entrya Cat. [Ip]/[Ni] b [Al]/[Ni] c T ( o C) Time (h) Yield (%) Mw d (×10 3 ) PDI d 1 Ni1 2000 600 rt 4 54.11 1.54 1.45 2 6000 600 rt 4 93.15 2.03 2.29 3 10000 600 rt 4 81.30 6.24 3.99 4 20000 600 rt 4 85.05 18.65 7.83 5 40000 600 rt 4 73.59 20.69 9.18 6 20000 200 rt 4 76.36 11.56 6.73 7 20000 1000 rt 4 78.57 9.65 6.25 8 20000 600 0 4 84.24 13.56 7.51 9 20000 600 50 4 64.02 3.02 3.12 10 20000 600 rt 2 72.91 6.63 5.29 11 20000 600 rt 6 79.46 16.31 7.96 12 Ni2 2000 600 rt 4 95.6 2.13 3.17 13 6000 600 rt 4 92.3 3.18 3.24 14 10000 600 rt 4 82.55 5.14 4.24 15 20000 600 rt 4 80.48 11.54 7.12 16 40000 600 rt 4 67.58 8.67 6.95 17 20000 200 rt 4 63.24 7.06 5.13 18 20000 1000 rt 4 68.71 7.42 5.06 19 20000 600 0 4 83.42 16.41 8.99 20 20000 600 50 4 67.01 4.76 3.45 21 20000 600 rt 2 70.01 5.56 4.23 22 20000 600 rt 6 78.30 11.23 7.59 a Polymerization conditions: the catalyst was quantified using 0.5 mg, the reaction was performed using Toluene as the solvent, and the solution volume of the reaction system was adjusted to 5.0 mL. b The [Ip]/[Ni] ratio indicated the molar ratio of Isoprene monomer to catalyst. c EASC(0.4 M solution in Hexane) was used as a co-catalyst. The [Al]/[Ni] ratio represented the co-catalyst and the molar ratioof the catalyst. d The values of M w and PDI were determined using GPC with polystyrene standards in THF. Table 2 showed the polymerization of 1,3-butadiene catalyzed by Ni1 and Ni2 catalysts under different conditions. It could be found that [Ip]/[Ni]=6000, [Al]/[Ni]=600, the reaction conversion rate of Ni1 catalyst was optimal when the reaction time was 6 h at 0 o C, and the conversion rate of 1,3-butadiene reaches 93.72%. For the Ni2 catalyst, when [Ip]/[Ni]=6000, [Al]/[Ni]=600, and the reaction time of Ni2 catalyst at 0 o C was 6 h, the reaction conversion rate reached the best, and the conversion rate of isoprene reached 88.21%, which showed that the two new nickel catalysts with α-diamine structure also had high catalytic performance for 1,3-butadiene. Table 2. 1,3-Butadiene polymerization under various conditions. Entrya Cat [BD]/[Ni] b [Al]/[Ni] c T ( o C) Time (h) Yield (%) Mwd (×10 4 ) PDId 1 Ni1 2000 600 rt 4 30.12 0.42 1.5 2 4000 600 rt 4 53.39 1.01 2.21 3 6000 600 rt 4 55.14 1.43 2.17 4 8000 600 rt 4 43.8 1.71 2.24 5 10000 600 rt 4 26.31 1.99 2.09 6 6000 200 rt 4 - - - 7 6000 1000 rt 4 65.42 0.85 1.61 8 6000 600 0 4 93.52 4.85 3.97 9 6000 600 50 4 49.87 0.68 1.98 10 6000 600 0 2 48.72 3.14 2.63 11 6000 600 0 6 93.72 4.69 4.12 12 Ni2 2000 600 rt 4 40.68 1.19 1.96 13 4000 600 rt 4 58.32 1.54 2.28 14 6000 600 rt 4 52.69 1.72 2.41 15 8000 600 rt 4 45.63 1.92 2.64 16 10000 600 rt 4 28.85 2.14 2.18 17 6000 200 rt 4 5.67 0.93 1.27 18 6000 1000 rt 4 70.34 0.49 1.24 19 6000 600 0 4 85.63 4.38 4.73 20 6000 600 50 4 42.59 0.37 1.06 21 6000 600 0 2 69.94 3.11 2.78 22 6000 600 0 6 88.21 4.47 4.89 a Polymerization conditions: the catalyst was quantified using 0.5 mg, the reaction was performed using Toluene as the solvent, and the solution volume of the reaction system was adjusted to 5.0 mL. b The [Ip]/[Ni] ratio indicated the molar ratio of Isoprene monomer to catalyst. c EASC(0.4 M solution in Hexane) was used as a co-catalyst. The [Al]/[Ni] ratio represented the co-catalyst and the molar ratioof the catalyst. d The values of M w and PDI were determined using GPC with polystyrene standards in THF. Table 3 showed that Ni1 and Ni2 catalysts catalyze styrene polymerization under different conditions, according to Table 3 , it could be seen that [Ip]/[Ni]=4000, [Al]/[Ni]=1200, Ni1 catalyst at 25 o Cwhen the reaction time was 2 h, the reaction conversion rate was optimal, and the conversion rate of styrene to polystyrene was 81.71%, and the Mw=1.99×10 4 The reaction conditions for the Ni2 catalyst to catalyze styrene to achieve the best effect were [Ip]/ [Ni]=4000, [Al]/[Ni]=1200, the reaction time was 2 h at 25 o C, and the conversion rate of styrene polymerization to polystyrene was 65.39%, Mw=2.41×10 4 . . For the two new nickel catalysts with α-diamine structure Ni1 and Ni2 prepared by used, they had good catalytic performance for the three rare monomers, but after the reaction of the homogeneous catalyst, the catalyst was easy to mix with the later catalytic products, which was not conducive to the recovery and reuse of the catalyst, therefore, we prepared two new nickel catalysts with α-diamine structure on Ni1@CNT and Ni2@CNT . The catalytic properties of these three rare monomers and the reuse rate of the catalyst after loading were investigated. Table 3. Styrene polymerization under various conditions. a Polymerization conditions: the catalyst was quantified using 0.5 mg, the reaction was performed using Toluene as the solvent, and the solution volume of the reaction system was adjusted to 5.0 mL. b The [Ip]/[Ni] ratio indicated the molar ratio of Isoprene monomer to catalyst. c EASC(0.4 M solution in Hexane) was used as a co-catalyst. The [Al]/[Ni] ratio represented the co-catalyst and the molar ratioof the catalyst. d The values of M w and PDI were determined using GPC with polystyrene standards in THF Table 4 showed the results of the reuse of the catalytic performance of heterogeneous catalysts Ni1@CNT and Ni2@CNT for isoprene, 1,3-butadiene and styrene, and the experimental results in the above results were used to achieve the best experimental conditions for up to 5 times of reuse, according to the experimental results data, it could be found that for the polymerization catalytic reaction of the three rare monomers, the two supported catalysts of Ni1@CNT and Ni2@CNT were reused for 5 times. Its catalytic performance was kept at the same level, which reflected the stability of its catalyst. There was a partial improvement in the performance of the catalyst after loading and before loading. Table 4 . Catalytic reuse of Ni1@CNT and Ni2@CNT . Entry Cat Poly Reuses Yield(%) Mw(×10 4 ) PDI 1 Ni1@CNT PPI 1 89.21 1.36 11.39 2 89.07 1.36 11.86 3 89.16 1.38 11.25 4 89.04 1.32 11.63 5 89.01 1.37 11.47 2 Ni2@CNT 1 92.35 1.43 9.21 2 92.63 1.44 9.36 3 92.15 1.50 9.58 4 92.18 1.48 9.68 5 92.26 1.45 9.71 3 Ni1@CNT PBD 1 95.92 4.77 4.36 2 95.68 4.89 4.39 3 95.75 4.85 4.41 4 95.48 4.82 4.42 5 95.81 4.81 4.38 4 Ni2@CNT 1 93.16 4.21 4.77 2 93.35 4.26 4.78 3 93.18 4.30 4.82 4 93.22 4.28 4.83 5 93.42 4.24 4.85 5 Ni1@CNT PSt 1 92.64 1.52 1.27 2 92.84 1.57 1.30 3 92.56 1.54 1.27 4 92.62 1.53 1.26 5 92.70 1.49 1.24 6 Ni2@CNT 1 65.96 1.59 1.36 2 65.75 1.60 1.37 3 65.81 1.54 1.31 4 65.79 1.57 1.35 5 65.82 1.59 1.37 By further analyzing the electrostatic potential maps of Ni1 and Ni2 in Figures 9 (a-b), it is evident that the negatively charged region surrounding the Ni atom at the molecular center becomes increasingly restricted. This narrowing indicates an enhanced steric hindrance effect, which hinders monomers from approaching the Ni atom's vicinity, resulting in a reduction in yield. However, in Ni2 , the phenyl ring in the R group exhibits a negative charge, which facilitates the adsorption of alkyl ligands. Consequently, this feature enhances the polymerization of isoprene, making Ni2 more effective than Ni1 in this reaction, as evidenced by its higher yield. As shown in Figure S1 , we find no significant differences in the electrostatic potential distribution on the molecules; however, there are some variations in the range of -15 to -5 kcal/mol, whic increase from Ni1 to Ni2 . These differences arise from the increasing electrostatic potential distribution associated with the added alkyl groups from Ni1 to Ni2 . 4. Conclusions The two new nickel catalysts with α-diamine structure had good and stable catalytic performance for isoprene, 1,3-butadiene and styrene, among which Ni1 could convert isoprene to 93.15%, 1,3-butadiene to 93.72%, and styrene to polystyrene to 81.71%. Ni2 could achieve a maximum conversion of 95.6% for isoprene, 88.21% for 1,3-butadiene, and 65.39% for styrene to polystyrene. When the two catalysts were loaded onto the CNT, the two supported catalysts of Ni1@CNT and Ni2@CNT were prepared, and the catalytic performance remained stable after 5 repeated experiments, which proved that the new nickel catalyst with α-diamine structure had good stability, and the catalytic performance of some of them was improved after loading, which may be that there were more reaction sites on the CNT, and the reaction contact area of Ni1@CNT and Ni2@CNT and dilute monomers was improved when they were in contact with the reaction.In this experiment, two new nickel catalysts with α-diamine structure were designed and supported, which provided ideas for subsequent workers to prepare more stable and highly catalytically active α-diamine catalysts. Declarations Author contributions Mingyu Zhang: Conceptualization, Visualization, Investigation, Writing—Original Draft. Yutong Shan.: Formal analysis, Investigation. Dong Yan: Investigation, Methodology. Yuqi Tang: Formal analysis, Resources. Shuangping Xu Formal analysis, Resources: Conceptualization. Yanqing Qu: Resources, Supervising. Hongge Jia: Funding acquisition. Bo Wang: Conceptualization, Resources, Supervising. Funding information This work was supported by National Natural Science Foundation of China (52203093), Scientific research project of provincial university, Education Department of Heilongjiang Province, China (CLKFKT2021B12) & (135309350). Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. References R. Geyer, J.R. Jambeck, K.L. Law. Production, use, and fate of all plastics ever made. Sci. Adv. 3(2017)e1700782. J. Chen, Y. Gao, T.J. Marks. Early transition metal catalysis for olefin-polar monomer copolymerization. Angew. Chem. Int. Ed. 59(2020)14726–14735. Y. Gao, J. Chen, Y. Wang, D.B. Pickens, A. Motta, J. Wang, Y.W. Chung, T.L. Lohr, T.J. Marks. Highly branched polyethylene oligomers via group IV-catalysed polymerization in very nonpolar media. Nat. Catal . 2(2019)236–242. J.M. Eagan, J. Xu, R.D. Girolamo, C.M. Thurber, C.W. Macosko, A.M. LaPointe, F.S.Bates, G.W. Coates. Combining polyethylene and polypropylene: enhanced performance with PE/iPP multiblock polymers. Science 355(2017)814–816. C. Chen. Designing catalysts for olefin polymerization and copolymerization:beyond electronic and steric tuning. Nat. Rev . Chem . 2(2018)6–14. M. Stürzel, S. Mihan, R. Mülhaupt. From multisite polymerization catalysis tosustainable materials and all-polyolefin composites. Chem. Rev . 116(2016)1398–1433. A. Nakamura, T.M.J. Anselment, J. Claverie, B. Goodall, R.F. Jordan, S. Mecking,B. Rieger, A. Sen, P.W.N.M. van Leeuwen, K. Nozaki. Ortho-phosphinobenzenesulfonate: A superb ligand for palladium-catalyzed coordination-insertion copolymerization of polar vinyl monomers. Acc.Chem. Res . 46(2013)1438–1449. D. J. Walsh, M.G. Hyatt, S.A. Miller, D. Guironnet. Recent trends in catalytic polymerizations. ACS Catal . 9(2019)11153–11188. C. Tan, C. Chen. Emerging palladium and nickel catalysts for copolymerization of olefins with polar monomers. Angew. Chem. Int. Ed. 58(2019)7192–7200. C. Zou, C. Chen. Polar-functionalized, crosslinkable, self-healing, and photoresponsive polyolefins, Angew . Chem. Int. Ed . 59(2020)395–402. H. Tafazolian, D.B. Culver, M.P. Conley. A well-defined Ni(II) a-diimine catalyst supported on sulfated zirconia for polymerization catalysis. Organometallics. 36(2017)2385–2388. H. Zhang, C. Zou, H. Zhao, Z. Cai, C. Chen. Hydrogen-bonding-induced heterogenization of nickel and palladium catalysts for copolymerization of ethylene with polar monomers. Angew. Chem. Int. Ed . 60(2021)17446–17451. C. Tan, C. Zou, C. Chen. An ionic cluster strategy for performance improvements and product morphology control in metal-catalyzed olefin-polar monomer copolymerization. J. Am. Chem. Soc. 144(2022)2245–2254. C. Zou, G. Si, C. Chen. A general strategy for heterogenizing olefin polymerization catalysts and the ynthesis of polyolefins and composites. Nat. Commun . 13(2022)1954. J. Gao, R.W. Dorn, G.P. Laurent, F.A. Perras, A.J. Rossini, M.P. Conley. A heterogeneous palladium catalyst for the polymerization of olefins prepared by halide abstraction using surface R 3 Si + Species. Angew. Chem. Int. Ed. 61(2022)e202117279. D. E. Bergbreiter, J. Tian, C. Hongfa. Using soluble polymer supports to facilitate homogeneous catalysis. Chem. Rev. 109(2009)530–582. D. E. Bergbreiter. Soluble polymers as tools in catalysis. ACS Macro Lett .3(2014)260–265. M. R. Buchmeiser. Polymer-supported well-defined metathesis catalysts. Chem. Rev . 109(2009)303–321. H. Cao, Y. Qin, C. Zhuo, X. Wang, F. Wang. Homogeneous metallic oligomer catalyst with multisite intramolecular cooperativity for the synthesis of CO 2 -based polymers. ACS Catal . 9(2019)8669–8676. R. Zhang, Q. Kuang, H. Cao, S. Liu, X. Chen, X. Wang, F. Wang. Unity makes strength: constructing polymeric catalyst for selective synthesis of CO 2 /epoxide copolymer. CCS Chem . (2022). G. Wilke. Fifty years of ziegler catalysts: consequences and development of an invention, Angew. Chem. Int. Ed . 42(2003)5000–5008. H. Mu, G. Zhou, X. Hu, Z. Jian. Recent advances in nickel mediated copolymerization of olefin with polar monomers. Coord. Chem. Rev. 435(2021)213802. C. Tan, C. Chen. Nickel catalysts for the synthesis of ultra-high molecular weight polyethylene. Sci. Bull . 65(2020)1137–1138. C. Tan, C. Chen. Emerging palladium and nickel catalysts for copolymerization of olefins with polar monomers. Angew. Chem. Int. Ed . 58(2019)7192–7200. C. Zou, G. Si, C. Chen. A general strategy for heterogenizing olefin polymerization catalysts and the synthesis of polyolefins and composites. Nat. Commun . 13(2022)1–12. A. Chen, D. Liao, C. Chen. Promoting ethylene (co)polymerization in aliphatic hydrocarbon solvents using tert-butyl substituted nickel catalysts. Chin. J. Chem . 40(2022)215–222. S. Dai, X. Sui, C. Chen. Synthesis of high molecular weight polyethylene using iminopyridyl nickel catalysts. Chem. Commun . 52(2016)9113–9116. T. V. Laine, K. Lappalainen, J. Liimatta, E. Aitola, B. L¨ofgren, M. Leskel¨a. Polymerization of ethylene with new diimine complexes of late transition metals. Macromol. Rapid Commun. 20(1999)487–491. W.H. Sun, S. Song, B. Li, C. Redshaw, X. Hao, Y.S. Li, F. Wang. Ethylene polymerization by 2-iminopyridylnickel halide complexes: synthesis, characterization and catalytic influence of the benzhydryl group. Dalton Trans . 41(2012)11999–12010. L. Zhang, X. Hao, W.H. Sun, C. Redshaw. Synthesis, characterization, and ethylene polymerization behavior of 8-(nitroarylamino)-5,6,7-trihydroquinolylnickel dichlorides: Influence of the nitro group and impurities on catalytic activity. ACS Catal . 1(2011)1213–1220. X. Fu, L. Zhang, R. Tanaka, T. Shiono, Z. Cai. Highly robust nickel catalysts containing anilinonaphthoquinone ligand for copolymerization of ethylene and polar monomers. Macromolecules. 50(2017)9216–9221. T. Liang, S.B. Goudari, C. Chen. A simple and versatile nickel platform for the generation of branched high molecular weight polyolefins. Nat. Commun. 11(2020)1–8. B. Xin, N. Sato, A. Tanna, Y. Oishi, Y. Konishi, F. Shimizu. Nickel catalyzed copolymerization of ethylene and alkyl acrylates. J. Am. Chem. Soc. 139(2017)3611–3614 J.L. Rhinehart, L.A. Brown, B.K. Long. A robust Ni(II) α-diimine catalyst for high temperature ethylene polymerization. J. Am. Chem. Soc. 135(2013)16316–16319. D. Zhang, E.T. Nadres, M. Brookhart, O. Daugulis. Synthesis of highly branched polyethylene using “sandwich” (8-p-tolylnaphthylα-diimine)nickel(II) catalysts. Organometallics. 32(2013)5136–5143. O. Padilla-V´elez, K.S. O’Connor, A.M. Lapointe, S.N. Macmillan, G.W. Coates. Switchable living nickel(ii) α-diimine catalyst for ethylene polymerisation. Chem. Commun. 55(2019)7607–7610. C. Tan, C. Zou, C. Chen. An ionic cluster strategy for performance improvements and product morphology control in metal-catalyzed olefin-polar monomer copolymerization. J. Am. Chem. Soc. 144(2022)2245–2254. D. Peng, C. Chen. Photoresponsive palladium and nickel catalysts for ethylene polymerization and copolymerization. Angew. Chem. Int. Ed. 60(2021)22195–22200. N. Zhu, T. Liang, Y. Huang, W. Pang, M. Chen, C. Tan. Influences of ligand backbone substituents on phosphinecarbonylpalladium and-nickel catalysts for ethylene polymerization and copolymerization with polar monomers. Inorg. Chem . 60(2021)13080–13090 M. Li, X. Wang, Y. Luo, C. Chen. A second-coordination-sphere strategy to modulate nickel- and palladium-catalyzed olefin poly-merization and copolymerization. Angew. Chem. Int. Ed. 56(2017)11604–11609. K. Lian, Y. Zhu, W. Li, S. Dai, C. Chen. Direct synthesis of thermo- plastic polyolefin elastomers from nickel catalyzed ethylene polymerization. Macromolecules. 50(2017)6074–6080. J. Fang, X.L. Sui, Y. Li, C. Chen. Synthesis of polyolefin elastomers from unsymmetrical α-diimine nickel catalyzed olefin polymerization. Polym. Chem. 9(2018)4143–4149. C. Tan, C. Zou, C. Chen. An ionic cluster strategy for performance improvements and product morphology control in metal-catalyzed olefin–polar monomer copolymerization. J. Am. Chem. Soc. 144(2022) 2245–2254. C. Tan, C. Zou, C. Chen. Material properties of functional polyethylenes from transition-etmal-catalyzed ethylene–polar monomer copolymerization. Macromolecules. 55(2022) 1910–1922. M. Xu, Y. Liu, W. Pang, Y. Pan, M. Chen, C. Zhou, C. Tan. Cocatalyst effects in α-diimine nickel catalyzed ethylene polymerization. Poly-mer. 255(2022)125116. Supplementary Files Supportinginformation.docx Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 06 Dec, 2025 Reviewers invited by journal 02 Dec, 2025 Editor invited by journal 30 Nov, 2025 Editor assigned by journal 27 Nov, 2025 First submitted to journal 27 Nov, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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1","display":"","copyAsset":false,"role":"figure","size":87679,"visible":true,"origin":"","legend":"\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eH NMR spectrum of \u003cstrong\u003ea1 \u003c/strong\u003ein CDCl\u003csub\u003e3\u003c/sub\u003e.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/597b824c8352117886e4c1ce.png"},{"id":97539754,"identity":"bdfcf841-2d70-4b1d-8a93-2acc74cd6786","added_by":"auto","created_at":"2025-12-05 15:03:59","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":123028,"visible":true,"origin":"","legend":"\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eH NMR spectrum of \u003cstrong\u003ea2 \u003c/strong\u003ein DMSO-\u003cem\u003ed6\u003c/em\u003e.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/5ce85111736c2339687d44b6.png"},{"id":97539756,"identity":"93434ef2-d281-4b2e-839c-9652ca77fd9a","added_by":"auto","created_at":"2025-12-05 15:03:59","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":167364,"visible":true,"origin":"","legend":"\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eH NMR spectrum of \u003cstrong\u003eb1 \u003c/strong\u003ein CDCl\u003csub\u003e3\u003c/sub\u003e.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/306966776df5f57ab4358f82.png"},{"id":97539755,"identity":"c229e255-294a-4b1e-84f4-f067bce218d6","added_by":"auto","created_at":"2025-12-05 15:03:59","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":56012,"visible":true,"origin":"","legend":"\u003cp\u003eMass spectrum of \u003cstrong\u003eb1\u003c/strong\u003e.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/246d610c5d9797593bc91a98.png"},{"id":97671897,"identity":"8a6d372e-052f-40fa-ba6f-4af39db85215","added_by":"auto","created_at":"2025-12-08 09:33:19","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":133695,"visible":true,"origin":"","legend":"\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eH NMR spectrum of \u003cstrong\u003eb2 \u003c/strong\u003ein DMSO-\u003cem\u003ed6\u003c/em\u003e.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/a6daaa1edf5d4c7c5f78bedd.png"},{"id":97539759,"identity":"7a669cac-0cd0-41ea-bbab-7928d42c0aaa","added_by":"auto","created_at":"2025-12-05 15:03:59","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":57801,"visible":true,"origin":"","legend":"\u003cp\u003eMass spectrum of \u003cstrong\u003eb2\u003c/strong\u003e.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/7b6d929ccd2f9ca8035ed81d.png"},{"id":97539763,"identity":"1148f8c8-07eb-4f65-8902-a662b003bafc","added_by":"auto","created_at":"2025-12-05 15:03:59","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":66760,"visible":true,"origin":"","legend":"\u003cp\u003eXPS spectra of \u003cstrong\u003eNi1 \u003c/strong\u003eand \u003cstrong\u003eNi2\u003c/strong\u003e.\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/012cde8639da6c8b00665f78.png"},{"id":97539774,"identity":"4ee0e162-a76c-41e7-9760-fbbcfa3a931a","added_by":"auto","created_at":"2025-12-05 15:03:59","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":607224,"visible":true,"origin":"","legend":"\u003cp\u003eSEM and EDS spectra of the supported catalysts: a(Ni1@CNT); b(Ni2@CNT).\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/045a8a818b16afbcf0489e53.png"},{"id":97671740,"identity":"bb783c35-2b75-489f-99d5-39327c878306","added_by":"auto","created_at":"2025-12-08 09:33:02","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":269888,"visible":true,"origin":"","legend":"\u003cp\u003eSurface electrostatic potential of (a) \u003cstrong\u003eNi1\u003c/strong\u003e, (b) \u003cstrong\u003eNi2.\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"9.png","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/c3770fd8085c38164261225f.png"},{"id":97892955,"identity":"69d371a5-e0fe-477a-bda7-c8753f34f527","added_by":"auto","created_at":"2025-12-10 15:24:42","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2659379,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/f474b708-1eb5-4026-b412-e785c438525e.pdf"},{"id":97672523,"identity":"c0b87071-13b7-46ae-83c2-9d8876850367","added_by":"auto","created_at":"2025-12-08 09:38:12","extension":"docx","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":54174,"visible":true,"origin":"","legend":"","description":"","filename":"Supportinginformation.docx","url":"https://assets-eu.researchsquare.com/files/rs-8222005/v1/90dcf8fa0454cadfad6e15cf.docx"}],"financialInterests":"","formattedTitle":"Synthesis of two novel α-diamine nickel catalysts, supported on carbon nanotubes, and their properties of alkene polymerization","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003ePolyolefins were one of the most important synthetic polymers in the world due to their excellent properties.\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]\u003c/sup\u003e In order to improve the yield of polyolefins, the design and development of catalysts for olefin polymerization processed with high performance had become a hot topic. It was found that the non-polar backbone of polyolefin process would improve its compatibility with polar materials due to the introduction of polar functional groups, thereby expanding the further application of polyolefins.\u003csup\u003e[\u003cspan additionalcitationids=\"CR3 CR4 CR5\" citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]\u003c/sup\u003e Since the production of Ziegler-Natta catalyst in the 1950s of the 20th century, it had been found that post-transition metal catalysts had set off a wave of direct preparation of polar aggregates in catalytic olefins and polar monomer copolymerization because of their excellent resistance to polar functional groups and low oxygen philicity.\u003csup\u003e[\u003cspan additionalcitationids=\"CR8 CR9\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/sup\u003e\u003c/p\u003e\u003cp\u003eAt present, the use of supported catalysts for catalysis in olefin polymerization had received extensive attention \u003csup\u003e[\u003cspan additionalcitationids=\"CR12 CR13 CR14\" citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e. The original used of supported catalysts was to solve the problems that catalysts were not conducive to recovery and product separation in the polymerization process, but it had been found that supported catalysts could further improve the catalytic performance and increased the molecular weight of polymers. Most of the heterogeneous catalysts were selected using insoluble inorganic oxides and stable polymers as carriers.\u003csup\u003e[\u003cspan additionalcitationids=\"CR17 CR18 CR19\" citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/sup\u003e\u003c/p\u003e\u003cp\u003eSince the occurrence of the \"nickel effect\" event, nickel complexes had become an indispensable \"poison\" in the coordination-insertion polymerization process of olefins,\u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]\u003c/sup\u003e and many scientists had carried out research on the use of nickel-based catalysts for the polymerization of dilute monomers into high-molecular-weight polyolefin polymers,\u003csup\u003e[\u003cspan additionalcitationids=\"CR23 CR24 CR25\" citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]\u003c/sup\u003e such as pyridine-imide,\u003csup\u003e[\u003cspan additionalcitationids=\"CR28 CR29\" citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]\u003c/sup\u003e aniline-naphthoquinone,\u003csup\u003e[\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]\u003c/sup\u003e α-iminoketone,\u003csup\u003e[\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]\u003c/sup\u003e and α-diamine nickel-based catalysts.\u003csup\u003e[\u003cspan additionalcitationids=\"CR34 CR35 CR36 CR37 CR38\" citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]\u003c/sup\u003e In particular, the research on imine-based nickel-based catalysts was relatively mature and extensive, especially the α-diamine nickel catalyst, which had a unique chain structure, which made the polyethylene produced in the process of polymerization of ethylene monomer had a certain elasticity,\u003csup\u003e[\u003cspan additionalcitationids=\"CR41 CR42 CR43 CR44\" citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]\u003c/sup\u003e and the reported α-diamine catalyst had poor thermal stability, and its structure was easy to be destroyed at higher temperatures, so some applications were limited. Some researchers had found that the polymer produced by nickel-α-diamine in the process of polymerization of dilute monomers had a certain effect on the reaction, and thus found that nickel-α-diamine had some potential advantages: (1) The supported polymer chain could limit the rotation of the n-aryl group, improved the activity of the olefin polymerization process, and accelerated the reaction rate. (2) The performance of the catalyst could be adjusted to control the progress of the reaction by changing the structure and type of the support. (3) The addition of a single-point catalyst to the polymer may produce different catalytic selectivity.\u003c/p\u003e\u003cp\u003eThe purpose of this experiment was to design and prepare two new nickel-α-diamine catalysts based on the structure of α-diamine-based catalysts, catalyze a series of dilute monomers, explore their catalytic activities, used carbon nanotubes as carriers to explore the catalytic activity and reused effect after loading, to provide an idea for subsequent research\u003c/p\u003e"},{"header":"2. Experiment","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Materials and equipment\u003c/h2\u003e\u003cp\u003eAcenaphthenequinone, 2,6-dimethoxyaniline, 2,6-diphenylaniline, and 2,2'-dimethylbenzidine were all purchased from Aladdin Reagent (Shanghai) Co, Ltd, and ethyl acetate, n-hexane, THF and N,N-dimethylformamide (DMF) were dried and purified according to standard methods.The molecular structures of the catalyst were determined by \u003csup\u003e1\u003c/sup\u003eH NMR, \u003csup\u003e13\u003c/sup\u003eC NMR (600 MHz, Bruker, Germany), and MS (Thermo, USA). The morphology characterization of the catalyst by SEM images was shown with the S-4300 (Hitachi, Tokyo, Japan) apparatus. The Thermal Gravimetric Analyzer (TG) (Diamiand, PE company,USA) characterized the thermal stability of the polymers.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 Preparation of ligands and nickel complexes.\u003c/h2\u003e\u003cp\u003eSyntheses of anilines, ligands and nickel complexes were shown in Scheme \u003cspan refid=\"Sch1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv id=\"Sec5\" class=\"Section3\"\u003e\u003ch2\u003e2.2.1. Synthesis-of \u003cb\u003ea1\u003c/b\u003e and \u003cb\u003ea2\u003c/b\u003e\u003c/h2\u003e\u003cp\u003e\u003cb\u003ea1\u003c/b\u003e: Acenaphthenequinone (601 mg, 3.3 mmol), 2,6-dimethoxyaniline (369 \u0026micro;L, 3 mmol), acetic acid (5 mL) were added into DMF (20 mL) at 110 \u003csup\u003eo\u003c/sup\u003eC for 12 h. The solvent was removed, under low pressure. Then the remainder was purified in the alumina gel column by ethyl acetate and \u003cem\u003en\u003c/em\u003e-hexane (v:v\u0026thinsp;=\u0026thinsp;1:3). After dried, it was obtained as a light yellow powder (yield\u0026thinsp;=\u0026thinsp;90.5%). \u003csup\u003e1\u003c/sup\u003eH NMR(600 MHz, CDCl\u003csub\u003e3\u003c/sub\u003e, ppm)(Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e): δ 8.29 (dd, 2H), δ 8.12 (dd, 2H) and δ 7.88\u0026ndash;7.85 (m, 2H) corresponds to the chemical shift of H on the naphthalene group in acetthoquinone. δ 6.76\u0026ndash;6.73 (t, 1H) and δ 6.54 (d, 2H) corresponds to the chemical shift of H in the benzene ring in N-arylaniline. δ 3.86 (s, 6H) corresponds to the chemical shift of Ph-O-CH\u003csub\u003e3\u003c/sub\u003e in the methoxy group attached to the benzene ring in N-arylaniline.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ea2\u003c/b\u003e: The reaction conditions were similar to those of \u003cb\u003ea1\u003c/b\u003e, except that the reaction monomer 2,6-dimethoxyaniline (369 \u0026micro;L, 3 mmol) was replaced by 2,6-diphenylaniline (751 mg, 3 mmol). After dried, it was obtained as a yellow-brown powder (yield\u0026thinsp;=\u0026thinsp;85.64%). \u003csup\u003e1\u003c/sup\u003eH NMR(600 MHz, DMSO-\u003cem\u003ed\u003c/em\u003e6, ppm)(Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e): δ 8.28 (d, 1H), δ 8.14 (d, 1H), δ 7.97 (d, 1H), δ 7.80 (t, 1H), and δ 7.62 (t, 1H) correspond to the chemical shift of H on naphthalene groups in acenaphthoquinone. δ 7.51 (s, 2H) and δ 6.88 (d, 1H) correspond to the chemical shift of H on the benzene ring in N-arylaniline. δ 7.28 (m, 4H) and δ 7.08 (m, 2H) correspond to the chemical shift of H on the attached benzene ring in N-aryl aniline. δ 7.17 (m, 5H) contains the chemical shift of H on the ortho-benzene ring of 4 N-aryl anilines and the chemical shift of 1 H on the naphthalene group in acetonone quinone.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section3\"\u003e\u003ch2\u003e2.2.2. Synthesis-of \u003cb\u003eb1\u003c/b\u003e and \u003cb\u003eb2\u003c/b\u003e\u003c/h2\u003e\u003cp\u003e\u003cb\u003eb1\u003c/b\u003e: The obtained products \u003cb\u003ea1\u003c/b\u003e (952.05 mg, 3 mmol) and 3,3'-dimethylbenzidine (658.13 mg, 3.1 mmol), acetic acid (5 mL) were added into DMF (20 mL) at 110 \u003csup\u003eo\u003c/sup\u003eC for 12 h. The solvent was removed, under low pressure. Then the remainder was purified in the alumina gel column by ethyl acetate and \u003cem\u003en\u003c/em\u003e-hexane (v:v\u0026thinsp;=\u0026thinsp;1:3). After dried, it was obtained as a brown powder. \u003csup\u003e1\u003c/sup\u003eH NMR(600 MHz, CDCl\u003csub\u003e3\u003c/sub\u003e, ppm) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e): δ 7.88 (dd, 2H), δ 7.54 (s, 1H), δ 7.50 (dd, 1H), δ 7.45 (s, 1H) and δ 7.42 (dd, 1H) correspond to the chemical shift of H on the naphthalene group in acenaphthoquinone. δ 7.38 (m, 2H), δ 7.22 (t, 2H), δ 7.18 (t, 1H), and δ 6.68 (d, 1H) correspond to the chemical shift of H on the benzene ring in o-toluidine. δ 7.04 (d, 1H), δ 6.97 (d, 1H) and δ 6.79 (d, 1H) correspond to the chemical shift of H in the benzene ring in N-arylaniline. δ 4.14\u0026ndash;4.10 (m, 2H) corresponds to the chemical shift of H on the amino group in o-toluidine. δ 2.63\u0026ndash;2.28 (m, 6H) correspond to the chemical shift of CH\u003csub\u003e3\u003c/sub\u003e in the ortho-methoxy group of N-arylaniline. δ 2.23 (d, 6H) correspond to the chemical shift of H in the methyl group in o-toluidine. The molecular weight of \u003cb\u003eb1\u003c/b\u003e was detected to prove the high purity as Mass spectrum (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eb2\u003c/b\u003e: The reaction conditions were similar to those of \u003cb\u003eb1\u003c/b\u003e, except that the reaction monomer \u003cb\u003ea1\u003c/b\u003e (952.05 mg, 3 mmol) was replaced by \u003cb\u003ea2\u003c/b\u003e (2796.51 mg, 3 mmol). After dried, it was obtained as a yellow powder. \u003csup\u003e1\u003c/sup\u003eH NMR(600 MHz, DMSO-\u003cem\u003ed\u003c/em\u003e6, ppm)(Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e): δ 7.98 (dd, 2H) and δ 7.55 (m, 4H). Chemical shift of H on naphthalene group in acenaphthoquinone. δ 7.42 (d, 4H) and δ 7.22 (m, 4H) correspond to the chemical shift of H in the benzene ring to which the N-arylaniline is ortho-linked. δ 7.36 (m, 2H), δ 7.15 (t, 2H), δ 7.07 (dd, 1H) and δ 6.54 (t, 1H) correspond to the chemical shift of H on the benzene ring in o-toluidine. δ 6.88 (d, 1H) corresponds to the chemical shift of H in the benzene ring in N-arylaniline. δ 6.70 (m, 4H) corresponds to the chemical shift of H in the benzene ring in N-aryl aniline and the chemical shift of H in the benzene ring to which the N-aryl aniline ortho site is linked. δ 4.98 (s, 2H) corresponds to the chemical shift of H on the amino group in o-toluidine. The molecular weight of \u003cb\u003eb2\u003c/b\u003e was detected to prove the high purity as Mass spectrum (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e2.3. Synthesis-of \u003cb\u003eNi1\u003c/b\u003e and \u003cb\u003eNi2\u003c/b\u003e\u003c/h2\u003e\u003cp\u003eNovel ligands (\u003cb\u003eb1\u003c/b\u003e,\u003cb\u003eb2\u003c/b\u003e) and Ni(DME)Cl\u003csub\u003e2\u003c/sub\u003e were added into THF. Ultrasonic vibration the mixture for 30 min at room temperature. After dried, the product was obtained.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e2.4. Synthesis-of \u003cb\u003eNi1@CNT\u003c/b\u003e and \u003cb\u003eNi2@CNT\u003c/b\u003e\u003c/h2\u003e\u003cp\u003eThe new nickel catalysts with α-diamine structure of two different ligands (\u003cb\u003eNi1\u003c/b\u003e, \u003cb\u003eNi2)\u003c/b\u003e, CNT were added to DMF, stirred at room temperature for 24 h to remove the solvent to obtain solids.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e2.5 Polymerization of styrene\u003c/h2\u003e\u003cp\u003eThe styrene solution was injected into a mixed solution containing the prepared catalyst and toluene, methylaluminoxane was added as a co-catalyst, and the reaction was carried out under different conditions, and after the reaction, a large amount of methanol was used for reverse precipitation, centrifugal concentration, and drying in a vacuum drying oven.\u003c/p\u003e\u003c/div\u003e"},{"header":"3. Results and Discussion","content":"\u003cp\u003eBased on the reaction of the novel ligand \u003cstrong\u003eb1\u003c/strong\u003e, \u003cstrong\u003eb2\u003c/strong\u003e and Ni(DME)Cl\u003csub\u003e2\u003c/sub\u003e synthesized in the literature, two different nickel catalysts with \u0026alpha;-diamine structure (\u003cstrong\u003eScheme 1\u003c/strong\u003e) were prepared, and their structures were verified by xps analysis.\u003c/p\u003e\n\u003cp\u003eIn \u003cstrong\u003eFigure 7\u003c/strong\u003e, it could be found that the N-Ni bond appears at potential 401 ev, which simply proves that Ni has been successfully grafted during the synthesis process.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 8\u003c/strong\u003e was SEM and EDS spectrum of the supported catalysts. CNT was used as carrier to support \u003cstrong\u003eNi1\u003c/strong\u003e and\u003cstrong\u003e\u0026nbsp;Ni2\u003c/strong\u003e catalysts, respectively, as could be seen from the SEM results of CNT had a porous network structure. It could provide a wide range of attachment sites to catalysts,Increased the amount of catalyst on the support. EDS diagram reflects the distribution of the main elements in \u003cstrong\u003eNi1@CNT\u003c/strong\u003e and \u003cstrong\u003eNi2@CNT\u003c/strong\u003e. That the distribution of N and Ni were clearly in the figure. It also further proved that \u003cstrong\u003eNi1@CNT\u003c/strong\u003e and \u003cstrong\u003eNi2@CNT\u003c/strong\u003e were successfully prepared.\u003c/p\u003e\n\u003cp\u003eIn order to explore the catalytic performance of \u003cstrong\u003eNi1\u003c/strong\u003e and \u003cstrong\u003eNi2\u003c/strong\u003e, three alkene monomers,(styrene, 1,3-butadiene and isoprene), were polymerized under different reaction conditions. The results were showed by \u003cstrong\u003eTable 1-Table 3\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u003c/strong\u003e showed the isoprene polymerization reaction catalyzed by \u003cstrong\u003eNi1\u003c/strong\u003e and \u003cstrong\u003eNi2\u0026nbsp;\u003c/strong\u003ecatalysts under different conditions. According to \u003cstrong\u003eTable 1\u003c/strong\u003e, it could be found that [Ip]/[Ni]=6000, [Al]/[Ni]=600, when the reaction time of \u003cstrong\u003eNi1\u003c/strong\u003e catalyst at room temperature was 4 h, the reaction conversion rate reaches 93.15%. [Ip]/[Ni]=40000, [Al]/[Ni]=600, When the reaction time of \u003cstrong\u003eNi1\u003c/strong\u003e catalyst at room temperature was 4 h, the maximum Mw of isoprene polymerization into polyisoprene was 20.69\u0026times;10\u003csup\u003e3\u003c/sup\u003e. For the \u003cstrong\u003eNi2\u0026nbsp;\u003c/strong\u003ecatalyst, when the reaction time of [Ip]/[Ni]=2000, [Al]/[Ni]=600, and the reaction time of \u003cstrong\u003eNi2\u003c/strong\u003e catalyst at room temperature was 4 h, the reaction conversion rate reached the best, and the conversion rate of isoprene reached 95.6%, which showed that the two new nickel catalysts with \u0026alpha;-diamine structure had high catalytic performance for isoprene.\u003c/p\u003e\n\u003cdiv align=\"Left\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\" valign=\"top\" style=\"width: 645px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1.\u0026nbsp;\u003c/strong\u003eIsoprene polymerization under various conditions.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eEntrya\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 48px;\"\u003e\n \u003cp\u003eCat.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003e[Ip]/[Ni]\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 75px;\"\u003e\n \u003cp\u003e[Al]/[Ni]\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003eT (\u003csup\u003eo\u003c/sup\u003eC)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 69px;\"\u003e\n \u003cp\u003eTime (h)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003eYield (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eMw\u003csup\u003ed\u003c/sup\u003e(\u0026times;10\u003csup\u003e3\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003ePDI\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"11\" style=\"width: 48px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e54.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e1.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e93.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e2.29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e10000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e81.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e6.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e3.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e85.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e18.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e7.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e40000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e73.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e20.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e9.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e76.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e11.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e6.73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e78.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e9.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e6.25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e84.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e13.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e7.51\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e64.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e3.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e3.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e72.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e6.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e5.29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e79.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e16.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e7.96\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"11\" style=\"width: 48px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e95.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e2.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e3.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e92.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e3.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e3.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e10000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e82.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e5.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e4.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e80.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e11.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e7.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e40000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e67.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e8.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e6.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e63.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e7.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e5.13\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e68.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e7.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e5.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e83.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e16.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e8.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e67.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e4.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e3.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e70.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e5.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e4.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 70px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e20000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 75px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 63px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 69px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e78.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 102px;\"\u003e\n \u003cp\u003e11.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 60px;\"\u003e\n \u003cp\u003e7.59\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u0026nbsp;\u003csup\u003ea\u0026nbsp;\u003c/sup\u003ePolymerization conditions: the catalyst was quantified using 0.5 mg, the reaction was performed using Toluene as the solvent, and the solution volume of the reaction system was adjusted to 5.0 mL.\u003csup\u003eb\u003c/sup\u003e The [Ip]/[Ni] ratio indicated the molar ratio of Isoprene monomer to catalyst. \u003csup\u003ec\u003c/sup\u003e EASC(0.4 M solution in Hexane) was used as a co-catalyst. The [Al]/[Ni] ratio represented the co-catalyst and the molar ratioof the catalyst. \u003csup\u003ed\u003c/sup\u003e The values of \u003cem\u003eM\u003c/em\u003ew and PDI were determined using GPC with polystyrene standards in THF.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e showed the polymerization of 1,3-butadiene catalyzed by \u003cstrong\u003eNi1\u003c/strong\u003e and \u003cstrong\u003eNi2\u003c/strong\u003e catalysts under different conditions. It could be found that [Ip]/[Ni]=6000, [Al]/[Ni]=600, the reaction conversion rate of \u003cstrong\u003eNi1\u003c/strong\u003e catalyst was optimal when the reaction time was 6 h at 0 \u003csup\u003eo\u003c/sup\u003eC, and the conversion rate of 1,3-butadiene reaches 93.72%. For the\u003cstrong\u003e\u0026nbsp;Ni2\u003c/strong\u003e catalyst, when [Ip]/[Ni]=6000, [Al]/[Ni]=600, and the reaction time of \u003cstrong\u003eNi2\u003c/strong\u003e catalyst at 0 \u003csup\u003eo\u003c/sup\u003eC was 6 h, the reaction conversion rate reached the best, and the conversion rate of isoprene reached 88.21%, which showed that the two new nickel catalysts with \u0026alpha;-diamine structure also had high catalytic performance for 1,3-butadiene.\u003c/p\u003e\n\u003cdiv align=\"Left\"\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"590\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\" valign=\"top\" style=\"width: 590px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e2.\u0026nbsp;\u003c/strong\u003e1,3-Butadiene\u0026nbsp;polymerization under various conditions.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 57px;\"\u003e\n \u003cp\u003eEntrya\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 36px;\"\u003e\n \u003cp\u003eCat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e[BD]/[Ni]\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003e[Al]/[Ni]\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003eT (\u003csup\u003eo\u003c/sup\u003eC)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003eTime (h)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 76px;\"\u003e\n \u003cp\u003eYield (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003eMwd (\u0026times;10\u003csup\u003e4\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 46px;\"\u003e\n \u003cp\u003ePDId\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"11\" style=\"width: 36px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi1\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e30.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e4000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e53.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e55.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e8000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e43.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e10000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e26.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e65.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e0.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e93.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e4.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e3.97\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e49.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e48.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e3.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.63\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e93.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e4.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e4.12\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"11\" style=\"width: 36px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi2\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e2000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e40.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.96\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e4000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e58.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e52.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e8000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e45.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e1.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.64\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e10000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e28.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e2.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e200\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e5.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003ert\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e70.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e85.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e4.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e4.73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e42.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e69.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e3.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e2.78\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 57px;\"\u003e\n \u003cp\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e6000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 61px;\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 73px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e88.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 88px;\"\u003e\n \u003cp\u003e4.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\"\u003e\n \u003cp\u003e4.89\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003csup\u003ea\u003c/sup\u003ePolymerization conditions: the catalyst was quantified using 0.5 mg, the reaction was performed using Toluene as the solvent, and the solution volume of the reaction system was adjusted to 5.0 mL.\u003csup\u003eb\u003c/sup\u003e The [Ip]/[Ni] ratio indicated the molar ratio of Isoprene monomer to catalyst. \u003csup\u003ec\u003c/sup\u003eEASC(0.4 M solution in Hexane) was used as a co-catalyst. The [Al]/[Ni] ratio represented the co-catalyst and the molar ratioof the catalyst. \u003csup\u003ed\u003c/sup\u003eThe values of \u003cem\u003eM\u003c/em\u003ew and PDI were determined using GPC with polystyrene standards in THF.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e showed that \u003cstrong\u003eNi1\u003c/strong\u003e and \u003cstrong\u003eNi2\u0026nbsp;\u003c/strong\u003ecatalysts catalyze styrene polymerization under different conditions, according to \u003cstrong\u003eTable 3\u003c/strong\u003e, it could be seen that [Ip]/[Ni]=4000, [Al]/[Ni]=1200, \u003cstrong\u003eNi1\u0026nbsp;\u003c/strong\u003ecatalyst at 25\u0026nbsp;\u003csup\u003eo\u003c/sup\u003eCwhen the reaction time was 2 h, the reaction conversion rate was optimal, and the conversion rate of styrene to polystyrene was 81.71%, and the Mw=1.99\u0026times;10\u003csup\u003e4\u003c/sup\u003e The reaction conditions for the \u003cstrong\u003eNi2\u0026nbsp;\u003c/strong\u003ecatalyst to catalyze styrene to achieve the best effect were [Ip]/ [Ni]=4000, [Al]/[Ni]=1200, the reaction time was 2 h at 25\u0026nbsp;\u003csup\u003eo\u003c/sup\u003eC, and the conversion rate of styrene polymerization to polystyrene was 65.39%, Mw=2.41\u0026times;10\u003csup\u003e4\u003c/sup\u003e.\u003csup\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/sup\u003e\u003csub\u003e.\u003c/sub\u003e\u003c/p\u003e\n\u003cp\u003eFor the two new nickel catalysts with \u0026alpha;-diamine structure \u003cstrong\u003eNi1\u003c/strong\u003e and \u003cstrong\u003eNi2\u003c/strong\u003e prepared by used, they had good catalytic performance for the three rare monomers, but after the reaction of the homogeneous catalyst, the catalyst was easy to mix with the later catalytic products, which was not conducive to the recovery and reuse of the catalyst, therefore, we prepared two new nickel catalysts with \u0026alpha;-diamine structure on \u003cstrong\u003eNi1@CNT\u003c/strong\u003e and \u003cstrong\u003eNi2@CNT\u003c/strong\u003e. The catalytic properties of these three rare monomers and the reuse rate of the catalyst after loading were investigated.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eTable 3.\u003c/strong\u003e Styrene polymerization under various conditions.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea\u003c/sup\u003ePolymerization conditions: the catalyst was quantified using 0.5 mg, the reaction was performed using Toluene as the solvent, and the solution volume of the reaction system was adjusted to 5.0 mL.\u003csup\u003eb\u003c/sup\u003eThe [Ip]/[Ni] ratio indicated the molar ratio of Isoprene monomer to catalyst. \u003csup\u003ec\u003c/sup\u003eEASC(0.4 M solution in Hexane) was used as a co-catalyst. The [Al]/[Ni] ratio represented the co-catalyst and the molar ratioof the catalyst. \u003csup\u003ed\u003c/sup\u003eThe values of \u003cem\u003eM\u003c/em\u003ew and PDI were determined using GPC with polystyrene standards in THF\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u003c/strong\u003e showed the results of the reuse of the catalytic performance of heterogeneous catalysts \u003cstrong\u003eNi1@CNT\u003c/strong\u003e and \u003cstrong\u003eNi2@CNT\u003c/strong\u003e for isoprene, 1,3-butadiene and styrene, and the experimental results in the above results were used to achieve the best experimental conditions for up to 5 times of reuse, according to the experimental results data, it could be found that for the polymerization catalytic reaction of the three rare monomers, the two supported catalysts of \u003cstrong\u003eNi1@CNT\u003c/strong\u003e and\u003cstrong\u003e\u0026nbsp;Ni2@CNT\u003c/strong\u003e were reused for 5 times. Its catalytic performance was kept at the same level, which reflected the stability of its catalyst. There was a partial improvement in the performance of the catalyst after loading and before loading.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u003c/strong\u003e. Catalytic reuse of \u003cstrong\u003eNi1@CNT\u0026nbsp;\u003c/strong\u003eand \u003cstrong\u003eNi2@CNT\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv align=\"Left\"\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003eEntry\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 92px;\"\u003e\n \u003cp\u003eCat\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 50px;\"\u003e\n \u003cp\u003ePoly\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003eReuses\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003eYield(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003eMw(\u0026times;10\u003csup\u003e4\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003ePDI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi1@CNT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"10\" style=\"width: 50px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003ePPI\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e89.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e11.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e89.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e11.86\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e89.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e11.25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e89.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e11.63\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e89.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e11.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi2@CNT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e9.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e9.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e9.58\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e9.68\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e9.71\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi1@CNT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"10\" style=\"width: 50px;\"\u003e\n \u003cp\u003ePBD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e95.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e95.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e95.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e95.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.42\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e95.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" style=\"width: 54px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi2@CNT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e93.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.77\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e93.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.78\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e93.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e93.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e93.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e4.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e4.85\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" style=\"width: 54px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi1@CNT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"10\" style=\"width: 50px;\"\u003e\n \u003cp\u003ePSt\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e92.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" style=\"width: 54px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"5\" style=\"width: 92px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNi2@CNT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e65.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e65.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e65.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e65.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 109px;\"\u003e\n \u003cp\u003e65.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e1.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 83px;\"\u003e\n \u003cp\u003e1.37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eBy further analyzing the electrostatic potential maps of \u003cstrong\u003eNi1\u003c/strong\u003e and \u003cstrong\u003eNi2\u003c/strong\u003e in \u003cstrong\u003eFigures 9\u003c/strong\u003e(a-b), it is evident that the negatively charged region surrounding the Ni atom at the molecular center becomes increasingly restricted. This narrowing indicates an enhanced steric hindrance effect, which hinders monomers from approaching the Ni atom\u0026apos;s vicinity, resulting in a reduction in yield. However, in \u003cstrong\u003eNi2\u003c/strong\u003e, the phenyl ring in the R group exhibits a negative charge, which facilitates the adsorption of alkyl ligands. Consequently, this feature enhances the polymerization of isoprene, making Ni2 more effective than \u003cstrong\u003eNi1\u003c/strong\u003e in this reaction, as evidenced by its higher yield. As shown in \u003cstrong\u003eFigure S1\u003c/strong\u003e, we find no significant differences in the electrostatic potential distribution on the molecules; however, there are some variations in the range of -15 to -5 kcal/mol, whic increase from \u003cstrong\u003eNi1\u003c/strong\u003e to \u003cstrong\u003eNi2\u003c/strong\u003e. These differences arise from the increasing electrostatic potential distribution associated with the added alkyl groups from \u003cstrong\u003eNi1\u003c/strong\u003e to \u003cstrong\u003eNi2\u003c/strong\u003e.\u003c/p\u003e"},{"header":"4. Conclusions","content":"\u003cp\u003eThe two new nickel catalysts with α-diamine structure had good and stable catalytic performance for isoprene, 1,3-butadiene and styrene, among which \u003cb\u003eNi1\u003c/b\u003e could convert isoprene to 93.15%, 1,3-butadiene to 93.72%, and styrene to polystyrene to 81.71%. \u003cb\u003eNi2\u003c/b\u003e could achieve a maximum conversion of 95.6% for isoprene, 88.21% for 1,3-butadiene, and 65.39% for styrene to polystyrene. When the two catalysts were loaded onto the CNT, the two supported catalysts of \u003cb\u003eNi1@CNT\u003c/b\u003e and \u003cb\u003eNi2@CNT\u003c/b\u003e were prepared, and the catalytic performance remained stable after 5 repeated experiments, which proved that the new nickel catalyst with α-diamine structure had good stability, and the catalytic performance of some of them was improved after loading, which may be that there were more reaction sites on the CNT, and the reaction contact area of \u003cb\u003eNi1@CNT\u003c/b\u003e and \u003cb\u003eNi2@CNT\u003c/b\u003e and dilute monomers was improved when they were in contact with the reaction.In this experiment, two new nickel catalysts with α-diamine structure were designed and supported, which provided ideas for subsequent workers to prepare more stable and highly catalytically active α-diamine catalysts.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthor contributions\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMingyu Zhang: Conceptualization, Visualization, Investigation, Writing—Original Draft. Yutong Shan.: Formal analysis, Investigation. Dong Yan: Investigation, Methodology. Yuqi Tang: Formal analysis, Resources. Shuangping Xu Formal analysis, Resources: Conceptualization. Yanqing Qu: Resources, Supervising. Hongge Jia: Funding acquisition. Bo Wang: Conceptualization, Resources, Supervising.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding information\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by National Natural Science Foundation of China (52203093), Scientific research project of provincial university, Education Department of Heilongjiang Province, China (CLKFKT2021B12) \u0026amp; (135309350).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of competing interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eR. Geyer, J.R. Jambeck, K.L. Law. Production, use, and fate of all plastics ever made. \u003cem\u003eSci. Adv. \u003c/em\u003e3(2017)e1700782.\u003c/li\u003e\n\u003cli\u003eJ. Chen, Y. Gao, T.J. Marks. Early transition metal catalysis for olefin-polar monomer copolymerization.\u003cem\u003e Angew. Chem. Int. Ed.\u003c/em\u003e 59(2020)14726\u0026ndash;14735.\u003c/li\u003e\n\u003cli\u003eY. Gao, J. Chen, Y. Wang, D.B. Pickens, A. Motta, J. Wang, Y.W. Chung, T.L. Lohr, T.J. Marks. Highly branched polyethylene oligomers via group IV-catalysed polymerization in very nonpolar media. \u003cem\u003eNat. Catal\u003c/em\u003e. 2(2019)236\u0026ndash;242.\u003c/li\u003e\n\u003cli\u003eJ.M. Eagan, J. Xu, R.D. Girolamo, C.M. Thurber, C.W. Macosko, A.M. LaPointe, F.S.Bates, G.W. Coates. Combining polyethylene and polypropylene: enhanced performance with PE/iPP multiblock polymers. \u003cem\u003eScience\u003c/em\u003e 355(2017)814\u0026ndash;816.\u003c/li\u003e\n\u003cli\u003eC. Chen. Designing catalysts for olefin polymerization and copolymerization:beyond electronic and steric tuning. \u003cem\u003eNat. Rev\u003c/em\u003e.\u003cem\u003e Chem\u003c/em\u003e. 2(2018)6\u0026ndash;14.\u003c/li\u003e\n\u003cli\u003eM. St\u0026uuml;rzel, S. Mihan, R. M\u0026uuml;lhaupt. From multisite polymerization catalysis tosustainable materials and all-polyolefin composites. \u003cem\u003eChem. Rev\u003c/em\u003e. 116(2016)1398\u0026ndash;1433.\u003c/li\u003e\n\u003cli\u003eA. Nakamura, T.M.J. Anselment, J. Claverie, B. Goodall, R.F. Jordan, S. Mecking,B. Rieger, A. Sen, P.W.N.M. van Leeuwen, K. Nozaki. Ortho-phosphinobenzenesulfonate: A superb ligand for palladium-catalyzed coordination-insertion copolymerization of polar vinyl monomers. \u003cem\u003eAcc.Chem. Res\u003c/em\u003e. 46(2013)1438\u0026ndash;1449.\u003c/li\u003e\n\u003cli\u003eD. J. Walsh, M.G. Hyatt, S.A. Miller, D. Guironnet. Recent trends in catalytic polymerizations. \u003cem\u003eACS Catal\u003c/em\u003e. 9(2019)11153\u0026ndash;11188.\u003c/li\u003e\n\u003cli\u003eC. Tan, C. Chen. Emerging palladium and nickel catalysts for copolymerization of olefins with polar monomers. \u003cem\u003eAngew. Chem. Int. Ed.\u003c/em\u003e 58(2019)7192\u0026ndash;7200.\u003c/li\u003e\n\u003cli\u003eC. Zou, C. Chen. Polar-functionalized, crosslinkable, self-healing, and photoresponsive polyolefins, \u003cem\u003eAngew\u003c/em\u003e. \u003cem\u003eChem. Int. Ed\u003c/em\u003e. 59(2020)395\u0026ndash;402.\u003c/li\u003e\n\u003cli\u003eH. Tafazolian, D.B. Culver, M.P. Conley. A well-defined Ni(II) a-diimine catalyst supported on sulfated zirconia for polymerization catalysis. \u003cem\u003eOrganometallics.\u003c/em\u003e 36(2017)2385\u0026ndash;2388.\u003c/li\u003e\n\u003cli\u003eH. Zhang, C. Zou, H. Zhao, Z. Cai, C. Chen. Hydrogen-bonding-induced heterogenization of nickel and palladium catalysts for copolymerization of ethylene with polar monomers. \u003cem\u003eAngew. Chem. Int. Ed\u003c/em\u003e. 60(2021)17446\u0026ndash;17451.\u003c/li\u003e\n\u003cli\u003eC. Tan, C. Zou, C. Chen. An ionic cluster strategy for performance improvements and product morphology control in metal-catalyzed olefin-polar monomer copolymerization. \u003cem\u003eJ. Am. Chem. Soc.\u003c/em\u003e 144(2022)2245\u0026ndash;2254.\u003c/li\u003e\n\u003cli\u003eC. Zou, G. Si, C. Chen. A general strategy for heterogenizing olefin polymerization catalysts and the ynthesis of polyolefins and composites. \u003cem\u003eNat. Commun\u003c/em\u003e. 13(2022)1954.\u003c/li\u003e\n\u003cli\u003eJ. Gao, R.W. Dorn, G.P. Laurent, F.A. Perras, A.J. Rossini, M.P. Conley. A heterogeneous palladium catalyst for the polymerization of olefins prepared by halide abstraction using surface R\u003csub\u003e3\u003c/sub\u003eSi\u003csup\u003e+\u003c/sup\u003e Species. \u003cem\u003eAngew. Chem. Int. Ed.\u003c/em\u003e 61(2022)e202117279.\u003c/li\u003e\n\u003cli\u003eD. E. Bergbreiter, J. Tian, C. Hongfa. Using soluble polymer supports to facilitate homogeneous catalysis.\u003cem\u003e Chem. Rev.\u003c/em\u003e 109(2009)530\u0026ndash;582.\u003c/li\u003e\n\u003cli\u003eD. E. Bergbreiter. Soluble polymers as tools in catalysis. \u003cem\u003eACS Macro Lett\u003c/em\u003e.3(2014)260\u0026ndash;265.\u003c/li\u003e\n\u003cli\u003eM. R. Buchmeiser. Polymer-supported well-defined metathesis catalysts. \u003cem\u003eChem. Rev\u003c/em\u003e. 109(2009)303\u0026ndash;321.\u003c/li\u003e\n\u003cli\u003eH. Cao, Y. Qin, C. Zhuo, X. Wang, F. Wang. Homogeneous metallic oligomer catalyst with multisite intramolecular cooperativity for the synthesis of CO\u003csub\u003e2\u003c/sub\u003e-based polymers. \u003cem\u003eACS Catal\u003c/em\u003e. 9(2019)8669\u0026ndash;8676.\u003c/li\u003e\n\u003cli\u003eR. Zhang, Q. Kuang, H. Cao, S. Liu, X. Chen, X. Wang, F. Wang. Unity makes strength: constructing polymeric catalyst for selective synthesis of CO\u003csub\u003e2\u003c/sub\u003e/epoxide copolymer. \u003cem\u003eCCS Chem\u003c/em\u003e. (2022).\u003c/li\u003e\n\u003cli\u003eG. Wilke. Fifty years of ziegler catalysts: consequences and development of an invention, Angew. \u003cem\u003eChem. Int. Ed\u003c/em\u003e. 42(2003)5000\u0026ndash;5008. \u003c/li\u003e\n\u003cli\u003eH. Mu, G. Zhou, X. Hu, Z. Jian. Recent advances in nickel mediated copolymerization of olefin with polar monomers. \u003cem\u003eCoord. Chem. Rev.\u003c/em\u003e 435(2021)213802. \u003c/li\u003e\n\u003cli\u003eC. Tan, C. Chen. Nickel catalysts for the synthesis of ultra-high molecular weight polyethylene. \u003cem\u003eSci. Bull\u003c/em\u003e. 65(2020)1137\u0026ndash;1138. \u003c/li\u003e\n\u003cli\u003eC. Tan, C. Chen. Emerging palladium and nickel catalysts for copolymerization of olefins with polar monomers. \u003cem\u003eAngew. Chem. Int. Ed\u003c/em\u003e. 58(2019)7192\u0026ndash;7200. \u003c/li\u003e\n\u003cli\u003eC. Zou, G. Si, C. Chen. A general strategy for heterogenizing olefin polymerization catalysts and the synthesis of polyolefins and composites. \u003cem\u003eNat. Commun\u003c/em\u003e. 13(2022)1\u0026ndash;12. \u003c/li\u003e\n\u003cli\u003eA. Chen, D. Liao, C. Chen. Promoting ethylene (co)polymerization in aliphatic hydrocarbon solvents using tert-butyl substituted nickel catalysts. \u003cem\u003eChin. J. Chem\u003c/em\u003e. 40(2022)215\u0026ndash;222. \u003c/li\u003e\n\u003cli\u003eS. Dai, X. Sui, C. Chen. Synthesis of high molecular weight polyethylene using iminopyridyl nickel catalysts. \u003cem\u003eChem. Commun\u003c/em\u003e. 52(2016)9113\u0026ndash;9116. \u003c/li\u003e\n\u003cli\u003eT. V. Laine, K. Lappalainen, J. Liimatta, E. Aitola, B. L\u0026uml;ofgren, M. Leskel\u0026uml;a. Polymerization of ethylene with new diimine complexes of late transition metals. \u003cem\u003eMacromol. Rapid Commun.\u003c/em\u003e 20(1999)487\u0026ndash;491. \u003c/li\u003e\n\u003cli\u003eW.H. Sun, S. Song, B. Li, C. Redshaw, X. Hao, Y.S. Li, F. Wang. Ethylene polymerization by 2-iminopyridylnickel halide complexes: synthesis, characterization and catalytic influence of the benzhydryl group. \u003cem\u003eDalton Trans\u003c/em\u003e. 41(2012)11999\u0026ndash;12010. \u003c/li\u003e\n\u003cli\u003eL. Zhang, X. Hao, W.H. Sun, C. Redshaw. Synthesis, characterization, and ethylene polymerization behavior of 8-(nitroarylamino)-5,6,7-trihydroquinolylnickel dichlorides: Influence of the nitro group and impurities on catalytic activity. \u003cem\u003eACS Catal\u003c/em\u003e. 1(2011)1213\u0026ndash;1220. \u003c/li\u003e\n\u003cli\u003eX. Fu, L. Zhang, R. Tanaka, T. Shiono, Z. Cai. Highly robust nickel catalysts containing anilinonaphthoquinone ligand for copolymerization of ethylene and polar monomers.\u003cem\u003eMacromolecules.\u003c/em\u003e 50(2017)9216\u0026ndash;9221. \u003c/li\u003e\n\u003cli\u003eT. Liang, S.B. Goudari, C. Chen. A simple and versatile nickel platform for the generation of branched high molecular weight polyolefins. \u003cem\u003eNat. Commun.\u003c/em\u003e 11(2020)1\u0026ndash;8. \u003c/li\u003e\n\u003cli\u003eB. Xin, N. Sato, A. Tanna, Y. Oishi, Y. Konishi, F. Shimizu. Nickel catalyzed copolymerization of ethylene and alkyl acrylates. \u003cem\u003eJ. Am. Chem. Soc.\u003c/em\u003e 139(2017)3611\u0026ndash;3614 \u003c/li\u003e\n\u003cli\u003eJ.L. Rhinehart, L.A. Brown, B.K. Long. A robust Ni(II) \u0026alpha;-diimine catalyst for high temperature ethylene polymerization. \u003cem\u003eJ. Am. Chem. Soc.\u003c/em\u003e 135(2013)16316\u0026ndash;16319. \u003c/li\u003e\n\u003cli\u003eD. Zhang, E.T. Nadres, M. Brookhart, O. Daugulis. Synthesis of highly branched polyethylene using \u0026ldquo;sandwich\u0026rdquo; (8-p-tolylnaphthyl\u0026alpha;-diimine)nickel(II) catalysts. \u003cem\u003eOrganometallics.\u003c/em\u003e 32(2013)5136\u0026ndash;5143. \u003c/li\u003e\n\u003cli\u003eO. Padilla-V\u0026acute;elez, K.S. O\u0026rsquo;Connor, A.M. Lapointe, S.N. Macmillan, G.W. Coates. Switchable living nickel(ii) \u0026alpha;-diimine catalyst for ethylene polymerisation. \u003cem\u003eChem. Commun.\u003c/em\u003e 55(2019)7607\u0026ndash;7610. \u003c/li\u003e\n\u003cli\u003eC. Tan, C. Zou, C. Chen. An ionic cluster strategy for performance improvements and product morphology control in metal-catalyzed olefin-polar monomer copolymerization. \u003cem\u003eJ. Am. Chem. Soc. \u003c/em\u003e144(2022)2245\u0026ndash;2254. \u003c/li\u003e\n\u003cli\u003eD. Peng, C. Chen. Photoresponsive palladium and nickel catalysts for ethylene polymerization and copolymerization.\u003cem\u003eAngew. Chem. Int. Ed.\u003c/em\u003e 60(2021)22195\u0026ndash;22200. \u003c/li\u003e\n\u003cli\u003eN. Zhu, T. Liang, Y. Huang, W. Pang, M. Chen, C. Tan. Influences of ligand backbone substituents on phosphinecarbonylpalladium and-nickel catalysts for ethylene polymerization and copolymerization with polar monomers. \u003cem\u003eInorg. Chem\u003c/em\u003e. 60(2021)13080\u0026ndash;13090\u003c/li\u003e\n\u003cli\u003eM. Li, X. Wang, Y. Luo, C. Chen. A second-coordination-sphere strategy to modulate nickel- and palladium-catalyzed olefin poly-merization and copolymerization. \u003cem\u003eAngew. Chem. Int. Ed.\u003c/em\u003e 56(2017)11604\u0026ndash;11609. \u003c/li\u003e\n\u003cli\u003eK. Lian, Y. Zhu, W. Li, S. Dai, C. Chen. Direct synthesis of thermo- plastic polyolefin elastomers from nickel catalyzed ethylene polymerization. \u003cem\u003eMacromolecules.\u003c/em\u003e 50(2017)6074\u0026ndash;6080. \u003c/li\u003e\n\u003cli\u003eJ. Fang, X.L. Sui, Y. Li, C. Chen. Synthesis of polyolefin elastomers from unsymmetrical \u0026alpha;-diimine nickel catalyzed olefin polymerization. \u003cem\u003ePolym. Chem.\u003c/em\u003e 9(2018)4143\u0026ndash;4149. \u003c/li\u003e\n\u003cli\u003eC. Tan, C. Zou, C. Chen. An ionic cluster strategy for performance improvements and product morphology control in metal-catalyzed olefin\u0026ndash;polar monomer copolymerization. \u003cem\u003eJ. Am. Chem. Soc.\u003c/em\u003e 144(2022) 2245\u0026ndash;2254. \u003c/li\u003e\n\u003cli\u003eC. Tan, C. Zou, C. Chen. Material properties of functional polyethylenes from transition-etmal-catalyzed ethylene\u0026ndash;polar monomer copolymerization. \u003cem\u003eMacromolecules. \u003c/em\u003e55(2022) 1910\u0026ndash;1922. \u003c/li\u003e\n\u003cli\u003eM. Xu, Y. Liu, W. Pang, Y. Pan, M. Chen, C. Zhou, C. Tan. Cocatalyst effects in \u0026alpha;-diimine nickel catalyzed ethylene polymerization. \u003cem\u003ePoly-mer.\u003c/em\u003e 255(2022)125116. \u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-polymer-research","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jpol","sideBox":"Learn more about [Journal of Polymer Research](https://www.springer.com/journal/10965)","snPcode":"10965","submissionUrl":"https://www.editorialmanager.com/jpol/","title":"Journal of Polymer Research","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"αdiamine nickel-based catalyst, supported catalysts, polymerization, reuse","lastPublishedDoi":"10.21203/rs.3.rs-8222005/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8222005/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBased on the conventional α-diamine framework, two novel nickel-based catalysts (\u003cb\u003eNi1\u003c/b\u003e and \u003cb\u003eNi2\u003c/b\u003e) were designed and synthesized by using acenaphthenequinone and Ni(DME)Cl\u003csub\u003e2\u003c/sub\u003e, with 2,6-R\u003csub\u003e2\u003c/sub\u003e-aniline [R\u0026thinsp;=\u0026thinsp;OMe (\u003cb\u003e1\u003c/b\u003e) or Ph (\u003cb\u003e2\u003c/b\u003e)] as precursors. To evaluate the catalytic activity of \u003cb\u003eNi1\u003c/b\u003e and \u003cb\u003eNi2\u003c/b\u003e, three alkene monomers \u0026mdash; styrene, 1,3-butadiene, and isoprene \u0026mdash; were polymerized under varying reaction conditions. The results demonstrated that the maximum yields achieved with \u003cb\u003eNi1\u003c/b\u003e were 93.72%, 81.71% and 93.15%, respectively, while \u003cb\u003eNi2\u003c/b\u003e yielded 88.21%, 65.39%, and 95.60% for the same monomers. Subsequently, two supported catalysts (\u003cb\u003eNi1@CNT\u003c/b\u003e and \u003cb\u003eNi2@CNT\u003c/b\u003e) were synthesized by immobilizing \u003cb\u003eNi1\u003c/b\u003e and \u003cb\u003eNi2\u003c/b\u003e onto carbon nanotubes (CNTs). The reusability of these supported catalysts was investigated. Under the optimal conditions for \u003cb\u003eNi1\u003c/b\u003e and \u003cb\u003eNi2\u003c/b\u003e, it was observed that after five consecutive cycles, the catalytic activities of \u003cb\u003eNi1@CNT\u003c/b\u003e and \u003cb\u003eNi2@CNT\u003c/b\u003e remained nearly unchanged, maintaining performance levels comparable to the initial cycle.\u003c/p\u003e","manuscriptTitle":"Synthesis of two novel α-diamine nickel catalysts, supported on carbon nanotubes, and their properties of alkene polymerization","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-05 15:03:54","doi":"10.21203/rs.3.rs-8222005/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"","date":"2025-12-06T12:29:46+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-03T04:49:50+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"Journal of Polymer Research","date":"2025-11-30T14:58:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-28T04:12:48+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Polymer Research","date":"2025-11-27T22:08:00+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-polymer-research","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jpol","sideBox":"Learn more about [Journal of Polymer Research](https://www.springer.com/journal/10965)","snPcode":"10965","submissionUrl":"https://www.editorialmanager.com/jpol/","title":"Journal of Polymer Research","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"1c90a6d0-6f78-404e-ba49-020ed2aad2d5","owner":[],"postedDate":"December 5th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-12-05T15:03:54+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-05 15:03:54","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8222005","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8222005","identity":"rs-8222005","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}