Experimental and Computational study of Some Schiff Bases

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Tawfiq, Omar J. Mahdi, Ahmed H. Hattab This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6157405/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Imines are a crucial building block in the synthesis of many organic compounds. The acid-catalyzed condensation of p-chloro aniline and p-amino toluene, and aromatic aldehyde derivatives produced a number of Schiff bases. The products were recrystallized and identified by their FT-IR, 1HNMR and mass spectra. A computational study by Density Functional Theory (DFT) for the electronic structures was intended to study the effects of para substituted of benzaldehyde on the electronic structure of synthesized Schiff bases by using the ORCA software package. Imines Schiff bases DFT ORCA Figures Figure 1 Figure 2 Figure 3 INTRODUCTION Imine compounds are the most significant class having azomethine group (HC = N-), which is known as Schiff base group.[ 1 ] The domain of Schiff base has been rapidly developed because of the vast potential architectures for the products based on the active carbonyl compounds and amines examined. [ 2 ] Several Schiff bases have been reported to have pharmaceutical applications, including antibacterial [ 3 ], antitumor [ 4 ], antifungal [ 5 ], antioxidant [ 6 ], enzymatic activity [ 7 ], anticancer [ 8 ], anti-inflammatory [ 9 ], antihypertensive [ 10 ], anti-glycation [ 11 ], anti-HIV [ 12 ], antitubercular [ 13 ], anticonvulsant, and neurotoxicity [ 14 ]. Computational chemistry is used to identify the eigenvalues that describe chemical interactions, reactivity, and selectivity. These physical features provide a behavior of the energy levels between their differences. [ 15 ] The energy level of lowest un-occupied molecular orbital (LUMO) and highest occupied molecular orbital (HOMO) were called frontier-molecular orbital (FMO). These levels used to characterize the kinetic study, reactivity and spectroscopic behavior [ 16 ] The novelty of this paper is the preparation of core Imine compounds in the same molecule by employing substitute aldehyde with p-chloro aniline and p-amino toluene, as well as the computational study to compute the energies of the HOMO and LUMO orbitals, which are used to predict some physical features. MATERIALS 4-chloroaniline, 4-methylaniline, 4-nitro benzaldehyde, 4-methoxy benzaldehyde. Sigma-Aldrich Chemical Co. supplied the chemicals. Scharlau supplied the solvents. Instrumentation Bruker-Tensor 27 spectrometer was used to record infrared spectra. DMSO-d6 as a solvent and TMS as an internal standard were used to generate 1H-NMR spectra on a Bruker-400 MHz spectrometer. Mass spectrum analyses were performed by the Agilent Technology MS 5973 device. Procedure Routes formation of all compounds A1-A4 were depicted in Scheme 1 . General procedure for synthesis of (Imines) N-(4-chlorophenyl)-1-(4-nitrophenyl) methanimine A1 In a two neck round bottom flask 100 mL containing 4-chloroaniline (0.01 mol) and EtOH (15 mL), a solution of 4-nitrobenzaldehyde (0.01 mol) in (10 mL) EtOH and several drops of G.A.A. were added. After 4 hours of refluxing, the precipitate was filtered and recrystallized from EtOH. The other derivatives were created in the same manner. Characterization of N-(4-chlorophenyl)-1-(4-nitrophenyl) methanimine [A1] Yellow solid, yield 83%; mp 194–196°C. IR (ν cm-1): 3099 (C-H aromatic),, 1624 (C = N), 1597, 1487 (C = C aromatic), 1008 (C-N). TLC: R f = 0.81 (benzene:methanol) (9:1), 1H-NMR spectrum (δ, ppm) : 7.36–8.40 (m, 8H arom.), 8.91 (s, 1H azomethene). Characterization of (4-chlorophenyl)-1-(4-methoxyphenyl)methanimine [A2] white solid, yield 74%; mp 142–144°C. IR (ν cm-1): 3018 (C-H aromatic),, 1619 (C = N), 1567, 1477 (C = C aromatic), 1090 (C-N). TLC: R f = 0.75 (benzene:methanol) (9:1), 1H-NMR spectrum (δ, ppm) : 3.81 (s, 3H methoxy.), 7.06–7.89 (m, 8H arom.), 8.39 (s, 1H azomethene). Characterization of 1-(4-methoxyphenyl)-N-(p-tolyl)methanimine [A3]. white solid, yield 71%; mp 153–155°C. IR (ν cm-1): 3077 (C-H aromatic),, 1621 (C = N), 1595, 1504 (C = C aromatic), 1022 (C-N). TLC: R f = 0.79 (benzene:methanol) (9:1), 1H-NMR spectrum (δ, ppm) : 2.09 (s, 3H methyl group.), 7.49–7.74 (m, 8H arom.), 8.33 (s, 1H azomethene). Characterization of 1-(4-nitrophenyl)-N-(p-tolyl)methanimine [A4]. Yellow solid, yield 79%; mp 136–138°C. IR (ν cm-1): 3078 (C-H aromatic), 1625 (C = N), 1596, 1514 (C = C aromatic), 1005 (C-N). TLC: R f = 0.73 (benzene:methanol) (9:1). 1H-NMR spectrum (δ, ppm) : 2.10 (s, 3H methyl group.), 8.22–8.41 (m, 8H arom.), 8.92 (s, 1H azomethene). COMPUTATIONAL DETAILS All the calculations were carried out using the ORCA software package (version 4.2.1)[ 17 – 19 ] and Kohn − Sham DFT. We employed the Geometry optimizations and vibrational frequency calculations were performed using the def2-SVP basis set [ 20 ] on all atoms. RESULT AND DISCUSSION The FT-IR spectral analysis of the imine compounds is discussed below. Generally, imines indicate a strong C = N stretching vibration in the region 1619-1625cm − 1. The existence of C = N stretching band supports the skeleton of the imine compounds. The aromatic C-H stretching band arises in the broad region 2319-3052cm − 1. The observed imine, aliphatic and aromatic C-H stretching frequencies were confirmed the compounds. IR spectral values of compounds are displayed in Table 1 . Table 1 FTIR spectral data (cm − 1 ) for synthesized A1-A4 compound Comp. υ C-H arom υ C = N st. υ C = C st. υ C-N st. Other 1 -cm A1 3099 1624 1597 1487 1008 1371 C-NO2 sy. 1340 C-NO2 asy. A2 3018 1619 1567 1477 1090 2962 C-H alip. A3 3077 1621 1595 1504 1022 2971 C-H alip. A4 3078 1625 1596 1514 1005 1376 C-NO2 sy. 1339 C-NO2 asy. 1H-NMR spectra have been recorded in DMSOd6 solvent. The signals were obtained in the 1H-NMR spectra were consigned and established accordingly to their position, multiplicities and integral values. In general, the aromatic proton signals emerged in the higher frequency region at 7.00-8.50 ppm due to the magnetic anisotropic effect. In the 1H-NMR spectrum of Imine compounds derivatives, the signals appeared in the region 7.06-8.41ppm resemble to eight protons integral due to aromatic protons. A single signal speak detected at 8.33–8.92 ppm is assigned to one proton (azomethene). .1H-NMR spectral values of compound A is displayed in Fig. 1 . Computational Study Molecular properties related to synthesized A1-A4 compounds, such as dipole moment, HOMO, LUMO, HOMO-LUMO gap, and some electronic properties were performed by using density functional theory (DFT), (B3LYP) as a functional and the def 2-SVP as a basis set using the ORCA software package. Computational Result and Dissection Molecules with wide HOMO-LUMO gaps are generally stable and unreactive, whereas molecules with tiny gaps are reactive. The higher the HOMO energies, the easier it is for HOMO to donate electrons, and the lower the LUMO energies, the easier it is for LUMO to accept electrons. Computational study showed a little effect of synthesized A1-A4 by substitution of halogen except for A increasing the LUMO energy level and the molecule becomes more stable compared to other compounds. HOMO and LUMO orbitals and their energy gap for A1-A4 compounds. The electronic properties such as electron affinity A, Ionization potential I, absolute electronegativity µ, absolute hardness η,, and electrophilicity ω were calculated by the following equations, results are given in Table 2 . \(\:\varvec{A}=-\left({\varvec{E}}_{\varvec{L}\varvec{U}\varvec{M}\varvec{O}\:}\right)\) \(\:\varvec{I}=-\left({\varvec{E}}_{\varvec{H}\varvec{O}\varvec{M}\varvec{O}\:}\right)\) \(\:\varvec{\omega\:}=\frac{{\varvec{\mu\:}}^{2}}{2\varvec{\eta\:}}\) \(\:\varvec{\mu\:}=\frac{{\varvec{E}}_{\varvec{L}\varvec{U}\varvec{M}\varvec{O}}+{\varvec{E}}_{\varvec{H}\varvec{O}\varvec{M}\varvec{O}}}{2}\) \(\:\varvec{\eta\:}=\frac{{\varvec{E}}_{\varvec{L}\varvec{U}\varvec{M}\varvec{O}}-{\varvec{E}}_{\varvec{H}\varvec{O}\varvec{M}\varvec{O}}}{2}\) Table 2 HOMO, LUMO, and Some electronic properties for synthesized for A1-A4 compounds code Property (a.u) E HOMO E LUMO E HOMO -E LUMO E Lumo -E HOMO I A \(\:\varvec{\mu\:}\) η ω A1 -6.447 -2.943 -3.504 3.504 6.447 2.943 4.695 1.752 2.6888 A2 -5.766 -1.651 -4.115 4.115 5.766 1.651 3.708 2.0575 4.3550 A3 -5.587 -1.441 -4.146 4.146 5.587 1.441 3.514 2.073 4.4541 A4 -6.279 -2.796 -3.483 3.483 6.279 2.796 4.537 1.7415 2.6408 A = Electrone affinity, I = Ionization potential, µ = Mu = Electronegativity, η = Eta = Hardness, ω = Omega = Electrophilicity The highest occupied molecular orbitals (HOMO) and lowest unoccupied molecular orbitals (LUMO) are the types of frontier molecular orbitals. The HOMO has capacity to donate an electron whereas LUMO represents the ability to accept electron. These orbitals are important to decide the stability of the chemical compound. The HOMO and LUMO energy values was calculated through DFT method using B3LYP/ def2-SVP level of theory are shown table (2). The transfer of electron from ground state to the excited state is labelled by one electron from highest occupied molecular orbitals to the lowest unoccupied molecular orbitals. The displayed diagram of HOMO-LUMO energy value is shown in Fig. 2 . The energy gap between HOMO and LUMO gives the detail interaction between the molecules and chemical stability [ 21 ]. The HOMO electronic density distribution for Schiff bases are plotted in Fig. 3. Atomic Charges Atomic charges affect the dipole moment, polarizability, electronic structure and the properties of molecular systems. Mulliken atomic charge plays a significant role in the application of quantum chemical calculation to molecular system. Accordingly, the Mulliken atomic charge calculations used in this paper. The compounds A1-A4 are calculated Mulliken atomic charge are recorded in Table 3. Thus, from the distribution charge calculation, we can see many of the heteroatoms displayed major electron density. from the given table data Table 3. The A2 compound illustrated that the high positive charges in a molecule are C21 = 0.230530 and C25 = 0.173221 The positive regions are associated to nucleophilic reactivity. [ 22 – 23 ]. CONCLUSION In this paper, the synthesize new Spiro derivatives were successfully synthesized, and this has been proved by spectral analyses. The study of energies of the HOMO and LUMO orbitals negative indicates that compounds A1-A4 are stable compounds, Hardness results indicate that compound A2 has more aromatic character compared to other compounds. Declarations Author Contribution Asya A. Tawfiq has made the computational study by Density Functional Theory (DFT) for the electronic structures Omar J. Mahdi has prepared the acid-catalyzed condensation of p-chloro aniline and p-amino toluene and aromatic aldehyde derivatives to produce a number of Schiff bases. Ahmed H. Hattab has collected the data and analysed it. References Ali S T F, Ghanim H T (2016) Synthesis and characterization of heterocyclic compounds from amine derivative. International Journal of ChemTech Research 9(9):360-367. Ebiael Y, Soliman H, Abdella M (2010) Experimental and Theoretical Investigation of spectral tautomerism and acid-base properties of Schiff bases derived from some amino acids.Bulletin of the Korean Chemical Society (31): 850-858. Abu-Khadra A S, Farag R S, Abdel-Hady, A E D M (2016) Synthesis, Characterization and antimicrobial activity of Schiff base (E)-N-(4-(2-hydroxybenzylideneamino)phenylsulfonyl) acetamide metal complexes American Journal of Analytical Chemistry 7(3): 233-245. Boraci A T A, Gomaa M S, Ashry S H, Duerkop A (2017) Design, Selective alkylation and X-ray crystal structure determination of dihydro-indolyl-1,2,4-triazole-3-thione and its 3-benzylsufanylana logue as potent anticancer agents. Eur. J. Med. Chem., 125:360-371. Wei L, Tan W, Zhang J, Mi Y, Dong F, Li Q, Guo Z(2019) Synthesis, Characterization, and Antifungal activity of Schiff bases of Inulin Bearing Pyridine ring. Polymers 11(2): 371-382. Slassi S, Fix-Tailler A, Larcher G, Amine A, El-Ghayoury A (2019) Imidazole and Azo-based Schiff bases ligands as Highly active antifungal and antioxidant components. Hindawi Heteroatom Chemistry 3:1-8. Al-Garawi Z S M, Tomi I H R, Al-Daraji A H R (2012) Synthesis and Characterization of new amino acid-Schiff bases and studies their effects on the activity of ACP, PAP and NPA enzymes (in-vitro). Journal of Chemistry 9(2):962-969. Wani W A, Al-Othman Z, Ali I, Saleem K, Hsieh M F (2014) Copper(II), Nickel(II), and Ruthenium(III) complexes of an oxopyrrolidine-based heterocyclic ligand as anticancer agents. Journal of Coordination Chemistry 67(12):2110-2113. Shashikala M, Arunadevi P, Sarangapani M, Prasad M S K (2016) Studies on the anti-inflammatory activity of Schiff base derived compounds. ASIAN Journal of Science and Technology7(7): 3143-3144. Sharma M C, Kohli D V, Sharma S, Sharma A D (2010) Synthesis and Antihypertensive activity of Schiff bases of /4-(6-chloro-5-nitro-2-[4-(3-substituted phenyl-acryloylamino)-phenyl]-benzimidazole-1-yl-methyl0-biphenyl-2-carboxylic acids. Adv. Appl. Sci. Res. 1(1):120-132. Choudhary M I, Abbas G, Ali S, Shuja S, Khalid N, Khan K M, Rahman A, Basha F(2011) Substituted benzenediol Schiff bases as promising new anti-glycation agents. Journal of Enzyme Inhibition and Medicinal Chemistry 2(1): 98-103. Patel R N, Patel P, Desai K, Purohit P, Nimavat K, Vyas K (2012) Synthesis of new heterocyclic Schiff base, Thiazolidinone and Azetidinone compounds and their antibacterial activity, and anti-HIV activities. Heterocyclic Letters 2(1): 99-105. Meeran I S, Tajndeen S S, Dusthakeer V N A, Shabeer T K (2018) An Insight into the Anti-tubercular potential of Schiff bases. Journal of Pharmaceutical, Chemical and Biological Science 6(3):158-177. Bhat M A, Al-Omar M A (2011) Synthesis, Characterization and in vivo anticonvulsant and Neurotoxicity sereening of Schiff bases of phthalimide. Acta. poloniae pharmaceutica-Drug Research 68(3): 375-380. Saranya M, Ayyappan S, Nithya R, Sangeetha R K and Gokila A (2018) Molecular structure, nbo and homo-lumo analysis of quercetin on single layer graphene by density functional theory. Digest J. Nanomaterials and Biostructures 13 (1), 97 – 105. Osman I Osman (2017) DFT Study of the structure, reactivity, natural bond orbital and hyperpolarizability of thiazole azo dyes. Int. J.Mol. Sci. 18 , 239. [17] Neese, F. The ORCA Program System. Wiley Interdiscip. Rev.: Comput. Mol. Sci. 2012, 2, 73. Neese, F.; Wennmohs, F.; Becker, U.; Riplinger, C. The ORCA Quantum Chemistry Program Package. J. Chem. Phys. 2020, 152, 224108. Neese, F. Software Update: The ORCA Program System,Version 4.0. Wiley Interdiscip. Rev.: Comput. Mol. Sci. 2018, 8, No. e1327. Weigend, F. Accurate Coulomb-Fitting Basis Sets for H to Rn. Phys. Chem. Chem. Phys. 2006, 8, 1057−1065. Shearer, G. C.; Chavan, S.; Bordiga, S.; Svelle, S.; Olsbye, U.; Lillerud, K. P. Defect Engineering: Tuning the Porosity and Composition of the Metal-Organic Framework UiO-66 via Modulated Synthesis. Chem. Mater. 2016, 28, 3749−3761. Mulliken R. J Chem Phys 1962; 36, 3428. Rigby J and Izgorodina EI. Phys Chem Chem Phys 2013; 15,1632 Schemes Scheme 1 is available in the Supplementary Files section Additional Declarations No competing interests reported. Supplementary Files Scheme1.docx Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6157405","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":425016884,"identity":"69ba28e2-c475-4f0e-89cf-a9ffeb4cff48","order_by":0,"name":"Asya A. 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Hattab","email":"data:image/png;base64,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","orcid":"","institution":"University of Kirkuk","correspondingAuthor":true,"prefix":"","firstName":"Ahmed","middleName":"H.","lastName":"Hattab","suffix":""}],"badges":[],"createdAt":"2025-03-04 23:23:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6157405/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6157405/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":78150825,"identity":"72361d1b-71d9-41ed-955c-25b96febef03","added_by":"auto","created_at":"2025-03-10 11:43:02","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":33202,"visible":true,"origin":"","legend":"\u003cp\u003e1 H NMR spectrum of compound A3\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6157405/v1/5a8e3a5c3a00b79e363f089b.png"},{"id":78150826,"identity":"ac78b78e-acc0-4a2f-bab1-084cedf194d8","added_by":"auto","created_at":"2025-03-10 11:43:02","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":28633,"visible":true,"origin":"","legend":"\u003cp\u003eHOMO-LUMO energy value and the energy gap\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6157405/v1/3e5f7967dbd64222a011fde0.png"},{"id":78152385,"identity":"5a8bf854-5423-4202-aa5e-d7e8b4c6cb59","added_by":"auto","created_at":"2025-03-10 11:59:03","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":356272,"visible":true,"origin":"","legend":"\u003cp\u003eThe HOMO and LUMO of compounds A1-A4\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6157405/v1/4070921217d0dac3125dd6a4.png"},{"id":79015616,"identity":"071bdad7-5db7-422c-95b4-b5482d98f2de","added_by":"auto","created_at":"2025-03-22 13:31:41","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1237616,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6157405/v1/4003cd44-5f51-4aa9-b563-9e2348cc1834.pdf"},{"id":78150827,"identity":"82ebab04-ceba-487b-8bc3-d11bb547e32c","added_by":"auto","created_at":"2025-03-10 11:43:02","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":37345,"visible":true,"origin":"","legend":"","description":"","filename":"Scheme1.docx","url":"https://assets-eu.researchsquare.com/files/rs-6157405/v1/6d3acfb870656de6102a5c67.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Experimental and Computational study of Some Schiff Bases","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eImine compounds are the most significant class having azomethine group (HC\u0026thinsp;=\u0026thinsp;N-), which is known as Schiff base group.[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e] The domain of Schiff base has been rapidly developed because of the vast potential architectures for the products based on the active carbonyl compounds and amines examined. [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e] Several Schiff bases have been reported to have pharmaceutical applications, including antibacterial [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], antitumor [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e], antifungal [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e], antioxidant [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e], enzymatic activity [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e], anticancer [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e], anti-inflammatory [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e], antihypertensive [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], anti-glycation [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e], anti-HIV [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], antitubercular [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e], anticonvulsant, and neurotoxicity [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Computational chemistry is used to identify the eigenvalues that describe chemical interactions, reactivity, and selectivity. These physical features provide a behavior of the energy levels between their differences. [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e] The energy level of lowest un-occupied molecular orbital (LUMO) and highest occupied molecular orbital (HOMO) were called frontier-molecular orbital (FMO). These levels used to characterize the kinetic study, reactivity and spectroscopic behavior [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e] The novelty of this paper is the preparation of core Imine compounds in the same molecule by employing substitute aldehyde with p-chloro aniline and p-amino toluene, as well as the computational study to compute the energies of the HOMO and LUMO orbitals, which are used to predict some physical features.\u003c/p\u003e"},{"header":"MATERIALS","content":"\u003cp\u003e4-chloroaniline, 4-methylaniline, 4-nitro benzaldehyde, 4-methoxy benzaldehyde. Sigma-Aldrich Chemical Co. supplied the chemicals. Scharlau supplied the solvents.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eInstrumentation\u003c/h2\u003e \u003cp\u003eBruker-Tensor 27 spectrometer was used to record infrared spectra. DMSO-d6 as a solvent and TMS as an internal standard were used to generate 1H-NMR spectra on a Bruker-400 MHz spectrometer. Mass spectrum analyses were performed by the Agilent Technology MS 5973 device.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eProcedure\u003c/h3\u003e\n\u003cp\u003eRoutes formation of all compounds A1-A4 were depicted in Scheme \u003cspan refid=\"Sch1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\n\u003ch3\u003e\u003c/h3\u003e\n\u003cdiv class=\"Heading\"\u003e\u003cb\u003eGeneral procedure for synthesis of (Imines) N-(4-chlorophenyl)-1-(4-nitrophenyl) methanimine A1\u003c/b\u003e\u003c/div\u003e \u003cp\u003eIn a two neck round bottom flask 100 mL containing 4-chloroaniline (0.01 mol) and EtOH (15 mL), a solution of 4-nitrobenzaldehyde (0.01 mol) in (10 mL) EtOH and several drops of G.A.A. were added. After 4 hours of refluxing, the precipitate was filtered and recrystallized from EtOH. The other derivatives were created in the same manner.\u003c/p\u003e\n\u003ch3\u003eCharacterization of N-(4-chlorophenyl)-1-(4-nitrophenyl) methanimine [A1]\u003c/h3\u003e\n\u003cp\u003eYellow solid, yield 83%; mp 194\u0026ndash;196\u0026deg;C. IR (ν cm-1): 3099 (C-H aromatic),, 1624 (C\u0026thinsp;=\u0026thinsp;N), 1597, 1487 (C\u0026thinsp;=\u0026thinsp;C aromatic), 1008 (C-N). TLC: R\u003cem\u003ef\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.81 (benzene:methanol) (9:1), 1H-NMR spectrum (δ, ppm) : 7.36\u0026ndash;8.40 (m, 8H arom.), 8.91 (s, 1H azomethene).\u003c/p\u003e\n\u003ch3\u003eCharacterization of (4-chlorophenyl)-1-(4-methoxyphenyl)methanimine [A2]\u003c/h3\u003e\n\u003cp\u003ewhite solid, yield 74%; mp 142\u0026ndash;144\u0026deg;C. IR (ν cm-1): 3018 (C-H aromatic),, 1619 (C\u0026thinsp;=\u0026thinsp;N), 1567, 1477 (C\u0026thinsp;=\u0026thinsp;C aromatic), 1090 (C-N). TLC: R\u003cem\u003ef\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.75 (benzene:methanol) (9:1), 1H-NMR spectrum (δ, ppm) : 3.81 (s, 3H methoxy.), 7.06\u0026ndash;7.89 (m, 8H arom.), 8.39 (s, 1H azomethene).\u003c/p\u003e \u003cp\u003e \u003cb\u003eCharacterization of 1-(4-methoxyphenyl)-N-(p-tolyl)methanimine [A3].\u003c/b\u003e \u003c/p\u003e \u003cp\u003ewhite solid, yield 71%; mp 153\u0026ndash;155\u0026deg;C. IR (ν cm-1): 3077 (C-H aromatic),, 1621 (C\u0026thinsp;=\u0026thinsp;N), 1595, 1504 (C\u0026thinsp;=\u0026thinsp;C aromatic), 1022 (C-N). TLC: R\u003cem\u003ef\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.79 (benzene:methanol) (9:1), 1H-NMR spectrum (δ, ppm) : 2.09 (s, 3H methyl group.), 7.49\u0026ndash;7.74 (m, 8H arom.), 8.33 (s, 1H azomethene).\u003c/p\u003e \u003cp\u003e \u003cb\u003eCharacterization of 1-(4-nitrophenyl)-N-(p-tolyl)methanimine [A4].\u003c/b\u003e \u003c/p\u003e \u003cp\u003eYellow solid, yield 79%; mp 136\u0026ndash;138\u0026deg;C. IR (ν cm-1): 3078 (C-H aromatic), 1625 (C\u0026thinsp;=\u0026thinsp;N), 1596, 1514 (C\u0026thinsp;=\u0026thinsp;C aromatic), 1005 (C-N). TLC: R\u003cem\u003ef\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.73 (benzene:methanol) (9:1). 1H-NMR spectrum (δ, ppm) : 2.10 (s, 3H methyl group.), 8.22\u0026ndash;8.41 (m, 8H arom.), 8.92 (s, 1H azomethene).\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eCOMPUTATIONAL DETAILS\u003c/h2\u003e \u003cp\u003eAll the calculations were carried out using the ORCA software package (version 4.2.1)[\u003cspan additionalcitationids=\"CR18\" citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] and Kohn\u0026thinsp;\u0026minus;\u0026thinsp;Sham DFT. We employed the Geometry optimizations and vibrational frequency calculations were performed using the def2-SVP basis set [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e] on all atoms.\u003c/p\u003e \u003c/div\u003e"},{"header":"RESULT AND DISCUSSION","content":"\u003cp\u003eThe FT-IR spectral analysis of the imine compounds is discussed below. Generally, imines indicate a strong C\u0026thinsp;=\u0026thinsp;N stretching vibration in the region 1619-1625cm \u0026minus;\u0026thinsp;1. The existence of C\u0026thinsp;=\u0026thinsp;N stretching band supports the skeleton of the imine compounds. The aromatic C-H stretching band arises in the broad region 2319-3052cm \u0026minus;\u0026thinsp;1. The observed imine, aliphatic and aromatic C-H stretching frequencies were confirmed the compounds. IR spectral values of compounds are displayed in Table \u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eFTIR spectral data (cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) for synthesized A1-A4 compound\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eComp.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eυ C-H arom\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eυ C\u0026thinsp;=\u0026thinsp;N st.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eυ C\u0026thinsp;=\u0026thinsp;C st.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eυ C-N st.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003cp\u003e1 -cm\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eA1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3099\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1624\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1597\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1487\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1008\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1371 C-NO2 sy.\u003c/p\u003e \u003cp\u003e1340 C-NO2 asy.\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eA2\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3018\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1619\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1567\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1477\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1090\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2962 C-H alip.\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eA3\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e3077\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e1621\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e1595\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e1504\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e1022\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e2971 C-H alip.\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eA4\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e3078\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e1625\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e1596\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e1514\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e1005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e1376 C-NO2 sy.\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e1339 C-NO2 asy.\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e1H-NMR spectra have been recorded in DMSOd6 solvent. The signals were obtained in the 1H-NMR spectra were consigned and established accordingly to their position, multiplicities and integral values. In general, the aromatic proton signals emerged in the higher frequency region at 7.00-8.50 ppm due to the magnetic anisotropic effect. In the 1H-NMR spectrum of Imine compounds derivatives, the signals appeared in the region 7.06-8.41ppm resemble to eight protons integral due to aromatic protons. A single signal speak detected at 8.33\u0026ndash;8.92 ppm is assigned to one proton (azomethene). .1H-NMR spectral values of compound A is displayed in Fig.\u0026nbsp;1 .\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\n\u003ch3\u003eComputational Study\u003c/h3\u003e\n\u003cp\u003eMolecular properties related to synthesized A1-A4 compounds, such as dipole moment, HOMO, LUMO, HOMO-LUMO gap, and some electronic properties were performed by using density functional theory (DFT), (B3LYP) as a functional and the def 2-SVP as a basis set using the ORCA software package.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eComputational Result and Dissection\u003c/h2\u003e \u003cp\u003eMolecules with wide HOMO-LUMO gaps are generally stable and unreactive, whereas molecules with tiny gaps are reactive. The higher the HOMO energies, the easier it is for HOMO to donate electrons, and the lower the LUMO energies, the easier it is for LUMO to accept electrons. Computational study showed a little effect of synthesized A1-A4 by substitution of halogen except for A increasing the LUMO energy level and the molecule becomes more stable compared to other compounds. HOMO and LUMO orbitals and their energy gap for A1-A4 compounds. The electronic properties such as electron affinity A, Ionization potential I, absolute electronegativity \u0026micro;, absolute hardness η,, and electrophilicity ω were calculated by the following equations, results are given in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cspan class=\"InlineEquation\"\u003e \u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{A}=-\\left({\\varvec{E}}_{\\varvec{L}\\varvec{U}\\varvec{M}\\varvec{O}\\:}\\right)\\)\u003c/span\u003e \u003c/span\u003e \u003cspan class=\"InlineEquation\"\u003e \u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{I}=-\\left({\\varvec{E}}_{\\varvec{H}\\varvec{O}\\varvec{M}\\varvec{O}\\:}\\right)\\)\u003c/span\u003e \u003c/span\u003e \u003cspan class=\"InlineEquation\"\u003e \u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{\\omega\\:}=\\frac{{\\varvec{\\mu\\:}}^{2}}{2\\varvec{\\eta\\:}}\\)\u003c/span\u003e \u003c/span\u003e \u003c/p\u003e \u003cp\u003e \u003cspan class=\"InlineEquation\"\u003e \u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{\\mu\\:}=\\frac{{\\varvec{E}}_{\\varvec{L}\\varvec{U}\\varvec{M}\\varvec{O}}+{\\varvec{E}}_{\\varvec{H}\\varvec{O}\\varvec{M}\\varvec{O}}}{2}\\)\u003c/span\u003e \u003c/span\u003e \u003cspan class=\"InlineEquation\"\u003e \u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{\\eta\\:}=\\frac{{\\varvec{E}}_{\\varvec{L}\\varvec{U}\\varvec{M}\\varvec{O}}-{\\varvec{E}}_{\\varvec{H}\\varvec{O}\\varvec{M}\\varvec{O}}}{2}\\)\u003c/span\u003e \u003c/span\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHOMO, LUMO, and Some electronic properties for synthesized for A1-A4 compounds\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"10\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003ecode\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"9\" nameend=\"c10\" namest=\"c2\"\u003e \u003cp\u003eProperty (a.u)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eE\u003c/b\u003e\u003csub\u003e\u003cb\u003eHOMO\u003c/b\u003e\u003c/sub\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eE\u003c/b\u003e\u003csub\u003e\u003cb\u003eLUMO\u003c/b\u003e\u003c/sub\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eE\u003c/b\u003e\u003csub\u003e\u003cb\u003eHOMO\u003c/b\u003e\u003c/sub\u003e\u003cb\u003e-E\u003c/b\u003e\u003csub\u003e\u003cb\u003eLUMO\u003c/b\u003e\u003c/sub\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003eE\u003c/b\u003e\u003csub\u003e\u003cb\u003eLumo\u003c/b\u003e\u003c/sub\u003e\u003cb\u003e-E\u003c/b\u003e\u003csub\u003e\u003cb\u003eHOMO\u003c/b\u003e\u003c/sub\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003eI\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003eA\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{\\mu\\:}\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003eη\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003eω\u003c/b\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eA1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e-6.447\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e-2.943\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e-3.504\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e3.504\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e6.447\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e2.943\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003e4.695\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003e1.752\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003e2.6888\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eA2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e-5.766\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e-1.651\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e-4.115\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e4.115\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e5.766\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e1.651\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003e3.708\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003e2.0575\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003e4.3550\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eA3\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e-5.587\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e-1.441\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e-4.146\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e4.146\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e5.587\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e1.441\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003e3.514\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003e2.073\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003e4.4541\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eA4\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003e-6.279\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e-2.796\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e-3.483\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e3.483\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003e6.279\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cb\u003e2.796\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cb\u003e4.537\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cb\u003e1.7415\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e\u003cb\u003e2.6408\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"10\" nameend=\"c10\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eA\u0026thinsp;=\u0026thinsp;Electrone affinity, I\u0026thinsp;=\u0026thinsp;Ionization potential, \u0026micro;\u0026thinsp;=\u0026thinsp;Mu\u0026thinsp;=\u0026thinsp;Electronegativity, η\u0026thinsp;=\u0026thinsp;Eta\u0026thinsp;=\u0026thinsp;Hardness, ω\u0026thinsp;=\u0026thinsp;Omega\u0026thinsp;=\u0026thinsp;Electrophilicity\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe highest occupied molecular orbitals (HOMO) and lowest unoccupied molecular orbitals (LUMO) are the types of frontier molecular orbitals. The HOMO has capacity to donate an electron whereas LUMO represents the ability to accept electron. These orbitals are important to decide the stability of the chemical compound. The HOMO and LUMO energy values was calculated through DFT method using B3LYP/ def2-SVP level of theory are shown table (2). The transfer of electron from ground state to the excited state is labelled by one electron from highest occupied molecular orbitals to the lowest unoccupied molecular orbitals. The displayed diagram of HOMO-LUMO energy value is shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The energy gap between HOMO and LUMO gives the detail interaction between the molecules and chemical stability [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe HOMO electronic density distribution for Schiff bases are plotted in Fig.\u0026nbsp;3.\u003c/p\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eAtomic Charges\u003c/h2\u003e \u003cp\u003eAtomic charges affect the dipole moment, polarizability, electronic structure and the properties of molecular systems. Mulliken atomic charge plays a significant role in the application of quantum chemical calculation to molecular system. Accordingly, the Mulliken atomic charge calculations used in this paper. The compounds A1-A4 are calculated Mulliken atomic charge are recorded in Table\u0026nbsp;3. Thus, from the distribution charge calculation, we can see many of the heteroatoms displayed major electron density. from the given table data Table\u0026nbsp;3. The A2 compound illustrated that the high positive charges in a molecule are C21\u0026thinsp;=\u0026thinsp;0.230530 and C25\u0026thinsp;=\u0026thinsp;0.173221 The positive regions are associated to nucleophilic reactivity. [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e].\u003c/p\u003e \n\u003cp\u003e\u003cimg 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\" width=\"498\" height=\"483\"\u003e\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eIn this paper, the synthesize new Spiro derivatives were successfully synthesized, and this has been proved by spectral analyses. The study of energies of the HOMO and LUMO orbitals negative indicates that compounds A1-A4 are stable compounds, Hardness results indicate that compound A2 has more aromatic character compared to other compounds.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eAsya A. Tawfiq has made the computational study by Density Functional Theory (DFT) for the electronic structures Omar J. Mahdi has prepared the acid-catalyzed condensation of p-chloro aniline and p-amino toluene and aromatic aldehyde derivatives to produce a number of Schiff bases. Ahmed H. Hattab has collected the data and analysed it.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAli S T F, Ghanim H T (2016) Synthesis and characterization of heterocyclic compounds from amine derivative. 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Software Update: The ORCA Program System,Version 4.0. Wiley Interdiscip. Rev.: Comput. Mol. Sci. 2018, 8, No. e1327.\u003c/li\u003e\n\u003cli\u003eWeigend, F. Accurate Coulomb-Fitting Basis Sets for H to Rn. Phys. Chem. Chem. Phys. 2006, 8, 1057\u0026minus;1065.\u003c/li\u003e\n\u003cli\u003eShearer, G. C.; Chavan, S.; Bordiga, S.; Svelle, S.; Olsbye, U.; Lillerud, K. P. Defect Engineering: Tuning the Porosity and Composition of the Metal-Organic Framework UiO-66 via Modulated Synthesis. Chem. Mater. 2016, 28, 3749\u0026minus;3761.\u003c/li\u003e\n\u003cli\u003eMulliken R. \u003cem\u003eJ Chem Phys \u003c/em\u003e1962; 36, 3428.\u003c/li\u003e\n\u003cli\u003eRigby J and Izgorodina EI. \u003cem\u003ePhys Chem Chem Phys \u003c/em\u003e2013; 15,1632\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Schemes","content":"\u003cp\u003eScheme 1 is available in the Supplementary Files section\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"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":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Imines, Schiff bases, DFT, ORCA","lastPublishedDoi":"10.21203/rs.3.rs-6157405/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6157405/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eImines are a crucial building block in the synthesis of many organic compounds. The acid-catalyzed condensation of p-chloro aniline and p-amino toluene, and aromatic aldehyde derivatives produced a number of Schiff bases. The products were recrystallized and identified by their FT-IR, 1HNMR and mass spectra. A computational study by Density Functional Theory (DFT) for the electronic structures was intended to study the effects of para substituted of benzaldehyde on the electronic structure of synthesized Schiff bases by using the ORCA software package.\u003c/p\u003e","manuscriptTitle":"Experimental and Computational study of Some Schiff Bases","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-03-10 11:42:57","doi":"10.21203/rs.3.rs-6157405/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9bd89a87-ed97-41d4-a416-537b01c501e5","owner":[],"postedDate":"March 10th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-03-22T13:23:33+00:00","versionOfRecord":[],"versionCreatedAt":"2025-03-10 11:42:57","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6157405","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6157405","identity":"rs-6157405","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}