Ruthenium-Arene Complexes with Bis(pyrazol-1-yl)methane Ligands: Structural, DFT Analysis, and Cytotoxicity Studies

Ruthenium-Arene Complexes with Bis(pyrazol-1-yl)methane Ligands: Structural, DFT Analysis, and Cytotoxicity Studies | 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 Ruthenium-Arene Complexes with Bis(pyrazol-1-yl)methane Ligands: Structural, DFT Analysis, and Cytotoxicity Studies Amos K Kanyora, Athi Welsh, Peter Ongoma, Josiah O Omolo, Joel Gichumbi, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8388864/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 15 You are reading this latest preprint version Abstract A series of four η⁶-arene ruthenium(II) half-sandwich complexes ( RuL1-RuL4 ) with bis(pyrazol-1-yl)methane ligands (dpzm, bdmpzm) were synthesized and characterized by FTIR, NMR, ESI-MS, elemental analysis, and single-crystal X-ray diffraction. The structures confirmed robust piano-stool geometries, with subtle effects of arene identity ( p -cymene vs. toluene) and pyrazole methylation on Ru–N bond distances and chelate angles. DFT calculations (B3LYP/6-31G**//LanL2DZ) reproduced crystallographic metrics within ≤ 2.7% and revealed consistently large HOMO–LUMO gaps (3.97–4.07 eV), indicating high electronic hardness. Methylated complexes showed slightly reduced gaps, yet all remained electronically inert. Cytotoxicity assays across nine cancer cell lines (breast, cervical, pancreatic, rhabdomyosarcoma) at concentrations of 20 µM revealed weak antiproliferative activity (cell viability ≥ 100%), in sharp contrast to related Ru(II) scaffolds. The poor activity correlates with wide band gaps, electronic inertness, and steric shielding that limit ligand exchange and charge-transfer processes. These results underscore the importance of ligand design in tuning biological activity: incorporating π-acceptor or labile functionalities could reduce ΔE, enhance MLCT pathways, and unlock the anticancer potential of this scaffold. crystal structures Density Functional Theory (DFT) arene-ruthenium(II) complexes bis(pyrazol-1-yl)methane cytotoxicity Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Introduction The search for alternative metal-based anticancer agents has increasingly turned to ruthenium complexes due to their diverse oxidation states, versatile coordination chemistry, and distinct mechanisms of action compared with platinum drugs [ 1 – 6 ]. Unlike Pt(II)-based agents, which primarily target DNA, ruthenium complexes exhibit non-conventional pathways of antiproliferative activity, providing unique opportunities in rational drug design [ 7 – 10 ]. Several candidates have progressed to preclinical and clinical evaluation, underscoring their therapeutic promise [ 5 , 11 – 13 ]. Clinically relevant examples include the Ru(III) complexes KP1019, KP1339, and NAMI-A, belonging to the RAPTA (Ru–arene–phosphine) family. These compounds demonstrated encouraging anticancer and antimetastatic activity with reduced systemic toxicity compared to platinum analogues [ 13 – 16 ]. Their activity has been attributed in part to the biological resemblance of Ru(III) to Fe(III), which enables interaction with transferrin and albumin, facilitating selective delivery [ 17 ]. In vivo , these species are believed to function as prodrugs, undergoing thiol-mediated reduction to active Ru(II) forms [ 18 – 22 ]. Despite promising preclinical profiles, challenges such as poor solubility and low therapeutic index hindered their progression beyond Phase I trials [ 20 ]. To overcome these limitations, attention has shifted to η⁶-arene Ru(II) complexes, which display enhanced stability and lipophilicity and allow fine-tuning of steric and electronic properties through ligand design [ 23 – 25 ]. Their biological activity has been linked not only to DNA interactions but also to protein binding and enzyme modulation [ 26 – 32 ]. Numerous half-sandwich Ru(II) complexes bearing N,Nʹ-donor ligands have shown significant cytotoxicity and activity against cisplatin-resistant cell lines [ 33 – 38 ]. For instance, hydrazinyl-thiazolo Ru(II) complexes modulated p53 signaling to induce apoptosis in ovarian cancer cells, while arene–thiosemicarbazone complexes exhibited potent activity against both primary and metastatic ovarian models [ 25 , 39 ]. These studies highlight the critical role of ligand architecture in dictating stability, reactivity, and biological outcome. Bis(pyrazol-1-yl)methane (dpzm) ligands are particularly attractive scaffolds owing to their tunable donor properties and established pharmacological activities, including antioxidant, anti-inflammatory, antimicrobial, and anticancer effects [ 40 – 46 ]. Substituent variation on the pyrazole rings or methylene bridge allows precise modulation of steric and electronic factors, offering opportunities for tailoring ruthenium complexes with improved pharmacological potential. Recent reports suggest that Ru(II)–dpzm complexes can induce apoptosis-mediated cell death, but their structural features and reactivity remain underexplored [ 32 ]. In this study, we synthesized and characterized a series of half-sandwich η⁶-arene Ru(II) complexes containing dpzm and bdpzm ligands with either toluene or p -cymene as spectator arenes and are provided in Scheme 1 . Their molecular structures were determined by single-crystal X-ray diffraction, and their electronic properties were examined through Density Functional Theory (DFT) calculations. Cytotoxic activity was evaluated against a panel of cancer cell lines, including cervical (CaSki, HeLa), breast (MCF-7, T-47D, MDA-MB-231), pancreatic (CFPAC-1, PANC-1), and rhabdomyosarcoma (RH-30, RD). By systematically combining experimental and computational approaches, this work provides new insights into how dpzm-derived ligands influence the geometry, electronic stability, and cytotoxic profile of η⁶-arene Ru(II) complexes. Experimental Section Synthetic Procedure for Complexes Bis(pyrazol-1-yl)methane ligands were synthesised as previously described [ 47 ]. The arene complexes RuL1 - RuL4 , with the general formula [Ru(N^N’)(η⁶-arene)Cl]BF₄, where N^N’ = bis(pyrazol-1-yl)methane (dpzm) or bis(3,5-dimethylpyrazol-1-yl)methane (bdmpzm), and η⁶-arene = p -cymene (cym) or toluene (tol), were prepared according to the literature procedures (Scheme 2 ) [ 48 ]. A solution of 1 mmol (612 mg for cymene dimer; 528 mg for toluene dimer) of the dinuclear precursor [(η⁶-arene)RuCl(µ-Cl)]₂ was mixed with 2.2 mmol of the bidentate ligand in dry acetonitrile (~ 10 mL) under a nitrogen atmosphere at 25°C for 4 hours. The reaction mixture was concentrated under reduced pressure, and a cold ethanolic solution (5 mL) of NH₄BF₄ (2.5 mmol) was slowly added to precipitate the complexes. After cooling in an ice bath for 1 hour, the resulting orange/yellow crystalline products were filtered, washed with cold diethyl ether, and dried under vacuum. Single crystals suitable for X-ray diffraction were obtained by slow vapour diffusion (1–2 weeks) of diethyl ether into methanol solutions of the complexes. Yields were typically between 40 and 84.1%. Characterization of Complexes 1 H and 13 C NMR spectra were recorded on a Bruker Avance DPX 500 MHZ spectrometer equipped with a 5 mm sample probe at 30°C (Bruker BioSpin GmbH, Rheinstetten, Germany) operating at frequencies of 500 MHz for 1 H and 100 MHz for 13 C, respectively. All chemical shifts (δ) for protons or carbons are reported in parts per million (ppm) relative to tetramethylsilane (SiMe 4 ). Peak multiplicities are abbreviated: singlet (s), doublet (d), triplet (t), quartet (q), and multiplet (m). Mass spectral data for the ligands and complexes were obtained using an LC Premier micro-mass spectrometer. FT-IR spectra of complexes were recorded in the 3800–600 cm − 1 range on an Agilent Technologies Cary 630 spectrometer (Vienna, Austria). Elemental analyses (C, H, and N) for complexes RuL1-RuL4 were performed using a Thermo Scientific Flash 2000 Spectrometer. The full characterization data are given in the Supporting Information (SI1–15). Single-crystal X-ray diffraction data of RuL1-RuL4 were collected using a Bruker APEX Duo CCD area detector diffractometer [ 49 ] fitted with an Incoatec micro source operating at 30 W. The crystals were maintained at a constant temperature within the range of 100–104 K during data collection using an Oxford Instruments Cryojet accessory (Oxford, UK). Diffraction was performed using graphite-monochromated Cu K α radiation (λ = 1.54178 Å), with a crystal-to-detector distance of 50 mm. Data were collected using ω-/φ-scans, 30 W X-ray power and 0.50 o frame widths, and a 2θ range in the range 6.98–142.948° using SAINTS’ APEX2 [ 50 ]. Crystal structures were solved using the OLEX2 program [ 51 ], with the SHELXT structure solution program [ 52 ] employing Intrinsic Phasing, and refined using SHELXL. All non-hydrogen atoms were refined anisotropically via full-matrix least-squares minimisation/refinement on F 2 . Hydrogen atoms were included in the model but not refined. Crystallographic visualization was performed in Mercury v.4.3 (Cambridge Crystallographic Data Centre, Cambridge, UK). A summary of the data collection and refinement parameters is provided in Tables 1and 2. Intramolecular contacts for complex RuL4 are listed in Table S1 . Computational Analysis To gain deeper insights into the structural and electronic properties of the η⁶-arene ruthenium(II) complexes, computational modeling was carried out. The ground-state geometries of complexes RuL1-RuL4 were optimized using Density Functional Theory (DFT) as implemented in the Gaussian 09 software suite [ 53 ]. The B3LYP (Becke, 3-parameter, with Lee-Yang-Parr) method [ 54 , 55 ], in combination with the LANL2DZ basis sets, was employed to optimize the geometries of the complexes. All calculations were carried out in methanol, using the conductor-like polarizable continuum model (C-PCM) to simulate solvation effects [ 56 , 57 ]. The calculations assumed a singlet spin ground state and a total charge of + 2. The optimized geometries are summarised in Table 3 , while key computed parameters—including HOMO and LUMO energies, NBO atomic charges, selected bond lengths and other relevant electronic descriptors—are provided in Tables 4 and 5 . Cell Culture and Cytotoxicity Assay The breast cancer cell lines, MCF-7 (estrogen-receptor positive), T-47D, and MDA-MB-231 (triple-negative); as well as cervical cancer subtypes (Caski and HeLa), pancreatic cancer subtypes (CFPAC-1 and PANC-1), and rhabdomyosarcoma cancer subtypes (RH-30 and RD) were cultured in the Roswell Park Memorial Institute (RPMI) 1640 medium (Sigma Aldrich, USA) and Dulbecco’s Modified Eagle Medium (DMEM) (Sigma Aldrich, USA), respectively. All media were supplemented with 10% heat-inactivated foetal bovine serum (FBS), 100 µg/mL streptomycin, and 100 µg/mL penicillin. To maintain physiological pH and temperature, the cells were incubated in a 5% CO 2 atmosphere at 37°C. Additionally, the culture media were replaced with fresh media every 48 to 72 hours. The cytotoxic effects of the η⁶-arene Ru(II) complexes ( RuL2 – RuL1 ) were assessed in vitro against nine cancer cell line subtypes. Cells were seeded in 96-well plates at the following densities per well: MCF-7, T-47D, Caski, and HeLa (4,500 cells); MDA-MB-231 (3,000 cells); CFPAC (10,000 cells); PANC-1 (8,000 cells); and RD and RH30 (6,500 cells each). The cells were allowed to adhere under standard physiological conditions using either RPMI or DMEM growth media for 24 hours (Caski, HeLa, RD, RH30, CFPAC, and PANC-1) or 48 hours (MCF-7, MDA-MB-231, and T-47D), depending on the cell line. Once the cells reached approximately 50–60% confluence, they were treated for 48 hours with either 0.1% DMSO (vehicle control) or 20 µM of each test complex ( RuL1– RuL4 ) prepared in 0.1% DMSO. Cell viability and proliferation were evaluated using the MTT assay, following the method developed by Mosmann [ 58 ]. This colorimetric assay is based on the NAD(P)H-dependent reduction of MTT by cellular oxidoreductase enzymes, producing purple formazan crystals in metabolically active cells [ 59 ]. Following incubation with the MTT reagent, the absorbance of the resulting formazan was measured at 600 nm using a pre-calibrated GloMax® Explorer Multimode Microplate Reader GM3500 (Promega). Absorbance values were corrected by subtracting the blank readings obtained from the corresponding media (RPMI and DMEM) used for each cell line [ 60 ]. Each compound was tested in quadruplicate wells, and the entire experiment was conducted in triplicate to ensure reproducibility. The mean percentage cell viability for each treatment group was normalized to the vehicle control, which was set as 100% viability. Results and Discussion The η⁶-arene ruthenium(II) complexes were characterized using FTIR, NMR (¹H and ¹³C), ESI-MS, elemental analysis, and single-crystal X-ray diffraction. These complementary techniques confirmed the molecular structures, coordination environments, and solution stability of the complexes. The ¹H and ¹³C NMR spectra (Figures S1 –S8 and Table S1 ) showed all expected resonances for the coordinated η⁶-arene ( p -cymene or toluene) and the N,N′-chelating bis(pyrazol-1-yl)methane ligands, consistent with a single species in solution. A diagnostic feature was the methylene bridge (–CH₂–) of the bis(pyrazolyl)methane ligands, which exhibited clear diastereotopism. In the dpzm- and bdmpzm-based complexes ( RuL2 and RuL1 ), the methylene protons appeared as AB spin systems at δ 6.25–7.08 ppm, while in RuL3 and RuL4 (substituted bdmpzm) they appeared as AX systems at δ 5.84–6.34 ppm, confirming restricted rotation and a rigid chelating environment around Ru(II). Similar methylene diastereotopy has been observed in η⁶-arene Ru(II) complexes containing bis(pyrazol-1-yl)methane ligands, where chelation locks the CH₂ bridge in a rigid geometry [ 42 , 61 ]. The aromatic region also provided useful structural information. Complexes RuL1 and RuL2 exhibited three distinct pyrazolyl resonances between δ 6.63–8.22 ppm, while RuL3 and RuL4 displayed a single, well-resolved set at δ 6.26–7.00 ppm. The bdmpzm methyl substituents appeared as sharp singlets at δ 2.48 ppm in RuL3 and RuL4 , in agreement with their symmetric environment. The η⁶-arene protons were observed as multiplets in the δ 5.91–6.18 ppm range for the toluene derivatives and δ 6.00–6.18 ppm for the cymene analogues, both appearing as typical AA′BB′ spin systems of centrosymmetric arene–ruthenium complexes [ 62 , 63 ]. Comparable arene resonance patterns have been reported in other half-sandwich Ru(II) systems bearing pyrazolyl or imidazolyl ligands, confirming that such features are diagnostic of the piano-stool geometry [ 64 ]. The 13 C NMR spectra corroborated these findings, with methylene and arene carbons signals aligning with values reported for related Ru(II) η⁶-arene complexes [ 65 ]. These trends indicate that substitution on the bis(pyrazolyl) backbone (dpzm → bdmpzm) induces only minor electronic perturbations at the Ru center, similar to those observed in other Ru(II) arene–heteroscorpionate systems [ 66 ]. The FTIR spectra (Figures S9–S11) exhibited characteristic absorptions consistent with coordination of the bis(pyrazol-1-yl)methane ligands. Two ν(C–H) stretching bands were observed at ~ 3133 and 2950 cm⁻¹, attributable to aromatic and aliphatic moieties, respectively. A band in the 1516–1559 cm⁻¹ region was assigned to the ν(C = N) stretch of the coordinated pyrazolyl groups, while absorptions between 1200–1422 cm⁻¹ corresponded to ν(C = C) vibrations within the heteroaromatic rings [ 47 ]. In addition, a sharp absorption band near 1030 cm⁻¹ ( RuL1 and RuL3 ) and ~ 1050 cm⁻¹ ( RuL2 and RuL4 ) was attributed to the vibronic ν(B–F) stretch of the tetrafluoroborate (BF₄⁻) counterion, confirming its retention in the isolated complexes. The absence of extraneous bands in the carbonyl region supported the purity of the compounds, while the diagnostic ν(C = N) shifts relative to the free ligands indicated successful coordination through the pyrazolyl donors. These ν(C = N) shifts are comparable to those reported for other Ru(II)–pyrazolyl complexes, reflecting similar electron withdrawal upon metal coordination [ 42 , 64 ]. ESI-MS provided further confirmation of the proposed molecular formulas. The spectra revealed distinct molecular ion peaks with isotopic distributions characteristic of ruthenium (Figures S12–S15). The most intense signals corresponded to the [M + H]⁺ species for each complex: m/z 377 ( RuL1 ), 419 ( RuL2 ), 433 ( RuL3 ), and 475 ( RuL4 ), all in excellent agreement with calculated values. The observed isotopic envelopes closely matched theoretical Ru isotope patterns, reinforcing the elemental analysis results. Minimal fragmentation under ionization, as observed here, has also been reported for similar Ru(II) arene–pyrazolyl species, highlighting the stability of the Ru–N coordination [ 64 ]. Overall, the combined spectroscopic and analytical results confirm the successful formation of η⁶-arene Ru(II) half-sandwich complexes with bis(pyrazol-1-yl)methane ligands. The observed NMR, FTIR, and MS profiles show strong parallels with those reported for structurally related η⁶-arene Ru(II) scaffolds [ 64 , 66 , 67 ] suggesting that the dpzm/bdmpzm substitution primarily tunes steric and electronic effects without altering the core piano-stool geometry. Such ligand-dependent modulation has been correlated with subtle changes in redox and biological behavior in comparable complexes, as noted in recent reports. Single-crystal X-ray diffraction confirmed the molecular structures of RuL1 – RuL4 (Figs. 1 – 4 ), and crystallographic parameters are summarized in Tables 1 and 2 . In all cases, the Ru(II) center adopts the expected distorted octahedral “piano-stool” geometry, comprising an η⁶-arene, a bidentate bis(pyrazol-1-yl)methane ligand, and a terminal chloride donor. Table 1 Crystallographic data and structure refinement parameters for the complexes. RuL1 RuL2 RuL3 RuL4 Empirical formula C 14 H 16 BClF 4 N 4 Ru C 34 H 44 B 2 Cl 2 F 8 N 8 Ru 2 C 36 H 48 B 2 Cl 2 F 8 N 8 Ru 2 C 21 H 30 BClF 4 N 4 Ru Color Yellow Orange Orange Orange Formula weight 463.64 1011.43 1039.48 561.82 Temperature/K 103.17 99.95 100.01 102.36 Crystal system monoclinic triclinic triclinic monoclinic Space group P2 1 /c P-1 P-1 P2 1 /n a/Å 7.0627(2) 9.9969(2) 13.0289(2) 9.7370(3) b/Å 19.5075(5) 13.8338(3) 13.8249(2) 24.5694(7) c/Å 12.0646(3) 14.2960(3) 14.0532(2) 9.9199(3) α/° 90 87.5770(10) 109.4400(10) 90 β/° 96.6580(10) 89.5590(10) 115.09 99.0130(10) γ/° 90 85.0700(10) 100.26 90 Volume/Å 3 1651.00(8) 1967.98(7) 2004.98(5) 2343.86(12) Z 4 2 2 4 ρ calc g/cm 3 1.865 1.707 1.722 1.592 µ/mm − 1 9.627 8.132 8 6.89 F(000) 920 1016 1048 1144 Crystal size/mm 3 0.215 × 0.075 × 0.04 0.23 × 0.17 × 0.125 0.335 × 0.205 × 0.205 0.125 × 0.105 × 0.06 Radiation (CuKα (λ)) 1.54178 1.54178 1.5417 1.54178 2Θ range for data collection/° 8.66 to 136.284 6.188 to 134.354 7.31 to 143.952 7.196 to 136.53 Index ranges -7 ≤ h ≤ 7, -23 ≤ k ≤ 23, -14 ≤ l ≤ 14 -11 ≤ h ≤ 11, -16 ≤ k ≤ 16, -17 ≤ l ≤ 17 -15 ≤ h ≤ 15, -16 ≤ k ≤ 16, -16 ≤ l ≤ 15 -9 ≤ h ≤ 11, -29 ≤ k ≤ 29, -11 ≤ l ≤ 11 Reflections collected 23923 56434 49369 32378 Independent reflections 2934 [R int = 0.0253, R sigma = 0.0142] 6893 [R int = 0.0271, R sigma = 0.0141] 7309 [R int = 0.0260, R sigma = 0.0151] 4179 [R int = 0.0302, R sigma = 0.0165] Data/restraints/parameters 2934/0/247 6893/0/511 7309/0/553 4179/0/296 Goodness-of-fit on F 2 1.061 1.162 1.133 1.042 Final R indexes [I ≥ 2σ (I)] R 1 = 0.0161, wR 2 = 0.0411 R 1 = 0.0199, wR 2 = 0.0491 R 1 = 0.0238, wR 2 = 0.0593 R 1 = 0.0182, wR 2 = 0.0448 Final R indexes [all data] R 1 = 0.0166, wR 2 = 0.0415 R 1 = 0.0202, wR 2 = 0.0494 R 1 = 0.0240, wR 2 = 0.0595 R 1 = 0.0190, wR 2 = 0.0452 Largest diff. peak/hole / e Å −3 0.31/-0.32 0.26/-0.61 0.48/-0.96 0.29/-0.38 Table 2 Comparative bond lengths and angles of half-sandwich η⁶-arene Ru(II) complexes Complex Ru–N (Å) Ru–Cl (Å) N–Ru–N / bite angle (°) N–Ru–Cl (°) RuL1 (toluene, non-Me) 2.088–2.099 2.4089 85.72 85.10 Slightly shorter Ru–N; toluene less steric RuL2 (cymene, non-Me) 2.097–2.104 2.4016 84.40 86.90 Shorter Ru–N; less distortion RuL3 (toluene, Me) 2.119–2.127 2.3904–2.4066 85.98–86.87 84.88 Methylation lengthens Ru–N, minor angular shifts RuL4 (cymene, Me) 2.112–2.127 2.4013 87.68 84.56 Methylation elongates Ru–N, widens bite angle Comparative structural analysis reveals subtle but systematic effects of arene identity and methyl substitution on the Ru–N coordination environment. In both the toluene and p -cymene series, methyl substitution on the ligand leads to slightly longer Ru–N bonds (2.112–2.127 Å in RuL3 – RuL4 ) relative to their non-methylated analogues (2.088–2.104 Å in RuL1 – RuL2 ), accompanied by small increases in the N–Ru–N bite angle. These values are consistent with those typically reported for η⁶-arene Ru(II) half-sandwich complexes ( Ru–N = 2.08–2.13 Å, Ru–Cl = 2.38–2.41 Å [ 13 , 68 ]. Similar ligand-induced variations in bond lengths and bite angles have been noted in related Ru(II)–bis(pyrazolyl) and heteroscorpionate systems, where steric and electronic effects subtly tune metal–ligand interactions [ 61 , 64 ]. The Ru–Cl distances (2.39–2.41 Å) remain effectively constant across the series, indicating that arene and ligand substitution primarily modulate the chelate domain rather than the monodentate site. This observation aligns with prior crystallographic studies showing that Ru–Cl bond rigidity contributes to kinetic stability in half-sandwich complexes [ 66 ]. Crystal packing is reinforced by weak C–H···Cl and C–H···π contacts (2.7–2.9 Å), comparable to those found in other η⁶-arene Ru(II) salts [ 65 , 69 ]. Such interactions enhance lattice stability without perturbing the primary coordination geometry (Figure S16 and Table S2). Overall, these results confirm that both arene identity and methyl substitution induce predictable but modest geometric adjustments, consistent with structure–property correlations observed in similar Ru(II) arene systems and likely relevant to the complexes’ electronic and biological behavior. Density Functional Theory (DFT) Calculations Density Functional Theory (DFT) calculations were undertaken to complement and rationalize the experimental findings. The geometry-optimized structures of RuL1 – RuL4 at the B3LYP/LANL2DZ level reproduced the crystallographic parameters closely, with Ru–N and Ru–Cl bond length deviations below 0.03 Å and bite angle differences within 1°. This strong agreement confirms that both arene type and methyl substitution exert only subtle, predictable influences on the coordination geometry (Table 3 ). Methyl substitution led to slightly longer Ru–N bonds and smaller HOMO–LUMO gaps (3.12–3.36 eV), suggesting increased electron donation from the ligand and enhanced metal–ligand back-donation (Table 4 ). These trends parallel experimental observations and align with previous reports on η⁶-arene Ru(II) and pyrazolyl complexes, where small electronic perturbations fine-tune reactivity and redox potential without compromising structural integrity [ 61 , 64 ]. Frontier molecular orbital (FMO) analysis revealed that the HOMO is primarily localized on the Ru–arene fragment, while the LUMO is mainly ligand-centered, indicating mixed metal-to-ligand charge transfer (MLCT) character. This orbital distribution is typical of half-sandwich Ru(II) complexes [ 68 , 69 ] and mirrors findings in other bioactive N,N′-chelating Ru(II) scaffolds [ 66 , 67 ]. Such MLCT features are significant for DNA or protein binding, where charge delocalization facilitates π–π stacking and electron-transfer processes. Overall, the DFT results corroborate the crystallographic and spectroscopic data, confirming that ligand and arene substitutions subtly modulate the electronic distribution without altering the core piano-stool structure. This delicate balance of geometric stability and electronic tenability also observed in analogous Ru(II) arene systems—provides valuable insights into their potential chemical reactivity and biological performance. Table 3: Overlays of the geometry-optimized structures on their crystal structures, and HOMO and LUMO electron density mappings for RuL1 - RuL4 . Table 4 Summary of DFT calculated data for the optimized complexes. Parameter RuL1 RuL2 RuL3 RuL4 HOMO-LUMO energy/eV - (LUMO), eV 2.420 2.330 2.403 2.338 -(HOMO), eV 6.468 6.398 6.374 6.330 Band gap, ΔE, eV 4.048 4.068 3.971 3.992 Global electrochemical parameters Chemical hardness ( η ) 2.024 2.034 1.986 1.996 Chemical potential ( µ ) −4.444 −4.364 −4.389 -4.334 Chemical softness ( σ ) 0.494 0.492 0.504 0.501 Electronegativity ( χ ) 4.444 4.364 4.389 4.334 Electrophilicity index ( ω ) 4.879 4.681 4.850 4.705 Nucleophilicity (ε) 0.205 0.214 0.206 0.213 Dipole moments 7.0519 7.8202 6.8039 6.6336 (NBO) charge Ru −0.046 -0.032 −0.035 -0.019 Cl −0.289 −0.299 −0.303 -0.312 N1 −0.235 −0.237 −0.256 -0.253 N3 −0.232 −0.235 −0.215 -0.257 The DFT-predicted geometries are in excellent agreement with the crystallographic measurements, validating the computational model (Table 5 ). Across the series, methyl-substituted complexes exhibit slightly elongated Ru–N bonds (by ~ 0.02–0.03 Å) relative to their unsubstituted analogues, reflecting a modest weakening of the donor environment. In contrast, Ru–Cl bond lengths remain essentially invariant (2.39–2.41 Å), underscoring the negligible influence of substitution on trans influence at the metal center. The N–Ru–N bite angles (83–88°) are largely dictated by the chelate geometry of the bis(pyrazol-1-yl)methane ligand and show only minor electronic contributions. Overall, the congruence between experimental and theoretical results supports the reliability of the B3LYP/6-31G**//LanL2DZ level of theory for describing half-sandwich ruthenium complexes. Importantly, the subtle bond length variations observed here are consistent with recent integrative crystallographic–DFT studies on η⁶-arene Ru(II) scaffolds, which attribute such effects to a combination of steric congestion and modest electronic redistribution rather than to fundamental changes in coordination mode [ 70 ]. Table 5 Comparison of selected DFT data metrics with those from the crystal structures for complexes RuL1 RuL2 RuL3 RuL4 Bond lengths Theoret Cryst. %RE Theoret. Cryst. Theoret. Cryst %RE %RE Theoret. Cryst. %RE Ru- ‡ Cl 2.468 2.4088 2.5 2.4468 2.4015 2.4598 2.4012 2.4 1.9 2.4541 2.3905 2.7 Ru-C centroid 1.864 1.673 11.4 1.850 1.676 1.860 1.688 10.2 10.4 1.873 1.676 11.8 Ru-N1 2.0826 2.0983 0.7 2.0915 2.1037 2.0952 2.112 0.8 0.6 2.1025 2.1206 0.9 Ru-N3 2.0853 2.0878 0.1 2.0848 2.0975 2.1075 2.1270 0.9 0.6 2.0937 2.1192 1.2 Theoret. = DFT-calculated data; Cryst = crystal data taken as the accurate data; % relative error (RE) = {(DFT Theoret. – Cryst)/Cryst} × 100. Cytotoxicity Evaluation of Complexes against Various Cancer Subtypes The antiproliferative activities of the ruthenium(II) complexes ( RuL1 – RuL4 ) were evaluated against a diverse panel of human cancer cell lines, including cervical (Caski, HeLa), breast (MCF-7, T-47D, MDA-MB-231), pancreatic (CFPAC-1, PANC-1), and rhabdomyosarcoma (RH-30, RD), using the MTT assay after 48 h exposure. At 20 µM, all complexes displayed limited cytotoxicity, with cell viability generally exceeding 90% across all subtypes, indicating low antiproliferative activity (Figs. 5 – 8 , Table S3). For instance, in MCF-7 cells, RuL1 – RuL4 maintained viability between 94–97%, whereas cisplatin (CDDP) reduced viability to approximately 52%. Similar trends were observed in T-47D, MDA-MB-231, and Caski cells (90–96% viability vs . 35–65% for CDDP). Notably, pancreatic cancer cells (CFPAC-1, PANC-1) even exhibited apparent proliferation (104–125% viability), further confirming the lack of growth inhibition. The low antiproliferative response of RuL1 – RuL4 contrasts markedly with the stronger activities reported for structurally related η⁶-arene Ru(II) complexes containing bis(pyrazol-1-yl)methane (bpzm) or analogous ligands. In this study, all four complexes retained cell viabilities above 88% at 20 µM across nine human cancer cell lines, indicating estimated IC₅₀ values exceeding 100 µM. By comparison, Matveevskaya et al . (2021) [ 66 ] reported that [Ru(η⁶- p -cymene)(bis(pyrazol-1-yl)methane)Cl]Cl exhibited IC₅₀ = 47.3 ± 0.8 µM in MCF-7 breast cancer cells, while cisplatin in the same study showed IC₅₀ = 33.7 ± 1.8 µM, confirming the higher potency of the reference drug. Similarly, Montani et al. (2016) [ 42 ] demonstrated that a methyl-substituted bpzm complex, [Ru(η⁶- p -cymene)(bis(3,5-dimethylpyrazol-1-yl)methane)Cl]Cl (UNICAM-1), induced significant tumour growth suppression in triple-negative breast cancer models, consistent with low micromolar in vitro activity. More recently, Pereira et al. (2023) [ 13 ] and Allison et al. (2023) [ 71 ] reported families of arene–Ru(II) derivatives, including RAPTA-like and ferrocene-substituted analogues, with IC₅₀ values ranging from 1.8 to 15 µM against breast cancer subtypes such as MCF-7 and MDA-MB-231. These comparative data indicate that RuL1 – RuL4 are less cytotoxic than many reported η⁶-arene ruthenium(II) complexes. The weaker activity observed for RuL1 – RuL4 can be attributed to their enhanced electronic and steric stability. Methylation on the pyrazole ring (in RuL3 and RuL4 ) slightly increases electron density at the Ru(II) center, but spectroscopic data (NMR, FTIR) reveal minimal changes in coordination geometry or donor strength. Furthermore, replacing p -cymene with toluene does not significantly affect electron donation, consistent with literature showing that arene substitution primarily influences redox lability rather than ground-state structure [ 61 , 65 , 71 ]. The large calculated HOMO–LUMO gaps (~ 4.0 eV) for RuL1 – RuL4 correlate with their low reactivity, whereas reported active analogues possess narrower gaps (2.5–3.5 eV), supporting the view that excessive stability suppresses biological activation processes such as aquation and redox cycling. Collectively, these findings emphasize a crucial structure–activity relationship: fine-tuning the bpzm backbone and electronic environment of Ru(II) complexes may substantially enhance cytotoxic potency while preserving selectivity. Conclusions This study demonstrates a clear structure–activity relationship in η⁶-arene ruthenium(II) half-sandwich complexes. Crystallographic and spectroscopic analyses confirmed robust piano-stool geometries, while DFT calculations validated these structures and revealed frontier orbital distributions consistent with high electronic hardness and large HOMO–LUMO gaps (~ 4.0 eV). These features, only minimally affected by pyrazole methylation or arene substitution, correlate directly with the poor cytotoxicity observed (cell viability ≥ 100%). Collectively, the results demonstrate that although structural and redox stability are desirable for complex integrity, excessive rigidity suppresses biological activation pathways. Effective therapeutic design will therefore require ligand architectures that balance kinetic robustness with tunable electronic flexibility, enabling charge-transfer processes and biomolecular interactions. Incorporating π-acceptor, conjugated, or moderately labile substituents into the ligand scaffold may lower ΔE, enhance MLCT efficiency, and unlock the latent cytotoxic potential of this Ru(II) arene platform. Declarations Supplementary Materials: You can access the following information online. CRediT authorship contribution statement A.K.K. conducted the investigation, conceptualized the study, carried out the synthesis, and contributed to drafting the manuscript. A.W. performed cell viability assays, conducted data analysis, and drafting. P.O. contributed to conceptualization, provided partial funding, supervision, and review. J.O.O. involved in study conceptualization and contributed to the manuscript review. J.G. supported synthesis with partial funding and manuscript review. A.M. contributed to compound characterization, partial funding, drafting, and reviewing. S.P. provided partial funding for cell viability studies and participated in reviewing. G.S.S. contributed to cell viability studies, provided partial funding, and reviewing. R.O.O responsible for spectral characterization, and contributed to writing and reviewing. All authors have read and approved the final version of the manuscript. Conflicts of Interest : The authors declare no competing financial or non-financial interests. Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Author Contribution A.K.K. conducted the investigation, conceptualized the study, carried out the synthesis, and contributed to drafting the manuscript. A.W. performed cell viability assays, conducted data analysis, and drafting. P.O. contributed to conceptualization, provided partial funding, supervision, and review. J.O.O. involved in study conceptualization and contributed to the manuscript review. J.G. supported synthesis with partial funding and manuscript review. A.M. contributed to compound characterization, partial funding, drafting, and reviewing. S.P. provided partial funding for cell viability studies and participated in reviewing. G.S.S. contributed to cell viability studies, provided partial funding, and reviewing. R.O.O responsible for spectral characterization, and contributed to writing and reviewing. All authors have read and approved the final version of the manuscript. Acknowledgments: The authors gratefully acknowledge the Department of Chemistry, Egerton University (Kenya) for support during the synthesis phase. Partial funding for characterization and cytotoxicity studies was provided by the School of Chemistry, University of KwaZulu-Natal, and the Departments of Chemistry and Human Biology, University of Cape Town (South Africa). The authors also acknowledge Mrs. C. J. van Rensburg for assistance with mass spectrometry and Mr. C. Grimmer for NMR analysis. Data Availability Statement: The supplementary crystallographic data for RuL2, RuL4, RuL3 and RuL1 (for Ref codes: cu_am_ro_am_1/2/6/7_0m) and CDCC Nos: 2470090, 2470091, 2470092 and 2470093, respectively can be obtained free of charge via http://www.ccdc.cam.ac.uk/conts/retrieving.html (accessed on 4th July 2025), or from the Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, UK; fax: (+ 44)1223-336-033; or via email: [email protected] . References Bergamo A, Gaiddon C, Schellens J, Beijnen J, Sava G (2012) Approaching tumour therapy beyond platinum drugs: status of the art and perspectives of ruthenium drug candidates. J Inorg Biochem 106:90–99. https://doi.org/10.1016/j.jinorgbio.2011.09.030 Yusoh NA, Chia SL, Saad N, Ahmad H, Gill MR (2023) Synergy of ruthenium metallo-intercalator, [Ru (dppz) 2 (PIP)] 2+ , with PARP inhibitor Olaparib in non-small cell lung cancer cells. 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Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 21 Jan, 2026 Reviews received at journal 21 Jan, 2026 Reviews received at journal 03 Jan, 2026 Reviews received at journal 01 Jan, 2026 Reviewers agreed at journal 28 Dec, 2025 Reviews received at journal 28 Dec, 2025 Reviews received at journal 23 Dec, 2025 Reviewers agreed at journal 19 Dec, 2025 Reviewers agreed at journal 19 Dec, 2025 Reviewers agreed at journal 19 Dec, 2025 Reviewers agreed at journal 19 Dec, 2025 Reviewers invited by journal 19 Dec, 2025 Editor assigned by journal 19 Dec, 2025 Submission checks completed at journal 19 Dec, 2025 First submitted to journal 17 Dec, 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. 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7","display":"","copyAsset":false,"role":"figure","size":53086,"visible":true,"origin":"","legend":"\u003cp\u003eCell viability (%) of human cancer subtypes (CFPAC-1 \u0026amp; PANC-1) pancreatic cancer cells after 20 µM 48-hour treatment as determined by the MTT assay.\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-8388864/v1/5833f8c7c831f4d82fa53188.png"},{"id":98864458,"identity":"51bd9682-d768-4412-9127-b29fe96155dc","added_by":"auto","created_at":"2025-12-23 10:35:31","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":49776,"visible":true,"origin":"","legend":"\u003cp\u003eCell viability (%) of human cancer subtypes (RH-30 \u0026amp; RD) rhabdomyosarcoma cancer cells after 20 µM 48-hour treatment as determined by the MTT 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16:08:54","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":578142,"visible":true,"origin":"","legend":"","description":"","filename":"KanyoraetalSupplementarymaterialsDec2025.docx","url":"https://assets-eu.researchsquare.com/files/rs-8388864/v1/7e56ec37a2ff20b3001dffd5.docx"},{"id":98864444,"identity":"402c66e0-3738-46c8-b587-4b94f827cd90","added_by":"auto","created_at":"2025-12-23 10:35:31","extension":"png","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":113273,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eScheme 1\u003c/strong\u003e: Structures of the studied Ru(II) bis(pyrazol-1-yl)methane complexes (\u003cstrong\u003eRuL1-C7\u003c/strong\u003e, \u003cstrong\u003eRuL2-C1\u003c/strong\u003e, \u003cstrong\u003eRuL3-C6\u003c/strong\u003e and \u003cstrong\u003eRuL4-C2\u003c/strong\u003e).\u003c/p\u003e","description":"","filename":"SC1.png","url":"https://assets-eu.researchsquare.com/files/rs-8388864/v1/444e85bf8905df3bf2892b4c.png"},{"id":99308686,"identity":"48eea8e5-a48d-45e7-86c7-2c65916b4909","added_by":"auto","created_at":"2025-12-31 16:08:57","extension":"png","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":91094,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eScheme 2. \u003c/strong\u003eSynthetic route for\u003cstrong\u003e \u003c/strong\u003e[(cym/tol)dpzm/bdmpzm)Ru(Cl)]BF\u003csub\u003e4 \u003c/sub\u003ecomplexes, \u003cstrong\u003eRuL1\u003c/strong\u003e (R = CH\u003csub\u003e3\u003c/sub\u003e, R\u003csub\u003e1\u003c/sub\u003e = H) \u003cstrong\u003eRuL2; (\u003c/strong\u003eR = H, R\u003csub\u003e1\u003c/sub\u003e = CHMe\u003csub\u003e2\u003c/sub\u003e); \u003cstrong\u003eRuL3\u003c/strong\u003e (R = H, R\u003csub\u003e1\u003c/sub\u003e = CHMe\u003csub\u003e2\u003c/sub\u003e) and \u003cstrong\u003eRuL4 \u003c/strong\u003e(R = CH\u003csub\u003e3\u003c/sub\u003e, R\u003csub\u003e1\u003c/sub\u003e = CHMe\u003csub\u003e2\u003c/sub\u003e).\u003c/p\u003e","description":"","filename":"SC2.png","url":"https://assets-eu.researchsquare.com/files/rs-8388864/v1/e581a07fb819a10ae1cb9785.png"}],"financialInterests":"No competing interests reported.","formattedTitle":"Ruthenium-Arene Complexes with Bis(pyrazol-1-yl)methane Ligands: Structural, DFT Analysis, and Cytotoxicity Studies","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe search for alternative metal-based anticancer agents has increasingly turned to ruthenium complexes due to their diverse oxidation states, versatile coordination chemistry, and distinct mechanisms of action compared with platinum drugs [\u003cspan additionalcitationids=\"CR2 CR3 CR4 CR5\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Unlike Pt(II)-based agents, which primarily target DNA, ruthenium complexes exhibit non-conventional pathways of antiproliferative activity, providing unique opportunities in rational drug design [\u003cspan additionalcitationids=\"CR8 CR9\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Several candidates have progressed to preclinical and clinical evaluation, underscoring their therapeutic promise [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan additionalcitationids=\"CR12\" citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eClinically relevant examples include the Ru(III) complexes KP1019, KP1339, and NAMI-A, belonging to the RAPTA (Ru\u0026ndash;arene\u0026ndash;phosphine) family. These compounds demonstrated encouraging anticancer and antimetastatic activity with reduced systemic toxicity compared to platinum analogues [\u003cspan additionalcitationids=\"CR14 CR15\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Their activity has been attributed in part to the biological resemblance of Ru(III) to Fe(III), which enables interaction with transferrin and albumin, facilitating selective delivery [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. \u003cem\u003eIn vivo\u003c/em\u003e, these species are believed to function as prodrugs, undergoing thiol-mediated reduction to active Ru(II) forms [\u003cspan additionalcitationids=\"CR19 CR20 CR21\" citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Despite promising preclinical profiles, challenges such as poor solubility and low therapeutic index hindered their progression beyond Phase I trials [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eTo overcome these limitations, attention has shifted to η⁶-arene Ru(II) complexes, which display enhanced stability and lipophilicity and allow fine-tuning of steric and electronic properties through ligand design [\u003cspan additionalcitationids=\"CR24\" citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Their biological activity has been linked not only to DNA interactions but also to protein binding and enzyme modulation [\u003cspan additionalcitationids=\"CR27 CR28 CR29 CR30 CR31\" citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. Numerous half-sandwich Ru(II) complexes bearing N,Nʹ-donor ligands have shown significant cytotoxicity and activity against cisplatin-resistant cell lines [\u003cspan additionalcitationids=\"CR34 CR35 CR36 CR37\" citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. For instance, hydrazinyl-thiazolo Ru(II) complexes modulated p53 signaling to induce apoptosis in ovarian cancer cells, while arene\u0026ndash;thiosemicarbazone complexes exhibited potent activity against both primary and metastatic ovarian models [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. These studies highlight the critical role of ligand architecture in dictating stability, reactivity, and biological outcome.\u003c/p\u003e \u003cp\u003eBis(pyrazol-1-yl)methane (dpzm) ligands are particularly attractive scaffolds owing to their tunable donor properties and established pharmacological activities, including antioxidant, anti-inflammatory, antimicrobial, and anticancer effects [\u003cspan additionalcitationids=\"CR41 CR42 CR43 CR44 CR45\" citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. Substituent variation on the pyrazole rings or methylene bridge allows precise modulation of steric and electronic factors, offering opportunities for tailoring ruthenium complexes with improved pharmacological potential. Recent reports suggest that Ru(II)\u0026ndash;dpzm complexes can induce apoptosis-mediated cell death, but their structural features and reactivity remain underexplored [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIn this study, we synthesized and characterized a series of half-sandwich η⁶-arene Ru(II) complexes containing dpzm and bdpzm ligands with either toluene or \u003cem\u003ep\u003c/em\u003e-cymene as spectator arenes and are provided in Scheme \u003cspan refid=\"Sch1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Their molecular structures were determined by single-crystal X-ray diffraction, and their electronic properties were examined through Density Functional Theory (DFT) calculations. Cytotoxic activity was evaluated against a panel of cancer cell lines, including cervical (CaSki, HeLa), breast (MCF-7, T-47D, MDA-MB-231), pancreatic (CFPAC-1, PANC-1), and rhabdomyosarcoma (RH-30, RD). By systematically combining experimental and computational approaches, this work provides new insights into how dpzm-derived ligands influence the geometry, electronic stability, and cytotoxic profile of η⁶-arene Ru(II) complexes.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"Experimental Section","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eSynthetic Procedure for Complexes\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eBis(pyrazol-1-yl)methane ligands were synthesised as previously described [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. The arene complexes \u003cb\u003eRuL1 - RuL4\u003c/b\u003e, with the general formula [Ru(N^N\u0026rsquo;)(η⁶-arene)Cl]BF₄, where N^N\u0026rsquo; = bis(pyrazol-1-yl)methane (dpzm) or bis(3,5-dimethylpyrazol-1-yl)methane (bdmpzm), and η⁶-arene\u0026thinsp;=\u0026thinsp;\u003cem\u003ep\u003c/em\u003e-cymene (cym) or toluene (tol), were prepared according to the literature procedures (Scheme \u003cspan refid=\"Sch2\" class=\"InternalRef\"\u003e2\u003c/span\u003e) [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. A solution of 1 mmol (612 mg for cymene dimer; 528 mg for toluene dimer) of the dinuclear precursor [(η⁶-arene)RuCl(\u0026micro;-Cl)]₂ was mixed with 2.2 mmol of the bidentate ligand in dry acetonitrile (~\u0026thinsp;10 mL) under a nitrogen atmosphere at 25\u0026deg;C for 4 hours. The reaction mixture was concentrated under reduced pressure, and a cold ethanolic solution (5 mL) of NH₄BF₄ (2.5 mmol) was slowly added to precipitate the complexes. After cooling in an ice bath for 1 hour, the resulting orange/yellow crystalline products were filtered, washed with cold diethyl ether, and dried under vacuum. Single crystals suitable for X-ray diffraction were obtained by slow vapour diffusion (1\u0026ndash;2 weeks) of diethyl ether into methanol solutions of the complexes. Yields were typically between 40 and 84.1%.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eCharacterization of Complexes\u003c/h3\u003e\n\u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003e \u003csup\u003e1\u003c/sup\u003eH and \u003csup\u003e13\u003c/sup\u003eC NMR spectra were recorded on a Bruker Avance DPX 500 MHZ spectrometer equipped with a 5 mm sample probe at 30\u0026deg;C (Bruker BioSpin GmbH, Rheinstetten, Germany) operating at frequencies of 500 MHz for \u003csup\u003e1\u003c/sup\u003eH and 100 MHz for \u003csup\u003e13\u003c/sup\u003eC, respectively. All chemical shifts (δ) for protons or carbons are reported in parts per million (ppm) relative to tetramethylsilane (SiMe\u003csub\u003e4\u003c/sub\u003e). Peak multiplicities are abbreviated: singlet (s), doublet (d), triplet (t), quartet (q), and multiplet (m). Mass spectral data for the ligands and complexes were obtained using an LC Premier micro-mass spectrometer.\u003c/p\u003e \u003cp\u003eFT-IR spectra of complexes were recorded in the 3800\u0026ndash;600 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e range on an Agilent Technologies Cary 630 spectrometer (Vienna, Austria). Elemental analyses (C, H, and N) for complexes \u003cb\u003eRuL1-RuL4\u003c/b\u003e were performed using a Thermo Scientific Flash 2000 Spectrometer. The full characterization data are given in the Supporting Information (SI1\u0026ndash;15).\u003c/p\u003e \u003cp\u003eSingle-crystal X-ray diffraction data of \u003cb\u003eRuL1-RuL4\u003c/b\u003e were collected using a Bruker APEX Duo CCD area detector diffractometer [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e] fitted with an Incoatec micro source operating at 30 W. The crystals were maintained at a constant temperature within the range of 100\u0026ndash;104 K during data collection using an Oxford Instruments Cryojet accessory (Oxford, UK). Diffraction was performed using graphite-monochromated Cu \u003cem\u003eK\u003c/em\u003e\u003csub\u003eα\u003c/sub\u003e radiation (λ\u0026thinsp;=\u0026thinsp;1.54178 \u0026Aring;), with a crystal-to-detector distance of 50 mm. Data were collected using ω-/φ-scans, 30 W X-ray power and 0.50\u003csup\u003eo\u003c/sup\u003e frame widths, and a 2θ range in the range 6.98\u0026ndash;142.948\u0026deg; using SAINTS\u0026rsquo; APEX2 [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. Crystal structures were solved using the OLEX2 program [\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e], with the SHELXT structure solution program [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e] employing Intrinsic Phasing, and refined using SHELXL. All non-hydrogen atoms were refined anisotropically via full-matrix least-squares minimisation/refinement on \u003cem\u003eF\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e. Hydrogen atoms were included in the model but not refined. Crystallographic visualization was performed in Mercury v.4.3 (Cambridge Crystallographic Data Centre, Cambridge, UK). A summary of the data collection and refinement parameters is provided in Tables\u0026nbsp;1and 2. Intramolecular contacts for complex \u003cb\u003eRuL4\u003c/b\u003e are listed in Table \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eComputational Analysis\u003c/h3\u003e\n\u003cp\u003eTo gain deeper insights into the structural and electronic properties of the η⁶-arene ruthenium(II) complexes, computational modeling was carried out. The ground-state geometries of complexes \u003cb\u003eRuL1-RuL4\u003c/b\u003e were optimized using Density Functional Theory (DFT) as implemented in the Gaussian 09 software suite [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. The B3LYP (Becke, 3-parameter, with Lee-Yang-Parr) method [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e], in combination with the LANL2DZ basis sets, was employed to optimize the geometries of the complexes. All calculations were carried out in methanol, using the conductor-like polarizable continuum model (C-PCM) to simulate solvation effects [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. The calculations assumed a singlet spin ground state and a total charge of +\u0026thinsp;2. The optimized geometries are summarised in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, while key computed parameters\u0026mdash;including HOMO and LUMO energies, NBO atomic charges, selected bond lengths and other relevant electronic descriptors\u0026mdash;are provided in Tables\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e and \u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e.\u003c/p\u003e\n\u003ch3\u003eCell Culture and Cytotoxicity Assay\u003c/h3\u003e\n\u003cp\u003eThe breast cancer cell lines, MCF-7 (estrogen-receptor positive), T-47D, and MDA-MB-231 (triple-negative); as well as cervical cancer subtypes (Caski and HeLa), pancreatic cancer subtypes (CFPAC-1 and PANC-1), and rhabdomyosarcoma cancer subtypes (RH-30 and RD) were cultured in the Roswell Park Memorial Institute (RPMI) 1640 medium (Sigma Aldrich, USA) and Dulbecco\u0026rsquo;s Modified Eagle Medium (DMEM) (Sigma Aldrich, USA), respectively. All media were supplemented with 10% heat-inactivated foetal bovine serum (FBS), 100 \u0026micro;g/mL streptomycin, and 100 \u0026micro;g/mL penicillin. To maintain physiological pH and temperature, the cells were incubated in a 5% CO\u003csub\u003e2\u003c/sub\u003e atmosphere at 37\u0026deg;C. Additionally, the culture media were replaced with fresh media every 48 to 72 hours.\u003c/p\u003e \u003cp\u003eThe cytotoxic effects of the η⁶-arene Ru(II) complexes (\u003cb\u003eRuL2\u003c/b\u003e\u0026ndash;\u003cb\u003eRuL1\u003c/b\u003e) were assessed \u003cem\u003ein vitro\u003c/em\u003e against nine cancer cell line subtypes. Cells were seeded in 96-well plates at the following densities per well: MCF-7, T-47D, Caski, and HeLa (4,500 cells); MDA-MB-231 (3,000 cells); CFPAC (10,000 cells); PANC-1 (8,000 cells); and RD and RH30 (6,500 cells each). The cells were allowed to adhere under standard physiological conditions using either RPMI or DMEM growth media for 24 hours (Caski, HeLa, RD, RH30, CFPAC, and PANC-1) or 48 hours (MCF-7, MDA-MB-231, and T-47D), depending on the cell line.\u003c/p\u003e \u003cp\u003eOnce the cells reached approximately 50\u0026ndash;60% confluence, they were treated for 48 hours with either 0.1% DMSO (vehicle control) or 20 \u0026micro;M of each test complex (\u003cb\u003eRuL1\u0026ndash; RuL4\u003c/b\u003e) prepared in 0.1% DMSO. Cell viability and proliferation were evaluated using the MTT assay, following the method developed by Mosmann [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. This colorimetric assay is based on the NAD(P)H-dependent reduction of MTT by cellular oxidoreductase enzymes, producing purple formazan crystals in metabolically active cells [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e]. Following incubation with the MTT reagent, the absorbance of the resulting formazan was measured at 600 nm using a pre-calibrated GloMax\u0026reg; Explorer Multimode Microplate Reader GM3500 (Promega). Absorbance values were corrected by subtracting the blank readings obtained from the corresponding media (RPMI and DMEM) used for each cell line [\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e]. Each compound was tested in quadruplicate wells, and the entire experiment was conducted in triplicate to ensure reproducibility. The mean percentage cell viability for each treatment group was normalized to the vehicle control, which was set as 100% viability.\u003c/p\u003e"},{"header":"Results and Discussion","content":"\u003cp\u003eThe \u0026eta;⁶-arene ruthenium(II) complexes were characterized using FTIR, NMR (\u0026sup1;H and \u0026sup1;\u0026sup3;C), ESI-MS, elemental analysis, and single-crystal X-ray diffraction. These complementary techniques confirmed the molecular structures, coordination environments, and solution stability of the complexes.\u003c/p\u003e\n\u003cp\u003eThe \u0026sup1;H and \u0026sup1;\u0026sup3;C NMR spectra (Figures \u003cspan class=\"InternalRef\"\u003eS1\u003c/span\u003e\u0026ndash;S8 and Table \u003cspan class=\"InternalRef\"\u003eS1\u003c/span\u003e) showed all expected resonances for the coordinated \u0026eta;⁶-arene (\u003cem\u003ep\u003c/em\u003e-cymene or toluene) and the N,N\u0026prime;-chelating bis(pyrazol-1-yl)methane ligands, consistent with a single species in solution. A diagnostic feature was the methylene bridge (\u0026ndash;CH₂\u0026ndash;) of the bis(pyrazolyl)methane ligands, which exhibited clear diastereotopism. In the dpzm- and bdmpzm-based complexes (\u003cstrong\u003eRuL2\u003c/strong\u003e and \u003cstrong\u003eRuL1\u003c/strong\u003e), the methylene protons appeared as AB spin systems at \u0026delta; 6.25\u0026ndash;7.08 ppm, while in \u003cstrong\u003eRuL3\u003c/strong\u003e and \u003cstrong\u003eRuL4\u003c/strong\u003e (substituted bdmpzm) they appeared as AX systems at \u0026delta; 5.84\u0026ndash;6.34 ppm, confirming restricted rotation and a rigid chelating environment around Ru(II). Similar methylene diastereotopy has been observed in \u0026eta;⁶-arene Ru(II) complexes containing bis(pyrazol-1-yl)methane ligands, where chelation locks the CH₂ bridge in a rigid geometry [\u003cspan class=\"CitationRef\"\u003e42\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e61\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eThe aromatic region also provided useful structural information. Complexes \u003cstrong\u003eRuL1\u003c/strong\u003e and \u003cstrong\u003eRuL2\u003c/strong\u003e exhibited three distinct pyrazolyl resonances between \u0026delta; 6.63\u0026ndash;8.22 ppm, while \u003cstrong\u003eRuL3\u003c/strong\u003e and \u003cstrong\u003eRuL4\u003c/strong\u003e displayed a single, well-resolved set at \u0026delta; 6.26\u0026ndash;7.00 ppm. The bdmpzm methyl substituents appeared as sharp singlets at \u0026delta; 2.48 ppm in \u003cstrong\u003eRuL3\u003c/strong\u003e and \u003cstrong\u003eRuL4\u003c/strong\u003e, in agreement with their symmetric environment. The \u0026eta;⁶-arene protons were observed as multiplets in the \u0026delta; 5.91\u0026ndash;6.18 ppm range for the toluene derivatives and \u0026delta; 6.00\u0026ndash;6.18 ppm for the cymene analogues, both appearing as typical AA\u0026prime;BB\u0026prime; spin systems of centrosymmetric arene\u0026ndash;ruthenium complexes [\u003cspan class=\"CitationRef\"\u003e62\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e63\u003c/span\u003e]. Comparable arene resonance patterns have been reported in other half-sandwich Ru(II) systems bearing pyrazolyl or imidazolyl ligands, confirming that such features are diagnostic of the piano-stool geometry [\u003cspan class=\"CitationRef\"\u003e64\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eThe \u003csup\u003e13\u003c/sup\u003eC NMR spectra corroborated these findings, with methylene and arene carbons signals aligning with values reported for related Ru(II) \u0026eta;⁶-arene complexes [\u003cspan class=\"CitationRef\"\u003e65\u003c/span\u003e]. These trends indicate that substitution on the bis(pyrazolyl) backbone (dpzm \u0026rarr; bdmpzm) induces only minor electronic perturbations at the Ru center, similar to those observed in other Ru(II) arene\u0026ndash;heteroscorpionate systems [\u003cspan class=\"CitationRef\"\u003e66\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eThe FTIR spectra (Figures S9\u0026ndash;S11) exhibited characteristic absorptions consistent with coordination of the bis(pyrazol-1-yl)methane ligands. Two \u0026nu;(C\u0026ndash;H) stretching bands were observed at ~\u0026thinsp;3133 and 2950 cm⁻\u0026sup1;, attributable to aromatic and aliphatic moieties, respectively. A band in the 1516\u0026ndash;1559 cm⁻\u0026sup1; region was assigned to the \u0026nu;(C\u0026thinsp;=\u0026thinsp;N) stretch of the coordinated pyrazolyl groups, while absorptions between 1200\u0026ndash;1422 cm⁻\u0026sup1; corresponded to \u0026nu;(C\u0026thinsp;=\u0026thinsp;C) vibrations within the heteroaromatic rings [\u003cspan class=\"CitationRef\"\u003e47\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eIn addition, a sharp absorption band near 1030 cm⁻\u0026sup1; (\u003cstrong\u003eRuL1\u003c/strong\u003e and \u003cstrong\u003eRuL3\u003c/strong\u003e) and ~\u0026thinsp;1050 cm⁻\u0026sup1; (\u003cstrong\u003eRuL2\u003c/strong\u003e and \u003cstrong\u003eRuL4\u003c/strong\u003e) was attributed to the vibronic \u0026nu;(B\u0026ndash;F) stretch of the tetrafluoroborate (BF₄⁻) counterion, confirming its retention in the isolated complexes. The absence of extraneous bands in the carbonyl region supported the purity of the compounds, while the diagnostic \u0026nu;(C\u0026thinsp;=\u0026thinsp;N) shifts relative to the free ligands indicated successful coordination through the pyrazolyl donors.\u003c/p\u003e\n\u003cp\u003eThese \u0026nu;(C\u0026thinsp;=\u0026thinsp;N) shifts are comparable to those reported for other Ru(II)\u0026ndash;pyrazolyl complexes, reflecting similar electron withdrawal upon metal coordination [\u003cspan class=\"CitationRef\"\u003e42\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e64\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eESI-MS provided further confirmation of the proposed molecular formulas. The spectra revealed distinct molecular ion peaks with isotopic distributions characteristic of ruthenium (Figures S12\u0026ndash;S15). The most intense signals corresponded to the [M\u0026thinsp;+\u0026thinsp;H]⁺ species for each complex: m/z 377 (\u003cstrong\u003eRuL1\u003c/strong\u003e), 419 (\u003cstrong\u003eRuL2\u003c/strong\u003e), 433 (\u003cstrong\u003eRuL3\u003c/strong\u003e), and 475 (\u003cstrong\u003eRuL4\u003c/strong\u003e), all in excellent agreement with calculated values. The observed isotopic envelopes closely matched theoretical Ru isotope patterns, reinforcing the elemental analysis results. Minimal fragmentation under ionization, as observed here, has also been reported for similar Ru(II) arene\u0026ndash;pyrazolyl species, highlighting the stability of the Ru\u0026ndash;N coordination [\u003cspan class=\"CitationRef\"\u003e64\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eOverall, the combined spectroscopic and analytical results confirm the successful formation of \u0026eta;⁶-arene Ru(II) half-sandwich complexes with bis(pyrazol-1-yl)methane ligands. The observed NMR, FTIR, and MS profiles show strong parallels with those reported for structurally related \u0026eta;⁶-arene Ru(II) scaffolds [\u003cspan class=\"CitationRef\"\u003e64\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e66\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e67\u003c/span\u003e] suggesting that the dpzm/bdmpzm substitution primarily tunes steric and electronic effects without altering the core piano-stool geometry. Such ligand-dependent modulation has been correlated with subtle changes in redox and biological behavior in comparable complexes, as noted in recent reports.\u003c/p\u003e\n\u003cp\u003eSingle-crystal X-ray diffraction confirmed the molecular structures of \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e (Figs.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e), and crystallographic parameters are summarized in Tables\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e and \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e. In all cases, the Ru(II) center adopts the expected distorted octahedral \u0026ldquo;piano-stool\u0026rdquo; geometry, comprising an \u0026eta;⁶-arene, a bidentate bis(pyrazol-1-yl)methane ligand, and a terminal chloride donor.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv class=\"colspec\" align=\"left\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003ctable id=\"Tab1\" style=\"width: 1046px;\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eCrystallographic data and structure refinement parameters for the complexes.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth style=\"width: 164px;\" align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eRuL1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eRuL2\u003c/p\u003e\n \u003c/th\u003e\n \u003cth style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eRuL3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003eRuL4\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eEmpirical formula\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e14\u003c/sub\u003eH\u003csub\u003e16\u003c/sub\u003eBClF\u003csub\u003e4\u003c/sub\u003eN\u003csub\u003e4\u003c/sub\u003eRu\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e34\u003c/sub\u003eH\u003csub\u003e44\u003c/sub\u003eB\u003csub\u003e2\u003c/sub\u003eCl\u003csub\u003e2\u003c/sub\u003eF\u003csub\u003e8\u003c/sub\u003eN\u003csub\u003e8\u003c/sub\u003eRu\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e36\u003c/sub\u003eH\u003csub\u003e48\u003c/sub\u003eB\u003csub\u003e2\u003c/sub\u003eCl\u003csub\u003e2\u003c/sub\u003eF\u003csub\u003e8\u003c/sub\u003eN\u003csub\u003e8\u003c/sub\u003eRu\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e21\u003c/sub\u003eH\u003csub\u003e30\u003c/sub\u003eBClF\u003csub\u003e4\u003c/sub\u003eN\u003csub\u003e4\u003c/sub\u003eRu\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eColor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eYellow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eOrange\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eOrange\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003eOrange\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eFormula weight\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e463.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1011.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1039.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e561.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eTemperature/K\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e103.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e99.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e100.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e102.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eCrystal system\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003emonoclinic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003etriclinic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003etriclinic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003emonoclinic\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eSpace group\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eP2\u003csub\u003e1\u003c/sub\u003e/c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eP-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eP-1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003eP2\u003csub\u003e1\u003c/sub\u003e/n\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003ea/\u0026Aring;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e7.0627(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e9.9969(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e13.0289(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e9.7370(3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eb/\u0026Aring;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e19.5075(5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e13.8338(3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e13.8249(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e24.5694(7)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003ec/\u0026Aring;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e12.0646(3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e14.2960(3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e14.0532(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e9.9199(3)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003e\u0026alpha;/\u0026deg;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e87.5770(10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e109.4400(10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003e\u0026beta;/\u0026deg;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e96.6580(10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e89.5590(10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e115.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e99.0130(10)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003e\u0026gamma;/\u0026deg;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e85.0700(10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e100.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eVolume/\u0026Aring;\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1651.00(8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1967.98(7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e2004.98(5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e2343.86(12)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eZ\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003e\u0026rho;\u003csub\u003ecalc\u003c/sub\u003eg/cm\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.865\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.707\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.722\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e1.592\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003e\u0026micro;/mm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e9.627\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e8.132\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e6.89\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eF(000)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e920\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e1144\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eCrystal size/mm\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e0.215 \u0026times; 0.075 \u0026times; 0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e0.23 \u0026times; 0.17 \u0026times; 0.125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e0.335 \u0026times; 0.205 \u0026times; 0.205\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e0.125 \u0026times; 0.105 \u0026times; 0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eRadiation (CuK\u0026alpha; (\u0026lambda;))\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.54178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.54178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.5417\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e1.54178\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003e2\u0026Theta; range for data collection/\u0026deg;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e8.66 to 136.284\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e6.188 to 134.354\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e7.31 to 143.952\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e7.196 to 136.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eIndex ranges\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e-7\u0026thinsp;\u0026le;\u0026thinsp;h\u0026thinsp;\u0026le;\u0026thinsp;7, -23\u0026thinsp;\u0026le;\u0026thinsp;k\u0026thinsp;\u0026le;\u0026thinsp;23, -14\u0026thinsp;\u0026le;\u0026thinsp;l\u0026thinsp;\u0026le;\u0026thinsp;14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e-11\u0026thinsp;\u0026le;\u0026thinsp;h\u0026thinsp;\u0026le;\u0026thinsp;11, -16\u0026thinsp;\u0026le;\u0026thinsp;k\u0026thinsp;\u0026le;\u0026thinsp;16, -17\u0026thinsp;\u0026le;\u0026thinsp;l\u0026thinsp;\u0026le;\u0026thinsp;17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e-15\u0026thinsp;\u0026le;\u0026thinsp;h\u0026thinsp;\u0026le;\u0026thinsp;15, -16\u0026thinsp;\u0026le;\u0026thinsp;k\u0026thinsp;\u0026le;\u0026thinsp;16, -16\u0026thinsp;\u0026le;\u0026thinsp;l\u0026thinsp;\u0026le;\u0026thinsp;15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e-9\u0026thinsp;\u0026le;\u0026thinsp;h\u0026thinsp;\u0026le;\u0026thinsp;11, -29\u0026thinsp;\u0026le;\u0026thinsp;k\u0026thinsp;\u0026le;\u0026thinsp;29, -11\u0026thinsp;\u0026le;\u0026thinsp;l\u0026thinsp;\u0026le;\u0026thinsp;11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eReflections collected\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e23923\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e56434\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e49369\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e32378\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eIndependent reflections\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e2934 [R\u003csub\u003eint\u003c/sub\u003e = 0.0253, R\u003csub\u003esigma\u003c/sub\u003e = 0.0142]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e6893 [R\u003csub\u003eint\u003c/sub\u003e = 0.0271, R\u003csub\u003esigma\u003c/sub\u003e = 0.0141]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e7309 [R\u003csub\u003eint\u003c/sub\u003e = 0.0260, R\u003csub\u003esigma\u003c/sub\u003e = 0.0151]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e4179 [R\u003csub\u003eint\u003c/sub\u003e = 0.0302, R\u003csub\u003esigma\u003c/sub\u003e = 0.0165]\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eData/restraints/parameters\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e2934/0/247\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e6893/0/511\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e7309/0/553\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e4179/0/296\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eGoodness-of-fit on F\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.162\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e1.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e1.042\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eFinal R indexes [I\u0026thinsp;\u0026ge;\u0026thinsp;2\u0026sigma; (I)]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0161, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0411\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0199, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0491\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0238, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0593\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0182, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0448\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eFinal R indexes [all data]\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0166, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0415\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0202, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0494\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0240, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0595\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003eR\u003csub\u003e1\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0190, wR\u003csub\u003e2\u003c/sub\u003e\u0026thinsp;=\u0026thinsp;0.0452\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 164px;\" align=\"left\"\u003e\n \u003cp\u003eLargest diff.\u003c/p\u003e\n \u003cp\u003epeak/hole / e \u0026Aring;\u003csup\u003e\u0026minus;3\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e0.31/-0.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e0.26/-0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211px;\" align=\"left\"\u003e\n \u003cp\u003e0.48/-0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 211.368px;\" align=\"left\"\u003e\n \u003cp\u003e0.29/-0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003cdiv class=\"colspec\" align=\"left\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003cdiv class=\"colspec\" align=\"char\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003cdiv class=\"colspec\" align=\"left\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eComparative bond lengths and angles of half-sandwich \u0026eta;⁶-arene Ru(II) complexes\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eComplex\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRu\u0026ndash;N (\u0026Aring;)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRu\u0026ndash;Cl (\u0026Aring;)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN\u0026ndash;Ru\u0026ndash;N / bite angle (\u0026deg;)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN\u0026ndash;Ru\u0026ndash;Cl (\u0026deg;)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRuL1 (toluene, non-Me)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.088\u0026ndash;2.099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.4089\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e85.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e85.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSlightly shorter Ru\u0026ndash;N; toluene less steric\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRuL2 (cymene, non-Me)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.097\u0026ndash;2.104\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.4016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e84.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e86.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eShorter Ru\u0026ndash;N; less distortion\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRuL3 (toluene, Me)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.119\u0026ndash;2.127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.3904\u0026ndash;2.4066\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e85.98\u0026ndash;86.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e84.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMethylation lengthens Ru\u0026ndash;N, minor angular shifts\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRuL4 (cymene, Me)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.112\u0026ndash;2.127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.4013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e87.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e84.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMethylation elongates Ru\u0026ndash;N, widens bite angle\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\u003eComparative structural analysis reveals subtle but systematic effects of arene identity and methyl substitution on the Ru\u0026ndash;N coordination environment. In both the toluene and \u003cem\u003ep\u003c/em\u003e-cymene series, methyl substitution on the ligand leads to slightly longer Ru\u0026ndash;N bonds (2.112\u0026ndash;2.127 \u0026Aring; in \u003cstrong\u003eRuL3\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e) relative to their non-methylated analogues (2.088\u0026ndash;2.104 \u0026Aring; in \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL2\u003c/strong\u003e), accompanied by small increases in the N\u0026ndash;Ru\u0026ndash;N bite angle. These values are consistent with those typically reported for \u0026eta;⁶-arene Ru(II) half-sandwich complexes \u003cstrong\u003e(\u003c/strong\u003eRu\u0026ndash;N\u0026thinsp;=\u0026thinsp;2.08\u0026ndash;2.13 \u0026Aring;, Ru\u0026ndash;Cl\u0026thinsp;=\u0026thinsp;2.38\u0026ndash;2.41 \u0026Aring; [\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e68\u003c/span\u003e]. Similar ligand-induced variations in bond lengths and bite angles have been noted in related Ru(II)\u0026ndash;bis(pyrazolyl) and heteroscorpionate systems, where steric and electronic effects subtly tune metal\u0026ndash;ligand interactions [\u003cspan class=\"CitationRef\"\u003e61\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e64\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eThe Ru\u0026ndash;Cl distances (2.39\u0026ndash;2.41 \u0026Aring;) remain effectively constant across the series, indicating that arene and ligand substitution primarily modulate the chelate domain rather than the monodentate site. This observation aligns with prior crystallographic studies showing that Ru\u0026ndash;Cl bond rigidity contributes to kinetic stability in half-sandwich complexes [\u003cspan class=\"CitationRef\"\u003e66\u003c/span\u003e].\u003c/p\u003e\n\u003cp\u003eCrystal packing is reinforced by weak C\u0026ndash;H\u0026middot;\u0026middot;\u0026middot;Cl and C\u0026ndash;H\u0026middot;\u0026middot;\u0026middot;\u0026pi; contacts (2.7\u0026ndash;2.9 \u0026Aring;), comparable to those found in other \u0026eta;⁶-arene Ru(II) salts [\u003cspan class=\"CitationRef\"\u003e65\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e69\u003c/span\u003e]. Such interactions enhance lattice stability without perturbing the primary coordination geometry (Figure S16 and Table S2).\u003c/p\u003e\n\u003cp\u003eOverall, these results confirm that both arene identity and methyl substitution induce predictable but modest geometric adjustments, consistent with structure\u0026ndash;property correlations observed in similar Ru(II) arene systems and likely relevant to the complexes\u0026rsquo; electronic and biological behavior.\u003c/p\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003eDensity Functional Theory (DFT) Calculations\u003c/h2\u003e\n \u003cp\u003eDensity Functional Theory (DFT) calculations were undertaken to complement and rationalize the experimental findings. The geometry-optimized structures of \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e at the B3LYP/LANL2DZ level reproduced the crystallographic parameters closely, with Ru\u0026ndash;N and Ru\u0026ndash;Cl bond length deviations below 0.03 \u0026Aring; and bite angle differences within 1\u0026deg;. This strong agreement confirms that both arene type and methyl substitution exert only subtle, predictable influences on the coordination geometry (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\n \u003cp\u003eMethyl substitution led to slightly longer Ru\u0026ndash;N bonds and smaller HOMO\u0026ndash;LUMO gaps (3.12\u0026ndash;3.36 eV), suggesting increased electron donation from the ligand and enhanced metal\u0026ndash;ligand back-donation (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). These trends parallel experimental observations and align with previous reports on \u0026eta;⁶-arene Ru(II) and pyrazolyl complexes, where small electronic perturbations fine-tune reactivity and redox potential without compromising structural integrity [\u003cspan class=\"CitationRef\"\u003e61\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e64\u003c/span\u003e].\u003c/p\u003e\n \u003cp\u003eFrontier molecular orbital (FMO) analysis revealed that the HOMO is primarily localized on the Ru\u0026ndash;arene fragment, while the LUMO is mainly ligand-centered, indicating mixed metal-to-ligand charge transfer (MLCT) character. This orbital distribution is typical of half-sandwich Ru(II) complexes [\u003cspan class=\"CitationRef\"\u003e68\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e69\u003c/span\u003e] and mirrors findings in other bioactive N,N\u0026prime;-chelating Ru(II) scaffolds [\u003cspan class=\"CitationRef\"\u003e66\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e67\u003c/span\u003e]. Such MLCT features are significant for DNA or protein binding, where charge delocalization facilitates \u0026pi;\u0026ndash;\u0026pi; stacking and electron-transfer processes.\u003c/p\u003e\n \u003cp\u003eOverall, the DFT results corroborate the crystallographic and spectroscopic data, confirming that ligand and arene substitutions subtly modulate the electronic distribution without altering the core piano-stool structure. This delicate balance of geometric stability and electronic tenability also observed in analogous Ru(II) arene systems\u0026mdash;provides valuable insights into their potential chemical reactivity and biological performance.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 3:\u0026nbsp;\u003c/strong\u003eOverlays of the geometry-optimized structures on their crystal structures, and HOMO and LUMO electron density mappings for \u003cstrong\u003eRuL1\u003c/strong\u003e-\u003cstrong\u003eRuL4\u003c/strong\u003e.\u003c/p\u003e\u003cimg 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\"\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv class=\"colspec\" align=\"left\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eSummary of DFT calculated data for the optimized complexes.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eParameter\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRuL1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRuL2\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRuL3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRuL4\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eHOMO-LUMO energy/eV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u0026nbsp;(LUMO), eV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.420\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.330\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.403\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.338\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-(HOMO), eV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.468\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.374\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.330\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBand gap, \u0026Delta;E, eV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.068\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.971\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.992\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" align=\"left\"\u003e\n \u003cp\u003eGlobal electrochemical parameters\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eChemical hardness (\u003cem\u003e\u0026eta;\u003c/em\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.986\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.996\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eChemical potential (\u003cem\u003e\u0026micro;\u003c/em\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;4.444\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;4.364\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;4.389\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-4.334\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eChemical softness (\u003cem\u003e\u0026sigma;\u003c/em\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.494\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.492\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.504\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.501\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eElectronegativity (\u003cem\u003e\u0026chi;\u003c/em\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.444\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.364\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.389\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.334\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eElectrophilicity index (\u003cem\u003e\u0026omega;\u003c/em\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.879\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.681\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.705\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNucleophilicity (\u0026epsilon;)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.205\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.206\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.213\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDipole moments\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.0519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.8202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.8039\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.6336\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e(NBO) charge\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRu\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.046\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.289\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.299\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.303\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.312\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.237\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.256\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.253\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026minus;0.215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.257\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\u003eThe DFT-predicted geometries are in excellent agreement with the crystallographic measurements, validating the computational model (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). Across the series, methyl-substituted complexes exhibit slightly elongated Ru\u0026ndash;N bonds (by ~\u0026thinsp;0.02\u0026ndash;0.03 \u0026Aring;) relative to their unsubstituted analogues, reflecting a modest weakening of the donor environment. In contrast, Ru\u0026ndash;Cl bond lengths remain essentially invariant (2.39\u0026ndash;2.41 \u0026Aring;), underscoring the negligible influence of substitution on trans influence at the metal center. The N\u0026ndash;Ru\u0026ndash;N bite angles (83\u0026ndash;88\u0026deg;) are largely dictated by the chelate geometry of the bis(pyrazol-1-yl)methane ligand and show only minor electronic contributions.\u003c/p\u003e\n \u003cp\u003eOverall, the congruence between experimental and theoretical results supports the reliability of the B3LYP/6-31G**//LanL2DZ level of theory for describing half-sandwich ruthenium complexes. Importantly, the subtle bond length variations observed here are consistent with recent integrative crystallographic\u0026ndash;DFT studies on \u0026eta;⁶-arene Ru(II) scaffolds, which attribute such effects to a combination of steric congestion and modest electronic redistribution rather than to fundamental changes in coordination mode [\u003cspan class=\"CitationRef\"\u003e70\u003c/span\u003e].\u0026nbsp;\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv class=\"colspec\" align=\"left\"\u003e\u0026nbsp;\u003c/div\u003e\n \u003ctable id=\"Tab5\" style=\"width: 600.773px;\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eComparison of selected DFT data metrics with those from the crystal structures for complexes\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth style=\"width: 72px;\" align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth style=\"width: 42px;\" align=\"left\"\u003e\n \u003cp\u003eRuL1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth style=\"width: 38px;\" align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth style=\"width: 26px;\" align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth style=\"width: 130px;\" colspan=\"3\" align=\"left\"\u003e\n \u003cp\u003eRuL2\u003c/p\u003e\n \u003c/th\u003e\n \u003cth style=\"width: 90px;\" colspan=\"3\" align=\"left\"\u003e\n \u003cp\u003eRuL3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth style=\"width: 32px;\" align=\"left\"\u003e\n \u003cp\u003eRuL4\u003c/p\u003e\n \u003c/th\u003e\n \u003cth style=\"width: 29.5486px;\" align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth style=\"width: 29.7732px;\" align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 72px;\" align=\"left\"\u003e\n \u003cp\u003eBond lengths\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\" align=\"left\"\u003e\n \u003cp\u003eTheoret\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003eCryst.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e%RE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003eTheoret.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003eCryst.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003eTheoret.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003eCryst\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e%RE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e%RE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003eTheoret.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44.5486px;\" align=\"left\"\u003e\n \u003cp\u003eCryst.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e%RE\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 72px;\" align=\"left\"\u003e\n \u003cp\u003eRu-\u003csup\u003e\u0026Dagger;\u003c/sup\u003e Cl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\" align=\"left\"\u003e\n \u003cp\u003e2.468\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.4088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.4468\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.4015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.4598\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.4012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e2.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e1.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.4541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44.5486px;\" align=\"left\"\u003e\n \u003cp\u003e2.3905\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e2.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 72px;\" align=\"left\"\u003e\n \u003cp\u003eRu-C\u003csub\u003ecentroid\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\" align=\"left\"\u003e\n \u003cp\u003e1.864\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e1.673\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e11.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e1.850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e1.676\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e1.860\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e1.688\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e10.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e10.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e1.873\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44.5486px;\" align=\"left\"\u003e\n \u003cp\u003e1.676\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e11.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 72px;\" align=\"left\"\u003e\n \u003cp\u003eRu-N1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\" align=\"left\"\u003e\n \u003cp\u003e2.0826\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.0983\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.0915\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.1037\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.0952\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.1025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44.5486px;\" align=\"left\"\u003e\n \u003cp\u003e2.1206\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 72px;\" align=\"left\"\u003e\n \u003cp\u003eRu-N3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 42px;\" align=\"left\"\u003e\n \u003cp\u003e2.0853\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.0878\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e0.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.0848\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.0975\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.1075\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 38px;\" align=\"left\"\u003e\n \u003cp\u003e2.1270\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e0.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e0.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 46px;\" align=\"left\"\u003e\n \u003cp\u003e2.0937\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 44.5486px;\" align=\"left\"\u003e\n \u003cp\u003e2.1192\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 26px;\" align=\"left\"\u003e\n \u003cp\u003e1.2\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\u003eTheoret. = DFT-calculated data; Cryst\u0026thinsp;=\u0026thinsp;crystal data taken as the accurate data; % relative error (RE) = {(DFT Theoret. \u0026ndash; Cryst)/Cryst} \u0026times; 100.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eCytotoxicity Evaluation of Complexes against Various Cancer Subtypes\u003c/h3\u003e\n\u003cp\u003eThe antiproliferative activities of the ruthenium(II) complexes (\u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e) were evaluated against a diverse panel of human cancer cell lines, including cervical (Caski, HeLa), breast (MCF-7, T-47D, MDA-MB-231), pancreatic (CFPAC-1, PANC-1), and rhabdomyosarcoma (RH-30, RD), using the MTT assay after 48 h exposure. At 20 \u0026micro;M, all complexes displayed limited cytotoxicity, with cell viability generally exceeding 90% across all subtypes, indicating low antiproliferative activity (Figs.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e, Table S3). For instance, in MCF-7 cells, \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e maintained viability between 94\u0026ndash;97%, whereas cisplatin (CDDP) reduced viability to approximately 52%. Similar trends were observed in T-47D, MDA-MB-231, and Caski cells (90\u0026ndash;96% viability \u003cem\u003evs\u003c/em\u003e. 35\u0026ndash;65% for CDDP). Notably, pancreatic cancer cells (CFPAC-1, PANC-1) even exhibited apparent proliferation (104\u0026ndash;125% viability), further confirming the lack of growth inhibition.\u003c/p\u003e\n\u003cp\u003eThe low antiproliferative response of \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e contrasts markedly with the stronger activities reported for structurally related \u0026eta;⁶-arene Ru(II) complexes containing bis(pyrazol-1-yl)methane (bpzm) or analogous ligands. In this study, all four complexes retained cell viabilities above 88% at 20 \u0026micro;M across nine human cancer cell lines, indicating estimated IC₅₀ values exceeding 100 \u0026micro;M. By comparison, Matveevskaya \u003cem\u003eet al\u003c/em\u003e. (2021) [\u003cspan class=\"CitationRef\"\u003e66\u003c/span\u003e] reported that [Ru(\u0026eta;⁶-\u003cem\u003ep\u003c/em\u003e-cymene)(bis(pyrazol-1-yl)methane)Cl]Cl exhibited IC₅₀ = 47.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8 \u0026micro;M in MCF-7 breast cancer cells, while cisplatin in the same study showed IC₅₀ = 33.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8 \u0026micro;M, confirming the higher potency of the reference drug. Similarly, Montani \u003cem\u003eet al.\u003c/em\u003e (2016) [\u003cspan class=\"CitationRef\"\u003e42\u003c/span\u003e] demonstrated that a methyl-substituted bpzm complex, [Ru(\u0026eta;⁶-\u003cem\u003ep\u003c/em\u003e-cymene)(bis(3,5-dimethylpyrazol-1-yl)methane)Cl]Cl (UNICAM-1), induced significant tumour growth suppression in triple-negative breast cancer models, consistent with low micromolar \u003cem\u003ein vitro\u003c/em\u003e activity. More recently, Pereira \u003cem\u003eet al.\u003c/em\u003e (2023) [\u003cspan class=\"CitationRef\"\u003e13\u003c/span\u003e] and Allison \u003cem\u003eet al.\u003c/em\u003e (2023) [\u003cspan class=\"CitationRef\"\u003e71\u003c/span\u003e] reported families of arene\u0026ndash;Ru(II) derivatives, including RAPTA-like and ferrocene-substituted analogues, with IC₅₀ values ranging from 1.8 to 15 \u0026micro;M against breast cancer subtypes such as MCF-7 and MDA-MB-231. These comparative data indicate that \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e are less cytotoxic than many reported \u0026eta;⁶-arene ruthenium(II) complexes.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe weaker activity observed for \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e can be attributed to their enhanced electronic and steric stability. Methylation on the pyrazole ring (in \u003cstrong\u003eRuL3\u003c/strong\u003e and \u003cstrong\u003eRuL4\u003c/strong\u003e) slightly increases electron density at the Ru(II) center, but spectroscopic data (NMR, FTIR) reveal minimal changes in coordination geometry or donor strength. Furthermore, replacing \u003cem\u003ep\u003c/em\u003e-cymene with toluene does not significantly affect electron donation, consistent with literature showing that arene substitution primarily influences redox lability rather than ground-state structure [\u003cspan class=\"CitationRef\"\u003e61\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e65\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e71\u003c/span\u003e]. The large calculated HOMO\u0026ndash;LUMO gaps (~\u0026thinsp;4.0 eV) for \u003cstrong\u003eRuL1\u003c/strong\u003e\u0026ndash;\u003cstrong\u003eRuL4\u003c/strong\u003e correlate with their low reactivity, whereas reported active analogues possess narrower gaps (2.5\u0026ndash;3.5 eV), supporting the view that excessive stability suppresses biological activation processes such as aquation and redox cycling. Collectively, these findings emphasize a crucial structure\u0026ndash;activity relationship: fine-tuning the bpzm backbone and electronic environment of Ru(II) complexes may substantially enhance cytotoxic potency while preserving selectivity.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThis study demonstrates a clear structure\u0026ndash;activity relationship in η⁶-arene ruthenium(II) half-sandwich complexes. Crystallographic and spectroscopic analyses confirmed robust piano-stool geometries, while DFT calculations validated these structures and revealed frontier orbital distributions consistent with high electronic hardness and large HOMO\u0026ndash;LUMO gaps (~\u0026thinsp;4.0 eV). These features, only minimally affected by pyrazole methylation or arene substitution, correlate directly with the poor cytotoxicity observed (cell viability\u0026thinsp;\u0026ge;\u0026thinsp;100%).\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eCollectively, the results demonstrate that although structural and redox stability are desirable for complex integrity, excessive rigidity suppresses biological activation pathways. Effective therapeutic design will therefore require ligand architectures that balance kinetic robustness with tunable electronic flexibility, enabling charge-transfer processes and biomolecular interactions. Incorporating π-acceptor, conjugated, or moderately labile substituents into the ligand scaffold may lower ΔE, enhance MLCT efficiency, and unlock the latent cytotoxic potential of this Ru(II) arene platform.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eSupplementary Materials:\u003c/h2\u003e \u003cp\u003eYou can access the following information online.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eCRediT authorship contribution statement\u003c/strong\u003e \u003cp\u003eA.K.K. conducted the investigation, conceptualized the study, carried out the synthesis, and contributed to drafting the manuscript. A.W. performed cell viability assays, conducted data analysis, and drafting. P.O. contributed to conceptualization, provided partial funding, supervision, and review. J.O.O. involved in study conceptualization and contributed to the manuscript review. J.G. supported synthesis with partial funding and manuscript review. A.M. contributed to compound characterization, partial funding, drafting, and reviewing. S.P. provided partial funding for cell viability studies and participated in reviewing. G.S.S. contributed to cell viability studies, provided partial funding, and reviewing. R.O.O responsible for spectral characterization, and contributed to writing and reviewing. All authors have read and approved the final version of the manuscript.\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003ch2\u003e \u003cb\u003eConflicts of Interest\u003c/b\u003e:\u003c/h2\u003e \u003cp\u003eThe authors declare no competing financial or non-financial interests.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding:\u003c/h2\u003e \u003cp\u003eThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.K.K. conducted the investigation, conceptualized the study, carried out the synthesis, and contributed to drafting the manuscript. A.W. performed cell viability assays, conducted data analysis, and drafting. P.O. contributed to conceptualization, provided partial funding, supervision, and review. J.O.O. involved in study conceptualization and contributed to the manuscript review. J.G. supported synthesis with partial funding and manuscript review. A.M. contributed to compound characterization, partial funding, drafting, and reviewing. S.P. provided partial funding for cell viability studies and participated in reviewing. G.S.S. contributed to cell viability studies, provided partial funding, and reviewing. R.O.O responsible for spectral characterization, and contributed to writing and reviewing. All authors have read and approved the final version of the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgments:\u003c/h2\u003e \u003cp\u003eThe authors gratefully acknowledge the Department of Chemistry, Egerton University (Kenya) for support during the synthesis phase. Partial funding for characterization and cytotoxicity studies was provided by the School of Chemistry, University of KwaZulu-Natal, and the Departments of Chemistry and Human Biology, University of Cape Town (South Africa). The authors also acknowledge Mrs. C. J. van Rensburg for assistance with mass spectrometry and Mr. C. Grimmer for NMR analysis.\u003c/p\u003e\u003ch2\u003eData Availability Statement:\u003c/h2\u003e \u003cp\u003eThe supplementary crystallographic data for \u003cb\u003eRuL2, RuL4, RuL3\u003c/b\u003e and \u003cb\u003eRuL1\u003c/b\u003e (for Ref codes: cu_am_ro_am_1/2/6/7_0m) and CDCC Nos: 2470090, 2470091, 2470092 and 2470093, respectively can be obtained free of charge via \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.ccdc.cam.ac.uk/conts/retrieving.html\u003c/span\u003e\u003cspan address=\"http://www.ccdc.cam.ac.uk/conts/retrieving.html\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (accessed on 4th July 2025), or from the Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, UK; fax: (+\u0026thinsp;44)1223-336-033; or via email: [email protected].\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eBergamo A, Gaiddon C, Schellens J, Beijnen J, Sava G (2012) Approaching tumour therapy beyond platinum drugs: status of the art and perspectives of ruthenium drug candidates. 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Int J Mol Sci 24:11896. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.3390/ijms241511896\u003c/span\u003e\u003cspan address=\"10.3390/ijms241511896\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDom\u0026iacute;nguez-Jurado E, Ripoll C, Lara-S\u0026aacute;nchez A, Oca\u0026ntilde;a A, Vit\u0026oacute;rica-Yrez\u0026aacute;bal IJ, Bravo I, Alonso-Moreno C (2024) Evaluation of heteroscorpionate ligands as scaffolds for the generation of ruthenium(II) metallodrugs in breast cancer therapy. J Inorg Biochem 253:112486. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://10.1016/j.jinorgbio.2024.112486]\u003c/span\u003e\u003cspan address=\"https://10.1016/j.jinorgbio.2024.112486]\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAllison M, Caram\u0026eacute;s-M\u0026eacute;ndez P, Hofmann BJ, Pask CM, Phillips RM, Lord RM, McGowan PC (2023) Cytotoxicity of ruthenium(II) arene complexes containing functionalized ferrocenyl β-diketonate ligands. Organometallics 42:1869\u0026ndash;1881. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.organomet.2c00553\u003c/span\u003e\u003cspan address=\"10.1021/acs.organomet.2c00553\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Schemes","content":"\u003cp\u003eSchemes 1 and 2 are available in the Supplementary Files section\u003c/p\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":"transition-metal-chemistry","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"tmch","sideBox":"Learn more about [Transition Metal Chemistry](http://link.springer.com/journal/11243)","snPcode":"11243","submissionUrl":"https://submission.nature.com/new-submission/11243/3","title":"Transition Metal Chemistry","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"crystal structures, Density Functional Theory (DFT), arene-ruthenium(II) complexes, bis(pyrazol-1-yl)methane, cytotoxicity","lastPublishedDoi":"10.21203/rs.3.rs-8388864/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8388864/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eA series of four η⁶-arene ruthenium(II) half-sandwich complexes (\u003cb\u003eRuL1-RuL4\u003c/b\u003e) with bis(pyrazol-1-yl)methane ligands (dpzm, bdmpzm) were synthesized and characterized by FTIR, NMR, ESI-MS, elemental analysis, and single-crystal X-ray diffraction. The structures confirmed robust piano-stool geometries, with subtle effects of arene identity (\u003cem\u003ep\u003c/em\u003e-cymene \u003cem\u003evs.\u003c/em\u003e toluene) and pyrazole methylation on Ru\u0026ndash;N bond distances and chelate angles. DFT calculations (B3LYP/6-31G**//LanL2DZ) reproduced crystallographic metrics within \u0026le;\u0026thinsp;2.7% and revealed consistently large HOMO\u0026ndash;LUMO gaps (3.97\u0026ndash;4.07 eV), indicating high electronic hardness. Methylated complexes showed slightly reduced gaps, yet all remained electronically inert. Cytotoxicity assays across nine cancer cell lines (breast, cervical, pancreatic, rhabdomyosarcoma) at concentrations of 20 \u0026micro;M revealed weak antiproliferative activity (cell viability\u0026thinsp;\u0026ge;\u0026thinsp;100%), in sharp contrast to related Ru(II) scaffolds. The poor activity correlates with wide band gaps, electronic inertness, and steric shielding that limit ligand exchange and charge-transfer processes. These results underscore the importance of ligand design in tuning biological activity: incorporating π-acceptor or labile functionalities could reduce ΔE, enhance MLCT pathways, and unlock the anticancer potential of this scaffold.\u003c/p\u003e","manuscriptTitle":"Ruthenium-Arene Complexes with Bis(pyrazol-1-yl)methane Ligands: Structural, DFT Analysis, and Cytotoxicity Studies","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-23 10:35:26","doi":"10.21203/rs.3.rs-8388864/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-01-21T09:37:32+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-21T08:34:41+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-03T21:15:55+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-01T11:45:38+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"214421073086312234558255530578653332085","date":"2025-12-28T14:27:20+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-28T05:15:15+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-23T14:21:13+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"271500661668764956493025139207820260707","date":"2025-12-19T18:41:47+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"317530998079704200868463508567091525157","date":"2025-12-19T16:15:44+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"198192153060764132591334741358157153502","date":"2025-12-19T15:54:20+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"252199107109472061016761751083767897557","date":"2025-12-19T15:22:03+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-12-19T14:38:46+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-12-19T14:28:19+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-12-19T08:18:03+00:00","index":"","fulltext":""},{"type":"submitted","content":"Transition Metal Chemistry","date":"2025-12-17T19:39:14+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"transition-metal-chemistry","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"tmch","sideBox":"Learn more about [Transition Metal Chemistry](http://link.springer.com/journal/11243)","snPcode":"11243","submissionUrl":"https://submission.nature.com/new-submission/11243/3","title":"Transition Metal Chemistry","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"50d453f1-189d-466f-b734-f9981fc872e1","owner":[],"postedDate":"December 23rd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"in-revision","subjectAreas":[],"tags":[],"updatedAt":"2026-04-28T14:38:50+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-23 10:35:26","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8388864","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8388864","identity":"rs-8388864","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}