Abstract
In this study, we examine the effects of solvent media on the structural and optical behaviors of two isomers of thiazine derivatives: rac-2-(4-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H 1,3 thiazin-4-one and (2S)-2-(3-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H-1,3-thiazin-4 one. The solvent effects were modeled using the polarizable continuum model through density functional theory. Electrical parameters for rac-2-(4-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H 1,3-thiazin-4-one and (2S)-2-(3-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H-1,3-thiazin-4 one were determined using the density functional theory at the CAM-B3LYP/6-311+G(d) level. We studied the influence of isomer structures in various solvent media on the Hyper-Rayleigh-Scattering first hyperpolarizability, considering both static and dynamic scenarios. This research particularly emphasizes the implications of relocating the NO2 group from the meta-position (2S)-2-(3-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H-1,3-thiazin-4-one to the para-position rac-2-(4-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H-1,3-thiazin-4-one on molecular geometries, linear and nonlinear optical parameters, and gap energies across different solvent media. Bond dissociation energy calculations for hydrogen atoms and all other single acyclic bonds were performed for both derivatives to assess degradation and autoxidation properties. Additional insights from non-bonding orbitals, molecular electrostatic surface potential, Fukui calculations, electron localization function, and localized orbital locator are detailed.
Keywords: Hyper-Rayleigh-Scattering first hyperpolarizability; electrostatic surface potential; electron localization function; localized orbital locator
Introduction
In recent years, organic materials have garnered significant attention from the scientific community, especially in the domain of nonlinear optical (NLO) properties. Their synthetic flexibility facilitates the design and production of new materials, further enhanced by theoretical modeling.1 Unlike inorganic counterparts, organic materials, owing to their π conjugation and delocalized electronic structure, are easy to manipulate, allowing precise control over their NLO properties. They have emerged as promising candidates for studying optical nonlinearity.2-12 The demand for materials with NLO properties has surged due to their potential applications in photonics,13 spectroscopy,14 optical keys,15 ultra-fast optical communications,13 frequency converters,16 electro-optical modulators, and more.17 Thiazines and their derivatives are at the forefront, finding applications as efficient NLO materials,18,19 solar cells,20 chemical sensors,21 and organic light-emitting diodes.22,23 These derivatives are both electroactive and photoactive, suitable for molecular electronics.24,25 Moreover, thiazines have therapeutic potential, being used as bioactive groups for various disease treatments26 and in tranquilizers and insecticides.27 They also exhibit antifungal, anti-tubercular, and antidiabetic properties.28
In this study, we investigate the solvent medium effects on the optical properties of two thiazine derivative isomers, synthesized and characterized by Yennawar et al.,29 rac-2-(4-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H 1,3 thiazin-4-one (RNTP) and (2S)-2-(3-nitrophenyl)-3-phenyl-2,3,5,6-tetrahydro-4H-1,3-thiazin-4-one (SNTP). Both share the same molecular formula (C16H14N2O3S), differing only in the position of the NO2 group on the benzene ring, from para (RNTP) to meta (SNTP) positions (Figure 1). We employed the polarizable continuum model (PCM)30-38 through density functional theory (DFT) to model the solvent media. The electrical parameters, including first and second hyperpolarizabilities, total dipole moment, and average linear polarizability, were computed using DFT/CAM-B3LYP with the 6-311+G(d) basis set39-43 across multiple solvent media. Additionally, the static and dynamic Hyper-Rayleigh Scattering (HRS) first hyperpolarizability was examined based on the dielectric constant of the solvent media. This work delves into how solvent media influence the molecular geometries, linear and nonlinear optical (NLO) parameters, and gap energies of RNTP and SNTP.
Methodology
Solvent media
The electric properties of the compounds were analyzed both in the gas-phase and in various solvent media, as detailed in Table 1. We modeled the solvent media using the PCM model at DFT/B3LYP/6-311+G(d) level. Solvent media can be broadly categorized as polar (either protic or aprotic) and nonpolar.44 Solubility is inherently tied to the polarity of a solvent medium. In this study, we use the normalized transition energy scale (ETN) defined by Dimroth and Reichardt45 to quantify the concept of polarity. The ETN-value is determined by the transition energy for the solvatocromic absorption band of the longest wavelength of the dye pyridinium N-phenolate betaine, as presented in Table 2. Any solvent with a dielectric constant (ε) below 5 is categorized as nonpolar.
Solvent medium parameters: normalized transition energy scale (ETN), static dielectric constant (ε) and classification as protic or aprotic46
Molecular structure analysis
The optimized geometries of the RNTP and SNTP molecules, both in the gas phase and in different solvent media, were assessed using the root mean square deviation (RMSD). This compared the overlap between the crystalline structure determined by X-ray and those in the presence of solvent media. Additionally, angles and torsion angles were analyzed across all solvent media to understand the impact of the NO2 group’s positional shift on these structural parameters.
Frontiers molecular orbital
Using DFT/CAM-B3LYP/6-311+G(d), we determined the energies of the frontier molecular orbitals, HOMO (highest occupied molecular orbital) and LUMO (lowest unoccupied molecular orbital). The stability of the compounds RNTP and SNTP in solvent media correlates with the energy gap, defined as the difference between HOMO (electron donor) and LUMO (electron acceptor) energies. The propensity of a compound to donate or accept electrons is linked to the magnitudes of these energies.47
NBO, MESP, ELF and LOL methods
We employed the NBO 7.0 program48 for Natural Bond Orbital (NBO) analysis using the 6-311+G(d) basis set, facilitated by the Gaussian software.49 This provides an optimal foundation for analyzing Lewis-type NBOs (donors) and non-Lewis NBOs (acceptors) within a system. The NBO method allows for the examination of hyperconjugative interactions arising from electron transfers from filled bonding (donor) orbitals to vacant antibonding (acceptor) orbitals and gauging their energetic significance. Additionally, we carried out molecular electrostatic surface potential (MESP) and bond dissociation energy calculations using the DFT/CAM-B3LYP/6-311+G(d) method.50-52 The Electron Localization Function (ELF) and Localized Orbital Locator (LOL) calculations and analyses were performed with the Multiwfn program.53 For calculating the Fukui function, hardness, and softness, we utilized the UCA-FUKUI program,54 which accepts Gaussian files as inputs.
Nonlinear optical properties
The electrical parameters of the thiazine derivatives studied here were calculated at DFT/CAM-B3LYP/6-311+G(d) level of theory. The dipole moment and the linear polarizability were calculated using the equations,
where µ is total dipole moment of the molecule and µx, µy, µz; are the components of the dipole moment in the x, y, and z directions, respectively.
where 〈α〉 is average linear polarizability of the molecule and αxx, αyy, αzz; are the linear polarizability components along the x, y, and z axes, respectively.
The total first hyperpolarizability is given by,
where βtot is the total first hyperpolarizability of the molecule and the βx, βy, βz are components of the first hyperpolarizability in the x, y, and z directions, respectively.
The individual component (βi) of the first hyperpolarizability. The mixed derivatives of the polarizability (βijj, βjij, βjji), indicating the change in polarizability due to the application of an electric field in different directions.
The Hyper-Rayleigh Scattering (HRS) is an experimental method used to measure the first hyperpolarizability in solution. The HRS method gives details of the nonlinear optical properties at the molecular level.55 The HRS first hyperpolarizability (βHRS) is defined by,
where and are macroscopic means of Hyper-Rayleigh Scattering, which are calculated through the components (βijk) of the first hyperpolarizability35 as follows,
where the δn coefficients are defined in Table 2.
The average second hyperpolarizability 〈γ〉 is given by,
The components γiijj, γijji, γijij of the second hyperpolarizability tensor represent different ways the electric field can interact with the molecule to induce a nonlinear optical response.
Using the Kleymann symmetry, for the static case the 〈γ〉-value can be written through in the following expression,
The terms γxxxx, γyyyy and γzzzz represent the second hyperpolarizability components when the electric field is applied four times along the same axis (x, y, or z, respectively). Meanwhile, γxxyy, γxxzz and γyyzz are mixed second hyperpolarizability components, where the electric field is applied twice in one direction and twice in another.
The Gaussian 0949 computational package was used to perform all the calculations. The selection of the B3LYP56-59 functional for geometry optimization and the CAM-B3LYP60 functional for investigating non-linear optical properties is a strategic decision, reflecting the distinct strengths inherent to each functional. B3LYP is renowned for its efficiency and reliability in yielding precise molecular geometries. In contrast, CAM-B3LYP is advantageous in the characterization of phenomena involving excited states and long-range interactions, which are pivotal in the study of non-linear optical properties.61
In the literature,62 the utilization of CAM-B3LYP is detailed for examining the non-linear optical properties of photochromic materials. This exemplifies the functional’s pertinence for such inquiries. Notably, in the same study, geometry optimization is conducted using the B3LYP level of theory, underscoring its application in achieving optimized molecular configurations.
Results and Discussion
Solvent medium effects on the geometric properties of the compounds
We studied the solvent medium effects on the molecular properties of RNTP and SNTP using the PCM through DFT at the B3LYP/6-311+G(d) level. Nineteen solvent media (with dielectric constants, ε, ranging from 1.43 to 181.56) and the gas-phase (ε = 1) were included in the calculations.
Table S1 in the Supplementary Information (SI) section presents the RMSD values, highlighting the overlap between the X-ray-determined crystal structure (Figure 1) and those obtained in various solvent media for RNTP and SNTP. The table also features the RMSD results for the gas phase. For RNTP, the RMSD values range from 0.3316 in the gas phase to 0.3154 in n-methylformamide-mixture, with maximal atomic distances of 0.7311 and 0.6607 Å, respectively. In contrast, for SNTP, the RMSD values span from 0.2893 in n-methylformamide-mixture to 0.2388 in the gas phase, accompanied by maximum atomic distances of 0.5669 and 0.4327 Å, respectively. Figure 2 delineates the evolution of the RMSD values for RNTP and SNTP in relation to the static dielectric constant (ε) of the solvent media. For SNTP, the RMSD values increase consistently with a rise in the ε-value. However, for RNTP, RMSD values decline with increasing ε-values up to ε = 40. Beyond ε = 40, there is subtle oscillation observed in the RMSD values. This differential trend in RMSD as a function of ε can be attributed to the shift of the NO2 group from the para-position (in RNTP) to the meta-position (in SNTP) on the benzene ring, as visualized in Figure 1.
Figure 3 shows the overlap between the asymmetric unit of the crystal and the optimized geometry in formamide for RNTP and SNTP, the anchorage point is the benzene ring.
Overlap between the X-ray determined geometry and the optimized geometry in formamide for (a) RNTP and (b) SNTP.
The presence of the solvent medium affects the molecular geometry of the compounds. This effect is evident in the changes in specific angles: N1—C11—C12, N1—C2—O1, S1—C1—C5, O3—N2—C8, and O3—N2—C7 across various solvent media, as documented in Table S2 (SI section). When juxtaposing the X-ray determined angles with those procured in different solvent media, the disparities are generally within a 2% range. Nonetheless, the torsion angles exhibit pronounced variations when exposed to different solvent media, as delineated in Table S3 (SI section). A detailed examination of Table S3 reveals that SNTP, especially, undergoes substantial torsion angle shifts in the presence of solvent media. A case in point is the N1—C1—S1—C4 torsion angle, which shifts from an X-ray value of —59.3 to —46.1° in n-methylformamide-mixture, marking a percentage change of 29%.
Gap energies
Figure S3 (SI section) illustrates the variations in gap energies derived from the differences between the HOMO and LUMO energies for RNTP and SNTP across various solvent media and the gas-phase. There is a noticeable trend: as the dielectric constant (ε-value) of the solvent medium rises, the gap energy diminishes for both compounds. Specifically, the smallest recorded gap energies for RNTP and SNTP are 3.90 and 3.64 eV, respectively, both observed in n-methylformamide-mixture. In contrast, the peak values in the gas phase are 4.12 eV for RNTP and 3.98 eV for SNTP. For a comprehensive breakdown, one can consult Table S4 in the SI section. Intriguingly, all identified gap energies across these solvent media fall within the ultraviolet spectrum. Moving on, Figure S4 (SI section) offers a visual portrayal of the HOMO and LUMO frontier molecular orbitals, specifically for RNTP in formamide and SNTP in n-methyl formamide-mixture.
Natural Bond Orbital (NBO) analysis
The NBO 7.0 program48,53 was used for NBO analysis at 6-311G+(d) basis set, which is executed in Gaussian software which offers a suitable basis for analysis of Lewis-type NBOs (donor) and non-Lewis NBOs (acceptor) interactions in a system. The larger the stabilization energy value E(2), revealed the most effective filled and empty interactions. The perturbation energy values of the important Lewis-type NBOs (donor) and non-Lewis NBOs (acceptor) interactions are tabulated in Tables S5 and S6 (SI section).
For the molecule RNTP, the very strong interaction n3O2→π*(N2-O3) has the highest E(2) value, 164 kcal mol 1, strong interactions have been in n1N1→ π*(C2-O1) and n2O1→σ*(C2-N1) with energies of 42.26 and 26.85 kcal mol-1 respectively. Tables S7 and S8 (SI section) give the occupancy of electrons and p-character37 in significant NBO natural atomic hybrid orbital. Almost 100% p-character was observed in π-bonding of C2—O1, C5—C6, C11—C12, N2—03 and the lone pairs of n1N1, n2O1, n2O2, n3O2, n2O3 and n2S1.
For the molecule, SNTP the very strong interaction n3O2→π*(N2-O3) has the highest E(2) value, 163.37 kcal mol-1, strong interactions have been in n1N1→(C2-O1) and n2O1→σ*(C2-N1) with the energies of 38.81 and 26.76 kcal mol-1 respectively. Almost 100% p-character was observed in π-bonding of C2—O1, C5—C6, C11—C12, N2—03 and the lone pairs of n1N1, n2O1, n2O3, n3O2, n2O2 and n2S1.
The interactions, n3O2→π*(N2-O3) = 164 kcal mol-1 (SNTP) and n3O2→π*(N2-O3) = 163.37 kcal mol-1 (RNTP) are expected due to resonance effect within the nitro group. Other interactions, n1N1→ π*(C2-O1) = 42.26 (SNTP) and n1N1→(C2-O1) = 38.81 kcal mol-1 (RNTP) are due to lone pair of electrons on the nitrogen atom is delocalized into the carbonyl group. The afore mentioned interactions lead to a high degree of stabilization of the title molecules.
Local reactivity properties analysis
The three-dimensional rainbow color-coded depiction of molecular electrostatic surface potential (MESP) for RNTP and SNTP is illustrated in Figures S1 and S2, as provided in the SI section. This quantum chemical phenomenon, which is based on electron density, offers insights into reactive sites, hydrogen bonding, and biological activity. Electron-rich regions, depicted in red, are susceptible to electrophilic attacks, whereas electron-poor regions, shown in blue, are prone to nucleophilic attacks. To predict the specific areas of a molecule vulnerable to electrophilic, nucleophilic, and radical attacks, scientists employ the Fukui function. Introduced by Parr and Yang,63 in 1984, this function considers the addition or removal of electrons, accounting for variations in charge and multiplicity. The calculations for the Fukui function are based on the following equations:
If N signifies the total of electrons, then N + 1 relates to an anion and N —1 relates to the cation of the molecule.64 The calculations are performed at the ground state by using the B3LYP/6-311+G(d) level of theory.
Dual descriptor proposed by Morell et al.65 represent with a symbol Δf(r), which is obtained as the contrast between the nucleophilic (f+) and electrophilic (f-) Fukui function is represented by:
Δf(r) values are represented with Δf(r) < 0 (negative, — ve) symbol indicates the electrophilic attack and Δf(r) > 0 (positive, + ve) symbol indicates the nucleophilic attack.
From the molecular electrostatic surface potential and dual-descriptor Δf(r) analysis (Tables S9 and S10, SI section) we observed that the region which is more prone to the electrophilic attack (which is denoted with red color on MESP and Δf(r) negative value) was around the S1 = —0.2648, O1 = —0.1434 and N1 = —0.1201 (RNTP); S1 = —0.2003, O1 = —0.1446 and N1 = —0.1686 (SNTP). While N2 = 0.2579 (RNTP) and N2 = 0.2762 (SNTP) susceptible towards nucleophilic attack and has Δf(r) positive value.
Electron Localization Function (ELF) and Localized Orbital Locator (LOL)
In a molecular, or atomic, system the estimation of localization of electrons and localized electron cloud have been studied through the ELF and LOL approach based on the kinetic energy density, helpful for characterizing chemical bonds.66-69 The two-dimensional graphical representations of the color filled and counter maps of ELF and LOL for RNTP and SNTP are shown in Figures 4 and 5.
Electron Localization Function (ELF) color filled and contour map of SNTP (a) and RNTP (b) molecules.
Localized Orbital Locator (LOL) color filled and contour map of SNTP (a) and RNTP (b) molecules.
Color-filled ELF plots are displayed using a rainbow color scheme. Here, the red color represents maximum Pauli repulsion, with a value of 1, and is predominantly seen over hydrogen atoms. In contrast, the blue color, signifying a minimum with a value of 0, is observed over oxygen, sulfur, nitrogen, and carbon atoms. In the color-filled LOL plots utilizing the same rainbow scheme, covalent regions are depicted in red and are associated with a value of 1. Meanwhile, the regions showcasing electron depletion between the valence shell and the inner shell are represented in blue, indicating a value of 0.12
Sensitivity towards autoxidation
Calculation of hydrogen-bond dissociation energy (H-BDE) and bond dissociation energy (BDE) values plays a great role in the field of pharmaceutical drug development due to the below mentioned reasons. Namely, the C—H bonds were cleaved in phase I drug metabolism through the hydroxylation process.70,71 Another one, the calculations of the H-BDE and BDE allow the assessment of the possibility of a drug candidate to give deterioration products while being put away.72,73 Calculation of H-BDE and BDE values are very important from both therapeutic and environmental aspects, the calculations, we have carried out are denoted in Figure S5 (SI section). From literature,70,74 studies revealed that H-BDE values between 70-85 kcal mol-1 were sensitivity towards the autooxidation process.
The H-BDE values are greater than 85 kcal mol-1 for the present investigated compounds RNTP and SNTP, which showed that could not be subtle towards the autoxidation process. BDE values are calculated for all the single acyclic bonds for the investigated compounds, and the results revealed that the deterioration could start precisely by cleavage of C8—N2 bond for RNTP (BDE value for C8—N2 bond 65.88 kcal mol-1) and C7—N2 bond for SNTP (BDE value for C7—N2 bond 65.88 kcal mol-1).
Non-linear optical parameters
In this section, we examine the impact of solvent media on the electrical parameters of RNTP and SNTP. To understand how solvents influence the electrical properties of RNTP and SNTP, we analyzed the electrical charges in atoms in both the gas phase and solvent medium. This analysis employed the PCM method and the CHELPG electrostatic model, calculated via DFT (CAM-B3LYP/6-311+G(d)). Detailed findings are presented in Tables S11 and S12 (SI section).
Figure 6 presents the dipole moment (µ) as a function of the static dielectric constant of various solvent media. For both compounds, the µ-value increases with the rise in the ε-value. From argon to n-methylformamide-mixture, the percentage increase in µ-value is more pronounced for RNTP (24.6%) than for SNTP (16.1%). For both compounds, when ε ≥ 40, the dipole moment approaches saturation.
In formamide, RNTP exhibits a dipole moment 67.47% higher than SNTP in the same solvent. This disparity can be attributed to the following: the total charge of the group (C5—H10—C10—C9—H9—C8—H7—C7—C6—H6—N2—O2—O3) is 0.0971e for RNTP and 0.1031e for SNTP. Meanwhile, for the group (C2—C3—H3B—H4B—H3A—H4A—C4—S1—C1—H1—N1—O1), the total charge is —0.3534e for RNTP and —0.3500e for SNTP. RNTP has a more substantial charge separation than SNTP, which directly impacts the total dipole moment.
The results for the electrical properties average linear polarizability (〈α(0; 0)〉), first hyperpolarizability parallel to dipole moment (β||z(0; 0,0)) and the average second hyperpolarizability (〈γ(0; 0,0,0,)〉) as function of the ε-value are shown in the Figure 7. As can be seen, all the functions for both compounds show a monotonic increase in the electric parameter with the increasing dielectric constant, and a saturation for high ε-values (ε ≥ 40). The percentage increase of the average linear polarizability and of the average second hyperpolarizability for RNTP and SNTP are similar ca. 31 and 39% for 1.43 < ε < 181.56. However, the absolute value of β||z(0; 0,0) for RNTP presents an increasing of 452% (from 0.23 × 10-30 esu to 1.27 × 1030 esu), and of 170% (from 1.10 × 10-30 esu to 2.97 × 10-30 esu) for SNTP.
Static electric parameters for the RNTP and SNTP as function of the dielectric constant of the solvent medium.
Figure 8 shows the results for βHRS as function of the frequency (0.0 < ω < 0.10 a.u.) of the electric field for only four solvent media namely, formamide (ε = 108.94), water (ε = 78.36), chloroform (ε = 4.71), and DMSO (ε = 46.83). From Figure 6 can be seen that the resonant frequencies regions for the compounds occur for ω > 0.08 a.u., thus we will work away from the resonance region, that is, we will work with ω = 0.0428 a.u.
Dynamic HRS first hyperpolarizability as function of the electric field frequency (a.u.) in some solvent media.
Tables S13 and S14 (SI section) show the βHRS-values for RNTP and SNTP in several solvent media. Particularly in formamide, the obtained values for the RNTP (SNTP) in the cases static and dynamic with ω = 0.0428 a.u. were and , respectively. The of the compound RNTP in the solvent formamide presents the highest value among all the solvents for the frequency ω = 0.0428 a.u. and this can be explained because in this solvent we have the lowest gap energy value (see Figure S3, SI section).
The ratio between for RNTP and the βHRS for SNTP (named βHRS-ratio) as function of the dielectric constant of the solvent medium is shown in Figure S6 (SI section), in both cases, static and dynamic (ω = 0.0428 a.u.).
The change of the NO2 group from the meta-position (SNTP) to the para-position (RNTP) at the benzene ring (Figure 1) influences significantly the NLO responses of the compounds. As can be seen in Figure S6, the ratio between the HRS hyperpolarizability of RNTP and SNTP is always greater than the unit, and βHRS-ratio-value increases (decreases) with the increasing of the ε-value for the dynamic (static) case for ε ≤ 108.94 (formamide).
The βHRS-values at ω = 0.0428 a.u. for RNTP and SNTP in chloroform are 1.06 times and 0.64 times the value for p-nitroaniline (pNA), that is a molecule commonly used as the external reference ().51
Conclusions
In this study, the effects of solvent media on the structural, linear, and nonlinear optical properties of two isomeric thiazine derivatives, RNTP and SNTP, were explored. The distinguishing feature between these molecules is the positioning of the NO2-group on the benzene ring: either in the para-position or meta-position. Using PCM/DFT theory, the optimized molecular structures of these compounds were simulated in various solvent media.
We assessed the congruence between X-ray coordinates and optimized coordinates in the solvent medium using the RMSD method. Energy values from hydrogen bond dissociation showed that both SNTP and RNTP molecules resist autoxidation. However, the low bond dissociation energy for the C—N bond suggests that the degradation mechanism may initiate with this bond’s cleavage. According to MESP and the Fukui dual-descriptor, the most likely centers for electrophilic attack are the carbonyl oxygen (O1), sulfur (S1), and nitrogen atoms (N1).
DFT/CAM-B3LYP/6-311+G(d) results indicate that static electrical parameters for both compounds in various solvents increase as the dielectric constant of the solvents rises. While the static values of the dipole moment, average linear polarizability, and average second hyperpolarizability for RNTP surpass those for SNTP, SNTP has higher values for parallel first hyperpolarizability.
Additionally, an analysis was conducted on the first hyperpolarizability of both the static and dynamic Hyper-Rayleigh Scattering (HRS) concerning the dielectric constant of the solvent. RNTP values consistently exceeded those for SNTP across all solvents. Thus, relocating the NO2-group from para-position to meta-position in the compounds notably influences their optical properties, and this shift is modulated by the properties of the solvent medium. From a structural perspective, the most noticeable modification in molecules immersed in solvent media pertains to the torsion angles of SNTP. This modification carries an impact on the optical properties of the compound.
Supplementary Information
Supplementary information is available free of charge at http://jbcs.sbq.org.br as PDF file.
Acknowledgments
The authors would like to thank the following Brazilian agencies for financial support: Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento Pessoal de Nível Superior (CAPES); Pró-reitoria de Pesquisa e Pós-Graduação da PUC-GO (Prope) and Fundação de Apoio à Pesquisa do Estado de Goiás (FAPEG). Research developed with support of the High-Performance Computing Center at the Universidade Estadual de Goiás (UEG).
References
-
1 Jothi, L.; Vasuki, G.; Babu, R. R.; Ramamurthi, K.; Optik 2014, 125, 2017. [Crossref]
» Crossref -
2 Valverde, C.; Osório, F. A. P.; Fonseca, T. L.; Baseia, B.; Chem. Phys. Lett. 2018, 706, 170. [Crossref]
» Crossref -
3 Srivastava, R.; Al-Omary, F. A. M.; El-Emam, A. A.; Pathak, S. K.; Karabacak, M.; Narayan, V.; Chand, S.; Prasad, O.; Sinha, L.; J. Mol. Struct. 2017, 1137, 725. [Crossref]
» Crossref -
4 Manivannan, S.; Tiwari, S. K.; Dhanuskodi, S.; Solid State Commun. 2004, 132, 123. [Crossref]
» Crossref -
5 Nayak, S. K.; Kore, R.; Ahmed, M. S.; Verma, P.; Vallavoju, R.; Banerjee, D.; Pola, S.; Soma, V. R.; Chetti, P.; Raavi, S. S. K.; Opt. Mater. 2023, 137, 113603. [Crossref]
» Crossref -
6 Santos, F. A.; Cardoso, C. E. R.; Rodrigues, J. J.; De Boni, L.; Abegão, L. M. G.; Photonics 2023, 10, 545. [Crossref]
» Crossref -
7 Nath, S.; Puthukkudi, A.; Mohapatra, J.; Biswal, B. P.; Angew. Chem. 2023, 135, e202218974. [Crossref]
» Crossref -
8 Alagumalai, A.; Sahu, S. S.; Lourderaj, U.; Vijayasayee, S. M.; Krishnamoorthy, A.; Thangavelu, S. A. G.; New J. Chem. 2023, 47, 17951. [Crossref]
» Crossref -
9 El-Khouly, M. E.; Kobaisy, A. M.; Ahmed, H.; El-Hendawy, M. M.; Ghali, M.; El-Said, W. A.; Al-Bogami, A. S.; Mohamed, T.; Opt. Quantum Electron. 2023, 55, 941. [Crossref]
» Crossref -
10 Borges, I. D.; Danielli, J. A. V.; Silva, V. E. G.; Sallum, L. O.; Queiroz, J. E.; Dias, L. D.; Iermak, I.; Aquino, G. L. B.; Camargo, A. J.; Valverde, C.; Osório, F. A. P.; Baseia, B.; Napolitano, H. B.; RSC Adv. 2020, 10, 22542. [Crossref]
» Crossref -
11 Custodio, J. M. F.; Santos, F. G.; Vaz, W. F.; Cunha, C. E. P.; Silveira, R. G.; Anjos, M. M.; Campos, C. E. M.; Oliveira, G. R.; Martins, F. T.; da Silva, C. C.; Valverde, C.; Baseia, B.; Napolitano, H. B.; J. Mol. Struct. 2018, 1157, 210. [Crossref]
» Crossref -
12 Potla, K. M.; Poojith, N.; Osório, F. A. P.; Valverde, C.; Chinnam, S.; Suchetan, P. A.; Vankayalapati, S.; J. Mol. Struct. 2020, 1210, 128070. [Crossref]
» Crossref -
13 Lu, L.; Liang, Z.; Wu, L.; Chen, Y.; Song, Y.; Dhanabalan, S. C.; Ponraj, J. S.; Dong, B.; Xiang, Y.; Xing, F.; Fan, D.; Zhang, H.; Laser Photonics Rev. 2018, 12, 1700221. [Crossref]
» Crossref -
14 Luo, M.; Liang, F.; Song, Y.; Zhao, D.; Xu, F.; Ye, N.; Lin, Z.; J. Am. Chem. Soc. 2018, 140, 3884. [Crossref]
» Crossref -
15 Nakano, M.; Chem. Rec. 2017, 17, 27. [Crossref]
» Crossref -
16 Shi, G.; Wang, Y.; Zhang, F.; Zhang, B.; Yang, Z.; Hou, X.; Pan, S.; Poeppelmeier, K. R.; J. Am. Chem. Soc. 2017, 139, 10645. [Crossref]
» Crossref -
17 Mendonça, C. R.; Misoguti, L.; Dall’ Agnol, F. F.; Zilio, S. C.; Rev. Bras. Ensino Fis. 1999, 2, 272. [Crossref]
» Crossref -
18 Vipin Das, K. G.; Yohannan Panicker, C.; Narayana, B.; Nayak, P. S.; Sarojini, B. K.; Al-Saadi, A. A.; Spectrochim. Acta, Part A 2015, 135, 162. [Crossref]
» Crossref -
19 Moustafa, H.; Elshakre, M. E.; Elramly, S.; J. Mol. Struct. 2017, 1136, 25. [Crossref]
» Crossref -
20 Wong, W.-Y.; Chow, W.-C.; Cheung, K.-Y.; Fung, M.-K.; Djurišić, A. B.; Chan, W.-K.; J. Organomet. Chem. 2009, 694, 2717. [Crossref]
» Crossref -
21 Hauck, M.; Schönhaber, J.; Zucchero, A. J.; Hardcastle, K. I.; Müller, T. J. J.; Bunz, U. H. F.; J. Org. Chem. 2007, 72, 6714. [Crossref]
» Crossref -
22 Kim, G. W.; Cho, M. J.; Yu, Y.-J.; Kim, Z. H.; Jin, J.-I.; Kim, D. Y.; Choi, D. H.; Chem. Mater. 2007, 19, 42. [Crossref]
» Crossref -
23 Cho, N. H.; Jang, H. C.; Park, H. K.; Cho, Y. W.; Diabetes Res. Clin. Pract. 2006, 71, 177. [Crossref]
» Crossref -
24 Sailer, M.; Nonnenmacher, M.; Oeser, T.; Müller, T. J. J.; Eur. J. Org. Chem. 2006, 2006, 423. [Crossref]
» Crossref -
25 Sailer, M.; Franz, A. W.; Müller, T. J. J.; Chem. - Eur. J. 2008, 14, 2602. [Crossref]
» Crossref -
26 Sadigh, M. K.; Zakerhamidi, M. S.; Opt. Laser Technol. 2018, 100, 216. [Crossref]
» Crossref -
27 Bolotin, P. A.; Baranovsky, S. F.; Evstigneev, M. P.; Spectrochim. Acta, Part A 2006, 64, 693. [Crossref]
» Crossref -
28 Mooibroek, T. J.; Gamez, P.; Inorg. Chim. Acta 2007, 360, 381. [Crossref]
» Crossref -
29 Yennawar, H. P.; Bradley, H. G.; Perhonitch, K. C.; Reppert, H. E.; Silverberg, L. J.; Acta Crystallogr., Sect. E: Crystallogr. Commun. 2018, 74, 454. [Crossref]
» Crossref -
30 Miertuš, S.; Scrocco, E.; Tomasi, J.; Chem. Phys. 1981, 55, 117. [Crossref]
» Crossref -
31 Miertuš, S.; Tomasi, J.; Chem. Phys. 1982, 65, 239. [Crossref]
» Crossref -
32 Pascual-ahuir, J. L.; Silla, E.; Tuñon, I.; J. Comput. Chem. 1994, 15, 1127. [Crossref]
» Crossref -
33 Tomasi, J.; Persico, M.; Chem. Rev. 1994, 94, 2027. [Crossref]
» Crossref -
34 Cancès, E.; Mennucci, B.; Tomasi, J.; J. Chem. Phys. 1997, 107, 3032. [Crossref]
» Crossref -
35 Cossi, M.; Barone, V.; Mennucci, B.; Tomasi, J.; Chem. Phys. Lett. 1998, 286, 253. [Crossref]
» Crossref -
36 Tomasi, J.; Cammi, R.; Mennucci, B.; Cappelli, C.; Corni, S.; Phys. Chem. Chem. Phys. 2002, 4, 5697. [Crossref]
» Crossref -
37 Tomasi, J.; Theor. Chem. Acc. 2004, 112, 184. [Crossref]
» Crossref -
38 Tomasi, J.; Mennucci, B.; Cammi, R.; Chem. Rev. 2005, 105, 2999. [Crossref]
» Crossref -
39 Krishnan, R.; Binkley, J. S.; Seeger, R.; Pople, J. A.; J. Chem. Phys. 1980, 72, 650. [Crossref]
» Crossref -
40 Clark, T.; Chandrasekhar, J.; Spitznagel, G. W.; Schleyer, P. V. R.; J. Comput. Chem. 1983, 4, 294. [Crossref]
» Crossref -
41 Feller, D.; J. Comput. Chem. 1996, 17, 1571. [Crossref]
» Crossref -
42 Schuchardt, K. L.; Didier, B. T.; Elsethagen, T.; Sun, L.; Gurumoorthi, V.; Chase, J.; Li, J.; Windus, T. L.; J. Chem. Inf. Model. 2007, 47, 1045. [Crossref]
» Crossref -
43 Pritchard, B. P.; Altarawy, D.; Didier, B.; Gibson, T. D.; Windus, T. L.; J. Chem. Inf. Model. 2019, 59, 4814. [Crossref]
» Crossref -
44 Hoffmann, A.; Leininger, S.; Regitz, M.; J. Organomet. Chem. 1997, 539, 61. [Crossref]
» Crossref -
45 Reichardt, C.; Chem. Rev 1994, 94, 2319. [Crossref]
» Crossref -
46 Valverde, C.; Batista Soares, J. V.; Duarte da Silva, A.; Vieira da Luz, B.; Almeida dos Santos, D. J.; Barbosa Carvalho, E. G.; Monteiro Oliveira, Y. C.; Barbosa Napolitano, H.; Baseia, B.; Pinto Osório, F. A.; Rev. Colomb. Quim. 2020, 49, 33. [Crossref]
» Crossref -
47 Wang, S. R.; Arrowsmith, M.; Böhnke, J.; Braunschweig, H.; Dellermann, T.; Dewhurst, R. D.; Kelch, H.; Krummenacher, I.; Mattock, J. D.; Müssig, J. H.; Thiess, T.; Vargas, A.; Zhang, J.; Angew. Chem., Int. Ed. 2017, 56, 8009. [Crossref]
» Crossref -
48 Glendening, E. D.; Landis, C. R.; Weinhold, F.; J. Comput. Chem. 2019, 1, 25873. [Crossref]
» Crossref -
49 Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Mennucci, B.; Petersson, G. A.; Nakatsuji, H.; Caricato, M.; Li, X.; Hratchian, H. P.; Izmaylov, A. F.; Bloino, J.; Zheng, G.; Sonnenberg, J. L.; Hada, M.; Ehara, M.; Toyota, K.; Fukuda, R.; Hasegawa, J.; Ishida, M.; Nakajima, T.; Honda, Y.; Kitao, O.; Nakai, H.; Vreven, T.; Montgomery, J. A.; Peralta, J. E.; Ogliaro, F.; Bearpark, M.; Heyd, J. J.; Brothers, E.; Kudin, K. N.; Staroverov, V. N.; Keith, T.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Rega, N.; Millam, J. M.; Klene, M.; Knox, J. E.; Cross, J. B.; Bakken, V.; Adamo, C.; Jaramillo, J.; Gomperts, R.; Stratmann, R. E.; Yazyev, O.; Austin, A. J.; Cammi, R.; Pomelli, C.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Zakrzewski, V. G.; Voth, G. A.; Salvador, P.; Dannenberg, J. J.; Dapprich, S.; Daniels, A. D.; Farkas, O.; Foresman, J. B.; Ortiz, J. V; Cioslowski, J.; Fox, D. J.; Montgomery Jr., J. A.; Peralta, J. E.; Ogliaro, F.; Bearpark, M.; Heyd, J. J.; Brothers, E.; Kudin, K. N.; Staroverov, V. N.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Rega, N.; Millam, J. M.; Klene, M.; Knox, J. E.; Cross, J. B.; Bakken, V.; Adamo, C.; Jaramillo, J.; Gomperts, R.; Stratmann, R. E.; Yazyev, O.; Austin, A. J.; Cammi, R.; Pomelli, C.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Zakrzewski, V. G.; Voth, G. A.; Salvador, P.; Dannenberg, J. J.; Dapprich, S.; Daniels, A. D.; Farkas, Ö.; Foresman, J. B.; Ortiz, J. V.; Cioslowski, J.; Fox, D. J.; Gaussian, Revision 09, Gaussian Inc., Wallingford, CT, USA, 2013. [Crossref]
» Crossref -
50 Custodio, J. M. F.; Ternavisk, R. R.; Ferreira, C. J. S.; Figueredo, A. S.; Aquino, G. L. B.; Napolitano, H. B.; Valverde, C.; Baseia, B.; J. Phys. Chem. A 2019, 123, 153. [Crossref]
» Crossref -
51 Custodio, J. M. F.; D’Oliveira, G. D. C.; Gotardo, F.; Cocca, L. H. Z.; de Boni, L.; Perez, C. N.; Napolitano, H. B.; Osorio, F. A. P.; Valverde, C.; Phys. Chem. Chem. Phys. 2021, 23, 6128. [Crossref]
» Crossref -
52 Custodio, J. M. F.; Moreira, C. A.; Valverde, C.; de Aquino, G. L. B.; Baseia, B.; Napolitano, H. B.; J. Braz. Chem. Soc. 2017, 29, 257. [Crossref]
» Crossref -
53 Lu, T.; Chen, F.; J. Comput. Chem. 2012, 33, 580. [Crossref]
» Crossref -
54 Sánchez-Márquez, J.; Zorrilla, D.; Sánchez-Coronilla, A.; de los Santos, D. M.; Navas, J.; Fernández-Lorenzo, C.; Alcántara, R.; Martín-Calleja, J.; J. Mol. Model. 2014, 20, 2492. [Crossref]
» Crossref -
55 Bersohn, R.; Pao, Y.; Frisch, H. L.; J. Chem. Phys. 1966, 45, 3184. [Crossref]
» Crossref -
56 Becke, A. D.; J. Chem. Phys. 1993, 98, 5648. [Crossref]
» Crossref -
57 Lee, C.; Yang, W.; Parr, R. G.; Phys. Rev. B 1988, 37, 785. [Crossref]
» Crossref -
58 Vosko, S. H.; Wilk, L.; Nusair, M.; Can. J. Phys. 1980, 58, 1200. [Crossref]
» Crossref -
59 Stephens, P. J.; Devlin, F. J.; Chabalowski, C. F.; Frisch, M. J.; J. Phys. Chem. 1994, 98, 11623. [Crossref]
» Crossref -
60 Yanai, T.; Tew, D. P.; Handy, N. C.; Chem. Phys. Lett. 2004, 393, 51. [Crossref]
» Crossref -
61 Valverde, C.; Medeiros, R.; Franco, L. R.; Osório, F. A. P.; Castro, M. A.; Fonseca, T. L.; Sci. Rep. 2023, 13, 8616. [Crossref]
» Crossref -
62 Sutradhar, T.; Misra, A.; RSC Adv. 2020, 10, 40300. [Crossref]
» Crossref -
63 Yang, W.; Parr, R. G.; Pucci, R.; J. Chem. Phys. 1984, 81, 2862. [Crossref]
» Crossref -
64 Kolandaivel, P.; Praveena, G.; Selvarengan, P.; J. Chem. Sci. 2005, 117, 591. [Crossref]
» Crossref -
65 Morell, C.; Grand, A.; Toro-Labbé, A.; J. Phys. Chem. A 2005, 109, 205. [Crossref]
» Crossref -
66 Becke, A. D.; Edgecombe, K. E.; J. Chem. Phys. 1990, 92, 5397. [Crossref]
» Crossref -
67 Poater, J.; Duran, M.; Solà, M.; Silvi, B.; Chem. Rev. 2005, 105, 3911. [Crossref]
» Crossref -
68 Silvi, B.; Savin, A.; Nature 1994, 371, 683. [Crossref]
» Crossref -
69 Jacobsen, H.; Can. J. Chem. 2008, 86, 695. [Crossref]
» Crossref -
70 Drew, K. L. M.; Reynisson, J.; Eur. J. Med. Chem. 2012, 56, 48. [Crossref]
» Crossref -
71 Ortiz de Montellano, P. R.; Chem. Ver. 2010, 110, 932. [Crossref]
» Crossref -
72 Andersson, T.; Broo, A.; Evertsson, E.; J. Pharm. Sci. 2014, 103, 1949. [Crossref]
» Crossref -
73 Lienard, P.; Gavartin, J.; Boccardi, G.; Meunier, M.; Pharm. Res. 2015, 32, 300. [Crossref]
» Crossref -
74 Gryn’ova, G.; Hodgson, J. L.; Coote, M. L.; Org. Biomol. Chem. 2011, 9, 480. [Crossref]
» Crossref
Edited by
-
Editor handled this article: Paula Homem-de-Mello (Associate)
Publication Dates
-
Publication in this collection
09 Feb 2024 -
Date of issue
2024
History
-
Received
29 Aug 2023 -
Published
29 Jan 2024