Abstract
Amodiaquine (AQ) was synthesized by a condensation reaction and characterized by experimental FT-IR, 1H and 13C nuclear magnetic resonance (NMR) and UV spectroscopies. In the present work, Density Functional Theory (DFT) calculations.
The structural and spectroscopic (FT-IR, 1H and 13C NMR and UV) data of amodiaquine molecule in ground state have been investigated by using Density Functional Theory (DFT). The calculations have been performed at the using B3LYP method with 6–311++G(d,p) and 6–311++G(2d, p) basis sets theory level were performed, first, to confirm its structure, then to explain its reactive nature through its molecular properties such as natural charges, local and global reactivity descriptors or natural bond orbital (NBO). Afterwards, the calculated properties were compared with experimental results. The 1H and 13C NMR chemical shifts were calculated by using the gauge-independent atomic orbital (GIAO) method, while the electronic UV–Vis spectrum is predicted using the time-dependent density functional theory (TD-DFT). Globally, the computerized results showed good agreement close similarity with the experimental values. The molecular properties such as natural charges, local and global reactivity descriptors, molecular electrostatic potential (MEP), natural bond orbital (NBO) of title molecule were calculated insights into the stability, reactivity and reactive sites on the molecule.
The calculated energy band gap (ELUMO-EHOMO) value of AQ was found to be 4.09 eV suggesting that it could be considered as a hard molecule with high stability, supported by global reactivity descriptors. Molecular electrostatic potential (MEP) analysis revealed heteroatoms (oxygen and nitrogen) as the most putative nucleophilic sites when hydrogen atoms to which they are linked appear as electrophilic sites. The potential use of amodiaquine as non-linear optical (NLO) material and its thermodynamic indicators have also been assessed.
Keywords: Amodiaquine, FT-IR, NMR, UV, Thermodynamic indicators, DFT, Reactivity descriptors, TD-DFT
1. Introduction
Quinolines are considered as one of the most attractive and versatile class of organic compounds because of their fascinating pharmacological activities such as antibacterial [1], anticancer [2], antitubercularosis [3], antiviral [4], antileishmanial [5,6], anti-inflammatory [7], antimalarial [8] among others. Amodiaquine (AQ), 4-[(7-chloro-4-quinolinyl)amino]-2-[(diethylamino)methyl] phenol (see Fig. 1 with atom numbering), a Mannich base quinoline is synthesized for the first first time in 1940(s) by Burkhalter and co-workers [9]. It is a 4-aminoquinoline similar to chloroquine® in structure and activity, and it has been widely used in the past to treat and prevent malaria. Because of serious toxicity associated with use as prophylaxis, it was withdrawn by the World Health Organisation (WHO) from the list of drugs involved in the treatment of malaria [10,11], and then re-introduced in 21st century as combination with other antimalarial drugs like artesunate® [[12], [13], [14]] and pyrimethamine-sulfadoxine® [[15], [16], [17]], especially in Africa. Many experimental and theoretical studies, have been carried out to characterize this organic compound, including X-Ray powder diffraction (XRD) [18,19] nuclear magnetic resonance (NMR) [20], Fourier transformed infrared spectroscopy (FT-IR) and UV spectrophotometry for analytical techniques [[21], [22], [23]]. Because of their reasonable accuracy, computational efficiency and broad applicability to different molecular systems, DFT calculations provide a better description of molecular properties [24,25].Literature review reveals that very few studies using DFT calculations have been performed. The molecular geometry and natural charge distribution of AQ have been reported at the B3LYP/6-31G(d,p) level of theory by A. Semeniuk et al. [18].M. Hagar exposed DFT calculations and molecular docking of AQ as with regard to COVID 19 [26].Arguelho et al. worked on electrochemical and theoretical evaluation of the interaction between DNA and AQ [27].Theoretical study of the adsorption process of AQ into acrylamide-base hydrogel model using DFT methods was presented by Cortes et al. [28].To the best of our knowledge, spectroscopic, optical and thermodynamic properties of AQ have not been previously studied. To highlightening the characteristics responsible for the biological activity it is crucial to give a more complete description of molecular motion, vibrational, electronic and thermodynamic properties at the quantum scale because these properties are very useful in pharmacology and drug design [29,30]. The main purpose of this research work is to study IR, UV and NMR of AQ molecule using DFT calculations at B3LYP/6–311++G(d,p) and sometimes at B3LYP/6–311++G(2d,p) levels of theory. Furthermore, the natural bond orbital (NBO) analysis, natural charges analysis, molecular electrostatic potential (MEP), local and global reactivity descriptors, Non-Linear optical (NLO), and thermodynamic properties were also provided.
Fig. 1.
Optimized geometry of AQ at the B3LYP/6–311++G(d,p) level of the theory.
2. Materials and methods
2.1. Experimental details
The pure sample of AQ was obtained from International Chemical Reference Substance (ICRS) Company (in Sweden). The infrared spectrum of title compound were was recorded in the region 4000-400 cm−1 using the spectrophotometer with KBr pellet technique (solid phase). Absorption spectra were determined on PerkinElmer UV–Vis spectrometer.The sample was dissolved in the water deuteride (D2O) solvent. The1H and 13C NMR spectra were recorded on a Bruker Advance (600 MHz for 1H and 125 MHz 13C) NMR spectrometer using tetramethylsilane (TMS) as the internal standard.
2.2. Computational details
The GaussView program 5.0 [31] was utilized used to build the initial structure of AQ molecule. There After which molecular geometry optimizations were carried out in gas phase with the DFT method using the Gaussian 16 program [32]. Results were analyzed with GaussView program 5.0 [31] and GaussSum program [33]. To perform the assignments, potential energy distribution (PED) is calculated using VEDA program [34]. The optimal geometries were verified on minima conditions of frequencies amongst which no imaginary values was were observed. All our calculations were performed using the DFT functional, B3LYP (Becke's three parameter Lee-Yang-Parr) and the 6–311++G(d,p)basis set [29,30].The DFT method tends to overestimate the fundamental modes; therefore scalling factor (0.967 [35,36]) has to be used for to obtaining a considerably better agreement with experimental data. The ultraviolet visible spectrum was predicted in gas phase and in aqueous solution by using time-dependant DFT (TD-DFT) calculations. NMR chemical shifts were calculated with Gauge including atomic orbital (GIAO) method [37,38], using B3LYP/6–311++G(2d,p) level of theory. These spectrumsa were compared with the experimental ones. Furthermore several properties like frontier molecular orbitals (FMOs), energy gap, reactivity descriptors, NBO, natural charges, MEP, NLO and thermodynamic properties were also theoretically investigated.
3. Results and discussion
3.1. Molecular geometry
The molecular structure of AQ was fully optimized in gas phase at B3LYP/6–311++G(d, p) level of the theory, as illustrated in Fig. 1. The results of the selected optimized structure parameters (bond lengths and bond angles) were compared with their corresponding experimental values [18] in Table 1. The C–N bond lengths were calculated from 1.317 Å to 1.467 Å in the same basis set. The three bond lengths C29–N17, C41–N17 and C26–N18 disclose higher values, at 1.466, 1.467 and 1.421 Å, respectively. The bonds with N17 are the highest Here, C41–N17 is the highest among the values of all C–N bonds, due to sp3 hybridation of the atoms. The experimental bond angle In bond angles values, the angle C2–N18–C26 is 125.9°, the highest value slightly higher than the ∼120° value corresponding to angles with an sp2 central atom; the free rotation around the N18–C26 bond, hence σ-properties, could justify that 125.9°value. The correlation coefficients (R2) between experimental and theoretical values were 0.956 for bond lengths and 0.930 for bond angles. There are only minor deviations between the theoretical and experimental geometrical parameters. Such deviations can be ascribed to the differences in the molecular environment [39]. The experimental X-ray diffraction analysis were carried out in the crystalline phase whereas the theoretical calculation was carried out in the gas phase.
Table 1.
Selected theoretical values of geometrical parameters of AQ.
| Geometric parameters | Experimental valuesa | B3LYP/6–311++G (d, p) |
|---|---|---|
| Bond length (Å) | ||
| C2–N18 | 1.369(3) | 1.381 |
| C4–N16 | 1.369(3) | 1.363 |
| C5–N16 | 1.320(3) | 1.317 |
| C9–C11 | 1.359 (4) | 1.371 |
| C11–C12 | 1.397(4) | 1.410 |
| C29–N17 | 1.473(4) | 1.466 |
| C41–N17 | 1.485(4) | 1.467 |
| C26–N18 | 1.418(3) | 1.421 |
| C20–C22 | 1.377(4) | 1.393 |
| C22–C23 | 1.395(4) | 1.406 |
| Rb | / | 0.956 |
| Bond angles (°) | ||
| C9–C11–C12 | 121.7(2) | 121.6 |
| C4–N16–C5 | 116.0 (2) | 116.5 |
| C29–N17–C41 | 112.1(3) | 114.1 |
| C2–N18–C26 | 125.9(2) | 126.1 |
| C2–N18–H19 | 118(2) | 116.1 |
| C26–N18–H19 | 116(2) | 115.2 |
| C20–C22–C23 | 120.2(2) | 120.3 |
| R2 | / | 0.930 |
3.2. Vibrational assignments
Molecular structure of AQ, consisting of 47 atoms showing 135 vibrational modes, belongs to C1 symmetry point group. The goal of the vibrational analysis is to find vibrational modes connected with specific molecular structure of calculated compound. The experimental and calculated vibrational frequencies of the title molecule with their tentative assignments are presented in Table 2. The experimental FT-IR spectrum was recorded in a solid state using reflectance mode. A comparison of experimental spectrums of AQ in solid phase with the corresponding prediction in gas phase by using B3LYP/6–311++G(d,p) method can be seen in Fig. 2. From results we observed that the calculated wavenumbers are higher than the corresponding experimental values due to: 1-difference in physical states; 2-discard of anharmonicity present in real system.
Table 2.
Experimental FT-IR and calculated vibrational frequencies in cm−1 for AQ.
| Exp. FT-IR (cm−1) | B3LYP/6–311++G(d.p) |
Vibrational assignments | ||
|---|---|---|---|---|
| Unscaled | Scaled | aIIR | ||
| 3406 m | 3838 | 3711 | 87,14 | (O–H) |
| 3348 m | 3633 | 3513 | 22,80 | (N–H) |
| 3170 m | 3213 | 3107 | 0,57 | ν(C–H) R1 |
| 3209 | 3103 | 5,57 | ν(C–H) R1 | |
| 3206 | 3100 | 2,74 | ν(C–H) R1 | |
| 3176 | 3071 | 5,90 | ν(C–H) R2 | |
| 3175 | 3070 | 5,99 | ν(C–H) R2 | |
| 3171 | 3066 | 8,92 | ν(C–H) R1 | |
| 3150 | 3046 | 21,07 | ν(C–H) R2 | |
| 3000 | 3135 | 3032 | 26,15 | ν(C–H) R1 |
| 3100 | 2998 | 50,19 | νasCH3 (C35) | |
| 3097 | 2995 | 34,81 | νasCH3 (C44) | |
| 3092 | 2990 | 56,35 | νasCH3 (C35) | |
| 3087 | 2985 | 29,21 | νsCH3 (C44) | |
| 3071 | 2970 | 12,53 | (C29–H30) | |
| 3067 | 2966 | 7,53 | νasCH2 (C41) | |
| 3047 | 2946 | 7,64 | ν(C–H) D | |
| 3042 | 2942 | 29,47 | νsCH2 (C41) | |
| 2937w | 3030 | 2930 | 23,86 | νsCH3 (C35) |
| 3028 | 2928 | 23,91 | νsCH3 (C44) | |
| 2936 | 2839 | 72,23 | ν(C–H) D | |
| 2905 | 2809 | 85,92 | ν(C–H) D | |
| 1586s | 1652 | 1597 | 14,67 | ν(CC) R2 |
| 1643 | 1589 | 102,03 | ν(CC) R1 | |
| 1635 | 1581 | 5,23 | ν(CC) R2 | |
| 1621 | 1568 | 51,93 | ν(CC) R1 | |
| 1600 | 1547 | 327,49 | ν(CC) R1 | |
| 1508w | 1555 | 1504 | 265,59 | β(HNC) (N18) |
| 1536 | 1485 | 134,36 | β(HCC) R2 | |
| 1520 | 1470 | 0,95 | βCH2 (C32) | |
| 1509 | 1459 | 17,88 | βCH2 (C32) | |
| 1507 | 1457 | 2,56 | βCH2 (C32) | |
| 1504 | 1454 | 2,95 | δasCH3 (C44) | |
| 1502 | 1452 | 2,54 | βCH3 (C44) | |
| 1498 | 1449 | 4,73 | βCH3 (C35) | |
| 1487 | 1438 | 1,76 | βCH2 (C41) | |
| 1484 | 1435 | 3,21 | βCH2 (C29) | |
| 1474 | 1425 | 19,30 | β(HCN) R1 | |
| 1445s | 1463 | 1415 | 253,13 | ν(CC) R2 |
| 1364w | 1429 | 1382 | 9,39 | τ(HCNC) D |
| 1405 | 1359 | 7,72 | wCH3 (C35) | |
| 1404 | 1358 | 27,44 | wCH3 (C44) | |
| 1400 | 1354 | 100,23 | (N–C) R1 | |
| 1389 | 1343 | 43,04 | twCH2 (C41) | |
| 1380 | 1334 | 6,86 | wCH2 (C41) | |
| 1371 | 1326 | 38,39 | ν(CC) R1 | |
| 1356 | 1311 | 16,90 | β(HOC) | |
| 1353 | 1308 | 138,80 | τ(HCCC) (C29) | |
| 1349 | 1304 | 38,99 | twCH2 (C41) | |
| 1337 | 1293 | 31,47 | twCH2 (C32) | |
| 1317 | 1274 | 33,34 | twCH2 (C32) | |
| 1209 m | 1289 | 1246 | 14,78 | ν(OC) |
| 1281 | 1239 | 50,44 | τ(HCCC) (C29) | |
| 1266 | 1224 | 34,17 | β(HCC) R1 | |
| 1261 | 1219 | 2,46 | β(HCC) R1 | |
| 1225 | 1185 | 13,82 | τ(HCCN) D | |
| 1221 | 1181 | 15,02 | ν(NC) R1 | |
| 1163w | 1202 | 1162 | 87,33 | β(HOC) |
| 1194 | 1155 | 20,33 | twCH2 (C29) | |
| 1187 | 1148 | 17,64 | β(HCC) R1 | |
| 1177 | 1138 | 8,30 | β(HCC) R2 | |
| 1142 | 1104 | 9,78 | τ(HCNC) D | |
| 1130 | 1093 | 1,21 | β(HCC) R1 | |
| 1055w | 1122 | 1085 | 107,20 | β(HCC) R2 |
| 1092 | 1056 | 6,85 | τ(HCCN) D | |
| 1089 | 1053 | 37,05 | ν(CC) R1 | |
| 1047w | 1070 | 1035 | 33,35 | ν(NC) D |
| 1066 | 1031 | 28,71 | ν(CC) R1 | |
| 1053 | 1018 | 17,44 | ν(CC) D | |
| 1016 | 982 | 5,85 | ν(CC) D, β(HCC) (C29) | |
| 983 | 951 | 2,02 | τ(HCNC) R2 | |
| 971 | 939 | 15,40 | ν(CC) D | |
| 964 | 932 | 4,34 | ν(CC) R2 | |
| 955 | 923 | 0,32 | τ(HCCC) R1 | |
| 935 | 904 | 4,88 | τ(HCCN) R2 | |
| 928 | 897 | 11,98 | τ(HCCN) R1 | |
| 911 | 881 | 35,81 | β(CCC) R1 | |
| 907 | 877 | 22,49 | ν(CC) D | |
| 906 | 876 | 12,26 | τ(HCCC) R1 | |
| 839w | 864 | 835 | 79,39 | β(NCC) R1 |
| 844 | 816 | 18,54 | τ(HCCC) R1 | |
| 836 | 808 | 23,91 | τ(HCCC) R1 | |
| 823 | 796 | 7,78 | τ(HCCC) R1 | |
| 819 | 792 | 8,82 | τ(HCCN) D | |
| 755w | 797 | 771 | 6,69 | β(CCC) R2 |
| 788 | 762 | 11,26 | τ(HCCC) R1 | |
| 781 | 755 | 20,00 | τ(HCCN) D | |
| 778 | 752 | 13,54 | β(CCC) R1 | |
| 771 | 746 | 7,53 | τ(CCNC) R2 | |
| 765 | 740 | 1,49 | β(CCC) R2 | |
| 738 | 714 | 1,11 | τ(CCCC) R2 | |
| 650w | 677 | 655 | 6,82 | ν(CC) R2, β(CCC) R2 |
| 653 | 631 | 7,92 | τ(CCCC) R1 | |
| 632 | 611 | 2,82 | τ(CCCN) (N18) | |
| 605 | 585 | 5,62 | β(CNC) R2 | |
| 589 | 570 | 5,90 | τo(NCCC) (N18) | |
| 542vw | 564 | 545 | 11,60 | β(CCC) R2 |
| 530 | 513 | 16,83 | β(CCC) R1, β(NCC) (N18) | |
| 514 | 497 | 4,99 | τo(CCCC) R2 | |
| 512 | 495 | 7,14 | τo(OCCC) R1 | |
| 487 | 471 | 7,13 | β(OCC) | |
| 482 | 466 | 1,46 | β(CCN) D | |
| 461 | 446 | 7,57 | β(CCC) R1 | |
| 449 | 434 | 2,57 | β(CNC) D | |
| 437 | 423 | 18,07 | τ(CCCC) R1 | |
| 388 | 375 | 10,16 | τ(CCCC) R2 | |
| 378 | 366 | 6,95 | ν(ClC) R2 | |
| 366 | 354 | 11,16 | β(CCN) D | |
| 355 | 343 | 22,42 | τ(CCCC) R2 | |
| 338 | 327 | 110,35 | τ(HNCC) (N18) | |
| 320 | 309 | 54,41 | τ(HOCC) | |
| 316 | 306 | 24,15 | β(CCC) (C29) | |
| 288 | 278 | 0,54 | τ(HCCN) D | |
| 268 | 259 | 1,41 | τo(ClCCC) R2 | |
| 247 | 239 | 2,56 | β(ClCC) R2 | |
| 238 | 230 | 0,41 | β(ClCC) R2 | |
| 233 | 225 | 0,30 | τ(CCCN) (N18) | |
| 226 | 219 | 2,36 | β(CNC) D | |
| 202 | 195 | 0,82 | τo(CCCN) D | |
| 162 | 157 | 0,21 | τ(CCCC) R1 | |
| 137 | 132 | 0,51 | β(CCN) (N18) | |
| 128 | 124 | 0,35 | τ(CCNC) D | |
| 120 | 116 | 2,01 | τ(CNCC) R1 | |
| 95 | 92 | 0,97 | τ(CCNC) D | |
| 81 | 78 | 0,48 | τ(CCCC) R1 | |
| 70 | 68 | 0,37 | τ(CCNC) D | |
| 50 | 48 | 0,16 | β(CNC) (N18) | |
| 40 | 39 | 0,24 | τ(CNCC) D | |
| 31 | 30 | 0,19 | τ(CNCC) D | |
| 19 | 18 | 0,59 | τ(CNCC) (N18) | |
| 14 | 14 | 0,17 | τ(CCNC) (N18) | |
vs, very strong; s, strong; m, medium; w, weak; vw, very weak; aIIR: IR intensities (Km/Mol), ν: stretching; β: deformation in the plane; δ: deformation; w: wagging; tw: twisting; τ: torsion; R1: quinolone ring; R2: phenyl ring; D: diethylamino)methyl.
Fig. 2.
Experimental and simulated FT-IR spectra of AQ.
3.2.1. O–H vibration
O–H vibrations of phenols generally appear at roughly 3500 cm−1 [40] with broad band. In the present study the stretching vibration of hydroxyl group of AQ was observed in IR spectrum at 3406 cm−1and predicted scaled value is 3711 cm−1.The in-plane bending vibration of O–H is observed at 1163 cm−1and the calculated value is 1162 1185 cm−1. They are well coincided perfectly well with the PED values.
3.2.2. N–H vibration
N–H vibrations are expected in the range 3500-3300 cm−1 [41,42]. In the present case DFT calculations provided value at 3513 cm−1 while the IR peak is experimentally observed at 3348 cm−1. The N–H in-plane bending vibrations usually occur in the region 1650-1580 cm−1 [43]. The N–H in-plane bending vibration is observed at 1508 1445 cm−1 and the calculated value is 1504 1470 cm−1.
3.2.3. C–H vibrations
The aromatic structure shows the presence of = C–H stretching vibrations around 3100-3000 cm−1 [41,44]. In this work, the = C–H stretching vibrations of the AQ ring appear in the IR spectrum at 3000 cm−1 while simulated ones at 3107, 3103, 3100, 3071, 3066, 3046 and 3032 cm−1. Because of the confusion (sometimes strongly) with various C C ring vibrations, many bands in the 1600-1000 cm−1 are involved in-plane C-Η bending vibrations [45,46]. The C–H in plane bending vibrations of phenyl rings were observed at ∼1055 cm−1 (FTIR spectrum), while the calculated values appeared at 1485, 1224, 1219, 1148, 1138 and 1085 cm−1.
3.2.4. CH2 and CH3 vibrations
The asymmetric methylene stretching vibrations are typically observed in the range of 3000-2900 cm–1 while the symmetric ones are observed at the interval 2900-2800 cm–1 [47,48]. There were five fundamental vibrations belonging to CH2 modes in this molecule (asymmetric stretching, symmetric stretching, in-plane bending, twisting and wagging vibrations). These vibrations were predicted at 2966 cm–1 (asym.), 2942 cm–1 (sym.), 1470, 1459, 1457, 1438 and 1435 cm–1 (in plane bending), 1304, 1293, 1274 and 1155 (twist.) and 1380 cm–1 (wag.).
The vibrations of the CH3 group, are expected in the range of 2900 3050-2900 cm−1 [49,50]. The calculated asymmetric stretching modes of the methyl group were found to be: 2998, 2995, and 2990 cm−1 while, the symmetric modes were at 2985, 2930 and 2928 cm−1. Experimental bands were observed at 2937 cm−1 in the IR spectrum. The CH3 symmetric stretching vibrations were found after calculations at 2930 cm−1at a value very closed to experimental one (2930 cm−1). The predicted wavenumbers at 1454, 1452 and 1449 cm⎯1 were assigned as CH3 bending vibrations while wagging wCH3 of AQ were identified at 1359 and 1358 cm⎯1.
3.2.5. C C and C N vibrations
Generally C C stretching vibrations in aromatic compounds display bands between 1430 and 1650 and 1430 cm−1 [51,52]. In this work, experimental C C stretching bands were observed at 1615, 1588, 1543, 1550 and 1445 1395 cm−1 and they were computerized to be 1597, 1589, 1581, 1568, 1547 and 1415 cm−1, respectively.
Because of the mixing of several bands, the identification of C N vibrations is a very difficult task. Silverstein assigned C N and C–N absorption in the region 1382–1266 cm−1 and 1250-1020 cm−1, respectively [53]. The bands observed at 1364 cm−1 in FT-IR spectrum have been assigned to C N. The theoretically calculated latter value of C N is observed at 1354 1382 cm−1 while C–N stretching were observed at 1047 cm−1 in FT-IR and predicted at 1035 cm−1 by B3LYP/6–311++G(d,p) method. The CCN (quinoline ring) in plane bending is observed at 839 cm−1 in FT-IR and theoretically computed scaled wave number at 835 cm−1.
3.2.6. C–O vibrations
The C–O stretching vibrations of phenols were observed between 1300 and 1200 cm−1 in the literature [54,55]. The experimental C22–O39 stretching vibration was observed at 1209 cm−1 in IR spectra of AQ. Here, the C22–O39 (H) stretching mode given at 1209 cm−1 and the computed mode was found at 1246 cm−1.
3.3. 1H and 13C NMR data
The NMR is particularly useful in determining the structure of organic and inorganic compound in solution by revealing hydrogen and carbon skeleton. In order to provide a definite assignment and analysis of 1H and 13C NMR spectra, the Gauge Including Atomic Orbital (GIAO) 1H and 13C chemical shifts calculations of AQ were performed. The IEFPCM and universal solvation methods were employed in the optimization of AQ in solution because the solvent effects are considered [56,57]. The obtained data have been compared with experimental ones (see Table 3 and Table 4). Fig. 3, Fig. 4 depicts the experimental 1H and 13C NMR spectra of AQ, respectively. The correlation graph between the experimental and calculated chemical shifts for 1H and 13C NMR are shown in Fig. 5.
Table 3.
The experimental and theoretical 1H NMR chemical shifts for AQ.
| Atoms | Experimental | B3LYP/6–311++(2d,p) |
|---|---|---|
| H10 | 8.5 | 8.76 |
| H13 | / | 8.28 |
| H6 | / | 8.18 |
| H14 | 7.9 | 7.79 |
| H25 | 7.6 | 7.48 |
| H28 | 7.5 | 7.23 |
| H7 | 7.2 | 7.02 |
| H21 | / | 7.00 |
| H19 | 6.8 | 6.65 |
| H40 | 4.7 | 4.59 |
| H30 | / | 3.77 |
| H31 | 3.4 | 3.71 |
| H34 | / | 3.13 |
| H43 | / | 2.79 |
| H33 | / | 2.68 |
| H42 | / | 2.62 |
| H37 | 1.5 | 1.32 |
| H47 | / | 1.11 |
| H38 | / | 1.07 |
| H45 | / | 0.91 |
| H36 | / | 0.90 |
| H46 | / | 0.18 |
Table 4.
The experimental and theoretical13C NMR chemical shifts for AQ.
| Atoms | Experimental | B3LYP/6–311++(2d,p) |
|---|---|---|
| C22 | / | 160.3 |
| C5 | / | 158.0 |
| C4 | / | 156.7 |
| C2 | / | 155.0 |
| C11 | 148.0 | 148.4 |
| C26 | 136.0 | 136.4 |
| C9 | 134.0 | 134.2 |
| C23 | 132.0 | 133.0 |
| C24 | 132.0 | 132.9 |
| C12 | / | 129.9 |
| C27 | / | 128.8 |
| C8 | / | 126.6 |
| C3 | 123.0 | 123.5 |
| C20 | 119.0 | 119.7 |
| C1 | 105 | 103.6 |
| C29 | / | 55.3 |
| C32 | 45.0 | 50.3 |
| C41 | 40.0 | 40.4 |
| C35 | / | 14.3 |
| C44 | / | 1.1 |
Fig. 3.
1H NMR spectra of AQ.
Fig. 4.
13C NMR spectra of AQ.
Fig. 5.
Correlation graph between experimental and calculated 1H NMR (a) and 13C NMR (b) chemical shift using B3LYP/6–311++(2d,p) level.
Chemical shifts of O–H (H19) and N–H (H40) group was observed at 6.8 ppm and 4.7 ppm, respectively, while they were predicted at 6.65 ppm and 4.59 ppm using B3LYP/6–311++ (2d, p). As seen at Fig. 4, there are correlations between experimental and calculated 1H NMR results and the corresponding R2 values were found as 0.992.
The 13C NMR spectra of AQ showed the chemical shifts of C–OH (C22) are predicted at 160.3 ppm at B3LYP/6–311++ (2d, p). The correlation values (R2 = 0.992) for 1H NMR and (R2 = 0.999) for 13C NMR show that there is a perfect agreement similarity between the experimental and theoretical chemical shifts.
3.4. Frontier molecular orbitals (FMO) (HOMO-LUMO) and UV–Vis analysis
The energies of HOMO (EH) and LUMO (EL) characterize the ability of a molecule to donate and accept electrons, respectively [[58], [59], [60]]. These orbitals are named as frontier molecular orbitals (FMOs).The difference between EH and EL is called energy gap (ΔEG). The energy gap of HOMO–LUMO explains the eventual charge transfer interaction [61] within the molecule and the stability of a molecule, influencing its the biological activity of the molecule. From FMOs calculations, the kinetic stability, UV spectra and chemical reactivity and chemical hardness-softness were predicted. According to the HSAB (hard and soft acids and bases) principle, a molecule with a high HOMO-LUMO energy gap is less reactive and can be considered as a hard molecule [[62], [63], [64]]. The HOMO, LUMO, HOMO-1 and LUMO+1 orbitals of AQ were calculated with Gaussian 16 program using B3LYP/6–311++G(d, p).These energies are illustrated in Fig. 5 and their values were summarized in Table 4. The value of the energy separation between the HOMO and LUMO is 4.09 eV. This result probably suggested that it is a hard molecule.
In addition to the frontier orbitals, other orbitals are involved in the development of the UV–Vis spectrum. This is the case for the orbital preceding the HOMO, whose energy will be noted as EH-1, and the orbital following the LUMO, noted as EL+1, whose values have been obtained in Table 4.
3.5. UV–Vis spectra analysis
Electronic transitions are usually classified according to the orbitals engaged or to specific parts of the molecule involved. Common types of electronic transitions in organic compounds are n→σ*, n→π* and especially (donor)→π*(acceptor) [63]. In order to understand the electronic transitions of AQ, theoretical calculations ofn electronic absorption spectrum were performed in the ground state and in solution (water) using TD-DFT calculations [48,65] with the B3LYP/6–311++G(d, p) level of theory. The computed properties such as absorption wavelengths (λ), excitation energies (E) and oscillator strengths (f) are shown in Table 5. The theoretical electronic absorption wavelengths values for title molecule are 341.3, 333.9 and 302.0 nm in gas phase and 354.7, 341.4 and 304.1 in water. The experimental value is found to be 342.9 nm. The predicted wavelengths are in good agreement with experiment. This electronic absorption corresponds to the transition from HOMO (H) to LUMO (L) in water and HOMO-1 to LUMO in gas phase; (see transitions in Table 5). It seems most likely that solvation (possibly referring to hydrogen bonds formation) tends to decrease energy gap within the H-1 → L transition, hence the bathochromic effect noticeable from gas phase to water medium. The observed UV–Vis and calculated spectra of AQ molecule are shown in Fig. 6.
Table 5.
HOMO-LUMO and dipole moment of AQ by B3LYP/6–311++G(d, p) method.
| Property | Symbol and formular | B3LYP/6–311++G (d, p) |
|---|---|---|
| Electronic energy (a.u) | / | −1475.35 |
| HOMO energy (eV) | EH | −5.81 |
| LUMO energy (eV) | EL | −1.72 |
| ΔEHOMO-LUMOgap (eV) | EG = EL-EH | 4.09 |
| HOMO-1 energy (eV) | EH-1 | −5.86 |
| LUMO+1 energy (eV) | EL+1 | −1.01 |
| ΔEHOMO-1-LUMO+1gap (eV) | EG = EL+1-EH-1 | 4.86 |
| Dipole moment (Debye) | D | 5.96 |
Fig. 6.
Atomic orbital compositions of AQ.
3.6. Reactivity descriptors
3.6.1. Global reactivity descriptors
Global reactivity descriptors such as ionization potential (IP), electron affinity (EA), chemical hardness (ƞ), softness (S), chemical potential (μ), electrophilicity index (ω) and electronegativity (χ) were calculated using HOMO and LUMO results. All these properties which are defined in Table 6 provide additional informations on the chemical stability of the molecule.
Table 6.
Experimental and calculated electronic bands of AQ.
| Experimental |
TD-B3LYP/6–311++G(d,p) |
||||||||
|---|---|---|---|---|---|---|---|---|---|
| Water | GAS | Water | |||||||
| ʎ (nm) | Abs. | ʎ (nm) | E (eV) | f (a.u) | Major/Minor contribs | ʎ (nm) | E (eV) | f (a.u) | Major/Minor contribs |
| 341.9 | 0.50 | 341.3 | 3,63 | 0.227 | H-1- > LUMO (61 %), HOMO- > LUMO (36 %) | 354.7 | 3,50 | 0.279 | H-1- > LUMO (46 %), HOMO- > LUMO (53 %) |
| 333.9 | 3,71 | 0.012 | H-1- > LUMO (36 %), HOMO- > LUMO (63 %) | 341.4 | 3,63 | 0.006 | H-1- > LUMO (53 %), HOMO- > LUMO (47 %) | ||
| 302.0 | 4,11 | 0.012 | HOMO- > L+1 (76 %), HOMO- > L+2 (16 %) H-1- > L+2 (5 %) | 304.1 | 4,08 | 0.008 | H-3- > LUMO (11 %), H-1- > L+1 (47 %), HOMO- > L+1 (34 %) H-2- > LUMO (5 %) | ||
Absorption wavelength λ (nm), Excitation energies E (eV), Oscillator strengths (f), HOMO (H) and LUMO (L)
For the title compound, the calculated values of ionization potential, electron affinity, hardness, softness, chemical potential, electrophilicity and electronegativity were 5.81, 1.72, 2.04, 362.46, −3.77, 3.47 and 3.77 eV respectively. Note that the high ionization energy and negative chemical potential (μ) indicate stability of molecule. The electrophilicity (ω) of the AQ molecule is greater than 1.5 eV [66], indicating that it could be classified as strong electrophiles, probably consequent to acidic properties of hydrogen atoms linked to heteroatoms (nitrogen and oxygen) whose free doublets take part to delocalization (like someone of chlorine) with π-electrons of aromatic rings.
3.6.2. Local reactivity descriptors
Some important indicators of reactivity are the Fukui functions (FFs) which provide information on the local site reactivity within the molecule and system, aiming to understand the nature of chemical reactions (nucleophilic and electrophilic behaviours of the molecule). These values correspond to the qualitative descriptors of reactivity of different atoms in the molecule. A study by Ayers and Parr [67] has shown that a larger FF suggests an attack by soft reagents and a smaller FF means an attack by hard reagents. From Mulliken atomic charges of cationic and anionic states, local Fukui functions (f+, f−), and local softness values (s+, s−) were calculated using the following equations:
Local softness values are calculated using.
, where + and − signs show nucleophilic and electrophilic attack, respectively with S = 13.32 a.u.
According to DFT/B3LYP/6–311++G(d, p) calculations, Fukui functions and local softness values for selected atomic sites in AQ are listed in Table 7. The relative high values of local reactivity descriptors (f+, s+) in Table 7 at Cl15, N16 and N18 indicate nucleophilic sites that these sites are prone to nucleophilic attacks whereas the relative high value of local reactivity descriptors (f−, s−) at H21, H40 and H19 indicate electrophilic sites that those sites are more prone to electrophilic attacks. In order to clarify reactivity, dual descriptor (Δf) introduced by Morell et al. [68] was also calculated by:
Table 7.
The calculated HOMO–LUMO energy and Global reactivity descriptor values of AQ using B3LYP/6–311++G (d, p).
| Property | Symbol and Formular | B3LYP/6–311++G (d, p) |
|---|---|---|
| Ionization potential (eV) | I = -EH | 5.81 |
| Electron affinity (eV) | EA = -EL | 1.72 |
| Chemical hardness (eV) | ɳ = (EL-EH)/2 | 2.04 |
| Global Softness or Chemical reactivity (eV-1) | S = 1/ɳ | 362.46 |
| Chemical potential (eV) | μ= (EL + EH)/2 | −3.77 |
| Electrophilicity index (eV) | ω = μ2/2ɳ | 3.47 |
| Electronegativity (eV) | χ = -μ | 3.77 |
The atomic sites with a higher nucleophilic tendency are those having positive dual descriptor value while those having negative dual descriptor value are the most electrophilic sites [69]. The nitrogen (N16, N18) and oxygen (O39) atoms have the positive dual descriptor indicating possible nucleophilic sites in the drug while hydrogen (H19, H21 and H40) and chlorine (Cl15) atoms have negative dual descriptor indicating possible electrophilic site.
3.7. Molecular electrostatic potential (MEP) analysis
In order to validate the evidence about the reactivity of title compound, MEP was calculated at the B3LYP/6–311++G(d, p) optimized geometry and is shown in Fig. 7. This figure provides a visual representation of the chemically active sites and comparative reactivity of atoms. The potential values increase from red to blue color [70]. Blue colour indicates the strongest attraction and the red colour indicates the strongest repulsion [44]. Regions of negative potential are usually associated with the lone pair of electronegative atoms. The negative electrostatic potential corresponds to an attraction of the proton by the aggregate electron density in the molecule (shades of red), while the positive electrostatic potential corresponds to the repulsion of the proton by the atomic nuclei (shades of blue) [71]. The colour code of MEP map is in the range between −0.06179e (deepest red) to 0.06179e (deepest blue) in our molecule. As can be seen from Fig. 7 the negative electrostatic potential regions (red) were localized on the oxygen (O39) and nitrogen (N16) atoms indicating possible nucleophilic sites for electrophilic attacks. However, positive potential regions (blue) were localized on hydrogen atoms (H40 and H19) around O–H, N–H groups (O39, N18), and indicating possible electrophilic sites for nucleophilic attacks as previously hypothesised. The docking study by M. Hagar et al. [26] reveals that AQ could be a better inhibitor of SARS-CoV-2 Mpro with binding affinity −7.77 kcal/mol compared to hydroxychloroquine (−6.06 kcal/mol) and remdesivir (−4.96 kcal/mol). AQ interacted with the receptor by different hydrophobic interactions besides three hydrogen bonds with amino acids Leu141, Cys145, and Gln189.
Fig. 7.
Experimental and theoretical UV-spectra of AQ.
The effective interactions of proteins with the AQ were found on the atoms (N16, N18, and O39) and this could be attributed to the presence of lone pair electrons on these atoms.
3.8. Natural charges analysis
Atomic charges determine many properties of molecular systems. The natural atomic charges of title molecule obtained by natural bond orbital (NBO) analysis are tabulated in Table 8 (atom numbering according to Fig. 1). All carbon atoms are negative, except C2, C4, C5, C22 and C26 that are bonded to electron-withdrawing nitrogen and oxygen atoms, with C2 and C26 bound to N18, C4 and C5 bound to N16 and C22 bound to O39 being the most-positively charged carbon atoms in the molecule, whereas C44 and C35 are the most-negatively charged carbon atoms. All electronegative oxygen and nitrogen atoms have a negative charge, perform as donor atoms, they should endure electrophilic reaction. The oxygen O39 atom is found to exhibit the most negative charge in the molecule due to its electron withdrawing nature. The dominance of red colour in the MEP map around this oxygen atom also confirms this hypothesis. All hydrogen atoms are positive however the most positive charges are localized on hydrogen atoms (H40 and H19) connected to heteroatoms (oxygen O39 and nitrogen N18) because they can be involved in hydrogen bonding.
Table 8.
Fukui functions (f+, f−) and local softness (s+, s−) for selected atomic sites of AQ, using Mulliken population analysis at B3LYP/6–311 G (d, p) level.
| N° Atom | N | N+1 | N-1 | f+ | f− | Δf | f0 | s− | s+ |
|---|---|---|---|---|---|---|---|---|---|
| Cl15 | 0.465654 | 0.549051 | 0.357426 | 0.083397 | 0.108228 | −0.024831 | 0.0958125 | 1.44159696 | 1.11084804 |
| N16 | 0.021326 | 0.100847 | −0.035008 | 0.079521 | 0.056334 | 0.023187 | 0.0679275 | 0.75036888 | 1.05921972 |
| N18 | 0.195469 | 0.254541 | 0.169666 | 0.059072 | 0.025803 | 0.033269 | 0.0424375 | 0.34369596 | 0.78683904 |
| H19 | 0.21189 | 0.241657 | 0.081163 | 0.029767 | 0.130727 | −0.10096 | 0.080247 | 1.74128364 | 0.39649644 |
| H21 | 0.145912 | 0.189003 | −0.288558 | 0.043091 | 0.43447 | −0.391379 | 0.2387805 | 5.7871404 | 0.57397212 |
| O39 | −0.202845 | −0.170546 | −0.23336 | 0.032299 | 0.030515 | 0.001784 | 0.031407 | 0.4064598 | 0.43022268 |
| H40 | 0.268432 | 0.288778 | 0.013485 | 0.020346 | 0.254947 | −0.234601 | 0.1376465 | 3.39589404 | 0.27100872 |
3.9. Natural bond orbital (NBO) analysis
The natural bond orbital (NBO) calculations were performed using NBO program [72] as implemented in Gaussian 16 package at the DFT/B3LYP level under 6–311++G(d, p) basis set in order to understand second order interactions between filled Lewis-type (bond or lone pair) and vacant (anti-bond Rydberg) orbital spaces, which provide an evidence for the charge transfer interactions arising within the molecular systems. This interaction was deduced from the second-order Fock matrix [73,74], as follows:
Where E(2) is stabilization energy with the delocalization for each donor (i) and acceptor (j), q is the donor orbital occupancy, Ei and Ej are diagonal elements and Fij is the off diagonal NBO Fock matrix element [75]. The larger E(2) value the more intensive is the interaction between electron donors and acceptor i.e. the more donation tendency from electron donors to electron acceptors and the greater the extent of conjugation of the whole system [40]. Delocalization of electron density between occupied Lewis type (bond or lone pair) NBO orbitals and formally unoccupied (antibond or Rydgberg) non-Lewis NBO orbital's corresponding to a stabilizing donor-acceptor interaction. Table 9 shows the most important interactions between donor and acceptor elements of title molecule in supporting information (SI). The results of the natural bond orbital analysis show that the strong stabilization energy occurs at 92845.91 kcal.mol−1due to BD(1) O39–H40 to RY*(1) C24 interaction. This highest activity around the phenyl ring can induce the large biological properties of AQ. The energy contribution of BD(1) C24–H25 -˃ RY*(7) C26, BD(1) O39–H40 -˃ RY*(7) C41 and BD(1) C22–O39 -˃RY*(1) C31 are 65072.77, 59862.22 and 52218.60 kcal mol−1, respectively.
Table 9.
NBO charges of AQ.
| Atom | Charge | Atom | Charge | Atom | Charge | Atom | Charge | Atom | Charge |
|---|---|---|---|---|---|---|---|---|---|
| C1 | −0.31742 | C11 | −0.04358 | H21 | 0.2021 | H31 | 0.16994 | C41 | −0.17653 |
| C2 | 0.23772 | C12 | −0.20917 | C22 | 0.32513 | C32 | −0.16437 | H42 | 0.19451 |
| C3 | −0.10991 | H13 | 0.23314 | C23 | −0.06542 | H33 | 0.18977 | H43 | 0.18977 |
| C4 | 0.18213 | H14 | 0.22383 | C24 | −0.19474 | H34 | 0.15699 | C44 | −0.60113 |
| C5 | 0.09398 | Cl 15 | 0.00167 | H25 | 0.21561 | C35 | −0.5822 | H45 | 0.19497 |
| H6 | 0.19659 | N16 | −0.48485 | C26 | 0.12217 | H36 | 0.20374 | H46 | 0.20355 |
| H7 | 0.22158 | N17 | −0.55906 | C27 | −0.2021 | H37 | 0.19173 | H47 | 0.19247 |
| C8 | −0.18579 | N18 | −0.6008 | H28 | 0.20834 | H38 | 0.20226 | ||
| C9 | −0.19446 | H19 | 0.38667 | C29 | −0.1821 | O39 | −0.66802 | ||
| H10 | 0.18292 | C20 | −0.26409 | H30 | 0.21513 | H40 | 0.46741 |
3.10. NLO properties
The NLO properties were performed to study the influence of the molecular structure on the polarizations and hyperpolarizations of title molecule due to their suitability for optoelectronic and photonic applications [76]. NLO analysis deals with the interaction of electromagnetic fields in various materials to produce new fields, altered in wavenumber phase or other physical properties [77,78]. The first hyperpolarizability (β), dipole moment (μ), polarizability (α) and anisotropy of polarizability (Δα) of AQ were calculated using B3LYP/6–311++G(d, p) level using Gaussian 16 program package. The x,y,z components of μ, α, and β were used to extract the values of interest using the following equations [79].
The NLO results are given in Table 10. The calculated values were converted into electrostatic units (esu) from atomic units (a.u.) (for α, 1a.u = 0.1482 × 10−24 esu; for β, 1a.u = 8.6393 × 10−33 esu) [79]. The calculated values of μ, α and β are 6.0 D, −23,7 × 10−24 esu and 2577,1 × 10−33 esu, respectively. The μ and β values obtained are very large (4.3 times for dipole moment, 7.5 times for hyperpolarizability) compared to that of urea (μ = 1.3732D, β = 343.272 × 10−33 esu) found in the literature [49]). Urea is the reference molecule which is used in the study of the NLO properties of molecular systems. Hence our results indicate that AQ is an effective candidate for NLO application.
Table 10.
Second order perturbation theory analysis of Fock matrix in NBO basis for AQ.
| Donor NBO (i) | Acceptor NBO (j) | E(2)a kcal.mol-1 | E(j)-E(i)b a.u. | F(i,j)c a.u. |
|---|---|---|---|---|
| BD (1) C8 – C12 | RY*(5) C44 | 10633.52 | 0.08 | 0.809 |
| BD (1) N17 – C41 | RY*(1) H30 | 9940.26 | 0.03 | 0.526 |
|
BD (1) C20 – C22 |
BD*(1) C4–N16 | 50613.15 | 0.06 | 1.503 |
| RY*(9) C24 | 41897.58 | 0.10 | 1.854 | |
| RY*(4) H46 | 9895.59 | 0.29 | 1.531 | |
| BD (1) C22–O39 | RY*(1) H31 | 52218.60 | 0.01 | 0.745 |
| BD (1) C24–H25 | RY*(7) C26 | 65072.77 | 0.03 | 1.336 |
| BD*(1) C4–C9 | 11211.72 | 0.10 | 0.957 | |
|
BD (1) O39 – H40 |
RY*(1) C24 | 92845.91 | 0.06 | 2.042 |
| RY*(7) C41 | 59862.22 | 0.10 | 2.139 | |
| RY*(4) H25 | 17618.20 | 0.34 | 2.193 | |
| BD*(1) C11–C12 | 15939.07 | 0.24 | 1.749 | |
| RY*(5) C41 | 15537.24 | 0.32 | 2.003 | |
| BD*(1) C26–C27 | 14904.98 | 0.26 | 1.757 | |
| RY*(9) C24 | 13286.74 | 0.41 | 2.093 | |
| BD*(1) C4–N16 | 9843.83 | 0.37 | 1.696 | |
| CR (1) C41 | RY*(17) C44 | 9604.83 | 0.47 | 1.896 |
| CR (1) C44 | RY*(17) C44 | 28780.08 | 0.43 | 3.142 |
3.11. Thermodynamic properties
Thermodynamic properties, including heat capacity (Cv), entropy (S) and enthalpy changes (ΔH) for title compound were also performed in the gas phase. The calculated properties are given in Table 11. From Tables 11 and it can be observed that these thermodynamic functions are increasing with temperature in the range 100–700K probably owing to the intensities of the molecular vibrations increasing with temperature [80,81]. The correlations between heat capacity, entropy, enthalpy changes and temperatures were fitted by quadratic formulars and the corresponding fitting factors (R2) for these thermodynamic properties are 0.9992, 1.0000 and 0.9998 respectively. The corresponding fitting equations are defined as follows and the correlation graphics are shown in Fig. 8 (see Table 12).
Table 11.
The electric dipole moment, polarizability and first order hyperpolarizability of AQ.
| a.u | esu (10−24) | a.u | esu (10−33) | ||
|---|---|---|---|---|---|
| αxx | −176.8 | −26.2 | βxxx | −197.4 | −1705,6 |
| αxy | −2.1 | −0.3 | βxxy | 33.9 | 293,0 |
| αyy | −147.8 | −21.9 | βxyy | −64.7 | −558,8 |
| αxz | −8.5 | −1.3 | βyyy | 49.8 | 430,7 |
| αyz | −4.9 | −0.7 | βxxz | −21.9 | −189,3 |
| αzz | −155.4 | −23.0 | βxyz | 8.7 | 74,9 |
| α | −160.0 | −23.7 | βyyz | −25.6 | −220,9 |
| Δα | 31.3 | 4.6 | βxzz | −13.1 | −112,8 |
| μx | −4.8 | βyzz | 7.9 | 67,9 | |
| μy | 2.3 | βzzz | −22.4 | −193,3 | |
| μz | −2.7 | βx | −275.2 | −2377,1 | |
| μ | 6.0 | βy | 91.6 | 791,6 | |
| βz | −69.8 | −603,4 | |||
| β | 298.3 | 2577,1 |
Fig. 8.
Molecular electrostatic potential map of AQ.
Table 12.
Thermodynamic functions of AQ at the B3LYP/6–311++G(d,p) level.
| Temperature (K) | Heat capacities Cv(cal.mol−1.k−1) |
Entropies S (cal.mol−1.k−1) |
ΔH (Kcal/mol) |
|---|---|---|---|
| 100 | 36.259 | 102.201 | 2388 |
| 200 | 63.607 | 137.137 | 7585 |
| 300 | 91.375 | 168.968 | 15,529 |
| 400 | 117.977 | 199.536 | 26,218 |
| 500 | 140.914 | 228.847 | 39,397 |
| 600 | 159.740 | 256.624 | 54,660 |
| 700 | 175.094 | 282.747 | 71,626 |
These thermodynamic data supply helpful information for the further study of AQ (see Fig. 9). They can be used to compute other thermodynamic energies based on the relationships between thermodynamic functions and estimate directions of chemical reactions according to the second law of thermodynamics [82].
Fig. 9.
Correlation graph of thermodynamic functions for AQ.
4. Conclusion
In this study, when clarifying the characterization of AQ, structural parameters, vibrational frequencies, chemical shift values and UV spectra were calculated experimental and theoretical approaches were used to analyse structural and vibrational (FT-IR, 1H and 13C NMR and UV–visible) features of the AQ molecule. The calculations were performed using DFT method at the B3LYP/6–311++(d, p) level of theory then compared with corresponding experimental values. The geometrical parameters of the title compound agree with the XRD results given in literature. On basis of calculated potential energy distribution results assignments of the fundamental vibrational frequencies have been made unambiguously using VEDA program. A very good correlation between the observed and calculated vibrational spectra reveals the advantages of higher basis sets for quantum chemical calculations. 1H and 13C NMR calculations were done using GIAO methods and the results were found to be in good agreement with experimental data. The electronic properties were also simulated and compared with experimental UV–visible spectrum which exhibits mainly π→π* and n→π* absorption peaks. The calculated HOMO and LUMO energies reflected the charge transfer within the molecule. The mapped MEP surface support the electrophilic sites on positive charges of hydrogen atom of hydroxyl and amino groups while the nucleophilic sites are observed on the oxygen and nitrogen (N16) atoms. Stability of the molecule arising from hyper-conjugative interactions should lead to its bioactive's properties. Charge delocalization has been analyzed using NBO analysis. A computation of the first order hyperpolarizability indicates that the title compound might be a good candidate as a NLO material.
5. Data availability
- No data associated with this study has been deposited into a publicly available repository.
- No data was used for the research described in the article.
CRediT authorship contribution statement
Pélagie Manwal A Mekoung: Writing – review & editing, Writing – original draft, Investigation, Formal analysis, Conceptualization. Alhadji Malloum: Methodology, Data curation. Munusamy Govindarajan: Visualization, Resources. Rose Ngono Mballa: Resources, Project administration. Issofa Patouossa: Visualization, Software, Formal analysis. Auguste Abouem A Zintchem: Formal analysis. Charles P.N. Nanseu: Investigation, Formal analysis. Ibrahim N. Mbouombouo: Writing – review & editing, Supervision, Project administration, Formal analysis, Conceptualization.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgement
The authors thank the University of Yaoundé I and the Higher Teacher Training College of Yaoundé (Cameroon) for infrastructural facilities.The authors are also grateful to the Head Director of the National Drug Quality Control and Valuation Laboratory, Yaoundé-Cameroon for providing laboratory facilities and spectral data.
References
- 1.Rajabalian S., Foroumadi A., Shafiee A., Emami S. Functionalized N(2-oxyiminoethyl) piperazinyl quinolones as new cytotoxic agents. J Pharm Pharm Sci. 2007;10:153–158. [PubMed] [Google Scholar]
- 2.Suaifan G.A.R.Y., Mohammed A.A.M., Alkhawaja B.A. Fluoroquinolones' biological activities against laboratory microbes and cancer cell lines. Molecules. 2022;27:1658. doi: 10.3390/molecules27051658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Shindikar A.V., Viswanathan C.L. Novel fluoroquinolones: design, synthesis, and in vivo activity in mice against Mycobacterium tuberculosis H37Rv. Bioorg. Med. Chem. Lett. 2005;15:1803–1806. doi: 10.1016/j.bmcl.2005.02.037. [DOI] [PubMed] [Google Scholar]
- 4.Guo R.-H., Zhang Q., Ma Y.-B., Huang X.-Y., Luo J., Wang L.-J., Geng C.-A., Zhang X.-M., Zhou J., Jiang Z.-Y., Chen J.-J. Synthesis and biological assay of 4-aryl-6-chloro-quinoline derivatives as novel non-nucleoside anti-HBV agents. Bioorg. Med. Chem. 2011;19:1400–1408. doi: 10.1016/j.bmc.2011.01.006. [DOI] [PubMed] [Google Scholar]
- 5.Yousuf M., Mukherjee D., Pal A., Dey S., Mandal S., Pal C., Adhikari S. Synthesis and biological evaluation of ferrocenylquinoline as a potential antileishmanial agent. ChemMedChem. 2015;10:546–554. doi: 10.1002/cmdc.201402537. [DOI] [PubMed] [Google Scholar]
- 6.Guglielmo S., Bertinaria M., Rolando B., Crosetti M., Fruttero R., Yardley V., Croft S.L., Gasco A. A new series of amodiaquine analogues modified in the basic side chain with in vitro antileishmanial and antiplasmodial activity. Eur. J. Med. Chem. 2009;44:5071–5079. doi: 10.1016/j.ejmech.2009.09.012. [DOI] [PubMed] [Google Scholar]
- 7.Chen Y.-L., Zhao Y.-L., Lu C.-M., Tzeng C.-C., Wang J.-P. Synthesis, cytotoxicity, and anti-inflammatory evaluation of 2-(furan-2-yl)-4-(phenoxy)quinoline derivatives. Part 4. Bioorg. Med. Chem. 2006;14:4373–4378. doi: 10.1016/j.bmc.2006.02.039. [DOI] [PubMed] [Google Scholar]
- 8.Bawa S., Kumar S., Drabu S., Kumar R. Structural modifications of quinoline-based antimalarial agents: recent developments. J Pharm Bioall Sci. 2010;2:64. doi: 10.4103/0975-7406.67002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Burckhalter J.H., Tendick F.H., Jones E.M., Jones P.A., Holcomb W.F., Rawlins A.L. Aminoalkylphenols as antimalarials. II. 1 (Heterocyclic-amino)-α-amino-o-cresols. The synthesis of camoquin 2. J. Am. Chem. Soc. 1948;70:1363–1373. doi: 10.1021/ja01184a023. [DOI] [PubMed] [Google Scholar]
- 10.Olliaro P., Nevill C., LeBras J., Ringwald P., Mussano P., Garner P., Brasseur P. Systematic review of amodiaquine treatment in uncomplicated malaria. Lancet. 1996;348:1196–1201. doi: 10.1016/S0140-6736(96)06217-4. [DOI] [PubMed] [Google Scholar]
- 11.Gil J.P. Amodiaquine pharmacogenetics. Pharmacogenomics. 2008;9:1385–1390. doi: 10.2217/14622416.9.10.1385. [DOI] [PubMed] [Google Scholar]
- 12.Raobela O., Andriantsoanirina V., Rajaonera D.G., Rakotomanga T.A., Rabearimanana S., Ralinoro F., Ménard D., Ratsimbasoa A. Efficacy of artesunate–amodiaquine in the treatment of falciparum uncomplicated malaria in Madagascar. Malar. J. 2018;17:284. doi: 10.1186/s12936-018-2440-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Durrani N., Leslie T., Rahim S., Graham K., Ahmad F., Rowland M. Efficacy of combination therapy with artesunate plus amodiaquine compared to monotherapy with chloroquine, amodiaquine or sulfadoxine-pyrimethamine for treatment of uncomplicated Plasmodium falciparum in Afghanistan. Trop. Med. Int. Health. 2005;10:521–529. doi: 10.1111/j.1365-3156.2005.01429.x. [DOI] [PubMed] [Google Scholar]
- 14.Adjuik M., Agnamey P., Babiker A., Borrmann S., Brasseur P., Cisse M., Cobelens F., Diallo S., Faucher J., Garner P., Gikunda S., Kremsner P., Krishna S., Lell B., Loolpapit M., Matsiegui P.-B., Missinou M., Mwanza J., Ntoumi F., Olliaro P., Osimbo P., Rezbach P., Some E., Taylor W. Amodiaquine-artesunate versus amodiaquine for uncomplicated Plasmodium falciparum malaria in African children: a randomised, multicentre trial. Lancet. 2002;359:1365–1372. doi: 10.1016/S0140-6736(02)08348-4. [DOI] [PubMed] [Google Scholar]
- 15.Staedke S.G., Kamya M.R., Dorsey G., Gasasira A., Ndeezi G., Charlebois E.D., Rosenthal P.J. Amodiaquine, sulfadoxine/pyrimethamine, and combination therapy for treatment of uncomplicated falciparum malaria in Kampala, Uganda: a randomised trial. Lancet. 2001;358:368–374. doi: 10.1016/S0140-6736(01)05557-X. [DOI] [PubMed] [Google Scholar]
- 16.McIntosh H. The Cochrane Database of Systematic Reviews (Complete Reviews) John Wiley & Sons, Ltd; Chichester, UK: 2001. Chloroquine or amodiaquine combined with sulfadoxine-pyrimethamine for treating uncomplicated malaria, in: the Cochrane Collaboration; p. CD000386. [DOI] [PubMed] [Google Scholar]
- 17.Basco L.K., Same-Ekobo A., Ngane V.F., Ndounga M., Metoh T., Ringwald P., Soula G. Therapeutic efficacy of sulfadoxine-pyrimethamine, amodiaquine and the sulfadoxine-pyrimethamine-amodiaquine combination against uncomplicated Plasmodium falciparum malaria in young children in Cameroon. Bull. World Health Organ. 2002;80:538–545. [PMC free article] [PubMed] [Google Scholar]
- 18.Semeniuk A., Niedospial A., Kalinowska-Tluscik J., Nitek W., Oleksyn B.J. Molecular geometry of antimalarial amodiaquine in different crystalline environments. J. Mol. Struct. 2008;875:32–41. doi: 10.1016/j.molstruc.2007.03.065. [DOI] [Google Scholar]
- 19.Yennawar H.P., Viswamitra M.A. Steric and rotational constraints in the X-ray structure of the antimalarial drug amodiaquine. Curr. Sci. 1991;61:39–43. [Google Scholar]
- 20.Casabianca L.B., de Dios A.C. 13 C NMR study of the self-association of chloroquine, amodiaquine, and quinine. J. Phys. Chem. A. 2004;108:8505–8513. doi: 10.1021/jp047361b. [DOI] [Google Scholar]
- 21.Arise R.O., Elizabeth S.-N., Farohunbi S.T., Nafiu M.O., Tella A.C. Mechanochemical synthesis, in vivo anti-malarial and safety evaluation of amodiaquine-zinc complex. Acta Fac. Med. Naissensis. 2017;34:221–233. doi: 10.1515/afmnai-2017-0024. [DOI] [Google Scholar]
- 22.O'Neil M.J. thirteenth ed. Merck; Whitehouse Station, N.J.: 2001. The Merck Index: an Encyclopedia of Chemicals, Drugs, and Biologicals.http://catdir.loc.gov/catdir/toc/wiley041/2003267062.html [Google Scholar]
- 23.PubChem Amodiaquine. https://pubchem.ncbi.nlm.nih.gov/compound/2165
- 24.G. Selvi, Comparison of Theoretical & Experimental Studies of 2-Oxo-4-Phenyl Quinoline, (n.d.).
- 25.Spectroscopic investigation (FT-IR, FT-Raman, NMR and UV-Vis),Conformational stability, NBO and thermodynamic analysis of 1-(2-methoxyphenyl) piperazine and 1-(2-chlorophenyl) piperazine by DFT approach. Pharm. Anal. Acta. 2015;6 doi: 10.4172/2153-2435.1000391. [DOI] [Google Scholar]
- 26.Hagar M., Ahmed H.A., Aljohani G., Alhaddad O.A. Investigation of some antiviral N-heterocycles as COVID 19 drug: molecular docking and DFT calculations. IJMS. 2020;21:3922. doi: 10.3390/ijms21113922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Arguelho M., Alves J., Ramos S., Júnior V., Pires J., Beatriz A. Electrochemical and theoretical evaluation of the interaction between DNA and amodiaquine. Evidence of the guanine adduct formation. Química Nova. 2009;33:1291–1296. doi: 10.1590/S0100-40422010000600014. [DOI] [Google Scholar]
- 28.Cortes E., Márquez E., Mora J.R., Puello E., Rangel N., De Moya A., Trilleras J. Theoretical study of the adsorption process of antimalarial drugs into acrylamide-base hydrogel model using DFT methods: the first approach to the rational design of a controlled drug delivery system. Processes. 2019;7:396. doi: 10.3390/pr7070396. [DOI] [Google Scholar]
- 29.Becke A.D. Density-functional exchange-energy approximation with correct asymptotic behavior. Phys. Rev. A. 1988;38:3098–3100. doi: 10.1103/PhysRevA.38.3098. [DOI] [PubMed] [Google Scholar]
- 30.Lee C., Yang W., Parr R.G. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Phys. Rev. B. 1988;37:785–789. doi: 10.1103/PhysRevB.37.785. [DOI] [PubMed] [Google Scholar]
- 31.Dennington R., Keith T.A., Millam J.M. Semichem Inc.; Shawnee Mission, KS, USA: 2016. GaussView 6.0. 16. [Google Scholar]
- 32.Frisch M.J., Trucks G.W., Schlegel H.B., Scuseria G.E., Robb Ma, Cheeseman J.R., Scalmani G., Barone V., Petersson G.A., Nakatsuji H. Gaussian, Inc.; Wallingford CT: 2016. Gaussian 16, Revision A. 03; p. 3. [Google Scholar]
- 33.O'Boyle N.M., Tenderholt A.L., Langner K.M. cclib: a library for package-independent computational chemistry algorithms. J. Comput. Chem. 2008;29:839–845. doi: 10.1002/jcc.20823. [DOI] [PubMed] [Google Scholar]
- 34.Jamróz M.H. Vibrational energy distribution analysis (VEDA): scopes and limitations. Spectrochim. Acta Mol. Biomol. Spectrosc. 2013;114:220–230. doi: 10.1016/j.saa.2013.05.096. [DOI] [PubMed] [Google Scholar]
- 35.CCCBDB listing of precalculated vibrational scaling factors, (n.d.). https://cccbdb.nist.gov/vibscalejustx.asp (accessed July 5, 2023).
- 36.Vijaya Chamundeeswari S.P., Jebaseelan Samuel E.R.J., Sundaraganesan N. Theoretical and experimental studies on 2-(2-methyl-5-nitro-1-imidazolyl)ethanol. Eur. J. Chem. 2011;2:136–145. doi: 10.5155/eurjchem.2.2.136-145.169. [DOI] [Google Scholar]
- 37.Wolinski K., Hinton J.F., Pulay P. Efficient implementation of the gauge-independent atomic orbital method for NMR chemical shift calculations. J. Am. Chem. Soc. 1990;112:8251–8260. doi: 10.1021/ja00179a005. [DOI] [Google Scholar]
- 38.Ditchfield R. Self-consistent perturbation theory of diamagnetism. Mol. Phys. 1974;27:789–807. doi: 10.1080/00268977400100711. [DOI] [Google Scholar]
- 39.Chethan Prathap K.N., Lokanath N.K. Three novel coumarin-benzenesulfonylhydrazide hybrids: synthesis, characterization, crystal structure, Hirshfeld surface, DFT and NBO studies. J. Mol. Struct. 2018;1171:564–577. doi: 10.1016/j.molstruc.2018.06.022. [DOI] [Google Scholar]
- 40.Govindasamy P., Gunasekaran S., Ramkumaar G.R. Natural bond orbital analysis, electronic structure and vibrational spectral analysis of N-(4-hydroxyl phenyl) acetamide: a density functional theory. Spectrochim. Acta Mol. Biomol. Spectrosc. 2014;130:621–633. doi: 10.1016/j.saa.2014.03.065. [DOI] [PubMed] [Google Scholar]
- 41.Stuart B.H. first ed. Wiley; 2004. Infrared Spectroscopy: Fundamentals and Applications. [DOI] [Google Scholar]
- 42.Burcu Arslan N., Ozdemir N., Dayan O., Dege N., Koparır M., Koparır P., Muglu H. Direct and solvent-assisted thione–thiol tautomerism in 5-(thiophen-2-yl)-1,3,4-oxadiazole-2(3H)-thione: experimental and molecular modeling study. Chem. Phys. 2014;439:1–11. doi: 10.1016/j.chemphys.2014.05.006. [DOI] [Google Scholar]
- 43.Arjunan V., Mohan S. Fourier transform infrared and FT-Raman spectra, assignment, ab initio, DFT and normal co-ordinate analysis of 2-chloro-4-methylaniline and 2-chloro-6-methylaniline. Spectrochim. Acta Mol. Biomol. Spectrosc. 2009;72:436–444. doi: 10.1016/j.saa.2008.10.017. [DOI] [PubMed] [Google Scholar]
- 44.Karrouchi K., Brandán S.A., Sert Y., El-marzouqi H., Radi S., Ferbinteanu M., Faouzi M.E.A., Garcia Y., Ansar M. Synthesis, X-ray structure, vibrational spectroscopy, DFT, biological evaluation and molecular docking studies of (E)-N’-(4-(dimethylamino)benzylidene)-5-methyl-1H-pyrazole-3-carbohydrazide. J. Mol. Struct. 2020;1219 doi: 10.1016/j.molstruc.2020.128541. [DOI] [Google Scholar]
- 45.Lin-Vien D., Colthup N.B., Fateley W.G., Grasselli J.G. The Handbook of Infrared and Raman Characteristic Frequencies of Organic Molecules. Elsevier; 1991. Aromatic and heteroaromatic rings; pp. 277–306. [DOI] [Google Scholar]
- 46.Mekoung P.M.A., Mountessou B.Y.G., Mbah M.B., Signe M., Zintchem A.A.A., Nanseu C.P.N., Mbouombouo I.N. Vibrational spectroscopic investigations, electronic properties, molecular structure and quantum mechanical study of an antifolate drug: pyrimethamine. Comput. Chem. 2022;10:157–185. doi: 10.4236/cc.2022.104008. [DOI] [Google Scholar]
- 47.Colthup N.B., Daly L.H., Wiberley S.E. third ed. Academic Press; Boston: 1990. Introduction to Infrared and Raman Spectroscopy. [Google Scholar]
- 48.Kanmazalp S.D., Macit M., Dege N. Hirshfeld surface, crystal structure and spectroscopic characterization of (E)-4-(diethylamino)-2-((4-phenoxyphenylimino)methyl)phenol with DFT studies. J. Mol. Struct. 2019;1179:181–191. doi: 10.1016/j.molstruc.2018.11.001. [DOI] [Google Scholar]
- 49.Sajan D., Binoy J., Pradeep B., Venkata Krishna K., Kartha V.B., Joe I.H., Jayakumar V.S. NIR-FT Raman and infrared spectra and ab initio computations of glycinium oxalate. Spectrochim. Acta Mol. Biomol. Spectrosc. 2004;60:173–180. doi: 10.1016/S1386-1425(03)00193-8. [DOI] [PubMed] [Google Scholar]
- 50.A Guide to the Complete Interpretation of Infrared Spectral of Organic Structures | Wiley, (n.d.). https://www.wiley.com/en-us/A+Guide+to+the+Complete+Interpretation+of+Infrared+Spectral+of+Organic+Structures-p-9780471939986 (accessed June 4, 2023).
- 51.Kurt M., Yurdakul M., Yurdakul Ş. Molecular structure and vibrational spectra of 3-chloro-4-methyl aniline by density functional theory and ab initio Hartree-Fock calculations. J. Mol. Struct.: THEOCHEM. 2004;711:25–32. doi: 10.1016/j.theochem.2004.07.034. [DOI] [Google Scholar]
- 52.Romano E., Davies L., Brandán S.A. Structural properties and FTIR-Raman spectra of the anti-hypertensive clonidine hydrochloride agent and their dimeric species. J. Mol. Struct. 2017;1133:226–235. doi: 10.1016/j.molstruc.2016.12.008. [DOI] [Google Scholar]
- 53.Silverstein R.M., Webster F.X., Kiemle D.J., Bryce D.L. 8 edition. Wiley; 2014. Spectrometric Identification of Organic Compounds. [Google Scholar]
- 54.Krishnakumar V., Prabavathi N. Scaled quantum chemical calculations and FTIR, FT-Raman spectral analysis of 2-Methylpyrazine. Spectrochim. Acta Mol. Biomol. Spectrosc. 2009;72:743–747. doi: 10.1016/j.saa.2008.11.012. [DOI] [PubMed] [Google Scholar]
- 55.Krishnakumar V., Ramasamy R. Density functional and experimental studies on the FT-IR and FT-Raman spectra and structure of 2,6-diamino purine and 6-methoxy purine. Spectrochim. Acta Mol. Biomol. Spectrosc. 2008;69:8–17. doi: 10.1016/j.saa.2007.02.020. [DOI] [PubMed] [Google Scholar]
- 56.Miertuš S., Scrocco E., Tomasi J. Electrostatic interaction of a solute with a continuum. A direct utilizaion of AB initio molecular potentials for the prevision of solvent effects. Chem. Phys. 1981;55:117–129. doi: 10.1016/0301-0104(81)85090-2. [DOI] [Google Scholar]
- 57.Marenich A.V., Cramer C.J., Truhlar D.G. Universal solvation model based on solute electron density and on a continuum model of the solvent defined by the bulk dielectric constant and atomic surface tensions. J. Phys. Chem. B. 2009;113:6378–6396. doi: 10.1021/jp810292n. [DOI] [PubMed] [Google Scholar]
- 58.Subashchandrabose S., Krishnan A.R., Saleem H., Thanikachalam V., Manikandan G., Erdogdu Y., Ft I.R., Raman F.T. NMR spectral analysis and theoretical NBO, HOMO–LUMO analysis of bis (4-amino-5-mercapto-1, 2, 4-triazol-3-yl) ethane by ab initio HF and DFT methods. J. Mol. Struct. 2010;981:59–70. [Google Scholar]
- 59.Gunasekaran S., Balaji R.A., Kumeresan S., Anand G., Srinivasan S. Experimental and theoretical investigations of spectroscopic properties of N-acetyl-5-methoxytryptamine. Can. J. Anal. Sci. Spectrosc. 2008;53:149–162. [Google Scholar]
- 60.Abdulridha A.A., AlboHayAllah M.A., Makki S.Q., Sert Y., Salman H.E., Balakit A.A. Corrosion inhibition of carbon steel in 1 M H2SO4 using new Azo Schiff compound: electrochemical, gravimetric, adsorption, surface and DFT studies. J. Mol. Liq. 2020;315 doi: 10.1016/j.molliq.2020.113690. [DOI] [Google Scholar]
- 61.AlboHayAllah M.A., Balakit A.A., Salman H.I., Abdulridha A.A., Sert Y. New heterocyclic compound as carbon steel corrosion inhibitor in 1 M H 2 SO 4 , high efficiency at low concentration: experimental and theoretical studies. J. Adhes. Sci. Technol. 2023;37:525–547. doi: 10.1080/01694243.2022.2034588. [DOI] [Google Scholar]
- 62.Kosar B., Albayrak C. Spectroscopic investigations and quantum chemical computational study of (E)-4-methoxy-2-[(p-tolylimino)methyl]phenol. Spectrochim. Acta Mol. Biomol. Spectrosc. 2011;78:160–167. doi: 10.1016/j.saa.2010.09.016. [DOI] [PubMed] [Google Scholar]
- 63.Obi-Egbedi N.O., Obot I.B., El-Khaiary M.I. Quantum chemical investigation and statistical analysis of the relationship between corrosion inhibition efficiency and molecular structure of xanthene and its derivatives on mild steel in sulphuric acid. J. Mol. Struct. 2011;1002:86–96. doi: 10.1016/j.molstruc.2011.07.003. [DOI] [Google Scholar]
- 64.Rajamani T., Muthu S. Vibrational spectra, first order hyperpolarizability, NBO, Fukui function and HOMO–LUMO analysis of 2-[4-(1,3-benzodioxol-5-ylmethyl)-1-piperazinyl] pyrimidine. Spectrochim. Acta Mol. Biomol. Spectrosc. 2013;115:654–666. doi: 10.1016/j.saa.2013.06.040. [DOI] [PubMed] [Google Scholar]
- 65.Dhas D.A., Joe I.H., Roy S.D.D., Freeda T.H. DFT computations and spectroscopic analysis of a pesticide: chlorothalonil. Spectrochim. Acta Mol. Biomol. Spectrosc. 2010;77:36–44. doi: 10.1016/j.saa.2010.04.020. [DOI] [PubMed] [Google Scholar]
- 66.Ríos‐Gutiérrez M., Saz Sousa A., Domingo L.R. Electrophilicity and nucleophilicity scales at different DFT computational levels. J of Physical Organic Chem. 2023;36 doi: 10.1002/poc.4503. [DOI] [Google Scholar]
- 67.Ayers P.W., Parr R.G. Variational principles for describing chemical reactions: the Fukui function and chemical hardness revisited. J. Am. Chem. Soc. 2000;122:2010–2018. doi: 10.1021/ja9924039. [DOI] [PubMed] [Google Scholar]
- 68.Morell C., Grand A., Toro-Labbe A. Theoretical support for using the Δf(r) descriptor. Chem. Phys. Lett. 2006;425:342–346. doi: 10.1016/j.cplett.2006.05.003. [DOI] [Google Scholar]
- 69.Guerrab W., Chung I.-M., Kansiz S., Mague J.T., Dege N., Taoufik J., Salghi R., Ali I.H., Khan M.I., Lgaz H., Ramli Y. Synthesis, structural and molecular characterization of 2,2-diphenyl-2H,3H,5H,6H,7H-imidazo[2,1-b][1,3]thiazin-3-one. J. Mol. Struct. 2019;1197:369–376. doi: 10.1016/j.molstruc.2019.07.081. [DOI] [Google Scholar]
- 70.Demir S., Cakmak S., Dege N., Kutuk H., Odabasoglu M., Kepekci R.A. A novel 3-acetoxy-2-methyl-N-(4-methoxyphenyl)benzamide: molecular structural describe, antioxidant activity with use X-ray diffractions and DFT calculations. J. Mol. Struct. 2015;1100:582–591. doi: 10.1016/j.molstruc.2015.08.014. [DOI] [Google Scholar]
- 71.Kansız S., Dege N. Synthesis, crystallographic structure, DFT calculations and Hirshfeld surface analysis of a fumarate bridged Co(II) coordination polymer. J. Mol. Struct. 2018;1173:42–51. doi: 10.1016/j.molstruc.2018.06.071. [DOI] [Google Scholar]
- 72.Glendening E.D., Reed A.E., Carpenter J.E., Weinhold F. Gaussian, Inc.; Pittsburgh, PA: 2003. NBO. version 3.1. [Google Scholar]
- 73.Khamees H.A., Jyothi M., Khanum S.A., Madegowda M. Synthesis, crystal structure, spectroscopic characterization, docking simulation and density functional studies of 1-(3, 4-dimethoxyphenyl)-3-(4-flurophenyl)-propan-1-one. J. Mol. Struct. 2018;1161:199–217. [Google Scholar]
- 74.Mallem N., Khatmi D., Azzouz S., Benghodbane S., Yahia O.A. Computational studies of 1: 2 complex between retinol propionate and β cyclodextrin. J. Inclusion Phenom. Macrocycl. Chem. 2012;73:305–312. [Google Scholar]
- 75.Evecen M., Tanak H., Tinmaz F., Dege N., Ozer İlhan İ. Experimental (XRD, IR and NMR) and theoretical investigations on 1-(2-nitrobenzoyl)3,5-bis(4-methoxyphenyl)-4,5-dihydro-1H-pyrazole. J. Mol. Struct. 2016;1126:117–126. doi: 10.1016/j.molstruc.2016.01.069. [DOI] [Google Scholar]
- 76.Huo E., Shahab S., Saud S.A., Cheng W., Lu P., Sheikhi M., Alnajjar R., Kaviani S. Quantum chemical modeling, synthesis, spectroscopic (FT-IR, excited States, UV–Vis) studies, FMO, QTAIM, NBO and NLO analyses of two new azo derivatives. J. Mol. Struct. 2021;1243 doi: 10.1016/j.molstruc.2021.130810. [DOI] [Google Scholar]
- 77.Eaton D.F. Nonlinear optical materials. Science. 1991;253:281–287. doi: 10.1126/science.253.5017.281. [DOI] [PubMed] [Google Scholar]
- 78.Sun Y.-X., Hao Q.-L., Wei W.-X., Yu Z.-X., Lu L.-D., Wang X., Wang Y.-S. Experimental and density functional studies on 4-(3,4-dihydroxybenzylideneamino)antipyrine, and 4-(2,3,4-trihydroxybenzylideneamino)antipyrine. J. Mol. Struct.: THEOCHEM. 2009;904:74–82. doi: 10.1016/j.theochem.2009.02.036. [DOI] [Google Scholar]
- 79.Prashanth J., Ramesh G., Naik J.L., Ojha J.K., Reddy B.V., Rao G.R. Molecular structure, vibrational analysis and first order hyperpolarizability of 4-methyl-3-nitrobenzoic acid using density functional theory. OPJ. 2015;5:91–107. doi: 10.4236/opj.2015.53008. [DOI] [Google Scholar]
- 80.Chemical Thermodynamics: Advanced Applications - first ed., (n.d.). https://shop.elsevier.com/books/chemical-thermodynamics-advanced-applications/bath/978-0-12-530985-1 (accessed June 5, 2023).
- 81.Shoba D., Periandy S., Govindarajan M., Gayathri P. Spectroscopic and quantum chemical analysis of Isonicotinic acid methyl ester. Spectrochim. Acta Mol. Biomol. Spectrosc. 2015;136:852–863. doi: 10.1016/j.saa.2014.09.104. [DOI] [PubMed] [Google Scholar]
- 82.Zhang R., Du B., Sun G., Sun Y. Experimental and theoretical studies on o-, m- and p-chlorobenzylideneaminoantipyrines. Spectrochim. Acta Mol. Biomol. Spectrosc. 2010;75:1115–1124. doi: 10.1016/j.saa.2009.12.067. [DOI] [PubMed] [Google Scholar]
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Data Availability Statement
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