Abstract
The hydrogen-bond charge transfer complex (HB-CTC) formed between the donor, 1,10-phenanthroline (Phen), and the π-acceptor, p-nitrophenol (PNP), has been thoroughly investigated through theoretical studies. The molecular structure and the HOMO–LUMO energy gap (ΔEH–L) of this complex have been investigated by the density functional theory. This work has studied the HB-CTC complex through FTIR, 1HNMR, 13CNMR, and electronic absorption spectra. A molecular electrostatic potential surface (MESP) study allowed us to explore key aspects of intermolecular interaction. Moreover, reduced density gradient analysis was conducted to visualize valuable insights into non-covalent interactions within the complex components. Quantum Theory of Atoms in Molecules was used to analyze the interaction between the 1,10-phenanthroline and p-nitrophenol. The findings from this research not only enhance our understanding of HB-CT complexes but also highlight their exciting potential for innovative applications in various fields.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-026-38340-x.
Keywords: Charge transfer complex; Density functional theory; p-nitrophenol; 1,10-Phenanthroline; Reduced density gradient (RDG); Electrostatic potential surface (MESP)
Subject terms: Chemistry, Physics
Introduction
Charge-transfer complexes (CTCs) form when multiple molecules interact, where some serve as acceptors (A) and others as donors (D)1. The molecules assemble through resonance, facilitating charge transfer from D to A via charge transfer interactions and intermolecular hydrogen bonds2–4.
The Mulliken theory reveals an exact linear relationship between the energy of complex formation and the square root of charge magnitude. This critical relationship underscores the strong likelihood of interactions among components in the CTC system and highlights the charge’s pivotal role in shaping these dynamics5. Foster has conducted comprehensive studies on this complex6. Recent advancements in CTC design have enhanced their catalytic properties, selective guest entrapment, and drug-receptor binding. Additionally, CTCs play significant roles in various biological systems, including DNA binding, antifungal activity, and antimicrobial functions7–9.
Hydrogen bond-charge transfer (HB-CT) complexes are characterized by strong intermolecular interactions, with hydrogen bonds playing a vital role in stabilizing these systems10,11. The study of these complexes is significant in various fields, including material science12,13, organic chemistry14,15, photochemistry16,17, biological systems18, and biochemistry19,20, due to their diverse applications ranging from molecular recognition to energy harvesting. A crucial aspect of understanding these systems lies in their electronic absorption spectra, which provide insights into their electronic structure and charge transfer dynamics21,22. In HB-CT complexes, electrons transfer from the donor molecule to the acceptor, resulting in a charge-separated state. The degree of charge transfer and the environment surrounding the hydrogen bond both significantly affect the complex’s electronic properties23.
In recent years, complexes have constituted an interesting family of molecules for nonlinear optical (NLO) materials due to their unique electronic structure24. Complexes containing a ligand that readily undergoes reduction (di-thiolate) and another more prone to oxidation (di-imine) significantly absorb light in visible and ultraviolet spectra. The molecules can be tailored for prospective use as photosensitizers and photocatalysts25–27.
Significant theoretical progress has been made to enhance the understanding of the complex structure, electronic transitions, and dynamic interactions within charge-transfer complexes28. V. H. Rezvan and colleagues conducted an attractive study on a novel HB-CT complex formed through hydrogen bonding, with melanin acting as the electron donor and 1,4-dinitrobenzene as the electron acceptor. Their rigorous examination of the structure and properties of this complex, utilizing advanced spectroscopy techniques, unequivocally confirmed its stability. To enhance understanding, they used advanced computational methods to study the intermolecular interactions in the complex gas phase. Additionally, their thermodynamic analysis of the CTC formation provides crucial insights into the spontaneous formation and strong interactions among its components, insights that have significant potential for a variety of applications in chemistry. The natural bond orbital analysis provided a detailed view of electronic density distribution, charge-transfer pathways, and the underlying stabilization mechanisms within the complex, reinforcing the vital role this research could play in advancing our knowledge of charge-transfer processes29. In another study, a sophisticated CTC has been successfully synthesized using melamine as the hydrogen acceptor and 4-nitrobenzoic acid as the electron donor. The intricate characteristics of this complex were thoroughly investigated using advanced techniques such as IR, NMR, and UV–vis spectroscopy. Computational analysis conducted in the gas phase offered significant insights into the structure and stability of the complex, aligning well with the experimental results. The observed negative values for free Gibbs’ energy indicate the spontaneous formation of the complex. The negative entropy value further confirms its remarkable stability, suggesting significant potential for future applications30. Computational methods grounded in quantum chemistry offer valuable insights into charge-transfer interactions and hydrogen transfer between donors and acceptors31. Common functionals used include B3LYP, PBE0, and hybrid functionals, which balance accuracy and computational efficiency32,33.
Khan and colleagues successfully synthesized a fascinating HB-CTC between 1,10-phenanthroline (Phen) and p-nitrophenol (PNP) in methanol at room temperature (Fig. 1). Their extensive spectrophotometric analysis revealed a robust interaction between these two compounds, where p-nitrophenol acts as an effective π-acceptor (hydrogen donor) and 1,10-phenanthroline serves as an electron donor and hydrogen acceptor. The spectroscopic results showcased new bands indicative of complex formation alongside observable changes that underscore the significance of their findings. Furthermore, the study highlighted a significant CT interaction characterized by proton migration from the acceptor to the donor, reinforced by intermolecular hydrogen bonding described as N+-H–O-. Thermal analysis of the individual components and the resultant HB-CTC provided critical insights, revealing a significant weight loss at 142.2 °C due to crystallization, which coincided with a corresponding endothermic peak. This loss can be attributed to the decomposition of the HB-CTC into its constituent parts. Importantly, the researchers investigated the binding affinity of HB-CTC for calf thymus DNA, resulting in ground-breaking findings. Fluorescence spectroscopy confirmed a strong interaction between the HB-CTC and DNA, suggesting promising antibacterial and antifungal properties against various strains. This innovative work showcases the potential applications of the synthesized HB-CTC and paves the way for future research in bioactive materials34. The present work investigated the CT between the 1,10-phenanthroline and p-nitrophenol through density functional theory. Charge-transfer transitions between molecules were performed using the UV–Visible spectrum of the complex and natural bond orbital (NBO) analysis35. This paper investigates the electronic absorption spectra of hydrogen-bond charge-transfer complexes, emphasizing their formation, characterization, and the fundamental physical principles that govern their spectral properties. By analyzing experimental data and theoretical models, we seek to elucidate how the nature of hydrogen bonding influences CT mechanisms and, consequently, the observed spectral features. We also aim to highlight the significance of these complexes in broader chemical contexts, particularly concerning their roles in energy transfer processes and molecular recognition36. Through this exploration, we hope to contribute to a deeper understanding of the fundamental processes that define the behavior of HB-CT complexes and to pave the way for future research that could harness these remarkable properties for practical applications.
Figure 1.
Schematic formation of the HB-CT complex derived from 1,10-phenanthroline and p-nitrophenol.
DFT calculations
The molecular structures were drawn using GaussView 6.0 software37. Quantum calculations for structure optimization were performed using the Gaussian 09 package38. One of the quantum-computing techniques widely used to describe surface structures is DFT39. DFT computations have been performed on energy-minimized structures of free p-nitrophenol, 1,10-phenanthroline, and the HB-CT complex, have been predicted. Geometric optimizations were performed using DFT with Becke’s three-parameter hybrid exchange method40 for the charge-transfer complex. We utilized the Popel-B3LYP/6-311G(d,p) basis set41, which is crucial for providing accurate and reliable computational results. The hybrid functional B3LYP, originally designed to investigate vibrational absorption and circular dichroism42, has demonstrated remarkable computational efficiency, comprehensive applicability, and high precision. Its emergence marks a significant advancement in the field, offering an ideal balance that appeals to researchers seeking both quality and practicality in their computational studies. The B3LYP functional, combined with 6-311G (d,p) basis set, was selected to obtain optimized geometries and electronic properties for further analyses. Although it is known to have functional limitations in accurately describing long-range dispersion interactions, it provides sufficiently accurate results43 for the qualitative and comparative objectives of this study. This approach enhances the dependability of our findings and strengthens the overall outcomes of the research. Vibrations are calculated with the finite difference method44. The results from this method show that the infrared (IR) frequencies are all positive, supporting the idea that the optimized geometry corresponds to a minimum on the potential energy surface. This crucial observation underscores the validity of our results. Additionally, the bands identified in the FTIR spectra are elucidated through animated vibrational modes, offering remarkable precision and significantly deepening our understanding of their characteristics45. The ultraviolet–visible (UV–Vis) spectra of the title compounds were obtained using the TD-DFT method46. In this study, the chemical reactivity of the HB-CTC was analyzed by examining frontier molecular orbitals (FMOs), the HOMO–LUMO energy gap (ΔEH–L), interaction energy, interaction enthalpy, interaction entropy, and Gibbs free energy of interaction. We utilized the powerful visualization capabilities of Multiwfn 3.847 and VMD software48 to depict the three-dimensional structure of the RDG surface49. Calculated and experimental FTIR and UV–Vis spectra were compared to validate the computational models. Furthermore, reduced density gradient (RDG), natural bond orbital (NBO), and molecular electrostatic potential (MEP) analyses were performed to elucidate intermolecular interactions. Furthermore, the quantum theory of atoms in molecules (QTAIM) was employed to evaluate the molecular systems under the influence of the field effect. For this purpose, the AIM2000 software was used50. Frontier orbital (HOMO–LUMO), MEP, and AIM analyses were carried out using Density Functional Theory with the B3LYP functional and a 6-311G(d,p) basis set.
Results and discussion
Optimized molecular structures
DFT is employed to optimize the molecular geometry of the HB-CT complex. Accurate geometry is essential for understanding the nature of hydrogen bonds and calculating interaction energies. Figure 2 illustrates the optimized gas-phase geometries of the studied HB-CT complex, p-nitrophenol, and 1,10-phenanthroline, using distinct atomic numbering for clarity. The optimized geometries of p-nitrophenol (PNP, π-acceptor) and 1,10-phenanthroline (Phen, π-donor) are strategically aligned parallel to one another, subjected to a thorough re-optimization, and permitted to relax freely without any constraints. This approach ensures the most accurate and efficient interaction between these crucial compounds. The orientation of the two components in the HB-CT complex differs significantly from their original orientation. When donor and acceptor molecules come close together, the resulting complex [(Phen)(PNP)] can be understood as arising from the intermolecular hydrogen bonding. As illustrated in Fig. 2, the hydrogen-bonded NH bond lengths vary in strength, ranging from 1.866 to 2.605 Å. This range indicates that the intermolecular bond length of N…H–O, measuring 1.866 Å, corresponds to a strong hydrogen bond. In contrast, the intermolecular bond length of N…H-C, measuring 2.605 Å, indicates a moderate hydrogen bond or vdW interactions. There is only one type of H-bonding in [(Phen)(PNP)] complex. In this HB-CT complex, the donor molecule strategically engages the acceptor molecule through the aromatic nitrogen atom, highlighting a significant interaction. The approach of the donor molecule towards the nitrogen atom indicates that this nitrogen serves as the central point of donation. Selected bond distances of the optimized geometries of Phen, PNP, and [(Phen)(PNP)] at the B3LYP/6-311G (d, p) method in the gas phase are presented in Table 1. Following complexation, most bond lengths changed significantly, with some stretching while others stayed constant. This variability in bond length highlights the dynamic nature of molecular interactions and their impact on structural properties. This observation supports the evidence of the CT process, and similar findings have been documented in previous reports51,52 (see Table S1).
Figur 2.
Optimized structures of (a) p-nitrophenol, (b) 1,10-phenanthroline, and (c) [(Phen)(PNP)] complex in the gas phase, along with dipole moment vectors, GaussView 6 program were used to visualize the molecular graph37.
Table 1.
Selected optimized geometrical parameters (bond length, bond angle, and tortional angle) of 1,10-phenanthroline (Phen), p-nitrophenol (PNP), and [(Phen)(PNP)] complex in the gas phase.
| rO-H | rC-N | rO=N | rOC | θCOH |
|
|
|
|---|---|---|---|---|---|---|---|
| Phen | 0.967 | 1.301 | 1.359 | 1.365 | 110.5 | – | 179.7 |
| PNP | – | 1.349 | – | – | – | − 4.8 | – |
| Phen in CTC | 0.988 | 1.462 | 1.228 | 1.338 | 112.3 | – | 179.9 |
| PNP in CTC | 1.351 | – 0.5 | – |
Several important molecular parameters were assessed at the optimized geometries of the complex and its components, yielding exact findings. Atomic charge calculations revealed that CT occurred during complex formation. The optimized structure clearly illustrates the formation of two intermolecular hydrogen bonds, underscoring the strength of interactions during complex formation52. Hydrogen bonds are classified based on their donor–acceptor distances. Distances below 2.5 Å are categorized as strong, indicating predominantly covalent character. Distances between 2.5 and 3 Å are considered moderate and are characterized by electrostatic interactions. Lastly, distances between 3.0 and 4.0 Å are classified as weak, reflecting purely electrostatic bonding. Additionally, the strength of hydrogen bonds depends on the bond angle X–H–Y. A bond angle close to 180° significantly increases the strength of hydrogen bonds. The hydrogen bonds N21–H37–O36 and N22–H37–O36 illustrate this concept with bond lengths of 1.866 Å and 2.605 Å, respectively (see Fig. 2). The bond angles of the hydrogen bonds are recorded at 155.7° and 129.8°. The 155.7° angle in the N…H–O bond indicates an almost linear interaction, emphasizing the presence of strong hydrogen bonds that are essential for the formation of CTC. These strong hydrogen bonds are crucial for maintaining the integrity of the interactions between the acceptor and donor molecules, effectively facilitating the spontaneous formation of the HB-CTC.
Each distinct hydrogen bond between donor and acceptor molecules may be associated with a specific dihedral angle (
) that facilitates the interaction. When the relative orientation of the donor and acceptor moieties involves torsional freedom, each H-bond can correspond to a distinct
angle. These
angles often represent the twist between aromatic rings or planar groups and may also involve the donor-H… acceptor atom path. Our data show that the
angle of the donor component in HB-CTC is larger than that of the free donor species. A larger
angle suggests that the donor undergoes torsional twisting or reorientation upon participating in the HB-CTC. This change typically reflects a conformational adaptation to optimize non-covalent interactions, such as hydrogen bonding. In the free donor component, the donor may adopt a more planar or relaxed geometry. But, the HB-CTC, the increased
likely reflects a twist that better aligns the donor with the acceptor, facilitating hydrogen bonding and charge transfer. In contrast, the free acceptor exhibits a larger
angle than the acceptor within the HB-CTC. This larger
value indicates a more twisted structure and greater conformational freedom. Upon complex formation, the
angle of the acceptor decreases, reflecting a more planar and constrained geometry optimized for interaction within the HB-CTC. Figure 2 illustrates key intermolecular interactions. These geometric parameters confirm the presence of strong, directional hydrogen bonding, facilitating effective charge transfer and stabilizing the complex formation.
Thermochemistry
DFT allows the calculation of binding energies associated with the formation of HB-CT complexes. This involves evaluating the difference in electronic energy between the complex and its constituent parts53. The enthalpy of formation can be computed based on the optimized energies, providing insights into the stability of the HB-CT complex. From the calculated enthalpies and estimated entropies (obtained from vibrational frequency analysis), researchers can determine the formation Gibbs free energy (ΔG), indicating the spontaneity of the complex formation. DFT can quantify vibrational modes through normal mode analyses, enabling an estimation of the entropy change, which is essential for a complete thermodynamic profile54. In biological systems, DFT is extensively used to investigate enzyme–substrate interactions and DNA base pairing, where hydrogen bonding is crucial. Understanding the thermodynamics of these interactions helps in elucidating biological pathways55. The DFT study of thermochemistry in HB-CT complexes serves as a powerful tool for understanding the energetics and dynamics associated with hydrogen bonding and charge transfer56. The insights garnered from such studies have significant implications across various fields, including biochemistry, material science, and molecular electronics57.
Table 2 shows that the key statistical thermodynamic functions, including entropy (S) and zero-point vibrational energy, are computed to provide insights into molecular behavior. The zero-point energies, internal energy, enthalpy, Gibbs free energy, and entropy of a molecular system are determined through frequency calculations58. Specifically, the interaction enthalpy and Gibbs free energy were obtained using the following Eqs. (1, 2):
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1 |
![]() |
2 |
Table 2.
Calculated interaction energy(ΔEºint), interaction enthalpy (ΔHºint), interaction Gibbs free energy (ΔGºint), and correction for vibrational zero-point energy (ΔZPVE) for the studied complex in the gas phase (kcal/mol).
| (D)(A) complex | ΔEºint | ΔHºint | ΔZPVE | ΔGºint | -TΔS |
|---|---|---|---|---|---|
| [(Phen)(PNP)] | − 13.598 | − 14.186 | 1.064 | − 4.293 | 9.893 |
Here, ZPVE refers to the zero-point vibrational energy correction, Hthermal denotes the thermal enthalpy correction, and S represents the entropy obtained from vibrational frequency calculation59. The BSSE correction was evaluated according to the standard expression:
![]() |
3 |
where EBSSEE represents the counterpoise correction obtained from monomer calculations in the presence of ghost orbitals60. Essential thermodynamic properties have been examined for (Phen)(PNP) complex using the B3LYP/6-311G(d,p) method. According to thermodynamic principles, a spontaneous process requires the Gibbs free energy change (ΔG) to be negative. The Gibbs free energy value of − 4.293 indicates that the complex formation process is spontaneous (see Table 2).
The interaction energies of the studied system were computed using B3LYP, CAM-B3LYP, and ωB97XD functionals with the 6-311G(d,p) basis set. Both uncorrected and counterpoise-corrected energies were evaluated to assess the impact of the basis set superposition error (BSSE). The results are summarized in Table S2. The BSSE corrections are small for all methods, ranging from 0.004 to 0.005 Hartree, indicating that the chosen basis set is sufficiently large to minimize artificial stabilization due to basis set overlap. Among the functionals, ωB97XD predicts the most negative interaction energies, followed by CAM-B3LYP and B3LYP, reflecting slightly stronger predicted interactions. Overall, the minimal BSSE values demonstrate the reliability of the computed interaction energies at this level of theory.
Electronic absorption spectrum
The electronic absorption spectrum provides vital information about the energy levels of a molecule and the transitions between them61. Analyzing the electronic absorption spectra of HB-CT complexes allows researchers to glean important insights into their electronic structure, stability, and interaction dynamics62. UV–Vis spectroscopy provides experimental spectra that can be compared with theoretical models derived from quantum mechanical calculations63. For HB-CT complexes, the absorption spectra typically exhibit distinct features corresponding to various electronic transitions, including π-π* transitions. These often occur in the donor or acceptor moieties and are linked to the chromophores’ electronic energy levels. Unique to HB-CT complexes, these transitions involve the movement of charge from the donor to the acceptor. They are typically observed at longer wavelengths compared to traditional π-π* transitions and can appear as a broad band in the spectrum. The strength and nature of the hydrogen bond influence the position and intensity of the absorption bands. Stronger hydrogen bonds typically result in red shifts and increased absorption intensities due to enhanced electron delocalization. The solvent environment can significantly alter the absorption spectrum of HB-CT complexes. Polar solvents often stabilize the charge transfer state, leading to shifts in absorption maxima. These studies not only advance the fundamental understanding of HB-CT complexes but also indicate potential applications, including organic photovoltaics, sensors, and biochemical applications64.
Figure 3 shows the calculated UV–Vis spectra for (Phen), (PNP), and (Phen)(PNP) complex by the TD-DFT method. Table 3 presents the calculated and experimental maximum wavelengths for these compounds. Table 3 shows the CT band value for (Phen)(PNP) complex at 286 nm. The observed CT band at 286 nm in the UV–Vis spectrum is a spectroscopic signature confirming the HB–CT complex. It reflects an electronic transition arising from complex formation but does not constitute the underlying cause of the interaction (see Figure S1).
Figure 3.

Calculated UV–Vis absorption spectra of the compound obtained using different functionals (wb97xd and CAM-B3LYP), compared with the implicit solvation model of the complex in methanol.
Table 3.
Calculated and experimental maximum absorption wavelengths (λmax, nm) of the free donor (Phen), free acceptor (PNP), and their complex (Phen)(PNP).
| Compound | Experimental34 | Calculated |
|---|---|---|
| Phen | 275 | 300 |
| PNP | 300 | 320 |
| (Phen)(PNP) | 316 | 286 |
The experimental CT band appears in the range 230–316 nm, while TD-DFT calculations using the initial method (B3LYP/6-311G(d,p)) predict the corresponding transition at 286 nm. The remaining discrepancy (~ 0.41 eV) likely originates from limitations of the functional and vibronic effects in vertical excitations. Notably, inclusion of methanol as a solvent in the calculations slightly stabilizes the CT state and red-shifts the predicted wavelength, bringing the computational results closer to the experimental data. Using long-range corrected functionals, such as CAM-B3LYP or ωB97X-D, can improve the correlation with experimental observations.
Infrared vibrational spectra analysis
Analyzing infrared (IR) vibrational spectroscopy in HB-CT complexes involves understanding how CT alters molecular vibrations, particularly in systems where hydrogen bonds facilitate charge transfer65. Calculations based on quantum mechanics can predict vibrational spectra, thereby confirming experimental findings. This technique enhances understanding of hydrogen bonding dynamics and electron transfer by providing detailed information about couplings between different vibrational modes66. The IR vibrational spectroscopy of HB-CT complexes offers valuable insights into the nature of hydrogen bonding and CT mechanisms. By carefully analysis spectral features, researchers can gain a deeper understanding of molecular interactions within these complexes. Theoretical IR spectral analysis of HB-CT complexes typically employs computational methods to predict vibrational frequencies and intensities based on the complex’s molecular structure. Modes associated with strong dipole changes will appear as peaks in the IR spectra67. Each peak in the theoretical IR spectrum corresponds to a specific vibrational mode. Analyzing these peaks can provide insights into the bonding characteristics, hydrogen bonding interactions, and conformational dynamics of the complex. The strength and nature of hydrogen bonding in the complex will influence the vibrational frequencies, especially in the OH stretching region68.
The computational IR spectra of 1,10-phenanthroline (Phen), p-nitrophenol (PNP), and their complex are exhibited in Fig. 4 and Table S3. The molecule, in which N atoms with a non-linear structure, has a maximum of 3N-6 observable vibrational modes. Phen (C12H8N2), PNP (C6H5NO3), and (Phen)(PNP) (C18H13N3O3) compounds consist of 22, 15, and 37 atoms, leading to 60, 39, and 105 normal modes, respectively. The complex has 9 inactive vibrational modes with epsilon values of 0.0. The estimated vibrational spectra show no imaginary wave numbers, providing clear evidence that the optimized geometry represents a local minimum on the potential energy surface. DFT consistently overestimates vibrational wave numbers. However, we can improve the accuracy of our results by applying suitable scale factors to correct these discrepancies69. So, all wave numbers are multiplied by 0.967 (concerning the Computational Chemistry Comparison and Benchmark Database (CCCBDB)). A comparison of the wave numbers obtained shows that the B3LYP approach agrees with experimental observations because it includes electron correlation (see Table 4). The vibrational spectral assignments performed on the theoretically anticipated wave numbers by B3LYP/6-311G(d,p) are presented in Table 4. The differentiation of reactant molecules and the resulting complex shows a slight wavelength shift, providing strong evidence for the formation of the HB-CT complex and supporting our hypothesis. This shift in the bands is a direct result of the anticipated symmetry and charge distribution in the electronic structure following the formation of the complex. This understanding is crucial for advancing our insights into the system’s behavior. PNP acts effectively as an electron acceptor, suggesting that transferring a proton from PNP to Phen will likely produce a stable HB-CTC. The broad frequency reveals O–H stretching at 3237 cm−1 in PNP, which intriguingly shifts to 3208 cm−1 in the HB-CTC, highlighting the significant changes in molecular interactions. For individual PNP, the stretching frequency of the aromatic C–H bond in the HB-CTC shifts from 3154 to 3059 cm−1. A new vibrational band has identified at 3094 cm⁻1, corresponding to the stretching frequency specific to the HB-CT complex in the FT-IR spectrum. This particular frequency is notably missing in the spectra of free PNP and Phen, highlighting its significance in distinguishing the HB-CT complex. This band appears owing to the stretching vibration of a proton involved in the donor–acceptor site. The protonation of the nitrogen atom in Phen occurs through a proton transfer from the acidic hydroxyl group (-OH) on the PNP to the basic center on the nitrogen donor atom. As a result, the out-of-plane bending vibrational band of the C-H bond demonstrates a significant shift to 724 cm⁻1 in the complex compared to 760 cm⁻1 for Phen itself. These findings strongly support the CT process from Phen to PNP, highlighting the interactions at play. The observed proton transfer interaction in the complex is illustrated by the emergence of a new vibrational band at 3094 cm⁻1. This distinctive band can be confidently assigned to the ν(NH)/(O–H–N) stretching, highlighting the crucial hydrogen bonding between PNP and Phen. Infrared spectral studies showed that Phen interacted with PNP through CT and hydrogen bonding. The vibrational band observed at 3094 cm⁻1 was initially assigned to the N–H stretching vibration in the PNP–Phen complex. Although this position is lower than the typical range for free N–H stretching vibrations (3300–3500 cm⁻1), it can be rationalized by the specific nature of the interaction between PNP and Phen. In the complex, the phenolic –OH group of PNP interacts strongly with the nitrogen atom of Phen, leading to proton transfer or the formation of a strong hydrogen bond. This results in the protonation of the nitrogen center, generating an N–H⁺ bond.
Figure 4.

Theoretical (simulated) IR spectra related to (a) PNP, (b) Phen, and (c) [(Phen)(PNP)] complex.
Table 4.
Calculated and experimentally selected vibrational modes and their assignments for (Phen)(PNP) complex.
| Experimental67 | Calculated | Assignments |
|---|---|---|
| 3384 | 3239 | ν(O–H) of PNP; ν(+NH) |
| 3064, 2955, 2950 | 3115, 3096, 3088 | ν(C–H); aromatic of PNP |
| 2930, 2878, 2811, 2744, 2682, 2625 | 3094, 3090,3076, 3066, 3065, 3055, 3049 | ν(C–H); aromatic of Phen |
| 1650 | 1602, 1591, 1577, 1548, 1491 | ν(C=C); aromatic of Phen |
| 1597, 1583 | ν(C=C); aromatic of PNP | |
| 1592 | 1531 | νas(NO2); |
| 1494 | 1485 | ν(C–O) + ν(C=C) of Phen |
| - | 1480 | CH-bend; phenyl |
| 1422, 1334 | 1432, 1407 | νas(CN) |
| 1303, 1270 | 1296, 1284 | ν(C–O); C–OH |
| 1214, 1187 | 1324 | νs(NO2) |
| 1102, 1094 | 1192 | νs(CN) |
| 1042, 1009, 889, 840 | 1150, 1128, 1123, 1084 986 PNP | |
| 1082, 1063, of Phen | δ(CH); in-plane bend | |
| 766, 752, 730 | 951, 944 of PNP | |
| 971, 940, 937 of Phen | δ(CH); CH-rock | |
| 711, 688, 634, 622 | 875, 758, 699 | δ(NH); NH def |
| 535, 493, 465, 405 | 832, 753, 597, 544, 492, 400 of Phen | |
| 830, 806, 801, 677, 487, 413 of PNP | δ(CH); out-of-plan | |
| - | 622, 617, 438 | Skeletal vibrations for both molecules |
ν, stretching; δ, bending.
Protonated aromatic nitrogen systems are known to exhibit N–H⁺ stretching vibrations significantly red-shifted from those of neutral amines, commonly appearing in the 3100–3200 cm⁻1 region. Moreover, extensive hydrogen bonding with the conjugate base can further lower the stretching frequency. Therefore, the band at 3094 cm⁻1 is consistent with an N–H⁺ stretching vibration in a strongly hydrogen-bonded or protonated heteroaromatic system. This interpretation is supported by the disappearance of the free O–H stretching band of PNP and the spectral differences between the free ligand and the complex.
NMR spectroscopy
The study of NMR spectra in HB-CT complexes using DFT is an important aspect of understanding the molecular structure, dynamics, and properties of these interactions. NMR spectroscopy provides valuable information about the local environment of nuclei within a molecule, and DFT calculations can help quantitatively interpret NMR data70. Optimized structures provide a reliable foundation for subsequent NMR calculations and facilitate a more accurate interpretation of chemical shifts. DFT calculations often involve comparing the nuclear shielding in a molecule with that of a reference compound, typically in a standard environment such as TMS for proton NMR71. DFT calculations can help clarify how these interactions affect the local electron density around the nuclei, resulting in observable changes in the NMR spectrum. For instance, the proton resonances of hydrogen-bonded protons may shift downfield due to decreased magnetic shielding from the electron-withdrawing nature of the hydrogen bond. While DFT is more efficient than some quantum mechanical methods, calculating NMR parameters for complex systems can still be computationally intensive72.
The NMR chemical shift calculations in this study were performed using the Gauge-Independent Atomic Orbital (GIAO) method. The GIAO formalism is one of the most reliable and widely applied quantum chemical approaches for computing nuclear magnetic shielding tensors. In the GIAO approach, the basis functions are modified by incorporating the effect of the external magnetic field directly into the wave function. This leads to gauge-origin independent results, improving both the accuracy and stability of the predicted chemical shieldings. Owing to these advantages, GIAO has become the standard method for theoretical NMR chemical shift calculations, especially when combined with DFT. Numerous studies have demonstrated that GIAO-DFT calculations yield chemical shifts in excellent agreement with experimental data for a wide range of organic, organometallic, and coordination compounds73. In this study, the GIAO method was utilized at the B3LYP/6-311G (d,p) level of theory to calculate NMR chemical shifts of [(Phen)(PNP)] complex.
1HNMR spectrum
The chemical shift values of the donor and acceptor components in the 1HNMR spectrum of the charge transfer complex were compared with those of the free molecules74. This is similar to the 1HNMR spectrum of [(Phen)(PNP)] complex75. The phenolic proton in the complex (d = 12.42 ppm76), indicating a strong hydrogen bond with a nitrogen atom in Phen. A notable peak has emerged in the spectrum of the complex at 3.32 ppm (broad singlet, 1H, +N–H of CTC), strongly indicating the presence of the +NH proton. This observation pertains to the proton transfer from PNP to Phen molecule, highlighting the significant role of the phenolic group (AOH) and one nitrogen atom from Phen. The doublets at d = 6.91 ppm and d = 8.10 ppm have been assigned to one of each of the two protons of the same type in the PNP component of the complex. In the free PNP, these protons were observed at d = 6.95 ppm and d = 8.25 ppm, respectively77. The observed displacement shifts for chemical shifts highlight a significant increment in electron density within the complex’s PNP section. This increase is predominantly due to the (N+H) charge transfer interaction between Phen and PNP molecules. The triplet and singlet peaks at d = 7.75 ppm and d = 7.99 ppm demonstrate only a minor change in chemical shift. These peaks correspond to one of the two protons in the complex. Furthermore, the complex spectrum reveals two doublets at d = 8.477 ppm and d = 9.09 ppm, suggesting each peak is allocated to the two protons.
Figure 5 illustrates the 1HNMR spectrum of the complex settled in the presence of DMSO-d6. The primary purpose of the 1HNMR spectrum is to indicate the presence of the CT interactions in the HB-CT complex and emphasize the resulting proton transfer interactions within this complex. 1HNMR of the resulting complex displays thirteen distinct peaks with a broad signal of the -OH group at (12.42, s, H) (see Table 5. This high-field shift in the proton signal of PNP reinforces the conclusion that a HB-CT complex is formed, highlighting the interaction between PNP and Phen.
Figure 5.
Calculated 1HNMR spectrum of [(Phen)(PNP)] complex in DMSO-d6 solvent.
Table 5.
Calculated and experimental chemical shifts (in ppm) of [(Phen)(PNP)] complex in the 1HNMR spectrum.
| Types of H atoms | δ (ppm) | |
|---|---|---|
| Experimental67 | Calculated | |
| H17 | – | 9.19 |
| H15 | – | 7.65 |
| H19 | – | 7.73 |
| H18 | 7.75 | 7.93 |
| H14 | 8.48 | 7.97 |
| H31 | 6.91 | 8.03 |
| H30 | 8.10 | 8.28 |
| H32 | – | 7.21 |
| H29 | – | 6.94 |
| H20 | – | 9.26 |
| H37 | 10.77 | 12.42 |
| H11 | 7.99 | 8.37 |
| H16 | 9.09 | 8.29 |
13CNMR spectrum
We obtained the 13CNMR spectrum in DMSO-d6 solvent to confirm the formation of HB-CTC and the hydrogen bonding interactions between Phen and PNP. The spectrum of Fig. 6 indicates distinct peaks for the carbons of PNP and Phen, providing clear evidence of the formation of the HB-CTC. The increase of electron density in Phen resulting from the CT from PNP led to a displacement shift in the carbon atoms of Phen, indicating movement toward lower chemical shift values. In pure Phen, the carbon atoms of C2 and C10, C12 and C1, CH13 and CH5 are chemically equivalent and exhibit identical chemical shifts. However, in the [(Phen)(PNP)] complex, these carbons become inequivalent; for instance, δ(C2) = 139.16 and δ(C10) = 140.43. This difference is significant for the formation of the [(Phen)(PNP)] complex (see Table 6).
Figure 6.
Calculated 13CNMR spectrum of [(Phen)(PNP)] complex in DMSO-d6 solvent.
Table 6.
Calculated chemical shifts (in ppm) of [(Phen)(PNP)] complex in the 13CNMR spectrum.
| Types of C atoms | Chemical shifts (ppm) |
|---|---|
| C28 | 171.62 |
| CH5 | 154.33 |
| CH13 | 152.61 |
| C2 | 139.16 |
| C10 | 140.43 |
| C25 | 145.68 |
| C4 | 150.03 |
| C7 | 150.21 |
| C27 | 116.68 |
| C23 | 118.30 |
| C12 | 126.41 |
| C1 | 126.77 |
| C26 | 129.21 |
| C24 | 129.95 |
| C9 | 130.15 |
| C6 | 131.59 |
| C3 | 132.61 |
| C8 | 132.86 |
Frontier molecular orbitals (FMOs) analysis
The nature of the HOMO and LUMO (FMOs), as well as the energy gap between them, is fundamental in understanding molecular chemical reactivity and kinetic stability78,79. By examining these key features, one can gain invaluable insights into how a molecule behaves. Figure 7 presents 3D plots of FMOs, effectively showcasing the significant gap between HOMO and LUMO orbitals. These HOMO and LUMO plots show the CT within a molecule80. The positive phase is indicated by red, while the negative phase is represented by green. It was striking to observe that the HOMO and LUMO were extensively placed across the entire molecule, highlighting the unique electronic properties it possesses. The charge delocalization, kinetic stability, and chemical reactivity of the complex can be effectively elucidated by analyzing its orbitals and corresponding energy levels. A detailed HOMO–LUMO analysis of (Phen)(PNP) complex reveals that HOMO is localized on PNP, whereas LUMO is placed on Phen. This clear separation between the HOMO and LUMO indicates that the electronic transition represented by the HOMO–LUMO energy gap (ΔE(H–L)) corresponds to an interfragmentary CT process rather than a delocalized or intramolecular excitation within a unified electronic system. Therefore, while the computed ΔE (H–L) still provides a qualitative measure of the energetic feasibility of CT between fragments, it cannot be interpreted as a direct measure of the intrinsic electronic excitation energy of the entire complex. In other words, ΔE (H–L) in this case represents the energy cost of electron transfer from the donor to the acceptor moiety, rather than a pure intramolecular transition. The energy gap between the HOMO and LUMO levels is 3.89 eV, a value calculated using the B3LYP/6-311G(d,p) method. This significant finding underscores the potential implications for electronic properties and behaviors in our research. Additionally, the HB-CT complex exhibits a high dipole moment of 11.63 Debye, attributed to electronic and nuclear contributions, indicating significant stability. The large value of the dipole moment acts as a driving force behind the formation of (Phen)(PNP) complex.
Figure 7.
HOMO and LUMO plots for [(Phen)(PNP)] complex (The surfaces were generated from the Gaussian output at the optimization level of theory and visualized by GaussView 6 software)37.
Table 7 presents calculated dipole moment (μ, Debye) and frontier molecular orbital energies (in eV) for 1,10-phenanthroline, p-nitrophenol, and their HB-CTC in the gas phase. An energy gap of 3.89 eV between the HOMO and LUMO in [(Phen)(PNP)] tells us the complex is relatively stable electronically, with limited low-energy charge transfer absorption, primarily absorbing UV light. In applications such as dyes or optoelectronic materials, a smaller gap generally favors visible light absorption, so this complex would be more UV-active.
Table 7.
Calculated dipole moment (μ, Debye), energy gap (ΔE(H–L), eV), and frontier molecular orbital energies (in eV) for 1,10-phenanthroline, p-nitrophenol, and [(Phen)(PNP)] complex in the gas phase.
| Compound | µ | EHOMO | ELUMO | ΔE(H–L) |
|---|---|---|---|---|
| Phen | 3.19 | − 6.49 | − 1.67 | 4.81 |
| PNP | 5.62 | − 7.09 | − 2.44 | 4.64 |
| [(Phen)(PNP)] | 11.63 | − 6.22 | − 2.34 | 3.89 |
Polarizability and hyperpolarizability
Anticipating the non-linear optical (NLO) properties of molecules using quantum chemistry aids in understanding how electron density is bonded and delocalized. This process involves transitioning from occupied Lewis-type natural bond orbitals (NBOs), which act as electron donors, to appropriately unoccupied non-Lewis-type orbitals. These concepts are essential in designing materials used in modern information technology, signal processing, and integrated photonics81. Organic compounds are a focal point in research due to their remarkable NLO susceptibilities, primarily driven by the movement of π-electron clouds from donor to acceptor sites. Their rapid NLO response times, outstanding laser damage thresholds, and remarkably poor dielectric constants further enhance their appeal. Organic molecules typically exhibit low thermal stability and can rapidly adopt random orientations, which may impede their effectiveness in various applications. Despite these concerns, the potential benefits of organic molecules in NLO applications warrant further exploration and development82. Polarizability plays a significant role in HB-CT complexes by influencing the strength and nature of molecule interactions. It contributes to the stabilization of the HB-CT complex by enhancing dispersion and induction interactions; however, this effect is distinct from the electrostatic component of the hydrogen bond. When a molecule can easily distort its electron cloud, it can better interact with the proton of the hydrogen bond donor. In HB-CT complexes, the ability of molecules to polarize can facilitate the movement of charge from donor to acceptor. Increased polarizability typically leads to more stable complexes due to stronger electrostatic interactions83.
In spectroscopic studies, such as UV–Vis or IR spectroscopy, polarizability affects transition dipole moments, thus influencing absorption characteristics84. The calculated average polarizability (αave) of Phen, PNP, and [(Phen)(PNP)] complex is detailed in Table 8. According to the data in this table, the value of αave for the HB-CT complex is 35.25 × 10–24 esu. This value is more than the components of (Phen)(PNP) complex, which means better CT between Phen and PNP and more stability of the formed complex.
Table 8.
Calculated average polarizability (αave) and first-order hyperpolarizability (βtotal) for urea, (Phen)(PNP) complex, Phen, and PNP.
| Compound | αave (in a.u.) | αave (in esu) | βtotal (in a.u.) | βtotal (in esu) |
|---|---|---|---|---|
| (Phen) | 145.97 | 21.63 × 10–24 | 74.67 | 0.65 × 10–30 |
| (PNP) | 82.08 | 12.16 × 10–24 | 831.60 | 7.19 × 10–30 |
| [(Phen)(PNP)] | 237.89 | 35.25 × 10–24 | 1376.10 | 11.89 × 10–30 |
| 0.60 × 10–30 | ||||
| Urea | 28.00 | 4.15 × 10–24 | 69.95 | 0.1947 × 10–30 84 |
The first-order hyperpolarizability (βtotal) of Phen, PNP, and (Phen)(PNP) complex is comprehensively detailed in Table 8, highlighting their significance in understanding the compound’s properties. The tensor components of the static first hyperpolarizability have been measured precisely through the identical method. By leveraging these computed tensor components, we can effectively determine βtotal for Phen, PNP, and (Phen)(PNP) complex. The β tensor is derived by incorporating Kleiman symmetry equations, coupled with the squared norm of the Cartesian expression, ensuring a robust and comprehensive calculation85. The expressions utilized for the calculations are outlined below, emphasizing their critical importance in achieving accurate and reliable results86.
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4 |
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The calculated βtotal value for (Phen)(PNP) complex is 11.89 × 10–30 esu. In contrast, the determined value for urea (a standard NLO material) using the B3LYP/6-311G(d,p) method is only 0.60 × 10–30 esu. Remarkably, βtotal of the complex is 20 times higher than that of urea. This significant difference suggests that the title complex holds a promising candidate for developing NLO materials.
Natural bond orbital (NBO) analysis
The NBO analysis is a powerful method for investigating all potential interactions between ‘filled’ (donor) Lewis-type NBOs and ‘empty’ (acceptor) non-Lewis NBOs. We can accurately assess their energetic significance by employing second-order perturbation theory, supplying valuable insights into molecular behavior87. Interactions that result in the loss of occupancy from the localized NBOs of the idealized Lewis structure into the unoccupied non-Lewis orbitals are termed delocalization corrections to the zeroth-order natural Lewis structure88. Unlike a standard Lewis structure, which does not account for antibonding orbitals, their presence highlights important deviations. Recognizing these deviations enhances our comprehension of molecular bonding and stability. Anti-bonding localized orbitals, often known as non-Lewis NBOs, play a crucial role in molecular interactions89. When their occupancy deviates from the ideal value of 2.0, it leads to noticeable variations from the expected Lewis structure. We employed a donor–acceptor interaction approach, providing valuable insights into the complexities of molecular behavior. The stabilization process hinges critically on the interactions between LUMO and HOMO orbitals. This calculation is performed through Eq. 5, highlighting the sophistication of molecular behavior.
![]() |
5 |
where εj(NL) represents the non-Lewis NBO energy, εi(L) denotes the Lewis NBO energy, and Fij signifies the off-diagonal NBO Fock matrix element90. As a result, a higher probability of transferring electrons to acceptor orbitals increases stabilization energy. Our comprehensive NBO analysis of the complex system and its components shows significant insights. These findings are summarized in Table 9 and are also referenced in Table S4.
Table 9.
NBO atomic charges of Phen, PNP in pure forms, and (Phen)(PNP) complex at the B3LYP/6-311G (d, p) level of theory.
| NBO atomic charges [in the electronic charge units] | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| PNP (pure) | PNP in [CTC] | Δδ | Phen (pure) | Phen in [CTC] | Δδ | ||||
| O14 | − 0.348 | O36 | − 0.69 | − 0.342 | N21 | − 0.186 | N21 | − 0.454 | − 0.168 |
| H15 | 0.263 | H37 | 0.515 | 0.252 | C5 | 0.066 | C5 | 0.091 | 0.025 |
| C6 | 0.181 | C28 | 0.379 | 0.198 | H17 | 0.107 | H17 | 0.19 | 0.083 |
| C1 | − 0.099 | C23 | − 0.257 | − 0.158 | C1 | − 0.170 | C1 | − 0.229 | − 0.059 |
| H7 | 0.119 | H29 | 0.216 | 0.097 | H15 | 0.099 | H15 | 0.213 | 0.114 |
| C7 | − 0.041 | C24 | − 0.168 | − 0.127 | C2 | 0.040 | C2 | − 0.139 | − 0.179 |
| H8 | 0.138 | H30 | 0.233 | 0.095 | H16 | 0.092 | H16 | 0.208 | 0.116 |
| C3 | 0.100 | C25 | 0.019 | − 0.081 | C3 | − 0.069 | C3 | − 0.084 | − 0.015 |
| N11 | 0.171 | N33 | 0.513 | 0.342 | C6 | − 0.054 | C6 | − 0.167 | − 0.113 |
| O12 | − 0.275 | O34 | − 0.404 | − 0.129 | H14 | 0.088 | H14 | 0.208 | 0.12 |
| O13 | − 0.277 | O35 | − 0.407 | − 0.13 | C9 | − 0.055 | C9 | − 0.173 | − 0.118 |
| C4 | − 0.044 | C26 | − 0.167 | − 0.123 | H18 | 0.088 | H18 | 0.208 | 0.12 |
| H9 | 0.138 | H31 | 0.232 | 0.094 | C8 | − 0.073 | C8 | − 0.083 | − 0.01 |
| C5 | − 0.129 | C27 | − 0.281 | − 0.152 | C10 | 0.042 | C10 | − 0.132 | − 0.174 |
| H10 | 0.104 | H33 | 0.221 | 0.117 | H11 | 0.092 | H11 | 0.209 | 0.117 |
| C12 | − 0.171 | C12 | − 0.231 | − 0.06 | |||||
| – | H19 | 0.099 | H19 | 0.215 | 0.116 | ||||
| – | – | – | – | – | C13 | 0.067 | C13 | 0.0971 | 0.0301 |
| H20 | 0.108 | H20 | 0.194 | 0.086 | |||||
| N22 | − 0.289 | N22 | − 0.49 | − 0.201 | |||||
| C7 | 0.091 | C7 | 0.204 | 0.113 | |||||
| C4 | 0.087 | C4 | 0.191 | 0.104 | |||||
| Sum | − 0.046 | 0.046 | |||||||
The oxygen atoms within the nitro functional group (− NO2) on the HB-CTC have a notably greater negative partial charge than those in PNP. This observation holds, even though after the formation of the complex, the arrangement of the molecules leads to a reduction in the negative charge of the N11 atom, resulting in a more positive character for that atom. The NBO charge sum analysis reveals that, within the complex, Phen and PNP exhibit total atomic charges of + 0.046 e⁻ and –0.046 e⁻, respectively. This indicates that Phen donates electron density while PNP acts as the electron acceptor. Such charge redistribution suggests effective orbital overlap and strong donor–acceptor interactions, contributing to the overall stability of the complex. Therefore, based on the NBO charge data, the CTC formed between Phen and PNP is stable, with Phen serving as the electron donor and PNP as the electron acceptor. These findings are consistent with expected CT behavior and support the presence of a directional and stabilizing interaction. A larger NBO charge sum for the donor in the CTC reflects a loss of electron density compared to its free form, consistent with electron donation through CT interactions or hydrogen bonding. Conversely, a smaller NBO charge sum for the acceptor in the CTC compared to the free acceptor indicates a gain in electron density. In the complex, the acceptor gains a more negative charge as it takes up electrons. This pattern confirms the typical behavior of donor–acceptor complexes, where electrons flow from donor to acceptor, and the NBO charge analysis effectively captures this redistribution.
Analysis of molecular electrostatic surface potential (MESP)
The molecular electrostatic potential surface (MESP) is an invaluable visual tool for comprehensively comprehending the relative polarity of different compounds91. Figure 8 shows the electrostatic potential map, providing a detailed view of the three-dimensional charge distributions within the molecule. Understanding charge distributions is essential as they offer valuable insights into molecular interactions. One purpose of determining the electrostatic potential is to recognize a molecule’s reactive site, significantly improving our ability to predict its chemical behavior and reactivity92,93. The electrostatic potential map reveals semi-spherical blue shapes emerging from the edges, representing the presence of hydrogen atoms. MEP at a specific point r in the space, surrounding a molecule (in atomic units), can be articulated as follows94:
![]() |
6 |
Figure 8.
MEP surfaces of (a) p-nitrophenol, (b) 1,10-phenanthroline, and (c) [(Phen)(PNP)] complex at an iso-density surface of 0.002 a.u
In Eq. 6,
demonstrates the charge on nucleus A, located at position
. The function ρ(r ´) signifies the electronic density of the molecule. The first term represents the potential arising from the contribution of the nuclei, while the second term reflects the potential associated with the electrons. The function V(r) displays the complete electrostatic effect at point r, resulting from the electrons and nuclei within the molecule95.
Figure 8 illustrates the MESP-mapped surface of Phen, PNP, and [(Phen)(PNP)] complex, along with its projections in both the molecular and the perpendicular planes. These images present the electrostatic potential model of the compounds, calculated at an iso-density surface of 0.002 a.u96. Figure 9 illustrates the electrostatic potential contour map for both positive and negative potentials, a potent tool for understanding molecular interactions. In the MESP map, regions with negative electrostatic potentials are vividly represented in red, with deeper shades indicating stronger potential energy. Positive potentials are exhibited in blue, while green zones signify regions where potentials hover near zero. This figure effectively illustrates the chemically active sites and highlights the comparative reactivity of various atoms. The electrostatic potential shapes at these sites correspond closely to the polar groups, highlighting their importance in chemical interactions. Oxygen atoms with lone pairs create localized areas of negative electrostatic potential, while the bonded nitrogen in the ring generates a corresponding positive potential in the surrounding regions. Notably, a pronounced local positive electrostatic potential (represented in blue) is on the hydrogen atoms involved in both Phen and PNP bonds. Green regions represent the areas of the molecule where electrostatic potentials are effectively minimized. This zone of negligible potential encompasses the π system of the aromatic rings, making the adjacent plane of hydrogen atoms significantly more electrophilic.
Figure 9.
MEP mapped onto the van der Waals surface with a color scale ranging from negative (red) to positive (blue) for (a) p-nitrophenol, (b) 1,10-phenanthroline, and (c) [(Phen)(PNP)] complex, GaussView 6 program were used to visualize the molecular graph37.
Reduced density gradient (RDG) analysis
The RDG analysis offers a visual representation of intra- and inter-non-covalent interactions (NCI) regions. This invaluable tool is grounded in the foundational work of Johnson97. The Reduced Density Gradient (RDG) values were computed using the Multiwfn program47, setting the stage for insightful analysis. We then generated 2D gradient subsurface plots of RDG against the electron density ρ(r), incorporating the sign of the second Hessian eigenvalue ρ(λ2). This advanced visualization, produced with Multiwfn version 3.898, provides deeper insight into the data. Finally, the powerful capabilities of VMD version 1.9.499 were used to vividly illustrate the isosurface gradient derived from the Multiwfn output, providing a clear representation of our findings. By examining the sign of ρ(λ2), we can discern the strength of these diverse interactions. The nature of interactions is determined by the sign of ρ(λ2): it is repulsive for sign ρ(λ2) > 0, attractive for sign ρ(λ2) < 0, and weak for Van der Waals when sign ρ(λ2) approaches zero. The value of λ2 varies within the range of -0.05 a.u. to 0.05 a.u., and the colors of the surfaces are based on a scale of blue, green, and red, which correspond to the values of λ2. Blue indicates strong intermolecular forces, while red signifies the repulsive steric interactions between atoms. The green spikes show weak noncovalent interactions, including dipole–dipole and London dispersion forces100,101.
The blue color flakes observed between Phen (specifically the hydrogen atom of the hydroxyl group, –OH) and PNP (associated with the nitrogen atom) are illustrated in Fig. 10. This observation suggests the presence of strong non-covalent interactions and hydrogen bonds, as indicated by λ2(r) < 0 for the iso-surface of RDG < 0.5. A spike is observed in the region where λ2(r) < 0, specifically in the low-density area (between -0.04 a.u. and -0.035 a.u.). The low gradient in this region indicates a strong and stable interaction between Phen and PNP. These findings are consistent with the results from the previous sections. Furthermore, the green spikes ranging from 0 a.u. to -0.01 a.u. in the RDG scatter graphs of [(Phen)(PNP)] complex signify weaker dispersion forces. Additionally, the flaky region between 0.00 a.u. and 0.01 a.u. in the RDG plot confirms the presence of O–H…π interactions, represented by red and green colors, which occur between hydrogen atoms of Phen and π-electrons of PNP. Lastly, red color spikes in the region where sign ρ(λ2) > 0 indicate the repulsion forces between the carbon atoms of the aromatic rings in the molecules.
Figure 10.
The gradient iso-surfaces and scatter graphs of [(Phen)(PNP)] complex based on 1,10-phenanthroline and p-nitrophenol. The Multiwfn 3.898 and VMD 1.9.499 programs were used to visualize the 3D-NCI map and RDG plot.
Topological analysis
AIM (Atoms in Molecules) analysis was employed to determine the locations and properties of the electron density within molecules102–104. According to AIM theory, critical points in electron density are categorised into four types: atomic (ACP), bond (BCP), ring (RCP), and cage (CCP). The identification and characterization of intermolecular interactions are primarily influenced by the electron density and its Laplacian. This study presents a topological analysis of the electron density for the complex formed between Phen and the π-acceptor PNP, to elucidate both intermolecular and intramolecular interactions. The electron density value,
, and the sign of its Laplacian,
, at the bond critical point (BCP), provide insight into the nature of the bonding between atoms. A negative
combined with a high
value is indicative of shared-shell interactions, characteristic of covalent bonding (see Fig. 11).
Figure 11.

Molecular graph of the crystal packing of [(Phen)(PNP)] complex, AIM 2000 program were used to visualize the molecular graph105.
According to the data reported in Table 10, for all three cases of the Phen C–H···PNPN interaction, the small value of
, the positive value of
, along with a
ratio close to 1 indicates that this type of interaction is ionic in nature. In contrast, for the interaction between the H atom (from—OH) of Phen molecule and the N atom of the π-acceptor PNP, a small value of
, a positive
that is lower than that observed for the PhenC–H– PNPN interaction, and a G(r)/|V(r)| ratio greater than 1 is observed, all of which confirm the presence of a hydrogen bond between H and N.
Table 10.
Calculated AIM parameters of critical points (CPs) of [(Phen)(PNP)] complex.
| Properties | Phen C–H– PNPN | Phen O–H– PNPN |
|---|---|---|
|
6.19E−03 | 3.58E−02 |
|
1.86E−02 | 9.64E−02 |
|
2.61E−02 | 3.94E−03 |
|
− 7.07E−04 | 1.95E−03 |
|
− 4.65E−03 | − 2.41E−02 |
|
2.80E−02 | 3.23E−03 |
| G(r)/|V(r)| | 9.30E−01 | 1.22 |
*Units for reported values are: ρ(r)\e/bohr3, ∇2ρ(r)\ e/bohr5, G(r), V(r), L(r), and K(r): Hartree/bohr3.
Conclusion
The successful synthesis of the HB-CT complex between 1,10-phenanthroline and p-nitrophenol has significant implications and was thoroughly investigated using advanced computational methods. Using MESP topology analysis, we highlighted the complex’s promising chemical reactivity. Notably, Natural Bond Orbital (NBO) analysis confirmed the essential charge transfer between the active sites, demonstrating the intricate interactions at play. Reduced Density Gradient (RDG) analysis was utilized, providing a clear visualization of the non-covalent interactions that enrich the stability and efficacy of the complex. Frontier molecular orbital analysis revealed a significant charge transfer, and the calculated NLO parameters demonstrated promising nonlinear optical properties. These findings suggest this complex has potential applications in optoelectronic and photonic technologies.
The electronic absorption spectra of hydrogen bond-charge transfer complexes reveal critical information about the electronic transitions and interactions within these fascinating molecular systems. By studying these spectra, we gain valuable insights into the fundamental principles governing molecular interactions and the potential applications of HB-CT complexes in various scientific and technological domains. Continued research in this area may lead to innovative strategies for harnessing the unique properties of these complexes in practical applications.
Polarizability is crucial for understanding the properties and effectiveness of hydrogen bond-charge transfer complexes. It directly influences their stability, interaction strength, and dynamic behavior. As such, polarizability is a critical element across diverse fields, including molecular chemistry, biochemistry, and materials science. Understanding this property is essential for advancing research and technological applications in these areas.
Supplementary Information
Below is the link to the electronic supplementary material.
Author contributions
“Vahideh Hadigheh Rezvan . Conceptualization, Methodology, Formal Analysis, Writing – Original Draft Preparation and Samaneh Barani Pour . Data Curation, Investigation, Visualization, Writing – Review & Editing. Mitra Dabbagh Hosseini Pour. Supervision, Project Administration, Validation, Writing – Review & Editing. Jaber Jahanbin Sardroodi. Software, Resources, Formal Analysis, Writing – Review & Editing. All authors have read and approved the final version of the manuscript.”
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Data availability
Data is provided within the manuscript or supplementary information files.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Shen, D., Chen, W. C., Lo, M. F. & Lee, C. S. Charge-transfer complexes and their applications in optoelectronic devices. Mater. Today Energy20, 100644–100658 (2021). [Google Scholar]
- 2.Thomas, M. B. et al. Acceleration and stabilization of electron transfer products with improved quantum yields upon cation binding to a fused Bis-zinc porphyrin-Quinone donor-acceptor conjugate. J. Phys. Chem. C123, 22066–22073 (2019). [Google Scholar]
- 3.Whang, D. R. & Apaydin, D. H. Artificial photosynthesis: Learning from nature. ChemPhotoChem2, 148–160 (2018). [Google Scholar]
- 4.Yan, Q., Luo, Z., Cai, K., Ma, Y. & Zhao, D. Chemical designs of functional photoactive molecular assemblies. Chem. Soc. Rev.43, 4199–4221 (2014). [DOI] [PubMed] [Google Scholar]
- 5.Shukla, M., Srivastava, N. & Saha, S. Investigation of ground state charge transfer complex between paracetamol and p-chloranil through DFT and UV–visible studies. J. Mol. Struct.1021, 153–157 (2012). [Google Scholar]
- 6.Foster, R. Organic Charge-Transfer Complexes (ed. Foster, R.) 472 (Academic Press, 1969).
- 7.Barlin, G.B., The chemistry of heterocyclic compounds (ed. Barlin G.B.) 687 (Wiley, 2009).
- 8.Guttmann, F., Johnson, C., Keyzer, H. & Molnar, J. Charge-transfer complexes in biochemical systems. Ann. N. Y. Acad. Sci.158, 148–160 (1997). [Google Scholar]
- 9.Mandal, R. & Lahiri, S. C. Interactions of L-amino acids with metronidazole and tinidazole. J. Indian Chem. Soc.76, 347–349 (1999). [Google Scholar]
- 10.Fenby, D. V. & Hepler, L. G. Calorimetric investigations of hydrogen bond and charge transfer complexes. Chem. Soc. Rev.3, 193–207 (1974). [Google Scholar]
- 11.Sekikawa, T., Miyakubo, K., Takeda, S. & Kobayashi, T. Charge-transfer effects in a strongly hydrogen-bonded system: potassium salt of acetylenedicarboxylic acid. J. Phys. Chem.100, 5844–5848 (1996). [Google Scholar]
- 12.Enoki, T. & Miyazaki, A. Magnetic TTF-based charge-transfer complexes. Chem. Rev.104, 5449–5478 (2004). [DOI] [PubMed] [Google Scholar]
- 13.Yam, V. W. W., Chan, A. K. W. & Hong, E. Y. H. Charge-transfer processes in metal complexes enable luminescence and memory functions. Nat. Rev. Chem.4, 528–541 (2020). [Google Scholar]
- 14.Guha, O. K. & Janak, J. Charge-transfer complexes of metals in the chromatographic separation of organic compounds. J. Chromatogr. A68, 325–343 (1972). [Google Scholar]
- 15.Kochi, J. K. Electron transfer and charge transfer: twin themes in unifying the mechanisms of organic and organometallic reactions. Angew. Chem., Int. Ed. Engl.27, 1227–1266 (1988). [Google Scholar]
- 16.Juliá, F. Ligand-to-metal charge transfer (LMCT) photochemistry at 3d-metal complexes: an emerging tool for sustainable organic synthesis. ChemCatChem14, e202200916–e202200943 (2022). [Google Scholar]
- 17.Mattay, J. Charge transfer and radical ions in photochemistry. Angew. Chem., Int. Ed. Engl.26, 825–845 (1987). [Google Scholar]
- 18.Shifrin, S. charge-transfer complexes in biological systems. Ann. N. Y. Acad. Sci.158, 148–160 (1969). [DOI] [PubMed] [Google Scholar]
- 19.Demchenko, A. P. Proton transfer reactions: from photochemistry to biochemistry and bioenergetics. BBA Adv.3, 100085–100118 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kosower, E.M., Progress in Physical Organic Chemistry (ed. Taft, R. W.) 81–163 (Wiley, 1965).
- 21.Chen, X., Zhang, X., Xiao, X., Wang, Z. & Zhao, J. Recent developments on understanding charge transfer in molecular electron donor-acceptor systems. Angew. Chem. Int. Ed.62, e202216010 (2023). [DOI] [PubMed] [Google Scholar]
- 22.Wörner, H. J. et al. Charge migration and charge transfer in molecular systems. Struct. Dyn.4, 061508–061547 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Dong, K., Zhang, S. & Wang, J. Understanding the hydrogen bonds in ionic liquids and their roles in properties and reactions. Chem. Commun.52, 6744–6764 (2016). [DOI] [PubMed] [Google Scholar]
- 24.Bella, S. D. Second-order nonlinear optical properties of transition metal complexes. Chem. Soc. Rev.30, 355–366 (2001). [Google Scholar]
- 25.Dozal, A., Keyzer, H., Kim, H. K. & Wang, W. W. Charge transfer complexes of K vitamins with several classes of antimicrobials. Int. J. Antimicrob. Agents14, 261–265 (2000). [DOI] [PubMed] [Google Scholar]
- 26.Kidwai, M., Saxena, S., Rastogi, S. & Venkataramanan, R. Pyrimidines as anti-infective agents. Curr. Med. Chem.-Anti-Infect. Agents2, 269–286 (2003). [Google Scholar]
- 27.Sondhi, S. M. et al. Anticancer, anti-inflammatory and analgesic activity evaluation of heterocyclic compounds synthesized by the reaction of 4-isothiocyanato-4-methylpentan-2-one with substituted o-phenylenediamines, o-diaminopyridine and (un) substituted o. Aust. J. Chem.54, 69–74 (2001). [Google Scholar]
- 28.Akimov, A. V., Neukirch, A. J. & Prezhdo, O. V. Theoretical insights into photoinduced charge transfer and catalysis at oxide interfaces. Chem. Rev.113, 4496–4565 (2013). [DOI] [PubMed] [Google Scholar]
- 29.Beigloo, N. A. B., Rezvan, V. H., Ebrahimzadeh-Rajaei, G. & Shamel, A. Spectral measurements of a novel charge transfer complex formed by a heterocyclic aromatic amine and 1,4-dinitrobenzene: a combined experimental and dft approach. Phys Chem Res.13, 701–720 (2025). [Google Scholar]
- 30.Beigloo, N. A. B., Rezvan, V. H., Ebrahimzadeh-Rajaei, G. & Shamel, A. New charge transfer complex between melamine and 4-nitrobenzoic acid: Synthesis, spectroscopic characterization, and DFT studies. J. Mol. Struct.1322, 140469 (2025). [Google Scholar]
- 31.Plasser, F. & Lischka, H. Analysis of excitonic and charge transfer interactions from quantum chemical calculations. J. Chem. Theory Comput.8, 2777–2789 (2012). [DOI] [PubMed] [Google Scholar]
- 32.Goerigk, L. & Grimme, S. Double-hybrid density functionals. Wiley Interdiscip. Rev. Comput. Mol. Sci.4, 576–600 (2014). [Google Scholar]
- 33.Paier, J., Marsman, M. & Kresse, G. Why does the B3LYP hybrid functional fail for metals?. J. Chem. Phys.127, 024103 (2007). [DOI] [PubMed] [Google Scholar]
- 34.Khan, I. M. & Ahmad, A. Synthesis, spectral investigations, antimicrobial activity and DNA-binding studies of novel charge transfer complex of 1, 10-phenanthroline as an electron donor with π-acceptor p-Nitrophenol. J. Mol. Struct.977, 189–196 (2010). [Google Scholar]
- 35.Rahmawati, S., Radiman, C. L. & Martoprawiro, M. A. Density functional theory (DFT) and natural bond orbital (NBO) analysis of intermolecular hydrogen bond interaction in" phosphorylated nata de coco-water". Indonesian J. Chem.18, 173–178 (2018). [Google Scholar]
- 36.Brédas, J. L., Beljonne, D., Coropceanu, V. & Cornil, J. Charge-transfer and energy-transfer processes in π-conjugated oligomers and polymers: a molecular picture. Chem. Rev.104, 4971–5004 (2004). [DOI] [PubMed] [Google Scholar]
- 37.García-Valverde, M., Cordero, N. A., de la Cal, E. S. GAUSSVIEW® as a tool for learning organic chemistry. In EDULEARN15 proceedings, 1, 4366–4370 (2015).
- 38.Hameed, S. M., and Abdul-wahid, S. N. Investigating Quantum Chemical Properties of Polymeric Fillers D1 Phenyl-P and D2 10-MDP via Gaussian 90 and DFT, 35, 529–542 (2025).
- 39.Seifert, G. Tight-binding density functional theory: an approximate Kohn− Sham DFT scheme. J. Phys. Chem. A111, 5609–5613 (2007). [DOI] [PubMed] [Google Scholar]
- 40.Poater, J., Solà, M., Duran, M. & Robles, J. Analysis of the effect of changing the a 0 parameter of the Becke3-LYP hybrid functional on the transition state geometries and energy barriers in a series of prototypical reactions. Phys. Chem. Chem. Phys.4, 722–731 (2002). [Google Scholar]
- 41.Bauschlicher, C. W. Jr. & Partridge, H. A comparison of correlation-consistent and Pople-type basis sets. Chem. Phys. Lett.245, 158–164 (1995). [Google Scholar]
- 42.Tirado-Rives, J. & Jorgensen, W. L. Performance of B3LYP density functional methods for a large set of organic molecules. J. Chem. Theory Comput.4, 297–306 (2008). [DOI] [PubMed] [Google Scholar]
- 43.Yuan, Y. & Wang, F. A comparison of three DFT exchange–correlation functionals and two basis sets for the prediction of the conformation distribution of hydrated polyglycine. J. Chem. Phys.155, 094104–094113 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Liu, K. Y., Liu, J. & Herbert, J. M. Accuracy of finite-difference harmonic frequencies in density functional theory. J. Comput. Chem.38, 1678–1684 (2017). [DOI] [PubMed] [Google Scholar]
- 45.Umar, Y., Abu-Thabit, N., Jerabek, P. & Ramasami, P. Experimental FTIR and theoretical investigation of the molecular structure and vibrational spectra of acetanilide using DFT and dispersion correction to DFT. J. Theor. Comput. Chem.18, 1950009 (2019). [Google Scholar]
- 46.Laurent, A. D. & Jacquemin, D. TD-DFT benchmarks: a review. Int. J. Quantum Chem.113, 2019–2039 (2013). [Google Scholar]
- 47.Lu, T. & Chen, F. Multiwfn: A multifunctional wavefunction analyzer. J. Comput. Chem.33, 580–592 (2012). [DOI] [PubMed] [Google Scholar]
- 48.Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph.14, 33–38 (1996). [DOI] [PubMed] [Google Scholar]
- 49.Kara, Y. S., Eşme, A. & Sagdinc, S. TDOS/PDOS/OPDOS, reduced density gradient (RDG) and molecular docking studies of [3-(3-bromophenyl)-cis-4, 5-dihydroisoxazole-4, 5-diyl] bis (methylene) diacetate. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi24, 100–110 (2022). [Google Scholar]
- 50.Tuma, C., Boese, A. D. & Handy, N. C. Predicting the binding energies of H-bonded complexes: A comparative DFT study. Phys. Chem. Chem. Phys.1, 3939–3947 (1999). [Google Scholar]
- 51.Xu, L. et al. Selective separation and complexation of trivalent actinide and lanthanide by a tetradentate soft–hard donor ligand: Solvent extraction, spectroscopy, and DFT calculations. Inorg. Chem.58, 4420–4430 (2019). [DOI] [PubMed] [Google Scholar]
- 52.Jeffrey, G. A., An introduction to hydrogen bonding (ed. Jeffrey, G. A.) 12 (Oxford university press, 1997).
- 53.Mallya, A. N. & Panda, S. DFT study of iminodiacetic acid functionalised polyaniline copolymer interaction with heavy metal ions through binding energy, stability constant, and charge transfer calculations. Comput. Theor. Chem.1202, 113288 (2021). [Google Scholar]
- 54.Carrington, B. J. & Mancera, R. L. Comparative estimation of vibrational entropy changes in proteins through normal modes analysis. J. Mol. Graph. Model.23, 167–174 (2004). [DOI] [PubMed] [Google Scholar]
- 55.Nam, K., Shao, Y., Major, D. T. & Wolf-Watz, M. Perspectives on computational enzyme modeling: from mechanisms to design and drug development. ACS Omega9, 7393–7412 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Zhang, I. Y. & Xu, X. Doubly hybrid density functional for accurate description of thermochemistry, thermochemical kinetics, and nonbonded interactions. Int. Rev. Phys. Chem.30, 115–160 (2011). [Google Scholar]
- 57.Khan, I. M., Khan, A., Shakya, S. & Islam, M. Exploring the photocatalytic activity of synthesized hydrogen bonded charge transfer co-crystal of chloranilic acid with 2-ethylimidazole: DFT, molecular docking and spectrophotometric studies in different solvents. J. Mol. Struct.1277, 134862 (2023). [Google Scholar]
- 58.Barone, V. Vibrational zero-point energies and thermodynamic functions beyond the harmonic approximation. J. Chem. Phys.120, 3059–3065 (2004). [DOI] [PubMed] [Google Scholar]
- 59.Villa, M., Senent, M. L. & Dominguez-Gomez, R. ZPVE correction to the FIR spectrum of propanal isotopomers. Chem. Phys. Lett.436, 15–18 (2007). [Google Scholar]
- 60.Rezvan, V. H., Pour, S. B., Behrooz, N. J. & Sardroodi, J. J. A computational perspective on the changes made in the structural, optical, and electronic properties of melamine and picric acid/quinol with the formation of charge transfer complexes. Struct. Chem.1, 1–19 (2025). [Google Scholar]
- 61.Sundholm, D. Interpretation of the electronic absorption spectrum of free-base porphin using time-dependent density-functional theory. Phys. Chem. Chem. Phys.2, 2275–2281 (2000). [Google Scholar]
- 62.Manojkumar, P. et al. Exploring the charge transfer dynamics of hydrogen-bonded crystals of 2-methyl-8-quinolinol and chloranilic acid: synthesis, spectrophotometric, single-crystal, DFT/PCM analysis, antimicrobial, and DNA binding studies. RSC Adv.11, 39994–40010 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Casida, M.E., Time-dependent density functional response theory for molecules, in Recent Advances In Density Functional Methods: (Part I). (ed. Chong, D. P.) 1 (World Scientific, 1995).
- 64.Murrell, J. The theory of charge-transfer spectra. Q. Rev. Chem. Soc.15, 191–206 (1961). [Google Scholar]
- 65.Friedrich, H. B. & Person, W. B. Infrared spectra of charge-transfer complexes: VI: Theory. J. Chem. Phys.44, 2161–2170 (1966). [Google Scholar]
- 66.Abraham, B., Rego, L. G. & Gundlach, L. Electronic–vibrational coupling and electron transfer. J. Phys. Chem. C123, 23760–23772 (2019). [Google Scholar]
- 67.Yılmaz, M. Comprehensive DFT study of 3-(2-furyl)-1 H-pyrazole-5-carboxylic acid: structural, spectroscopic, and electronic properties with optoelectronic implications. Sci. Rep.15, 21983 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Thompson, W. H. & Hynes, J. T. Frequency shifts in the hydrogen-bonded OH stretch in halide− water clusters: The importance of charge transfer. J. Am. Chem. Soc.122, 6278–6286 (2000). [Google Scholar]
- 69.Sıdır, İ, Sıdır, Y. G., Kumalar, M. & Taşal, E. Ab initio Hartree-Fock and density functional theory investigations on the conformational stability, molecular structure and vibrational spectra of 7-acetoxy-6-(2, 3-dibromopropyl)-4, 8-dimethylcoumarin molecule. J. Mol. Struct.964, 134–151 (2010). [Google Scholar]
- 70.Alam, N. et al. Design and characterization of a binary CT complex of imidazole-oxyresveratrol: exploring its pharmacological and computational aspects. J. Biomol. Struct. Dyn.42, 1319–1335 (2024). [DOI] [PubMed] [Google Scholar]
- 71.Zhou, S. & Wang, L. Symmetry and 1H NMR chemical shifts of short hydrogen bonds: impact of electronic and nuclear quantum effects. Phys. Chem. Chem. Phys.22, 4884–4895 (2020). [DOI] [PubMed] [Google Scholar]
- 72.Zhao, G. J. & Han, K. L. Hydrogen bonding in the electronic excited state. Acc. Chem. Res.45, 404–413 (2012). [DOI] [PubMed] [Google Scholar]
- 73.Toomsalu, E. & Burk, P. Critical test of some computational methods for prediction of NMR 1H and 13C chemical shifts. J. Mol. Model.21, 244 (2015). [DOI] [PubMed] [Google Scholar]
- 74.Refat, M. S., Sadeek, S. A. & Khater, H. M. Electronic, infrared, and 1HNMR spectral studies of the novel charge-transfer complexes of o-tolidine and p-toluidine with alternation π-acceptors (3, 5-dinitro benzoic acid and 2, 6-dichloroquinone-4-chloroimide) in CHCl3 solvent. Spectrochim. Acta Part A Mol. Biomol. Spectrosc.64, 778–788 (2006). [DOI] [PubMed] [Google Scholar]
- 75.Naeem, A., Khan, I. M. & Ahmad, A. Spectral investigations of a multiple charge transfer complex of p-nitrophenol as an electron acceptor with donor p-dimethylaminobenzaldehyde. Russ. J. Phys. Chem. A85, 1840–1843 (2011). [Google Scholar]
- 76.Charisiadis, P. et al. 1H-NMR as a structural and analytical tool of intra-and intermolecular hydrogen bonds of phenol-containing natural products and model compounds. Molecules19, 13643–13682 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Saka, E. T., Celik, G., Sarkı, G. & Kantekin, H. An efficient method for the oxidation of phenolic compounds using new Co (II) and Fe (II) phthalocyanines. J. Incl. Phenom. Macrocycl. Chem.85, 161–168 (2016). [Google Scholar]
- 78.Asath, R. M., Premkumar, R., Mathavan, T. & Benial, A. M. F. Structural, spectroscopic and molecular docking studies on 2-amino-3-chloro-5-trifluoromethyl pyridine: A potential bioactive agent. Spectrochim. Acta Part A Mol. Biomol. Spectrosc.175, 51–60 (2017). [DOI] [PubMed] [Google Scholar]
- 79.Nemati-Kande, E. et al. Quantum DFT methods to explore the interaction of 1-Adamantylamine with pristine, and P, As, Al, and Ga doped BN nanotubes. Sci. Rep.12, 19972 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Choudhary, V., Bhatt, A., Dash, D. & Sharma, N. DFT calculations on molecular structures, HOMO–LUMO study, reactivity descriptors and spectral analyses of newly synthesized diorganotin (IV) 2-chloridophenylacetohydroxamate complexes. J. Comput. Chem.40, 2354–2363 (2019). [DOI] [PubMed] [Google Scholar]
- 81.Weinhold, F. Natural bond orbital analysis: A critical overview of relationships to alternative bonding perspectives. J. Comput. Chem.33, 2363–2379 (2012). [DOI] [PubMed] [Google Scholar]
- 82.Suresh, S. & Arivuoli, D. Nanomaterials for nonlinear optical (NLO) applications: a review. Rev. Adv. Mater. Sci30, 243–253 (2012). [Google Scholar]
- 83.Steinmann, S. N., Piemontesi, C., Delachat, A. & Corminboeuf, C. Why are the interaction energies of charge-transfer complexes challenging for DFT?. J. Chem. Theory Comput.8, 1629–1640 (2012). [DOI] [PubMed] [Google Scholar]
- 84.Hollas, J.M., Modern spectroscopy (ed. Hollas, J.M.) 50 (Wiley, 2004).
- 85.Hadigheh-Rezvan, V. DFT study of Molecular structure, and optical properties of charge transfer complexes derived from Tetrathiafulualene and Tetracyanoquinodimethane derivatives. J. Chem. React. Synth.11, 6–11 (2021). [Google Scholar]
- 86.Alam, M. M., Kundi, V. & Thankachan, P. P. Solvent effects on static polarizability, static first hyperpolarizability and one-and two-photon absorption properties of functionalized triply twisted Möbius annulenes: a DFT study. Phys. Chem. Chem. Phys.18, 21833–21842 (2016). [DOI] [PubMed] [Google Scholar]
- 87.Al-Shamiri, H. A. et al. Experimental and theoretical studies of linear and non-linear optical properties of novel fused-triazine derivatives for advanced technological applications. Sci. Rep.12, 19937 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Reed, A. E. & Weinhold, F. Natural localized molecular orbitals. J. Chem. Phys.83, 1736–1740 (1985). [Google Scholar]
- 89.Landis, C. R., & Weinhold, F. The NBO view of chemical bonding (ed. Frenking, G., and Shaik, S.) 91 (Wiley online libraray,2014).
- 90.Rajamani, T. & Muthu, S. Electronic absorption, vibrational spectra, non-linear optical properties, NBO analysis and thermodynamic properties of 9-[(2-hydroxyethoxy) methyl] guanine molecule by density functional method. Solid State Sci.16, 90–101 (2013). [DOI] [PubMed] [Google Scholar]
- 91.Khalid, M. et al. Frontier molecular, Natural bond orbital, UV-Vis spectral stduy, Solvent influence on geometric parameters, Vibrational frequencies and solvation energies of 8-Hydroxyquinoline. Int. J. Pharm. Sci. Res8, 457–469 (2017). [Google Scholar]
- 92.Weiner, P. K., Langridge, R., Blaney, J. M., Schaefer, R. & Kollman, P. A. Electrostatic potential molecular surfaces. Proc. Natl. Acad. Sci.79, 3754–3758 (1982). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Murray, J. S., Riley, K. E. & Brinck, T. A revival of molecular surface electrostatic potential statistical quantities: Ionic solids and liquids. Crystals17, 2073–4352 (2024). [Google Scholar]
- 94.Rezvan, V. H., Pour, S. B. & Sardroodi, J. J. Molecular structures and optical properties of Schiff bases derived from pyrrole alkyl ketones and 1-aminophethalazine: DFT calculations. Results Chem.12, 101907 (2024). [Google Scholar]
- 95.Seminario, J.M., Recent developments and applications of modern density functional theory (ed. Seminario, J.M.) 4 (Elsevier science and technology, 1996).
- 96.Politzer, P. & Murray, J. S. The fundamental nature and role of the electrostatic potential in atoms and molecules. Theoret. Chem. Acc.108, 134–142 (2002). [Google Scholar]
- 97.Alibakhshi, A. & Schäfer, L. V. Electron iso-density surfaces provide a thermodynamically consistent representation of atomic and molecular surfaces. Nat. Commun.15, 6086 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Kubaib, A., Afroze, N. N. & Predhanekar, M. I. Investigating the Potential Pharmacological Applications of 5-Hydroxy-2 (hydroxymethyl)-4H pyran-4 one through Electronic Characterization and MM-GBSA Studies for Oxidative Stress and Tyrosinase Inhibition: A Quantum Chemical Approach. Turk. Comput. Theor. Chem.8, 80 (2024). [Google Scholar]
- 99.Liu, Y. et al. VMD as a software for visualization and quantitative analysis of super resolution imaging and single particle tracking. Biophys. J .106, 202a (2014). [Google Scholar]
- 100.Morales-Pumarino, D. & Barquera-Lozada, J. E. Electron density and its reduced density gradient in the study of π–π interactions. Int. J. Quantum Chem.123, e27051 (2023). [Google Scholar]
- 101.Jia, Z., Pang, H., Li, H. & Wang, X. A density functional theory study on complexation processes and intermolecular interactions of triptycene-derived oxacalixarenes. Theoret. Chem. Acc.138, 1–11 (2019). [Google Scholar]
- 102.Rezvan, V. H. Charge transfer complexes: a review survey. Results Chem.17, 102600 (2025). [Google Scholar]
- 103.Rezvan, V. H. & Abdoli, H. DFT Investigation of Charge Transfer Complexes Formed between Naphthols with 1,3-Dinitrobenzene: Conformational, Structural, Electronic, Thermodynamic, and Spectroscopic Insights. J. Chem. React. Synth.15(1), 1–40 (2025). [Google Scholar]
- 104.Rezvan, V. H. & Salehzadeh, J. Exploring charge transfer complexes of fluoroquinolone drugs and π-acceptors (picric acid and 3,5-dinitrobenzoic Acid): DFT insights into electronic interactions, thermodynamic stability, FMOs, and NLO properties. ChemistrySelect10, e202405137 (2025). [Google Scholar]
- 105.Biegler-König, F. & Schönbohm, J. Update of the AIM2000-program for atoms in molecules. J. Comput. Chem.23(15), 1489–1494 (2002). [DOI] [PubMed] [Google Scholar]
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