Abstract:The solvent effect on the absorption spectra of coumarin 120 (C120) in water was studied utilizing the combined quantum mechanical∕molecular mechanical (QM∕MM) method. In molecular dynamics (MD) simulation, a new sampling scheme was introduced to provide enough samples for both solute and solvent molecules to obtain the average physical properties of the molecules in solution. We sampled the structure of the solute and solvent molecules separately. First, we executed a QM∕MM MD simulation, where we sampled the… Show more
“…Hence, the interaction between the solute and solvent molecules increases. This was also found in the simulation of C120 in water for the ground state [33]. The bond alternation influences the π orbitals, which plays an important role in the π → π * excitation.…”
Section: The Steady-state Fluorescence Spectra and Solvent Effectsupporting
confidence: 66%
“…1) in water solution. The constructed fluorescence spectra, which consider variation in electronic structures accompanied with molecular distortion, can be compared with the solvent effect of absorption spectra we have studied previously [33].…”
The solvent effect on the steady-state and time-resolved fluorescence spectra of coumarin 120 in water was studied utilizing a molecular dynamics simulation with combined quantum mechanical/molecular mechanical method. The constructed steady-state fluorescence spectra reproduced the Stokes shift of the experimental data. The solvent effects on the spectra were examined by constructing three different spectra: spectra using the entire system, spectra including water molecules only in the first solvent shell, and spectra excluding all water molecules. We found that the variation in C-C bond length makes the largest contribution to the solvent shift in the fluorescence spectrum, which indicates the importance of the electronic structure variation.
“…Hence, the interaction between the solute and solvent molecules increases. This was also found in the simulation of C120 in water for the ground state [33]. The bond alternation influences the π orbitals, which plays an important role in the π → π * excitation.…”
Section: The Steady-state Fluorescence Spectra and Solvent Effectsupporting
confidence: 66%
“…1) in water solution. The constructed fluorescence spectra, which consider variation in electronic structures accompanied with molecular distortion, can be compared with the solvent effect of absorption spectra we have studied previously [33].…”
The solvent effect on the steady-state and time-resolved fluorescence spectra of coumarin 120 in water was studied utilizing a molecular dynamics simulation with combined quantum mechanical/molecular mechanical method. The constructed steady-state fluorescence spectra reproduced the Stokes shift of the experimental data. The solvent effects on the spectra were examined by constructing three different spectra: spectra using the entire system, spectra including water molecules only in the first solvent shell, and spectra excluding all water molecules. We found that the variation in C-C bond length makes the largest contribution to the solvent shift in the fluorescence spectrum, which indicates the importance of the electronic structure variation.
“…Quantum-chemical computations may be performed for the whole solute-solvent system, or the solvent molecules may be replaced by point charges in QM/MM approach or by polarizable multipoles (polarizable embedding methods [7,8]). Some recent examples include works using classical MD or MC methods [7][8][9][10][11][12][13][14][15][16][17] or ab initio molecular dynamics [18][19][20][21][22][23].…”
the ground and of the excited states of the molecule, and therefore, they induce shifts of the maxima in absorption or emission spectra. Two important factors contributing to the overall effect are the long-range electrostatic interactions with the solvent polarizing the solute and the shortrange contributions such as dispersion or specific solutesolvent interactions, e.g., hydrogen bonding. Properties of the solvent which affect the spectra of the solute are commonly described by empirical parameters quantifying solvent polarity/polarizability or its ability to act as a hydrogen bond donor or acceptor. examples of such scale are the Kamlet-Taft π * , α and β parameters [1-3] derived experimentally from the values of solvent-induced shifts in absorption spectra of molecules serving as solvatochromic probes [4].Two extreme approaches used to account for the solvent effect in quantum-chemical calculations are implicit and explicit solvent models. In the implicit approach, the solute is inserted into a cavity in a continuous solvent treated as an effective medium. In such a way, the electrostatic component of the solvent effect can be estimated from the interactions of the solute with surrounding polarizable medium; corrections to the energy resulting from van der Waals interactions can be also parametrized. Common examples of implicit solvent models are polarizable continuum model (PCM) [5] or conductor-like screening model (COSMO) [6]. Such methods can provide corrections to the energy of the solute in the solvent or values of solvatochromic shifts; they are computationally cheap and therefore widely used. Significant drawback of implicit approaches is that they do not account for specific interactions and the dispersion and repulsion contributions are treated via an effective parameterization.At the other end, there are the approaches in which solvent molecules are explicitly included in calculations.Abstract Solvent-induced shifts in the absorption spectrum of N,N-diethyl-4-nitroaniline were studied by quantum-chemical methods in water, dimethylsulfoxide, acetonitrile and acetone. TDDFT methodology and semiempirical ZINDO/S and PM6-CIS approaches were used to calculate excitation energies. Solvent effect was modeled in implicit solvent model by different variants of the PCM approach. Classical molecular dynamics was applied to obtain solute-solvent geometries used in explicit solvent modeling. Most implicit solvent models fail to reproduce the sequence of solvatochromic shifts for four studied solvents, usually yielding too small effect for water. The best result of the PCM method was obtained with SMD atomic radii. Semiempirical quantum-chemical methods in explicit solvent model did not provide satisfactory description of solvatochromic shifts with the largest disagreement to experiment observed for water. TDDFT explicit solvent calculations performed the best in modeling of spectral shifts. Problems with reproduction of experimental data were attributed to specific interactions.
“…It can be caused by the absence of the specific hydrogen bonding term in AMBER99 force field. This result should be considered before choosing the force field for combined QM/MM techniques (Hao et al, 2003, Murugan, 2011, Sakata et al, 2011. First peak represents the radius of first hydration shell of the water molecule.…”
Section: Resultsmentioning
confidence: 99%
“…Radial distribution function for oxygen-oxygen couple represents the oxygen density variations as the function of a distance r from the origin (another oxygen atom). All results are compared with the experimental RDF taken from X-ray scattering experiment data (Sakata et al, 2011). Molecular mechanic approach with AMBER99 force field is the simplest and fastest method.…”
We have compared several computational techniques with the aim to compute the radial distribution function (RDF) as a good characterization of water structure. In particular, we have used molecular mechanic (AMBER99), semi-empirical (AM1, PM3, PM6) and ab initio (DFT) technique. It has been shown that molecular mechanic gives very poor results in the case of water RDF. Ab initio techniques which are in general accepted as very exact methods, in the case of water underestimate intermolecular interaction. Unexpectedly, the semi-empirical method with PM6 parameterisation gives the best results in comparison with RDF measured by X-ray scattering experiment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.