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Quantum Chemical Parameters (quantum + chemical_parameter)
Selected AbstractsAlgal toxicity of nitrobenzenes: Combined effect analysis as a pharmacological probe for similar modes of interactionENVIRONMENTAL TOXICOLOGY & CHEMISTRY, Issue 2 2005Rolf Altenburger Abstract An analysis regarding the effects of the mixture toxicity of different nitrobenzenes on the reproduction of the green alga Scenedesmus vacuolatus was undertaken using the concepts of concentration addition and response addition. Using lipophilicity-based quantitative structure-activity relationship (QSAR) modeling for nitrobenzenes, the assumption is held that mononitrobenzenes may exert narcotic effects as a common type of action, whereas dinitrobenzenes show a somewhat greater toxicity. From the literature, QSARs based on quantum chemical parameters suggest that some mononitrobenzenes may be effective through additional other modes of action. The toxicity of a mixture of 14 nitrobenzenes clearly exceeds the predicted combined effects, as expected for the sum of toxic units from a uniform narcotic mode of action. Moreover, the observed combined effect is smaller than that predicted from similarly acting compounds calculated on the basis of the parameterized dose-response functions using concentration addition. Further modeling of the combined effect, joining the models of concentration addition for components with anticipated similar modes of action and of response addition for those with independent action, led us to propose that not all nitrobenzenes follow the same mode of action. This idea is in line with the hypothesis derived from quantum chemical QSAR considerations. Most interestingly, the methodology introduced here uses combined effect analysis as a pharmacological probe to test for similarity in the mode of action of mixture components. [source] Theoretical studies of some sulphonamides as corrosion inhibitors for mild steel in acidic mediumINTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, Issue 14 2010Eno E. Ebenso Abstract Density functional theory (DFT) at the B3LYP/6-31G (d,p) and BP86/CEP-31G* basis set levels and ab initio calculations using the RHF/6-31G (d,p) methods were performed on four sulfonamides (namely sulfaacetamide (SAM), sulfapyridine (SPY), sulfamerazine (SMR), and sulfathiazole (STI)) used as corrosion inhibitors for mild steel in acidic medium to determine the relationship between molecular structure and their inhibition efficiencies (%IE). The order of inhibition efficiency obtained was SMR > SPY > STI > SAM which corresponded with the order of most of the calculated quantum chemical parameters namely EHOMO (highest occupied molecular orbital energy), ELUMO (lowest unoccupied molecular orbital energy), the energy gap (,E), the Mulliken charges on the C, O, N, S atoms, hardness (,), softness (S), polarizability (,), dipole moment (,), total energy change (,ET), electrophilicity (,), electron affinity (A), ionization potential (I), the absolute electronegativity (,), and the fraction of electrons transferred (,N). Quantitative structure activity relationship (QSAR) approach has been used and a correlation of the composite index of some of the quantum chemical parameters was performed to characterize the inhibition performance of the sulfonamides studied. The results showed that the %IE of the sulfonamides was closely related to some of the quantum chemical parameters but with varying degrees/order. The calculated %IE of the sulfonamides studied was found to be close to their experimental corrosion inhibition efficiencies. The experimental data obtained fits the Langmuir adsorption isotherm. The negative sign of the EHOMO values and other thermodynamic parameters obtained indicates that the data obtained supports physical adsorption mechanism. © 2009 Wiley Periodicals, Inc. Int J Quantum Chem, 2010 [source] Substituent effects on the physical properties and pKa of phenolINTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, Issue 4-5 2001Kevin C. Gross Abstract Substituent effects on the physical properties and pKa of phenol were studied using density functional theory [B3LYP/6-311G(d,p)] calculations. Substituents alter the physical properties of phenol such as the hydroxyl-group CO and OH bond lengths, the C OH bond angle, and the energy barrier to rotation about the C O bond, and also influence the hydroxyl-group pKa. Except for the rotational barrier, Hammett , constants showed strong correlation with these property changes. Several quantum chemical parameters, including the natural charge on the phenolic hydrogen Qn(H) and the natural charge on the phenoxide oxygen Qn(O,), the HF/6-311G(d,p) HOMO energy Ehomo, and the proton-transfer energy ,Eprot, outperformed the empirical Hammett constants in modeling changes in the pKa. All of these latter parameters yielded correlation coefficients ,r,>0.94 for the pKa. © 2001 John Wiley & Sons, Inc. Int J Quantum Chem, 2001 [source] Quantitative structure property relationship models for the prediction of liquid heat capacityMOLECULAR INFORMATICS, Issue 1 2003Xiaojun Yao Abstract Quantitative Structure-Property Relationship (QSPR) models based on molecular descriptors derived from molecular structures have been developed for the prediction of liquid heat capacity at 25,°C using a diverse set of 871 organic compounds. The molecular descriptors used to represent molecular structures include constitutional and topological indices and quantum chemical parameters. Forward stepwise regression and radial basis function neural networks (RBFNNs) were used to construct the QSPR models. The root mean square errors in liquid heat capacity predictions for the training, test and overall data sets are 16.857, 18.744 and 17.141 heat capacity units, respectively. The prediction results are in agreement with the experimental values, but the RBFNN model seems to be better than stepwise regression method. [source] | ||||||||||