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Complexation Constants (complexation + constant)
Selected AbstractsEvaluation of Intrinsic Ionization and Complexation Constants of TiO2 and Mg-Fe Hydrotalcite-like CompoundsCHINESE JOURNAL OF CHEMISTRY, Issue 10 2006Wan-Guo Hou Abstract The intrinsic surface reaction constants, pKinta1, pKinta2, p*KintC and p*KintA, were evaluated by a modified double extrapolation (MDE) for TiO2 without structural charge and Mg-Fe hydrotalcite-like compounds (HTlc) with structural charge, respectively. The results of intrinsic surface reaction constants for TiO2 were compared with those obtained by class double extrapolation (CDE) in literature. Furthermore, the values of intrinsic surface reaction constants obtained by MDE were used to simulate the charging behaviors of the materials. The following conclusions were obtained. For TiO2 without structural charge, the pKinta1 and pKinta2 evaluated by MDE are equal to those by CDE, however the p*KintC and p*KintA evaluated by MDE are much different from those by CDE. In principle, the results of the p*KintC and p*KintA evaluated by MDE are more accurate than those by CDE. The values of intrinsic surface reaction constants obtained by MDE can excellently simulate the charging curves for TiO2 with the triple layer model (TLM). For HTlc with positive structural charge, the results of *KintC=0 and *KintA,, were obtained by MDE, which means the inert electrolyte chemical binding does not exist; the point of zero net charge (PZNC) of c -independence also exist as the same as solid without structural charge, and the pHPZNC obtained by the acid-base titration can excellently be simulated and the surface charging tendency can be simulated to a great extent using the pKinta1 and pKinta2 evaluated by MDE and the diffuse layer model (DLM). [source] Reactive extraction of propionic acid using tri-n-octylamine, tri-n-butyl phosphate and aliquat 336 in sunflower oil as diluentJOURNAL OF CHEMICAL TECHNOLOGY & BIOTECHNOLOGY, Issue 4 2009Amit Keshav Abstract BACKGROUND: Propionic acid is widely used in chemical and allied industries and can be produced by biocultivation in a clean and environmentally friendly route. Recovery of the acid from the dilute stream from the bioreactor is an economic problem. Reactive extraction is a promising method of recovering the acid but suffers from toxicity problems of the solvent employed. There is thus a need for a non-toxic solvent or a combination of less toxic extractants in a non-toxic diluent that can recover acid efficiently. RESULTS: The effect of different extractants (tri-n-butylphosphate (TBP), tri-n-octylamine (TOA) and Aliquat 336) and their mixed binary solutions in sunflower oil diluent was studied to find the best extractant-sunflower oil combination. Equilibrium complexation constant, KE, values of 4.02, 3.13 and 1.87 m3 kmol,1 were obtained for propionic acid extraction using Aliquat 336, TOA and TBP, respectively, in sunflower oil. The effect of different modifiers (1-decanol, methylisobutyl ketone, butyl acetate and dodecanol) on the extraction was also studied and it was found that modifiers enhance extraction, with 1-decanol found to be the best. CONCLUSION: The problem of toxicity in reactive extraction can be reduced by using a non-toxic diluent (sunflower oil) or a modifier in a non-toxic solvent, with the extractant. The addition of modifiers was found to improve the extraction. Copyright © 2008 Society of Chemical Industry [source] Recent advances in enantioseparations of peptides by capillary electrophoresisELECTROPHORESIS, Issue 22-23 2003Gerhard K. E. Scriba Abstract The present review summarizes peptide enantioseparations by capillary electrophoresis with the focus on recent developments. These include the application of new chiral selectors and systematic studies involving series of di- and tripeptides with either common features or with a variety of structures. One section emphasizes mechanistic aspects of the migration order of the enantiomers in cyclodextrin-assisted chiral separations with respect to the complexation constants and the mobilities of the transient diastereomeric complexes. In addition, short paragraphs on the application of chiral capillary electrophoresis to the determination of the stereochemical purity of peptidomimetics and on chiral separations of peptides by capillary electrochromatography have also been included. [source] Biotic ligand model of the acute toxicity of metals.ENVIRONMENTAL TOXICOLOGY & CHEMISTRY, Issue 10 2001Abstract The biotic ligand model (BLM) of acute metal toxicity to aquatic organisms is based on the idea that mortality occurs when the metal,biotic ligand complex reaches a critical concentration. For fish, the biotic ligand is either known or suspected to be the sodium or calcium channel proteins in the gill surface that regulate the ionic composition of the blood. For other organisms, it is hypothesized that a biotic ligand exists and that mortality can be modeled in a similar way. The biotic ligand interacts with the metal cations in solution. The amount of metal that binds is determined by a competition for metal ions between the biotic ligand and the other aqueous ligands, particularly dissolved organic matter (DOM), and the competition for the biotic ligand between the toxic metal ion and the other metal cations in solution, for example, calcium. The model is a generalization of the free ion activity model that relates toxicity to the concentration of the divalent metal cation. The difference is the presence of competitive binding at the biotic ligand, which models the protective effects of other metal cations, and the direct influence of pH. The model is implemented using the Windermere humic aqueous model (WHAM) model of metal,DOM complexation. It is applied to copper and silver using gill complexation constants reported by R. Playle and coworkers. Initial application is made to the fathead minnow data set reported by R. Erickson and a water effects ratio data set by J. Diamond. The use of the BLM for determining total maximum daily loadings (TMDLs) and for regional risk assessments is discussed within a probabilistic framework. At first glance, it appears that a large amount of data are required for a successful application. However, the use of lognormal probability distributions reduces the required data to a manageable amount. [source] Predicting solubility in multiple nonpolar drugs,cyclodextrin systemJOURNAL OF PHARMACEUTICAL SCIENCES, Issue 11 2002Luwei Zhao Abstract This study presents a model to predict the solubility of a nonpolar drug DA in the presence of other nonpolar drugs D1,Dn in a complexing ligand L system such as hydroxypropyl-,-cyclodextrin (HP,CD). Using an equilibrium approach, the model describes the molecular interactions among these drug species and the ligand. The model indicates that the solubility of DA invariably decreases as a result of the presence of D1,Dn. Furthermore, the decrease in DA solubility is related to the sum of the products of the intrinsic solubilities of the other drugs and drug,ligand complexation constants. To test the model, three steroids (prednisolone, 17,-hydroxyprogesterone, and progesterone) were used as model compounds in HP,CD solutions. The experimental data showed that the solubility of any particular drug decreased in the presence of other drugs. At all tested HP,CD concentrations, these experimental solubility data were in good agreement with the predicted solubility data. This result lends strong support to the reliability and effectiveness of the proposed model. © 2002 Wiley-Liss, Inc. and the American Pharmaceutical Association J Pharm Sci 91:2301,2306, 2002 [source] | |||||||||||||