On the possibility of evaluative prediction of the extraction of organic substances of complex structure using the method of group increments

M. Zayats, S. Leschev, A. U. Zaidzel
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Abstract

The distribution of pesticides of different classes (amides, anilinopyrimidines, benzene derivatives, benzoylphenylureas, benzenesulfonates, hydrazides, dinitroanilines, carbamates, pyretroids, pyrimidines, tetrazines, triazoles, pheny lureas, organophosphorus compounds, esters of carboxylic acids) was studied at 20 ± 1 °C in the extraction systems of hexane–water, hexane–acetonitrile, hexane– acetonitrile and water mixture that are most often used in analytical chemistry of pesticides. The distribution constants P of pesticides and the increments of logarithms of the distribution constants If of their functional groups between the hydrocarbon and polar phases are calculated. Two main methods for evaluative prediction of lg P of pesticides are proposed and approved – substitutive method based on the calculation of lg P by replacing the substituents in the base molecule and the method of absolute addition of increments. The possibilities of the both methods are illustrated. The reasons for the deviations of the experimental values from the calculated ones are discussed. The influence of the nature and composition of the polar phase on the magnitudes of the observed deviations is estimated. In particular, they decrease dramatically with an increase in the acetonitrile content in the polar phase. Averaged values of correction to the calculated values of lg P are introduced. In most cases, they allow predicting lg P of pesticides with a deviation of not more than 0.5–1.0 from the calculated one.
基团增量法评价预测复杂结构有机物提取的可能性
在20±1℃条件下,研究了农药分析化学中常用的正己烷-水、正己烷-乙腈、正己烷-乙腈和水的萃取体系中不同类别(酰胺类、苯胺类、苯衍生物、苯甲酰苯基脲类、苯磺酸类、肼类、二硝基苯胺类、氨基甲酸酯类、吡咯烷类、嘧啶类、四嗪类、三唑类、苯脲类、有机磷类化合物、羧酸酯类)农药的分布。计算了农药的分布常数P及其官能团在烃相和极性相之间的分布常数If的对数增量。提出并批准了两种主要的评价预测方法:通过取代基分子中取代基来计算农药的lg P的取代法和增量的绝对加法法。说明了这两种方法的可能性。讨论了实验值与计算值偏差的原因。估计了极相的性质和组成对观测到的偏差大小的影响。特别是,它们随着极性相中乙腈含量的增加而急剧减少。介绍了lg P计算值的平均校正值。在大多数情况下,它们允许预测农药的lg P与计算值的偏差不超过0.5-1.0。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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