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研究有机萃取剂的化学结构与萃取性能的关系是实现高效能萃取剂分子设计的重要途径,已被认为是萃取化学研究的组成部分。以往这类研究一般均限于考察某一结构效应,因此较难对分子结构的总特性作出评价。模式识别是近年发展起来的借助电子计算机分析多维数据的有效方法。本文系报道应用模式识别法研究某些有机磷化合物的多种结构因素对萃取铀性能的影响。
The study of the relationship between chemical structure and extraction performance of organic extractant is an important way to realize the molecular design of high efficiency extractant. It has been considered as an integral part of extraction chemistry. In the past, such studies were generally limited to examining a structural effect, so it is difficult to evaluate the overall characteristics of the molecular structure. Pattern recognition is an effective method developed in recent years to analyze multidimensional data by means of electronic computers. This paper reports the application of pattern recognition to study the effect of various structural elements of some organophosphorus compounds on the extraction of uranium.