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药物和农药光致荧光行为的定量构效关系研究

QSPR studies on the photoinduced-fluorescence behaviour of pharmaceuticals and pesticides.

作者信息

López-Malo D, Bueso-Bordils J I, Duart M J, Alemán-López P A, Martín-Algarra R V, Antón-Fos G M, Lahuerta-Zamora L, Martínez-Calatayud J

机构信息

a Departamento de Farmacia , Universidad CEU - Cardenal Herrera , Valencia , Spain.

出版信息

SAR QSAR Environ Res. 2017 Jul;28(7):609-620. doi: 10.1080/1062936X.2017.1358212.

Abstract

Fluorimetric analysis is still a growing line of research in the determination of a wide range of organic compounds, including pharmaceuticals and pesticides, which makes necessary the development of new strategies aimed at improving the performance of fluorescence determinations as well as the sensitivity and, especially, the selectivity of the newly developed analytical methods. In this paper are presented applications of a useful and growing tool suitable for fostering and improving research in the analytical field. Experimental screening, molecular connectivity and discriminant analysis are applied to organic compounds to predict their fluorescent behaviour after their photodegradation by UV irradiation in a continuous flow manifold (multicommutation flow assembly). The screening was based on online fluorimetric measurement and comprised pre-selected compounds with different molecular structures (pharmaceuticals and some pesticides with known 'native' fluorescent behaviour) to study their changes in fluorescent behaviour after UV irradiation. Theoretical predictions agree with the results from the experimental screening and could be used to develop selective analytical methods, as well as helping to reduce the need for expensive, time-consuming and trial-and-error screening procedures.

摘要

荧光分析在测定包括药物和农药在内的多种有机化合物方面仍是一个不断发展的研究领域,这使得有必要开发新策略,旨在提高荧光测定的性能以及新开发分析方法的灵敏度,尤其是选择性。本文介绍了一种适用于促进和改进分析领域研究的有用且不断发展的工具的应用。实验筛选、分子连接性和判别分析应用于有机化合物,以预测它们在连续流动歧管(多换向流动装置)中经紫外线照射光降解后的荧光行为。筛选基于在线荧光测量,包括具有不同分子结构的预选化合物(具有已知“天然”荧光行为的药物和一些农药),以研究它们在紫外线照射后荧光行为的变化。理论预测与实验筛选结果一致,可用于开发选择性分析方法,也有助于减少对昂贵、耗时且反复试验的筛选程序的需求。

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