Designing of less toxic to non targets organophosphorus pesticide : Predicting equation of Acetylcholinesterase activity dependence on LD50 values and octanol-water partition coefficients of the pesticides.

Abstract

Objectives: This paper focuses on the applications of multivariate statistical techniques for designing of cost effective, low non-target nerve damageable Organophosphorus Pesticide (OPs) used in Indian agriculture. They all exhibit anti cholinergic effect on non-targets including mammals. This study would be of great benefit to all people who come into direct as well as indirect contact with pesticides. Methods: In our study, we have dealt with the effects of seven OPs on acetylcholinesterase (AChE) activity in four different parts of rat brain, viz., hypothalamus (H), striatum (S), cerebellum (CR), cerebrum (C). Not all the parts of mammalian brain are equally sensitive to the same pesticide as is evident by direct plotting of inverse of AChE activity vs inverse of LD50 and that of AChE activity vs Pow values1. The statistical model for this study is the 2-way ANOVA. Results: The nature of dependence of AChE activity on pesticide (Pow i.e. octanol water partition coefficient values) and LD50 (lethal dose) is given by Multiple regression Analysis (MRA). This nature has been supported by multiple correlation coefficient values, which indicate the measure of efficacy for different predicting equations. In most of the cases, the results are satisfactory. Conclusions: So through MRA a model pesticide can be designed which is less toxic to non-targets like mammals.