Literature DB >> 28618212

Quantum chemistry in environmental pesticide risk assessment.

Juan J Villaverde1, Carmen López-Goti1, Manuel Alcamí2,3,4, Al Mokhtar Lamsabhi2,3, José L Alonso-Prados1, Pilar Sandín-España1.   

Abstract

The scientific community and regulatory bodies worldwide, currently promote the development of non-experimental tests that produce reliable data for pesticide risk assessment. The use of standard quantum chemistry methods could allow the development of tools to perform a first screening of compounds to be considered for the experimental studies, improving the risk assessment. This fact results in a better distribution of resources and in better planning, allowing a more exhaustive study of the pesticides and their metabolic products. The current paper explores the potential of quantum chemistry in modelling toxicity and environmental behaviour of pesticides and their by-products by using electronic descriptors obtained computationally. Quantum chemistry has potential to estimate the physico-chemical properties of pesticides, including certain chemical reaction mechanisms and their degradation pathways, allowing modelling of the environmental behaviour of both pesticides and their by-products. In this sense, theoretical methods can contribute to performing a more focused risk assessment of pesticides used in the market, and may lead to higher quality and safer agricultural products.
© 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

Entities:  

Keywords:  QSAR; environmental; pesticide; quantum chemistry; risk assessment

Mesh:

Substances:

Year:  2017        PMID: 28618212     DOI: 10.1002/ps.4641

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  1 in total

1.  Assessing the Effects of Alloxydim Phototransformation Products by QSAR Models and a Phytotoxicity Study.

Authors:  Juan J Villaverde; Inés Santín-Montanyá; Beatriz Sevilla-Morán; José L Alonso-Prados; Pilar Sandín-España
Journal:  Molecules       Date:  2018-04-24       Impact factor: 4.411

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.