4.7 Article

Systematic evaluation of chiral pesticides at the enantiomeric level: A new strategy for the development of highly effective and less harmful pesticides

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 846, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.157294

关键词

Chiral pesticides; Systematic evaluation; Enantiomeric level; Highly effective; Less harmful

资金

  1. Natural Science Foundation of the Jiangsu Higher Education Institutions of China [21KJB210017]
  2. Key Research and Development Program of Jiangsu Province [BE2020349]
  3. Science and Technology Projects Fund of Yangzhou City [YZ2020178]

向作者/读者索取更多资源

Chiral pesticides exhibit enantioselectivity differences in biological activity, ecotoxicity, and environmental behavior. Evaluating and developing the enantiomers of chiral pesticides provides an effective strategy for reducing pesticide use and environmental risks, and supports data-driven efforts to reduce pesticide application.
Over the past few decades, pesticides have been used in large quantities, and they pose potential risks to organisms across various environments. Reducing the use of pesticides and their environmental risks has been an active research focus and difficult issue worldwide. As a class of pesticides with special structures, chiral pesticides generally exhibit enantioselectivity differences in biological activity, ecotoxicity, and environmental behavior. At present, replacing the racemates of chiral pesticides by identifying and developing their individual enantiomers with high efficiency and en-vironmentally friendly characteristics is an effective strategy to reduce the use of pesticides and their environmental risks. In this study, we review the stereoselective behaviors of chiral pesticide, including their environmental behavior, stereoselective biological activity, and ecotoxicity. In addition, we emphasize that the systematic evaluation of chiral pesticides at the enantiomeric level is a promising novel strategy for developing highly effective and less harmful pes-ticides, which will provide important data support and an empirical basis for reducing pesticide application.

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