AI Article Synopsis

  • Sorption coefficients (K(oc)) help predict if pesticides will stay dissolved or stick to soil after application, but measuring them is hard.
  • A study analyzed the properties of pesticides used by a sugarcane company in Brazil, focusing on various molecular descriptors, including GRid INdependent Descriptors (GRIND).
  • The findings revealed that factors like size, shape, octanol-water coefficient, solubility, and the balance of hydrophilic and lipophilic regions all significantly affect K(oc) values.

Article Abstract

Sorption coefficients (K(oc)) are useful in the prediction of whether a pesticide will remain dissolved in solution or will become adsorbed onto soil particles after its application. Measuring this process experimentally is difficult, expensive and time-consuming. Hence, much effort has been directed toward estimating K(oc) through statistical modelling. In this study, we investigated the physicochemical properties of pesticides employed by a local sugarcane company, in the northern coastal plain of Paraíba state in Brazil, by using several molecular descriptors, among them, GRid INdependent Descriptors (GRIND). Quantitative assessment of the structure-property relationship (QSPR) model indicated that size, shape, octanol-water coefficient, solubility and the balance between hydrophilic and lipophilic regions, are all relevant to K(oc) values.

Download full-text PDF

Source
http://dx.doi.org/10.1177/026119291404200111DOI Listing

Publication Analysis

Top Keywords

northern coastal
8
paraíba state
8
state brazil
8
quantitative structure-sorption
4
structure-sorption relationships
4
relationships pesticides
4
pesticides sugarcane
4
sugarcane industry
4
industry northern
4
coastal area
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!