Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 25, 2026Environmental Science Processes & Impacts

Predictive Modelling of Pesticide Properties for Risk Assessment: A Curated Dataset and QSAR Evaluation for 110 Active Ingredients

View Full Paper
Ask AI
Bookmark
Share

Authors

PFPatricia Bi Asanga FaiLLLi Li

Discussion

Loading...

Member takes

Implication

Randomized trial evaluates pesticide properties using QSAR for risk assessment in tropical regions, indicating data importance.

Key Points

  • Assess the predictive modelling of pesticide properties for effective risk assessment.
  • Utilized a curated dataset of 110 active pesticide ingredients.
  • Conducted QSAR (Quantitative Structure-Activity Relationship) evaluations to ascertain properties.
  • Analyzed environmental and health risk factors associated with pesticides.
  • Identified key properties affecting toxicity and environmental impact.
  • Established correlations between pesticide structure and risk assessment outcomes.

Cite This Study

Fai et al. (2026) studied this question.

synapsesocial.com/papers/69ec5b2388ba6daa22dacbc1https://doi.org/10.1039/d5em00919g
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An international database for pesticide risk assessments and management2016 · 2,095 citations
  2. 2Improving Data Quality for Environmental Fate Models: A Least-Squares Adjustment Procedure for Harmonizing Physicochemical Properties of Organic Compounds2005 · 169 citations
  3. 3The acid/base profile of agrochemicals2017 · 12 citations
  4. 4Analytical Evaluation of Carbamate and Organophosphate Pesticides in Human and Environmental Matrices: A Review2022 · 205 citations
  5. 5Decreased Soil Nitrification Rate with Addition of Biochar to the Acid Soils2016 · 9 citations