Cited by 177Environmental Chemistry and AnalysisComputational Drug Discovery MethodsPesticide and Herbicide Environmental Studies

Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review

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Mamy, Laure, Patureau, Dominique, Barriuso, Enrique, Bedos, Carole, Bessac, Fabienne, Louchart, Xavier, Martin-laurent, Fabrice, Miege, Cecile +1 more·2015·Critical Reviews in Environmental Science and Technology

Abstract

hydrophobic behavior (especially through the K OW parameter), adsorption to soils and biodegradation.A lack of QSAR was observed to estimate desorption or potential of transfer to water.Among the 686 molecular descriptors, five were found to be dominant in the 790 collected equations and the most generic ones: four quantumchemical descriptors, the energy of the highest occupied molecular orbital (E HOMO ) and the energy of the lowest unoccupied molecular orbital (E LUMO ), polarizability (α) and dipole moment (μ), and one constitutional descriptor, the molecular weight.Keeping in mind that the combination of descriptors belonging to different categories (constitutional, topological, quantum-chemical) led to improve QSAR performances, these descriptors should be considered for the development of new QSAR, for further predictions of environmental parameters.This review also allows finding of the relevant QSAR equations to predict the fate of a wide diversity of compounds in the environment.

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  1. Gross, K. C., and Seybold, P. G. (2000). Substituents effects on the physical properties and pK a of aniline. International Journal of Quantum Chemistry 80, 1107-1115.
  2. Lee, A. C., and Crippen, G. M. (2009). Predicting pK a . Journal of Chemical Informa- tion and Modeling 49, 2013-2033.
  3. Leo, A. J. (1975). In Veith G.D. and Korasevich D.E. (Eds). Proceedings of Symposium on structure-activity correlations in studies of toxicity and bio-concentration with aquatic organisms (p 151). Great Lakes Research Advisory Board: Burlington, Ontario.
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Authors
Mamy, L., Patureau, D., Barriuso, E., Bedos, C., Bessac, F., Louchart, X., Martin-laurent, F., Miege, C., & Benoit, P.
Affiliations
  • AgroParisTech (FR)
  • Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
  • Centre National de la Recherche Scientifique (FR)
  • Université de Bourgogne (FR)
Corresponding author
Mamy, Laure
Venue
Critical Reviews in Environmental Science and Technology
Published
2014-09-09
Volume
45
Issue
12
Pages
1277-1377
ISSN
  • 1064-3389 (ISSN-L)
  • 1547-6537
OpenAlex
W2117380901
Cited by
177
References
387
Citations by year
2026: 19 · 2025: 23 · 2024: 21 · 2023: 17 · 2022: 17 · 2021: 17 · 2020: 23 · 2019: 10 · 2018: 10 · 2017: 11 · 2016: 8 · 2015: 1
FWCI
5.07
Type
journal article
Language
en
Open access
Locations
  • Critical Reviews in Environmental Science and Technology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • Cemadoc (Cemagref / IRSTEA) (submittedVersion)
  • Figshare (cc-by)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Environmental Chemistry and Analysis
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Environmental Science › Pollution › Pesticide and Herbicide Environmental Studies
Keywords
organic compounds, environmental fate prediction, QSAR, molecular descriptors, octanol-water partition coefficient, soil sorption, biodegradation, desorption, molecular weight, quantum chemical descriptors, topological indices

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