Quantum chemistry in environmental pesticide risk assessment
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
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Format: | artículo biblioteca |
Language: | English |
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Wiley
2017
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Subjects: | Pesticide, Risk assessment, Environmental, Quantum chemistry, QSAR, |
Online Access: | http://hdl.handle.net/20.500.12792/4730 http://hdl.handle.net/10261/291777 |
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dig-inia-es-10261-2917772023-02-20T07:22:07Z Quantum chemistry in environmental pesticide risk assessment Villaverde, J. J. López Goti, Carmen Alcamí, M. Lamsabhi, A. M. Alonso Prados, José Luis Sandín España, Pilar Pesticide Risk assessment Environmental Quantum chemistry QSAR 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 2023-02-20T07:22:06Z 2023-02-20T07:22:06Z 2017 artículo Pest Management Science 73: 2199-2202 (2017) 1526-498X http://hdl.handle.net/20.500.12792/4730 http://hdl.handle.net/10261/291777 10.1002/ps.4641 1526-4998 en none Wiley |
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Pesticide Risk assessment Environmental Quantum chemistry QSAR Pesticide Risk assessment Environmental Quantum chemistry QSAR |
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Pesticide Risk assessment Environmental Quantum chemistry QSAR Pesticide Risk assessment Environmental Quantum chemistry QSAR Villaverde, J. J. López Goti, Carmen Alcamí, M. Lamsabhi, A. M. Alonso Prados, José Luis Sandín España, Pilar Quantum chemistry in environmental pesticide risk assessment |
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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 |
format |
artículo |
topic_facet |
Pesticide Risk assessment Environmental Quantum chemistry QSAR |
author |
Villaverde, J. J. López Goti, Carmen Alcamí, M. Lamsabhi, A. M. Alonso Prados, José Luis Sandín España, Pilar |
author_facet |
Villaverde, J. J. López Goti, Carmen Alcamí, M. Lamsabhi, A. M. Alonso Prados, José Luis Sandín España, Pilar |
author_sort |
Villaverde, J. J. |
title |
Quantum chemistry in environmental pesticide risk assessment |
title_short |
Quantum chemistry in environmental pesticide risk assessment |
title_full |
Quantum chemistry in environmental pesticide risk assessment |
title_fullStr |
Quantum chemistry in environmental pesticide risk assessment |
title_full_unstemmed |
Quantum chemistry in environmental pesticide risk assessment |
title_sort |
quantum chemistry in environmental pesticide risk assessment |
publisher |
Wiley |
publishDate |
2017 |
url |
http://hdl.handle.net/20.500.12792/4730 http://hdl.handle.net/10261/291777 |
work_keys_str_mv |
AT villaverdejj quantumchemistryinenvironmentalpesticideriskassessment AT lopezgoticarmen quantumchemistryinenvironmentalpesticideriskassessment AT alcamim quantumchemistryinenvironmentalpesticideriskassessment AT lamsabhiam quantumchemistryinenvironmentalpesticideriskassessment AT alonsopradosjoseluis quantumchemistryinenvironmentalpesticideriskassessment AT sandinespanapilar quantumchemistryinenvironmentalpesticideriskassessment |
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1767603253642526720 |