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Identification and characterization of tebuconazole transformation products in soil by combining suspect screening and molecular typology

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Autor
Storck V., Lucini L., Mamy L., Ferrari F., Papadopoulou E.S., Nikolaki S., Karas P.A., Servien R., Karpouzas D.G., Trevisan M., Benoit P., Martin-Laurent F.
Fecha
2016
Language
en
DOI
10.1016/j.envpol.2015.10.027
Materia
Mass spectrometry
Organic pollutants
Pesticides
Soils
Environmental parameter
Environmental property
Environmental risk assessment
Molecular typology
Regulatory frameworks
Structure correlations
Time of flight mass spectrometry
Transformation products
Risk assessment
tebuconazole
fungicide
soil
soil pollutant
tebuconazole
triazole derivative
dissipation
ecotoxicology
environmental risk
organic pollutant
pesticide
regulatory framework
risk assessment
typology
analytic method
Article
chemical structure
controlled study
molecular library
physical chemistry
risk assessment
soil analysis
soil degradation
structure analysis
time of flight mass spectrometry
analysis
biotransformation
chemistry
environmental monitoring
metabolism
microbiology
soil
soil pollutant
tandem mass spectrometry
Biotransformation
Environmental Monitoring
Fungicides, Industrial
Soil
Soil Microbiology
Soil Pollutants
Tandem Mass Spectrometry
Triazoles
Elsevier Ltd
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Resumen
Pesticides generate transformation products (TPs) when they are released into the environment. These TPs may be of ecotoxicological importance. Past studies have demonstrated how difficult it is to predict the occurrence of pesticide TPs and their environmental risk. The monitoring approaches mostly used in current regulatory frameworks target only known ecotoxicologically relevant TPs. Here, we present a novel combined approach which identifies and categorizes known and unknown pesticide TPs in soil by combining suspect screening time-of-flight mass spectrometry with in silico molecular typology. We used an empirical and theoretical pesticide TP library for compound identification by both non-target and target time-of-flight (tandem) mass spectrometry, followed by structural proposition through a molecular structure correlation program. In silico moleculxar typology was then used to group TPs according to common molecular descriptors and to indirectly elucidate their environmental parameters by analogy to known pesticide compounds with similar molecular descriptors. This approach was evaluated via the identification of TPs of the triazole fungicide tebuconazole occurring in soil during a field dissipation study. Overall, 22 empirical and 12 yet unknown TPs were detected, and categorized into three groups with defined environmental properties. This approach combining suspect screening timeofflight mass spectrometry with molecular typology could be extended to other organic pollutants and used to rationalize the choice of TPs to be investigated towards a more comprehensive environmental risk assessment scheme. © 2015 Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/11615/79491
Colecciones
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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