Analysis of Endocrine Disrupting Pesticides by Capillary GC with Mass Spectrometric Detection
Autor: | Eva Matisová, Svetlana Hrouzková |
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Rok vydání: | 2012 |
Předmět: |
conventional capillary gas chromatography
Health Toxicology and Mutagenesis lcsh:Medicine Review Endocrine Disruptors Gas Chromatography-Mass Spectrometry mass spectrometric detection endocrine disrupting pesticides Humans Endocrine system Sample preparation Pesticides Detection limit Chromatography fast gas chromatography Chemistry lcsh:R Pesticide Residues Public Health Environmental and Occupational Health Pesticide endocrine disrupting chemicals Method development Mass spectrometric Normal functioning Separation method ultra-trace analysis |
Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 9, Iss 9, Pp 3166-3196 (2012) |
ISSN: | 1660-4601 |
Popis: | Endocrine disrupting chemicals, among them many pesticides, alter the normal functioning of the endocrine system of both wildlife and humans at very low concentration levels. Therefore, the importance of method development for their analysis in food and the environment is increasing. This also covers contributions in the field of ultra-trace analysis of multicomponent mixtures of organic pollutants in complex matrices. With this fact conventional capillary gas chromatography (CGC) and fast CGC with mass spectrometric detection (MS) has acquired a real importance in the analysis of endocrine disrupting pesticide (EDP) residues. This paper provides an overview of GC methods, including sample preparation steps, for analysis of EDPs in a variety of matrices at ultra-trace concentration levels. Emphasis is put on separation method, mode of MS detection and ionization and obtained limits of detection and quantification. Analysis time is one of the most important aspects that should be considered in the choice of analytical methods for routine analysis. Therefore, the benefits of developed fast GC methods are important. |
Databáze: | OpenAIRE |
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