Utilize este identificador para referenciar este registo:
acessibilidade
http://hdl.handle.net/20.500.12207/5622
Título: | QuEChERS-based analytical methods developed for LC-MS/MS multiresidue determination of pesticides in representative crop fatty matrices: Olives and sunflower seeds |
Autor: | García-Vara, M. Postigo, C. Palma, Patricia José Bleda, M. Lopez de Alda, M. |
Palavras-chave: | Pesticide residue analysis Agrochemicals Liquid chromatography-tandem mass spectrometry Insecticides Herbicides Sample pre-treatment |
Data: | Ago-2022 |
Editora: | Elsevier |
Citação: | García-Vara, M., Postigo, C., Palma, P., José Bleda, M. & López de Alda, M. (2022). QuEChERS-based analytical methods developed for LC-MS/MS multiresidue determination of pesticides in representative crop fatty matrices: Olives and sunflower seeds. Food Chemistry, 386, 1-10. https://doi.org/10.1016/j.foodchem.2022.132558 |
Resumo: | Oilseed crops are greatly extended all over the world. Their high fat content can interfere during pesticide multiresidue analysis through liquid chromatography-tandem mass spectrometry (LC-MS/MS). This work aimed at overcoming this issue by developing and validating two QuEChERS-based methods for LC-MS/MS determination of 42 pesticides in two fatty food matrices: olives and sunflower seeds. Optimization of the extraction method was achieved following a 26-2 fractional factorial design in a highly cost-effective way. Validation of the multi-residue methods demonstrated improved limits of detection, below the established maximum residue levels (MRLs) for almost all compounds, good precision, and trueness, in compliance with SANTE guidelines. Application of these methods to the analysis of real samples from the Iberian Peninsula showed the presence of some pesticides of relevant environmental concern, including four compounds contained in the Pesticide Action Network International list of highly hazardous pesticides, found at levels between 0.03 ng/g and 104 ng/g. |
Arbitragem científica: | yes |
URI: | https://hdl.handle.net/20.500.12207/5622 |
DOI: | https://doi.org/10.1016/j.foodchem.2022.132558 |
ISSN: | 0308-8146 |
Versão do Editor: | http://www.journals.elsevier.com/food-chemistry/ |
Aparece nas coleções: | D-TCA - Artigos em revistas indexadas à WoS/Scopus |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
QuEChERS-based analytical_PDFA.pdf | 540.84 kB | Adobe PDF | Ver/Abrir |
Este registo está protegido por Licença Creative Commons