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Analysis of pesticide residue in fruits and vegetables using analytical analytical protocol based on application of QuEChERS technique and GC-ECD system

Abstract

QuEChERS sample preparation method was used for the determination of 10 pesticides and their metabolites in fruits (apple, grape) and vegetables (tomato, paprika), coupled to gas chromatography with electron capture detector (GC-ECD). The experimental parameters including amount of the sample, types of solvents, extraction time and types of sorbent at the purification stage were optimized. The GC-ECD method was validated in terms of linearity, selectivity and recovery. The limits of detection for all investigated analyte ranged from 0.003 to 0.011 mg kg-1 and limits of quantification ranged from 0.009 to 0.03 mg kg-1. The mean recoveries from four matrices for development method ranged from 70 to 120 %, with relative standard deviations in the range of 3.9 to 7.2 % for all ten test compounds. The method is demonstrated to be convenient and reliable for the routine monitoring of pesticides and its metabolites in fruits and vegetables. QuEChERS approach takes advantages of the wide analytical scope and high degree of selectivity and sensitivity are simple, rapid and requires low solvent consumption. Which, in the era of green chemistry, represents a significant advantage. Therefore, this technology is of great interest because of its favourable toxicological, environment and economic aspects.

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Details

Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
International Journal of Global Environmental Issues no. 15, pages 136 - 150,
ISSN: 1466-6650
Language:
English
Publication year:
2016
Bibliographic description:
Stocka J., Biziuk M., Namieśnik J.: Analysis of pesticide residue in fruits and vegetables using analytical analytical protocol based on application of QuEChERS technique and GC-ECD system// International Journal of Global Environmental Issues. -Vol. 15., nr. 1/2 (2016), s.136-150
DOI:
Digital Object Identifier (open in new tab) 10.1504/ijgenvi.2016.074361
Verified by:
Gdańsk University of Technology

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