2002
DOI: 10.1039/b201461k
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Estimation and correction of matrix effects in gas chromatographic pesticide multiresidue analytical methods with a nitrogen–phosphorus detector

Abstract: The assessment of matrix effects in the quantification of organophosphorus pesticides in fruit and vegetables by GC-NPD, were studied applying ANCOVA. Calibration curves prepared in solvent were compared with calibration curves prepared in a blank matrix extract for eight different commodities, establishing whether the matrix induces systematic or proportional errors in the quantification of the pesticides. In such cases correction functions were obtained and validated by quantifying spiked samples using solve… Show more

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Cited by 17 publications
(7 citation statements)
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“…[79][80][81][82] Na Figura 6A, B e C estão representadas as curvas analíticas de análises cromatográficas de deltametrina em tomate, 77 thiametoxan em solo e batata. 83 Em cada gráfico, as curvas analíticas dos agrotóxicos foram obtidas em solventes puros e em extratos das matrizes.…”
Section: Função De Correçãounclassified
“…[79][80][81][82] Na Figura 6A, B e C estão representadas as curvas analíticas de análises cromatográficas de deltametrina em tomate, 77 thiametoxan em solo e batata. 83 Em cada gráfico, as curvas analíticas dos agrotóxicos foram obtidas em solventes puros e em extratos das matrizes.…”
Section: Função De Correçãounclassified
“…Matrix effects have been described in the literature in the determination of pesticide residues in different fields by several authors [16,17,18,19,20]. Calibration curves were produced by using both matrix-matched (in each matrix) and solvent based standards of the same concentration, because the target vegetable matrices contain many compounds that are co-extracted in the extraction organic solvent.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, many non-fatty matrices are identified as tending to give matrix effects, such as apple, tomato, banana, orange peel, stone fruits, carrot, leafy vegetables, wheat, wine etc. (Miyahara et al, 1994;Egea González et al, 2002;Navarro et al, 2002;Patel et al, 2004;Georgakopoulos et al, 2007;Freitas & Lanças, 2009), due to the high co-extracts amount persisting in the GC analytical sample, necessitating the application of clean-up step(s) (Dorea et al, 1996;Hajšlová et al, 1998;Schenck & Lehotay, 2000;Li et al, 2008). It should also be addressed that matrix effects are difficult to study because of the different analysis conditions for the samples, since the effects of simple maintenance application (e.g.…”
Section: Matrix-induced Enhancement Effectsmentioning
confidence: 99%
“…Its use may result in several benefits, such as elimination of matrix interferences causing such phenomena, high recoveries, detection and quantification limits (LODs and LOQs, respectively), reduction of maintenance needs for the GC instrument due to the relatively clean extract (e.g., lower changes of liners and capillary columns, smaller detector contamination by the impurities) and restriction of enhancement effects (Hajšlová et al, 1998;Schenck & Lehotay, 2000;García-Reyes et al, 2007). The major disadvantage is the demanding for extra labor time and cost (Greve, 1988;Egea González et al, 2002;Beyer & Biziuk, 2008;Schenck & Wong, 2008) because of the increasing needs for additional solvent amounts, columns (Florisil, SPE) and sorbents (primary secondary amine-PSA, octadecyl-C 18 , graphitized carbon black-GCB) (Dorea et al, 1996;Schenk et al, 2002;Anastassiades et al, 2003a;Li et al, 2008). It should also be noticed that the more the steps of an MRM, the higher the possibility for analytes partial loss and the increase of the combined uncertainty during the procedure (Hajšlová et al, 1998;Menkissoglu-Spiroudi & Fotopoulou, 2004;Poole, 2007).…”
Section: Matrix-induced Enhancement Effectsmentioning
confidence: 99%
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