Matrix-effects of vegetable commodities in electron-capture detection applied to pesticide multiresidue analysis

The influence of the sample matrix in the analysis of pesticides in vegetable samples has been studied in order to determine if the matrix content introduces a systematic or proportional (or both) bias in the measurements. Experiments have been carried out during a 4-month period, in which calibrati...

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Published inJournal of Chromatography A Vol. 966; no. 1; pp. 155 - 165
Main Authors EGEA GONZALEZ, F. J, HERNANDEZ TORRES, M. E, ALMANSA LOPEZ, E, CUADROS-RODRIGUEZ, L, MARTINEZ VIDAL, J. L
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 09.08.2002
Elsevier
Subjects
Biological and medical sciences
Calibration
Chromatography, Gas
Food industries
Fruit and vegetable industries
Fundamental and applied biological sciences. Psychology
Pesticide Residues - analysis
Pesticides
Reproducibility of Results
Vegetables - chemistry
Food analysis
Vegetables
Pesticides
Chemical analysis
Pepper
Fruit vegetable
Tomato
Eggplant
Chlorothalonil
Quantitative analysis
Trace analysis
Validation
Electron capture detector
Covariance analysis
Watermelon
French bean
Spice
Matrix effect
Calibration
Marrow
Contamination
Gas chromatography
Multicomponent analysis
Residue
Error correction
Cucumber
Melon
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Summary:The influence of the sample matrix in the analysis of pesticides in vegetable samples has been studied in order to determine if the matrix content introduces a systematic or proportional (or both) bias in the measurements. Experiments have been carried out during a 4-month period, in which calibration curves, prepared in solvent and in vegetable matrix, were prepared and analysed. A statistical treatment has been applied in order to: (i) check the stability of such calibrations during the period studied; (ii) compare both solvent and matrix-matched calibrations; and (iii) obtain a correction function. Applying the correction function to the results obtained with a solvent calibration it is possible to make a prediction of the values obtained applying a matrix-matched calibration. The performance of the correction function has been validated with recovery data. Finally the uncertainty derived from the use of each calibration plot and the correction function has been calculated.
ISSN:0021-9673
DOI:10.1016/S0021-9673(02)00707-0