Abstract
This work reports a new selective and accurate multiresidue procedure for determination of 25 pesticides in red wine by GC-MS. Proposed procedure uses an original approach in sample preparation technique based on QuEChERS theory. Main focus of method development was modification of salts thus increasing ionic strength of solution which improved pesticides partitioning and extraction efficiency. LOQs were in the range 0.01–250 μg L–1 with 56 % of target pesticides below or equal to 10 μg L–1. RSD for most pesticides was < 20 % and recoveries were in the range 70–120 %. Matrix effect was found to be high for five pesticides confirming sample preparation procedure to be efficient. The proposed procedure was applied to 12 wine samples of different variety with determination of 40 % of target pesticides. Developed GC-MS methodology provides novel, selective and accurate approach for determination of 25 pesticide residues in red wine.
Highlights
N OWADAYS, there is an essential need for pesticide residue analysis in food and environmental samples
The main goal of this study was to develop and optimize new multiresidue method for determination of pesticides in wine based on QuEChERS methodology.[5,13,14]
Our results indicate that original QuEChERS methodology is not applicable for determination of pesticide residues in red wine
Summary
N OWADAYS, there is an essential need for pesticide residue analysis in food and environmental samples. Maximum levels for contaminants in food are decreasing, which has resulted in a growing need for more sensitive and reliable detection methodology. Such methods should not be oriented toward single pesticide analysis but toward development of multiresidue methods for simultaneous detection of a wide variety of pesticides. Trace analysis of pesticides requires efficient sample preparation.[1] Determination techniques based on chromatographic separations are continuously improving; the use of mass spectrometry has enabled detection of analyte by the selection of ions of interest, reducing in this way the interferences. Matrix effects can have a great impact on detection systems; for instance detector noise, analyte response or ionization efficiency, which is directly related to the limits of detection and quantification.[2]
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