Matrix Behavior during Sample Preparation Using Metabolomics Analysis Approach for Pesticide Residue Analysis by GC-MS in Agricultural Products

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• 作者：Kuniyo Sugitate ; Machiko Saka ; Takeshi Serino ; Sadao Nakamura ; Akira Toriba ; Kazuichi Hayakawa
• 刊名：Journal of Agricultural and Food Chemistry
• 出版年：2012
• 出版时间：October 17, 2012
• 年：2012
• 卷：60
• 期：41
• 页码：10226-10234
• 全文大小：233K
• 年卷期：v.60,no.41(October 17, 2012)
• ISSN：1520-5118

文摘

The detailed matrices and their behaviors during pesticide residue analyses were clarified using a metabolomics analysis approach. The matrix profile was investigated using two different extraction solvents, acetone and acetonitrile. Acetone extracted the matrix components with a wide range of log P_O/W values. Components with log P_O/W values >10, such as sterols and tocopherols, and components with log P_O/W values <3.2 were more extracted by acetone than by acetonitrile. In contrast, components with log P_O/W values in the range from 3.2 to 10 were extracted by both acetone and acetonitrile at the same concentration level. The study also examined the difference in the column cleanup efficiency using a solid phase extraction (SPE). Florisil, silica gel, NH₂, PSA, and GCB were selected as representative columns for pesticide residue analysis, and acetone extraction of brown rice was selected in this experiment. Most of the matrix components were removed by either column, whereas monoacylglycerols, which are the components causing the matrix effect, were not removed by any column. Understanding such a detailed matrix behavior helps to develop a better analytical method for pesticide analysis using GC-MS.

Keywords:

pesticide residue analysis; matrix component; agricultural products; metabolomics; GC-MS