{"id":60840,"date":"2025-11-07T16:05:18","date_gmt":"2025-11-07T16:05:18","guid":{"rendered":"https:\/\/discover.restek.com\/?p=60840"},"modified":"2026-01-08T14:22:34","modified_gmt":"2026-01-08T14:22:34","slug":"semiautomated-method-for-in-line-removal-of-matrix-components-from-food-for-the-analysis-of-residual-pesticides-by-lc-ms-ms","status":"publish","type":"post","link":"https:\/\/discover.restek.com\/zh-hans\/posters-presentations-zh\/gnot5334\/semiautomated-method-for-in-line-removal-of-matrix-components-from-food-for-the-analysis-of-residual-pesticides-by-lc-ms-ms","title":{"rendered":"Semiautomated Method for In-Line Removal of Matrix Components from Food for the Analysis of Residual Pesticides by LC-MS\/MS"},"content":{"rendered":"\n

In-line sample prep (ILSP) provides a semiautomated cleanup procedure for the analysis of pesticide residues in food by LC-MS\/MS. ILSP selectively retains matrix components from the sample extract and can be utilized as a standalone workflow or integrated into an existing QuEChERS workflow. In these experiments, ILSP was applied to multiple challenging commodities representing a wide range of compositions, including soy meal, avocado, whole orange, black tea, and hibiscus tea for the analysis of 61 pesticides. This solution provides a novel, semiautomated approach to reduce the abundance of matrix components entering the analytical column and MS source, resulting in a decrease in instrument contamination and an improvement in data quality. Recoveries were tested at 10 ng\/g for each commodity and returned acceptable values (70-120% recovery with %RSD \u226420%) for 98% of pesticides in soy meal, 95% in avocado, 98% in black tea, 82% in hibiscus tea, and 87% in whole orange. The semi-automation of the methodology reduces error, simplifies sample preparation, and increases throughput compared to traditional extraction and cleanup techniques for a streamlined approach for the analysis of pesticide residues in food commodities.<\/p>\n\n\n\n