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Advancing High-Throughput MS-Based Protein Quantification: A Case Study on Quantifying 10 Major Food Allergens by LC-MS/MS Using a One-Sample Multipoint External Calibration Curve

文献类型: 外文期刊

作者: Yang, Shupeng;Lin, Haopeng;Yang, Peijie;Meng, Junhong;Abdallah, Mohamed F.;Shencheng, Yingnan;Li, Ruohan;Li, Jianxun;Liu, Shuyan;Li, Qianqian;Lu, Peng;Zhang, Rong;Li, Yi

作者机构:

关键词: food allergen;LC-MS/MS;calibration curve;quantitative analysis;food safety

期刊名称: JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

ISSN: 0021-8561

年卷期: 2024 年

页码:

收录情况: SCIE(2024版) ; ; EI(2024版)

摘要: The LC-MS-based method has emerged as the preferred approach for quantifying food allergens. However, the preparation of a traditional calibration curve (MSCC) is labor-intensive and error-prone. Here, a sensitive and robust LC-MS/MS method for quantifying 10 major food allergens was developed and validated, where the one-sample multipoint external calibration curve (OSCC) was employed instead of MSCC. By employing the multiple isotopologue reaction monitoring (MIRM) technique with only one spiked level in the blank, OSCC can be effectively established. Results demonstrate that the proposed method exhibits excellent performance in selectivity, sensitivity, accuracy, and precision, comparable to that of the traditional MSCC. Additionally, this strategy allows for isotope sample dilution by monitoring the less abundant MIRM channel. Moreover, the developed method was successfully applied to investigate the contamination of 10 food allergens in commercial food products. With its high throughput and robustness, the MIRM-OSCC-LC-MS/MS methodology has many potential applications, especially in the MS-based protein quantification analysis.

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