Animal-Derived Food Safety Innovation Team, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, People's Republic of China; Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China.
Department of Food Technology, Food Safety and Health, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, Assiut University, Assiut 71515, Egypt.
Food Chem. 2023 Sep 15;420:135593. doi: 10.1016/j.foodchem.2023.135593. Epub 2023 Jan 30.
Preparing of calibration curves are critical steps for accurate quantitative LC-MS bioanalysis. Traditional multi-sample external calibration curve (MSCC) is labor-intensive and prone to error. In this study, a novel strategy of one sample multi-point calibration curve (OSCC) using multiple isotopologue reaction monitoring (MIRM) was proposed and validated using LC-MS for the quantitation of six aflatoxins in milk and oat-based milk samples. The developed MIRM-OSCC methodology is comprehensively validated and the results indicated that the established method exhibits good performance in selectivity, sensitivity, accuracy and precision. Furthermore, the OSCC could realize sample dilution by monitoring the MIRM channel with less intensity for samples beyond the upper limit of quantification, without the need of sample dilution, which improves the assay throughput. Considering the advantages of excluding the MSCC preparation and sample dilution in OSCC, this strategy can be widely applied in various fields such as drugs, food safety and environmental analysis.
校准曲线的制备是准确进行 LC-MS 生物分析的关键步骤。传统的多样本外标校准曲线（MSCC）既繁琐又容易出错。在这项研究中，我们提出了一种使用多同位素反应监测（MIRM）的单点校准曲线（OSCC）的新策略，并使用 LC-MS 对牛奶和燕麦基牛奶样品中的六种黄曲霉毒素进行了定量分析，对该策略进行了验证。该方法经过全面验证，结果表明该方法在选择性、灵敏度、准确性和精密度方面均表现出良好的性能。此外，通过监测强度较低的 MIRM 通道，可以对定量限以上的样品进行稀释，而无需进行样品稀释，从而提高了分析通量。考虑到 OSCC 中无需进行 MSCC 制备和样品稀释的优势，该策略可广泛应用于药物、食品安全和环境分析等各个领域。
