Technology and Food Science Unit, Flanders Research Institute, Institute for Agriculture, Fisheries and Food (ILVO), Burg. Van Gansberghelaan 115, 9820, Merelbeke, Belgium.
Faculty of Medicine and Health Science, Department of Otorhinolaryngology, Ghent University, 9000, Ghent, Belgium.
Anal Bioanal Chem. 2017 Sep;409(22):5201-5207. doi: 10.1007/s00216-017-0506-4. Epub 2017 Jul 26.
The recent detection of nuts (including peanut) in spices across the globe has led to enormous recalls of several spices and food products in the last two years. The lack of validated detection methods specific for spices makes it difficult to assess allergen presence at trace levels. Because of the urgent need for confirmation of possible peanut presence in chili peppers, an LC-MS/MS method was optimized and developed for this particular food matrix. Although several studies optimized LC-MS detection strategies specific for peanuts, the presence of complex components in the spices (e.g., phenolic components) makes method optimization and validation necessarily. Focus was laid on validation of the method with real incurred chili peppers (whereby a known amount of peanut is added) at low concentrations, to deal with possible matrix interferences. LC-MS/MS proves to be a good alternative to the currently most applied methods (ELISA and RT-PCR) and can be used as a complementary method of analysis when results are unclear. Peanut marker peptides were selected based on their abundancy in digested incurred chili peppers. The limit of detection was determined to be 24 ppm (mg peanut/kg), a level whereby the risk for potential allergic reactions is zero, considering the typical portion size of spices. The chili pepper powder under investigation proved to contain low levels of peanuts after LC-MS/MS, ELISA, and RT-PCR testing. Graphical abstract Standard curve of the detected peanuts in chili pepper samples using the novel LC-MS/MS method.
近年来,全球各地的香料中都检测到了坚果(包括花生),这导致过去两年中对许多香料和食品进行了大规模召回。由于缺乏针对香料的经过验证的检测方法,因此很难评估痕量过敏原的存在。由于迫切需要确认辣椒粉中是否存在花生,因此针对这种特殊的食品基质优化并开发了 LC-MS/MS 方法。尽管有几项研究针对花生优化了 LC-MS 检测策略,但香料中的复杂成分(例如酚类成分)使得方法的优化和验证变得必要。研究重点是在低浓度下用实际摄入的辣椒粉(其中添加了已知量的花生)验证方法,以应对可能的基质干扰。LC-MS/MS 被证明是目前最应用的方法(ELISA 和 RT-PCR)的良好替代品,并且当结果不清楚时,可以用作补充分析方法。根据在消化摄入的辣椒粉中的丰度选择了花生标记肽。检测限确定为 24 ppm(mg 花生/kg),考虑到香料的典型部分大小,这一水平下潜在过敏反应的风险为零。经 LC-MS/MS、ELISA 和 RT-PCR 测试,所研究的辣椒粉粉中发现花生含量低。