School of Food Science and Technology, International Joint Laboratory On Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China.
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100020, People's Republic of China.
Anal Bioanal Chem. 2024 Sep;416(22):4999-5012. doi: 10.1007/s00216-024-05438-y. Epub 2024 Aug 2.
Oat products have gained widespread recognition as a health food due to their rich and balanced nutritional profile and convenience. However, the unique matrix composition of oats, which differs significantly from other cereals, presents specific challenges for mycotoxin analysis. This study presents an ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method enhanced with an innovative egg white gel pretreatment for the simultaneous analysis of 13 regulated and unregulated trichothecenes in oats. The method demonstrated excellent performance with high accuracy (> 87.5%), repeatability (< 5.7%), and reproducibility (< 8.1%). Analysis of 100 commercial oat products revealed a concerning detection rate (78%) for at least one of the 11 trichothecenes investigated. Notably, deoxynivalenol, exceeding the standard limit in 2% of samples, exhibited the highest detection rate (62%). Additionally, concerning co-occurrence patterns and positive correlations were observed, highlighting potential synergistic effects. The first-time detection of unregulated mycotoxins (T-2 triol, 4,15-diacetoxyscirpenol, 15-acetoxyscirpenol, and neosolaniol) underscores the need for comprehensive monitoring. This method, while developed for oats, shows potential for broader application to other cereals, though further investigation and confirmation are necessary. These findings suggest a potentially underestimated risk of trichothecenes in oats, necessitating continuous monitoring to ensure consumer safety.
燕麦产品因其丰富且均衡的营养成分和便利性而被广泛认可为健康食品。然而，燕麦独特的基质组成与其他谷物有很大的不同，这给真菌毒素分析带来了特殊的挑战。本研究提出了一种超高效液相色谱-串联质谱（UHPLC-MS/MS）方法，该方法通过创新的蛋清凝胶预处理来同时分析燕麦中的 13 种规定和非规定的单端孢霉烯族毒素。该方法表现出了优异的性能，具有高准确度（>87.5%）、重复性（<5.7%）和再现性（<8.1%）。对 100 种商业燕麦产品的分析显示，在所研究的 11 种单端孢霉烯族毒素中，至少有一种的检出率令人担忧（78%）。值得注意的是，超过标准限量的脱氧雪腐镰刀菌烯醇在 2%的样品中表现出最高的检出率（62%）。此外，还观察到了令人担忧的共同出现模式和正相关，突出了潜在的协同作用。首次检测到非规定的真菌毒素（T-2 三醇、4,15-二乙酰基脱氧雪腐镰刀菌烯醇、15-乙酰脱氧雪腐镰刀菌烯醇和新茄病镰刀菌醇）强调了进行全面监测的必要性。该方法虽然是针对燕麦开发的，但也有可能扩展到其他谷物，尽管需要进一步的研究和确认。这些发现表明，燕麦中单端孢霉烯族毒素的风险可能被低估，需要持续监测以确保消费者的安全。
