Fomina Polina, Femenias Antoni, Aledda Miriam, Tafintseva Valeria, Freitag Stephan, Sulyok Michael, Kohler Achim, Krska Rudolf, Mizaikoff Boris
Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, Ulm 89075, Germany.
Faculty of Science and Technology, Norwegian University of Life Sciences, Dro̷bakveien 31, Ås 1432, Norway.
ACS Food Sci Technol. 2025 Jan 8;5(1):209-217. doi: 10.1021/acsfoodscitech.4c00730. eCollection 2025 Jan 17.
Mycotoxin contamination in cereals is a global food safety concern. One of the most common mycotoxins in grains is deoxynivalenol (DON), a secondary metabolite produced by the fungi and . Exposure to DON can lead to adverse health effects in both humans and animals including vomiting, dizziness, and fever. Hence, the development of analytical technologies capable of predicting mycotoxin contamination levels in grains is crucial. In this study, we emphasize innovative infrared (IR) spectroscopic technologies for the prediction of DON in wheat along the food supply chain. The performance of an IR laser spectroscopic platform for on-site or laboratory confirmative analysis was evaluated. Furthermore, the performance of a handheld IR spectrometer for preliminary screening during transportation, storage, or harvesting was assessed. The accuracy of cross validation (Acc) obtained with the laser spectrometer reached 92%, while the handheld IR spectrometer achieved 84.6%. Hence, both technologies prove significant potential for rapid mycotoxin detection.
谷物中的霉菌毒素污染是一个全球食品安全问题。谷物中最常见的霉菌毒素之一是脱氧雪腐镰刀菌烯醇（DON），它是真菌产生的一种次生代谢产物。接触DON会对人类和动物产生不良健康影响，包括呕吐、头晕和发烧。因此，开发能够预测谷物中霉菌毒素污染水平的分析技术至关重要。在本研究中，我们着重介绍用于预测小麦在整个食品供应链中DON含量的创新红外（IR）光谱技术。评估了用于现场或实验室确证分析的红外激光光谱平台的性能。此外，还评估了用于运输、储存或收获期间初步筛查的手持式红外光谱仪的性能。激光光谱仪获得的交叉验证准确率（Acc）达到92%，而手持式红外光谱仪达到84.6%。因此，这两种技术都显示出快速检测霉菌毒素的巨大潜力。
