中文摘要：真菌毒素是破坏食物并严重影响人体健康（例如致癌）的真菌毒性次生代谢物。因此，快速测定食品和饲料样品中的真菌毒素污染物，包括脱氧雪腐镰刀菌烯醇和黄曲霉毒素B1，对商品进口商和制造商来说最为重要。虽然基于色谱分析的技术在实验室环境中已经非常完善，但只有极少数（主要是免疫化学）技术能为贸易者和制造商提供直接的现场分析。本研究提出了MYCOSPEC——一种首次创新性利用中红外可调谐量子级联激光(QCL)光谱检测欧盟审管限值内的霉菌毒素污染物的光谱分析法。该分析技术将QCL技术与GaAs /AlGaAs薄膜波导相结合，促进了霉菌毒素的现场分析。
外文摘要：Mycotoxins are toxic secondary metabolites of fungi that spoil food, and severely impact human health (e.g., causing cancer). Therefore, the rapid determination of mycotoxin contamination including deoxynivalenol and aflatoxin B1 in food and feed samples is of prime interest for commodity importers and processors. While chromatography-based techniques are well established in laboratory environments, only very few (i.e., mostly immunochemical) techniques exist enabling direct on-site analysis for traders and manufacturers. In this study, we present MYCOSPEC - an innovative approach for spectroscopic mycotoxin contamination analysis at EU regulatory limits for the first time utilizing mid-infrared tunable quantum cascade laser (QCL) spectroscopy. This analysis technique facilitates on-site mycotoxin analysis by combining QCL technology with GaAs/AlGaAs thin-film waveguides. Multivariate data mining strategies (i.e., principal component analysis) enabled the classification of deoxynivalenol-contaminated maize and wheat samples, and of aflatoxin B1 affected peanuts at EU regulatory limits of 1250 μg kg-1 and 8 μg kg-1, respectively.
作者：Sieger, M；Kos, G；Sulyok, M；Godejohann, M；Krska, R；Mizaikoff, B
作者单位：Univ Ulm
期刊名称：SCIENTIFIC REPORTS
期刊影响因子：5.228
出版年份：2017
出版刊次：3
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