PDF(Pubmed)
Abstract：
Mycotoxin contamination on food and feed can have deleterious effect on human and animal health. Agricultural crops may contain one or more mycotoxin compounds; therefore, a good multiplex detection method is desirable to ensure food safety. In this study, we developed a rapid method using label-free surface-enhanced Raman spectroscopy (SERS) to simultaneously detect three common types of mycotoxins found on corn, namely aflatoxin B1 (AFB1), zearalenone (ZEN), and ochratoxin A (OTA). The intrinsic chemical fingerprint from each mycotoxin was characterized by their unique Raman spectra, enabling clear discrimination between them. The limit of detection (LOD) of AFB1, ZEN, and OTA on corn were 10 ppb (32 nM), 20 ppb (64 nM), and 100 ppb (248 nM), respectively. Multivariate statistical analysis was used to predict concentrations of AFB1, ZEN, and OTA up to 1.5 ppm (4.8 µM) based on the SERS spectra of known concentrations, resulting in a correlation coefficient of 0.74, 0.89, and 0.72, respectively. The sampling time was less than 30 min per sample. The application of label-free SERS and multivariate analysis is a promising method for rapid and simultaneous detection of mycotoxins in corn and may be extended to other types of mycotoxins and crops.
摘要：
食品和饲料上的霉菌毒素污染会对人和动物健康产生有害影响。农作物可能含有一种或多种霉菌毒素化合物；因此，良好的多重检测方法是保证食品安全的必要条件。在这项研究中,我们开发了一种使用无标记表面增强拉曼光谱（SERS）的快速方法，以同时检测玉米上发现的三种常见类型的霉菌毒素，即黄曲霉毒素B1(AFB1)，玉米赤霉烯酮(ZEN),和曲霉毒素A(OTA)。每种霉菌毒素的内在化学指纹特征在于它们独特的拉曼光谱，明确区分他们。AFB1、ZEN、玉米上的OTA为10ppb（32nM），20ppb(64nM),和100ppb(248nM)，分别。多因素统计分析用于预测AFB1、ZEN、和OTA高达1.5ppm（4.8µM），基于已知浓度的SERS光谱，相关系数分别为0.74、0.89和0.72。每个样品的取样时间小于30分钟。无标记SERS和多变量分析的应用是一种快速，同时检测玉米中霉菌毒素的有前途的方法，并且可能扩展到其他类型的霉菌毒素和作物。
