中文摘要：快速检测农产品中的霉菌毒素如脱氧雪腐镰刀菌烯醇和黄曲霉毒素B1， 一直受到食品进口商和经销商的关注。基于色谱分析的方法太复杂，仅适用于食品安全部门监督检验，而贸易商可用的快速检测法很少。本研究提出了一种改进的中红外光谱法，记录光谱用小样品制备。该方法能筛选出脱氧雪腐镰刀菌烯醇和黄曲霉毒素含量符合欧盟限量的玉米和花生样品。与用主成分分析法分类存在信息重叠的不足相比较，该方法具有更加优异的性能。
外文摘要：The rapid identification of mycotoxins such as deoxynivalenol and aflatoxin B1 in agricultural commodities is an ongoing concern for food importers and processors. While sophisticated chromatography-based methods are well established for regulatory testing by food safety authorities, few techniques exist to provide a rapid assessment for traders. This study advances the development of a mid-infrared spectroscopic method, recording spectra with little sample preparation. Spectral data were classified using a bootstrap-aggregated (bagged) decision tree method, evaluating the protein and carbohydrate absorption regions of the spectrum. The method was able to classify 79% of 110 maize samples at the European Union regulatory limit for deoxynivalenol of 1750 µg kg–1 and, for the first time, 77% of 92 peanut samples at 8 µg kg–1 of aflatoxin B1. A subset model revealed a dependency on variety and type of fungal infection. The employed CRC and SBL maize varieties could be pooled in the model with a reduction of classification accuracy from 90% to 79%. Samples infected with Fusarium verticillioides were removed, leaving samples infected with F. graminearum and F. culmorum in the dataset improving classification accuracy from 73% to 79%. A 500 µg kg–1 classification threshold for deoxynivalenol in maize performed even better with 85% accuracy. This is assumed to be due to a larger number of samples around the threshold increasing representativity. Comparison with established principal component analysis classification, which consistently showed overlapping clusters, confirmed the superior performance of bagged decision tree classification.
外文关键词：Analysis-MIR；chemometrics；aflatoxins；trichothecenes； cereals；peanuts
作者：Kos, G；Sieger, M；McMullin, D；Zahradnik, C；Sulyok, M；Oner, T；Mizaikoff, B；Krska, R
作者单位：McGill Univ
期刊名称：FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT
期刊影响因子：1.878
出版年份：2016
出版刊次：10
点击下载：一种按审管限值标准对含有霉菌毒素的玉米和花生进行FTIR光谱分析的化学计量分类法
