Valasi Lydia, Georgiadou Maria, Tarantilis Petros A, Yanniotis Stavros, Pappas Christos S
Laboratory of General Chemistry, Department of Food Science and Human Nutrition, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece.
Laboratory of Food Process Engineering, Department of Food Science and Human Nutrition, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece.
J Food Sci Technol. 2021 Jan;58(1):356-365. doi: 10.1007/s13197-020-04549-5. Epub 2020 Jun 6.
Aflatoxin in pistachios has been analyzed in this work, using Diffuse Reflectance Infrared Spectroscopy (DRIFTS) with chemometrics. Forty-nine Greek pistachio samples of different aflatoxin concentrations were classified into aflatoxin and non-aflatoxin groups using the 3035-2821, 1770-1721, 1570-1481 and 1260-1061 cm spectral regions in Kubelka-Munk conversion and first derivative form. A chemometric model was developed using twenty-eight samples as calibration, 11 as validation and 10 as test set. The discrimination analysis separated correctly the 100% of the calibration and the validation set and the 80% of the test set. The proposed chemometric model is simple, rapid, economical and environmentally friendly since it does not require chemical pre-treatment of the samples. It is expected that the present method may be proved useful in food industry and the inspection authorities as a rapid decision-making tool to detect batches that must be rejected and enhance consumers' protection from aflatoxin contaminated pistachios.
在本研究中，采用漫反射红外光谱法（DRIFTS）结合化学计量学对开心果中的黄曲霉毒素进行了分析。利用Kubelka-Munk转换和一阶导数形式，在3035 - 2821、1770 - 1721、1570 - 1481和1260 - 1061 cm光谱区域，将49个不同黄曲霉毒素浓度的希腊开心果样品分为黄曲霉毒素组和非黄曲霉毒素组。使用28个样品作为校准集、11个样品作为验证集、10个样品作为测试集建立了化学计量学模型。判别分析正确地分离了100%的校准集和验证集以及80%的测试集。所提出的化学计量学模型简单、快速、经济且环保，因为它不需要对样品进行化学预处理。预计本方法可能会在食品工业和检验机构中被证明是一种有用的快速决策工具，用于检测必须拒收的批次，并加强对消费者免受黄曲霉毒素污染开心果的保护。
