Durmuş Efkan, Güneş Ali, Kalkan Habil
Vision, Image Processing and Pattern Recognition Laboratory (VIPLAB), Süleyman Demirel University, Department of Computer Engineering, Isparta, 32260, Turkey.
J Sci Food Agric. 2017 Jan;97(1):317-323. doi: 10.1002/jsfa.7735. Epub 2016 May 11.
Aflatoxins are toxic metabolites that are mainly produced by members of the Aspergillus section Flavi on many agricultural products. Certain agricultural products such as figs are known to be high risk products for aflatoxin contamination. Aflatoxin contaminated figs may show a bright greenish yellow fluorescence (BGYF) under ultraviolet (UV) light at a wavelength of 365 nm. Traditionally, BGYF positive figs are manually selected by workers. However, manual selection depends on the expertise level of the workers and it may cause them skin-related health problems due to UV radiation.
In this study, we propose a non-invasive approach to detect aflatoxin and surface mould contaminated figs by using Fourier transform near-infrared (FT-NIR) reflectance spectroscopy. A classification accuracy of 100% is achieved for classifying the figs into aflatoxin contaminated/uncontaminated and surface mould contaminated/uncontaminated categories. In addition, a strong correlation has been found between aflatoxin and surface mould.
Combined with pattern classification methods, the NIR spectroscopy can be used to detect aflatoxin contaminated figs non-invasively. Furthermore, a positive correlation between surface mould and aflatoxin contamination leads to a promising alternative indicator for the detection of aflatoxin-contaminated figs. © 2016 Society of Chemical Industry.
黄曲霉毒素是主要由黄曲霉群成员在许多农产品上产生的有毒代谢产物。某些农产品，如无花果，已知是黄曲霉毒素污染的高风险产品。被黄曲霉毒素污染的无花果在波长为365nm的紫外光下可能会呈现亮黄绿色荧光（BGYF）。传统上，BGYF阳性的无花果由工人手动挑选。然而，人工挑选取决于工人的专业水平，并且由于紫外线辐射可能会给他们带来与皮肤相关的健康问题。
在本研究中，我们提出了一种利用傅里叶变换近红外（FT-NIR）反射光谱法非侵入性检测被黄曲霉毒素和表面霉菌污染的无花果的方法。将无花果分类为被黄曲霉毒素污染/未污染和被表面霉菌污染/未污染类别时，分类准确率达到了100%。此外，还发现黄曲霉毒素与表面霉菌之间存在很强的相关性。
结合模式分类方法，近红外光谱可用于非侵入性检测被黄曲霉毒素污染的无花果。此外，表面霉菌与黄曲霉毒素污染之间的正相关关系为检测被黄曲霉毒素污染的无花果提供了一个有前景的替代指标。©2016化学工业协会。
