中文摘要：黄曲霉毒素是农产品中黄曲霉产生的毒性代谢物。无花果等农产品易受黄曲霉毒素污染。用波长为365nm的紫外光照射受污染的无花果，呈现出明亮的黄绿色荧光(BGYF)。传统做法中，由工人手工挑捡BGYF呈阳性的无花果，但手工挑捡有赖于工人的专业技术水平，而且紫外光照射会给工人带来皮肤健康问题。本研究提出用一种非侵入性方法，即傅里叶变换近红外光谱方法，检测无花果的黄曲霉毒素和表面霉菌污染情况，能100%准确地区分出无花果是否受到黄曲霉毒素和表面霉菌的污染。此外，还发现黄曲霉毒素与表面霉菌间具有很强的相关性。因此，结合模式分类方法，近红外光谱可用于非侵入性检出受黄曲霉毒素污染的无花果，而表面霉菌与黄曲霉毒素污染的正相关性可以为检出受污染的无花果带来有价值的替代指标。
外文摘要：BACKGROUND 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. RESULTS 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. CONCLUSION 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.
外文关键词：near-infrared spectroscopyaflatoxin；surface mould；non-invasive inspection
作者：Durmus, E；Gunes, A；Kalkan, H
作者单位：Suleyman Demirel Univ
期刊名称：JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
期刊影响因子：2.076
出版年份：2017
出版刊次：1
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