中文摘要：黄曲霉毒素是由一些生长在各种食物上的真菌（黄曲霉及寄生曲霉）产生的有毒代谢物。影响食品中真菌生长和黄曲霉毒素形成的最重要因素是空气湿度及储藏温度。黄曲霉毒素通过食物传递给人类后主要引起肝癌，增加肝炎（B）和（C）病毒的作用，并破坏免疫系统。传统检测用紫外光照射无花果干，如果呈现明亮的绿黄荧光(BGYF)，表明可能存在黄曲霉。随后对可能的黄曲霉毒素污染进行化学分析。自然，检测黄曲霉毒素的化学方法相当准确，但价格昂贵，破坏性强。目前，高光谱和多光谱成像对于这些污染物的快速无损检测变得越来越重要。本研究提出一种小型机器视觉系统，用来检出黄曲霉毒素污染的无花果干。结果发现，以像素为单位的无花果干黄曲霉毒素污染的总表面积与在实验条件下分析的实际黄曲霉毒素量之间没有线性相关。
外文摘要：Aflatoxins are toxic metabolites produced by some fungus (Aspergillus flavus and Aspergillus parasiticus) that can grow on a wide variety of foodstuffs. The most important factors that play a role in the growth of fungi in foodstuffs and in the formation of aflatoxin are relative to the humidity of the air and the storage temperature. It is also pointed out that aflatoxin, which is passed to humans through food, causes mostly liver cancer, increases the effect of hepatitis (B) and (C) viruses, and breaks the immune system. Traditionally, dried figs have been examined for the evidence of bright greenish-yellow fluorescence (BGYF), which can indicate the possible presence of Aspergillus flavus, when illuminated with ultra-violet (UV) light. The BGYF test is typically the first step that leads to a chemical analysis for possible aflatoxin contamination. Naturally, the chemical methods that detect aflatoxins are quite accurate but expensive and destructive. Nowadays, hyperspectral and multispectral imaging are becoming increasingly important for rapid and nondestructive testing for the presence of such contaminants. In this study, a compact machine vision system is being proposed for the detection of aflatoxin contaminated dried figs. An image-processing method is defined for a pixel-based prediction of an aflatoxin contaminated surface area on selected dried figs that is scanned by a Charge Coupled Device (CCD) color camera and under UV lighting in this system. Additionally, naturally contaminated fig test samples are sent to an authorized laboratory in order to determine the amount of aflatoxin B-1 and the total aflatoxins for comparing the actual aflatoxin amounts of dried figs and the pixel values of contaminated samples. The results of this study have shown that there is not a linear correlation between total surface area of aflatoxin contamination on dried figs in pixels and the actual aflatoxin amounts analyzed under laboratory conditions.
外文关键词：Aflatoxin；Digital image processing；Dried fig；UV；Laboratory test results
作者：Ozluoymak, OB；Guzel, E
作者单位：Cukurova Univ
期刊名称：FRESENIUS ENVIRONMENTAL BULLETIN
期刊影响因子：0.372
出版年份：2018
出版刊次：2
点击下载：比较光谱图像分析与实验室结果，预测无花果干(FICUS CARICA)样品的黄曲霉毒素污染情况