欧亚国际

科学家刚刚利用Videometer多光谱成像系统发表了题为“Fluorescence spectroscopy and multispectral imaging for fingerprinting of aflatoxin-B1 contaminated (Zea mays L.) seeds: a preliminary study”的文章。

黄曲霉毒素B1污染（Zea mays L.）种子荧光光谱和多光谱成像指纹图谱的初步研究

摘要

谷物种子的安全性可能会因黄曲霉毒素等有毒污染物的存在而受到损害。除了致癌之外，它们对人类和动物的健康也有其他不利影响。在这项初步研究中，我们使用了两种非侵入性光学技术，即光纤荧光光谱和多光谱成像（MSI），从未受污染的种子中鉴别出自然受到黄曲霉毒素B1（AFB1）污染的玉米种子。与对照样品相比，受AFB1污染的种子的最大发射位置出现红移。利用线性判别分析对荧光数据进行分析，对未污染和AFB1污染的种子进行判别，分类准确率达到100%。MSI分析与标准化典型判别分析相结合，提供了所分析种子的光谱和空间模式。与未受污染的种子相比，受AFB1污染的种子在可见光区域的反射率增加了7.9至9.6倍，在近红外光谱区域的反射率增加了10.4至12.2倍。因此，MSI方法成功地从未受污染的种子中进行了高精度分类。研究结果可能会对检测种子中AFs存在的光谱非侵入性方法的发展产生影响，为食品取证和食品安全领域的种子掺假评估提供有价值的信息。

(A) sRGB images (a, b) and corresponding nCDA images (c, d) of Zea mays L. seedslot for control (uncontaminated) and AFB1-contaminated seeds. (B) The average reflectance spectra from the multispectral images (A) of control and aflatoxin contaminated seeds.

Fluorescence spectroscopy and multispectral imaging for fingerprinting of aflatoxin-B1 contaminated (Zea mays L.) seeds: a preliminary study

Abstract

Cereal seeds safety may be compromised by the presence of toxic contaminants, such as aflatoxins. Besides being carcinogenic, they have other adverse health effects on humans and animals. In this preliminary study, we used two non-invasive optical techniques, optical fiber fluorescence spectroscopy and multispectral imaging (MSI), for discrimination of maize seeds naturally contaminated with aflatoxin B1 (AFB1) from the uncontaminated seeds. The AFB1-contaminated seeds exhibited a red shift of the emission maximum position compared to the control samples. Using linear discrimination analysis to analyse fluorescence data, classification accuracy of 100% was obtained to discriminate uncontaminated and AFB1-contaminated seeds. The MSI analysis combined with a normalized canonical discriminant analysis, provided spectral and spatial patterns of the analysed seeds. The AFB1-contaminated seeds showed a 7.9 to 9.6-fold increase in the seed reflectance in the VIS region, and 10.4 and 12.2-fold increase in the NIR spectral region, compared with the uncontaminated seeds. Thus the MSI method classified successfully contaminated from uncontaminated seeds with high accuracy. The results may have an impact on development of spectroscopic non-invasive methods for detection of AFs presence in seeds, providing valuable information for the assessment of seed adulteration in the field of food forensics and food safety.