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Development of narrow-band fluorescence index for the detection of aflatoxin contaminated corn

机译:用于检测黄曲霉毒素污染玉米的窄带荧光指数的开发

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Aflatoxin is produced by the fungus Aspergillus flavus when the fungus invades developing corn kernels. Because of its potent toxicity, the levels of aflatoxin are regulated by the Food and Drug Administration (FDA) in the US, allowing 20 ppb (parts per billion) limits in food, and feed intended for interstate commerce. Currently, aflatoxin detection and quantification methods are based on analytical tests. These tests require the destruction of samples, can be costly and time consuming, and often rely on less than desirable sampling techniques. Thus, the ability to detect aflatoxin in a rapid, non-invasive way is crucial to the corn industry in particular. This paper described how narrow-band fluorescence indices were developed for aflatoxin contamination detection based on single corn kernel samples. The indices were based on two bands extracted from full wavelength fluorescence hyperspectral imagery. The two band results were later applied to two large sample experiments with 25 g and 1 kg of corn per sample. The detection accuracies were 85% and 95% when 100 ppb threshold was used. Since the data acquisition period is significantly lower for several image bands than for full wavelength hyperspectral data, this study would be helpful in the development of real-time detection instrumentation for the corn industry.
机译:当真菌入侵正在发育的玉米粒时,黄曲霉毒素由黄曲霉菌产生。由于其强大的毒性,黄曲霉毒素的水平受到美国食品药品监督管理局(FDA)的监管,允许食品和用于州际贸易的饲料的限量限制在20 ppb(十亿分之一)。目前,黄曲霉毒素的检测和定量方法是基于分析测试的。这些测试需要销毁样本,可能既昂贵又费时,并且通常依赖于少于所需的采样技术。因此,以快速,无创的​​方式检测黄曲霉毒素的能力对于玉米行业尤其至关重要。本文描述了如何基于单个玉米仁样品开发用于黄曲霉毒素污染检测的窄带荧光指数。指数基于从全波长荧光高光谱图像中提取的两个波段。随后将这两个谱带的结果应用于两个大样品实验,每个样品分别含25 g和1 kg玉米。当使用100 ppb阈值时,检测准确度分别为85%和95%。由于几个图像波段的数据采集周期显着低于全波长高光谱数据,因此本研究将有助于开发玉米行业的实时检测仪器。

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