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Development of High-Speed Dual-Camera System for Batch Screening of Aflatoxin Contamination of Corn Using Multispectral Fluorescence Imaging

机译:使用多光谱荧光成像进行粉刺筛查粉质筛选的高速双摄像机系统的开发

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摘要

Aflatoxins are fungal toxins produced by Aspergillus flavus. Food and feed crops contaminated with carcinogenic aflatoxins result in economic losses as well as potentially serious health issues. Grain elevators need to unload, on average, one 2.27 metric ton (MT) truckload every 2 min. Current sampling-based analytical chemistry methods for afla-toxin detection cannot meet these large throughput screening requirements. Therefore, a high-speed, batch screening system with reliable accuracy is needed.To develop a high-speed multispectral screening system, two high-performance cameras in conjunction with dual UV excitation sources and novel image processing software were used to collect fluorescence images of corn samples. Each camera simultaneously captures a single-bandfluorescence image (436 nm or 532 nm) from corn kernel samples, and the detection software processes the images to automatically detect contaminated kernels using a normalized difference fluorescence index (NDFI). The system was tested with various commercial samples collected from different locations in the U.S. and baseline samples that were prepared by artificial field inoculation. Each sample was imaged and screened four times, and the screened samples were chemically analyzed for aflatoxin content. All samples were shuffled between imaging repetitions to increase the likelihood of screening both the germ and endosperm sides of every kernel. Processing time for each screening was less than 1 s. Sensitivity and specificity weremeasured over given thresholds for NDFI, and the results were promising. High sensitivity (0.987) and specificity (0.96) were achieved for the baseline samples, and high sensitivity (0.75 to I) and somewhat lower specificity were obtainedfor the commercial samples.
机译:黄曲霉毒素是由曲霉香叶产生的真菌毒素。患有致癌性黄曲霉毒素的食物和饲料作物导致经济损失以及潜在的健康问题。谷物电梯平均需要卸下每2分钟2.27公吨(MT)卡车。基于目前的基于抽样的AFLA-毒素检测的分析化学方法不能满足这些大的吞吐量筛选要求。因此,需要一种具有可靠精度的高速,批量筛选系统。要开发高速多光谱屏蔽系统,两种高性能相机与双紫外线激励源和新颖的图像处理软件一起用于收集荧光图像玉米样品。每个摄像机同时捕获从玉米内核样本的单带荧光图像(436nm或532nm),并且检测软件处理图像使用归一化差异荧光指数(NDFI)自动检测污染的核。用从美国和基线样品中收集的各种商业样品进行测试,由人工田地接种制备的基线样品。将每个样品进行成像并筛选四次,并将筛选的样品化学分析用于黄曲霉毒素含量。所有样品在成像重复之间洗机,以增加筛选每个内核的胚芽和胚乳侧面的可能性。每个筛选的处理时间小于1 s。对NDFI的给定阈值进行敏感性和特异性,结果很有前景。为基线样品实现高灵敏度(0.987)和特异性(0.96),并为商业样品获得高灵敏度(0.75至I)和略微较低的特异性。

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