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Portable multispectral fluorescence imaging system for food safely applications

机译:用于食品安全应用的便携式多光谱荧光成像系统

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摘要

Fluorescence can be a sensitive method for detecting food contaminants. Of particular interest is detection of fecal contamination as feces is the source of many pathogenic organisms. Feces generally contain chlorophyll a and related compounds due to ingestion, of plant materials, and these compounds can readily be detected using fluorescence techniques. Described is a fluorescence-imaging system consisting primarily of a UV light source, an intensified camera with a six-position filter wheel, and software for controlling the system and automatically analyzing the resulting images. To validate the system, orchard apples artificially contaminated with dairy feces were used in a "hands-on" public demonstration. The contamination sites were easily identified using automated edge detection and threshold detection algorithms. In addition, by applying feces to apples and then washing sets of apples at hourly intervals, it was determined that five h was the minimum contact time that allowed identification of the contamination site after the apples were washed. There are many potential uses for this system, including studying the efficacy of apple washing systems.
机译:荧光可以是检测食品污染物的灵敏方法。粪便污染的检测尤其令人关注,因为粪便是许多病原生物的来源。由于摄入植物材料,粪便中通常含有叶绿素a和相关化合物,这些化合物可以很容易地用荧光技术检测出来。描述了一种荧光成像系统,主要由紫外线光源,带有六位置滤光轮的增强型相机以及用于控制系统并自动分析所得图像的软件组成。为了验证该系统,在“动手”公共演示中使用了被奶牛粪便人工污染的果园苹果。使用自动边缘检测和阈值检测算法可以轻松识别污染部位。另外,通过将粪便施加到苹果上,然后每隔一小时清洗一次苹果组,可以确定五个小时是允许在清洗苹果后识别污染部位的最短接触时间。该系统有许多潜在用途,包括研究苹果洗涤系统的功效。

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