Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part II. Application of hyperspectral fluorescence imaging
Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part II. Application of hyperspectral fluorescence imaging
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基于高光谱图像的苹果粪便污染多光谱检测：第二部分。
DOI：
10.13031/2013.11416
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发表时间：
2002
影响因子：
1.5
通讯作者：
K. Chao
中科院分区：
文献类型：
--
作者：
M. Kim;A. Lefcourt;Y. R. Chen;I. Kim;D. Chan;K. Chao
未经高温消毒的苹果汁或苹果酒中的致病性大肠杆菌污染被认为源自动物粪便，而苹果的粪便污染已被 FDA 视为一个重要的健康问题。在一篇配套文章中，反射成像技术不足以检测涂在苹果上的粪便薄涂片。本研究的目的是评估荧光成像技术在检测苹果表面粪便污染方面的应用。基于光谱仪、相机和紫外光源的高光谱成像系统用于获取红冠苹果、富士苹果、金冠苹果和嘎拉苹果的高光谱图像。将新鲜的奶牛粪便以厚片和薄涂抹的形式涂在每个苹果上。结果表明，多光谱荧光技术可有效检测苹果表面的粪便污染。主成分分析和发射最大值检查都确定了相同的四个多光谱波段（450、530、685 和 735 nm）作为区分受污染的苹果表面的最佳波段。此外，简单的双波段比（例如 685 至 450 nm）减少了正常苹果表面的变化，同时强调了污染区域和未污染区域之间的差异。由于样本量有限，最佳检测方案的描述超出了当前研究的范围。然而，结果表明，在商业环境中使用多光谱荧光技术检测苹果的粪便污染可能是可行的。
Pathogenic E. coli contamination in unpasteurized apple juice or cider is thought to originate from animal feces, and fecal contamination of apples has been recognized by the FDA as an important health issue. In a companion article, reflectance imaging techniques were shown inadequate for the detection of thin smears of feces applied to apples. The objective of this study was to evaluate the use of fluorescence imaging techniques to detect fecal contamination on apple surfaces. A hyperspectral imaging system based on a spectrograph, camera, and UV light source was used to obtain hyperspectral images of Red Delicious, Fuji, Golden Delicious, and Gala apples. Fresh dairy feces were applied to each apple as both a thick patch and as a thin smear. Results indicate that multispectral fluorescence techniques can be used to effectively detect fecal contamination on apple surfaces. Both principal component analysis and examination of emission maxima identified the same four multispectral bands (450, 530, 685, and 735 nm) as being the optimal bands to allow discrimination of contaminated apple surfaces. Furthermore, the simple two-band ratio (e.g., 685 to 450 nm) reduced the variation in normal apple surfaces while accentuating differences between contaminated and uncontaminated areas. Because of the limited sample size, delineation of an optimal detection scheme is beyond the scope of the current study. However, the results suggest that use of multispectral fluorescence techniques for detection of fecal contamination on apples in a commercial setting may be feasible.