Detection of fecal contamination on cantaloupes using hyperspectral fluorescence imagery

To determine whether detection of fecal contamination on cantaloupes is possible using fluorescence imaging, hyperspectral images of cantaloupes artificially contaminated with a range of diluted bovine feces were acquired from 425 to 774 nm in responses to ultraviolet-A (320 to 400 nm) excitation. E...

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Veröffentlicht in:Journal of food science 2005-10, Vol.70 (8), p.e471-e476
Hauptverfasser: Vargas, A.M, Kim, M.S, Tao, Y, Lefcourt, A.M, Chen, Y.R, Luo, Y, Song, Y, Buchanan, R
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container_end_page e476
container_issue 8
container_start_page e471
container_title Journal of food science
container_volume 70
creator Vargas, A.M
Kim, M.S
Tao, Y
Lefcourt, A.M
Chen, Y.R
Luo, Y
Song, Y
Buchanan, R
description To determine whether detection of fecal contamination on cantaloupes is possible using fluorescence imaging, hyperspectral images of cantaloupes artificially contaminated with a range of diluted bovine feces were acquired from 425 to 774 nm in responses to ultraviolet-A (320 to 400 nm) excitation. Evaluation of images at emission peak wavelengths indicated that 675 nm exhibited the greatest contrast between feces contaminated and untreated surface areas. Two-band ratios compared with the single-band images enhanced the contrast between the feces contaminated spots and untreated cantaloupe surfaces. The 595/655-nm, 655/520-nm, and 555/655-nm ratio images provided relatively high detection rates ranging from 79% to 96% across all feces dilutions. However, both single band and ratio methods showed a number of false positives caused by such features as scarred tissues on cantaloupes. Principal component analysis (PCA) was performed using the entire hyperspectral images data; 2nd and 5th principal component (PC) image exhibited differential responses between feces spots and false positives. The combined use of the 2 PC images demonstrated the detection of feces spots (for example, minimum level of 16-microgram/mL dry fecal matter) with minimal false positives. Based on the PC weighing coefficients, the dominant wavelengths were 465, 487, 531, 607, 643, and 688 nm. This research demonstrated the potential of multispectral-based fluorescence imaging for online applications for detection of fecal contamination on cantaloupes.
doi_str_mv 10.1111/j.1365-2621.2005.tb11517.x
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Evaluation of images at emission peak wavelengths indicated that 675 nm exhibited the greatest contrast between feces contaminated and untreated surface areas. Two-band ratios compared with the single-band images enhanced the contrast between the feces contaminated spots and untreated cantaloupe surfaces. The 595/655-nm, 655/520-nm, and 555/655-nm ratio images provided relatively high detection rates ranging from 79% to 96% across all feces dilutions. However, both single band and ratio methods showed a number of false positives caused by such features as scarred tissues on cantaloupes. Principal component analysis (PCA) was performed using the entire hyperspectral images data; 2nd and 5th principal component (PC) image exhibited differential responses between feces spots and false positives. The combined use of the 2 PC images demonstrated the detection of feces spots (for example, minimum level of 16-microgram/mL dry fecal matter) with minimal false positives. 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subjects Biological and medical sciences
cantaloupe
cantaloupes
classification
Contamination
detection
fecal contamination
Feces
Fluorescence
food contamination
Food industries
frequency
Fruit and vegetable industries
Fruits
Fundamental and applied biological sciences. Psychology
General aspects
hyperspectral imagery
hyperspectral imaging
Methods of analysis, processing and quality control, regulation, standards
ratio image
Scientific imaging
ultraviolet radiation
wavelengths
title Detection of fecal contamination on cantaloupes using hyperspectral fluorescence imagery
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