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Abstract
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| Fluorescence techniques have a great potential for detecting aflatoxin contaminated foods, since this metabolite can excrete Kojic acid, which is fluorescent after ultraviolet illumination. The final purpose of this research was to detect defects on the nuts surface (pistachios and cashews) due to aflatoxin contamination. The results of the application of a fluorescent sorting method (6 Wood lamps, ¿ = 365 nm) based on a vision system are presented. During the analysis 82 samples, half of which from lots known to be contaminated with aflatoxin, were evaluated. Two images for each sample were acquired at six wavelengths, included in the range between 410 and 600 nm. For each sample the main of the gray level of 3 ROI (Region of Interest, corresponding to healthy and infected tissue) was calculated, after extraction the 480 nm colour plane from the 600 nm one, in order to highlight the fluorescent stain. Finally, the optimal optical range to separate contaminated and uncontaminated nuts was selected through a statistical analysis. It was observed that 520 nm is the optimal wavelength to discriminate contaminated and uncontaminated pistachios, while two main wavelengths (440, 600 nm) were identified to use in sequence to discriminate healthy and infected cashews. | |
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International
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No |
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Congress
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V Congreso Nacional y II Congreso Ibérico AGROINGENIERÍA 2009 |
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960 |
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Place
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Lugo |
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Reviewers
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No |
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ISBN/ISSN
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978-84-692-5560-5 |
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Start Date
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28/09/2009 |
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End Date
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30/09/2009 |
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From page
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1 |
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To page
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1 |
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A vision system to identify aflatoxin contaminated cashews and pistachios |