Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes
The overall objective of this research is to check the abilities of two non-destructive techniques, the digital imaging (DI) and laser light backscattering imaging (LLBI), on detection of α-solanine toxicant in potatoes. Potato samples were classified in healthy and toxic categories based on the amo...
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Ferdowsi University of Mashhad
2020
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oai:doaj.org-article:52277c4d065f4d89a14facceb8805e9c2021-11-14T06:35:16ZComparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes2228-68292423-394310.22067/jam.v10i1.79800https://doaj.org/article/52277c4d065f4d89a14facceb8805e9c2020-03-01T00:00:00Zhttps://jame.um.ac.ir/article_34036_9fd373e4abe50c46b520a745cd6e93ea.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943The overall objective of this research is to check the abilities of two non-destructive techniques, the digital imaging (DI) and laser light backscattering imaging (LLBI), on detection of α-solanine toxicant in potatoes. Potato samples were classified in healthy and toxic categories based on the amount of α-solanine. For quantifying α-solanine in potato tubers, high-performance liquid chromatography (HPLC) has been used. The results of classification showed that single layer perceptron neural networks can classify potatoes with the accuracies of 94.28% and 98.66% by DI and LLBI systems (Donald cultivar), respectively. It can be said that LLBI systems might take precedent over DI systems due to their high accuracy, rapidity, and industrial capability.S BabazadehP Ahmadi MoghaddamA SabatyanF SharifianFerdowsi University of Mashhadarticlebackscattering imagingdigital imagingglycoalkaloidsliquid chromatographyquality inspectionAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 10, Iss 1, Pp 49-58 (2020) |
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backscattering imaging digital imaging glycoalkaloids liquid chromatography quality inspection Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 |
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backscattering imaging digital imaging glycoalkaloids liquid chromatography quality inspection Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 S Babazadeh P Ahmadi Moghaddam A Sabatyan F Sharifian Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes |
description |
The overall objective of this research is to check the abilities of two non-destructive techniques, the digital imaging (DI) and laser light backscattering imaging (LLBI), on detection of α-solanine toxicant in potatoes. Potato samples were classified in healthy and toxic categories based on the amount of α-solanine. For quantifying α-solanine in potato tubers, high-performance liquid chromatography (HPLC) has been used. The results of classification showed that single layer perceptron neural networks can classify potatoes with the accuracies of 94.28% and 98.66% by DI and LLBI systems (Donald cultivar), respectively. It can be said that LLBI systems might take precedent over DI systems due to their high accuracy, rapidity, and industrial capability. |
format |
article |
author |
S Babazadeh P Ahmadi Moghaddam A Sabatyan F Sharifian |
author_facet |
S Babazadeh P Ahmadi Moghaddam A Sabatyan F Sharifian |
author_sort |
S Babazadeh |
title |
Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes |
title_short |
Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes |
title_full |
Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes |
title_fullStr |
Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes |
title_full_unstemmed |
Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes |
title_sort |
comparison of the laser backscattering and digital imaging techniques on detection of α-solanine in potatoes |
publisher |
Ferdowsi University of Mashhad |
publishDate |
2020 |
url |
https://doaj.org/article/52277c4d065f4d89a14facceb8805e9c |
work_keys_str_mv |
AT sbabazadeh comparisonofthelaserbackscatteringanddigitalimagingtechniquesondetectionofasolanineinpotatoes AT pahmadimoghaddam comparisonofthelaserbackscatteringanddigitalimagingtechniquesondetectionofasolanineinpotatoes AT asabatyan comparisonofthelaserbackscatteringanddigitalimagingtechniquesondetectionofasolanineinpotatoes AT fsharifian comparisonofthelaserbackscatteringanddigitalimagingtechniquesondetectionofasolanineinpotatoes |
_version_ |
1718429833473556480 |