Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy

The possibility of using visible/near infrared (Vis/NIR) transmission spectroscopic technique in the 513–850 nm region coupled with partial least squares-linear discriminant analysis (PLS-LDA) and other chemometric methods to classify potatoes with blackheart was investigated. The discrimination per...

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Main Authors: Zhu Zhou, Songwei Zeng, Xiaoyu Li, Jian Zheng
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2015/786709
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spelling doaj-5ba0c07f0c064212890ec7f7d591600e2020-11-24T21:10:37ZengHindawi LimitedJournal of Spectroscopy2314-49202314-49392015-01-01201510.1155/2015/786709786709Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance SpectroscopyZhu Zhou0Songwei Zeng1Xiaoyu Li2Jian Zheng3School of Information Engineering, Zhejiang A&F University, Lin’an, Zhejiang 311300, ChinaSchool of Information Engineering, Zhejiang A&F University, Lin’an, Zhejiang 311300, ChinaCollege of Engineering, Huazhong Agricultural University, Wuhan, Hubei 430070, ChinaSchool of Agriculture and Food Science, Zhejiang A&F University, Lin’an, Zhejiang 311300, ChinaThe possibility of using visible/near infrared (Vis/NIR) transmission spectroscopic technique in the 513–850 nm region coupled with partial least squares-linear discriminant analysis (PLS-LDA) and other chemometric methods to classify potatoes with blackheart was investigated. The discrimination performance of different morphological correction methods, including weight correction, height correction, and volume correction, was compared. The results showed that height corrected transmittance has the best performance, with both calibration and validation sets having a success rate of 97.11%. Out of 1800 wavelengths, only six wavelengths (711, 817, 741, 839, 678, and 698 nm) were selected as the optimum wavelengths for the discrimination of blackheart tubers based on principal component analysis (PCA). The data analysis showed that the overall classification rate by PLS-LDA method decreased from 97.11% to 96.82% in calibration set and from 97.11% to 96.53% in validation set, which was acceptable. The importance of these conclusions may be helpful to transfer Vis/NIR transmission technology from laboratory to industrial application in nondestructive, real-time, or portable measurement of potatoes quality.http://dx.doi.org/10.1155/2015/786709
collection DOAJ
language English
format Article
sources DOAJ
author Zhu Zhou
Songwei Zeng
Xiaoyu Li
Jian Zheng
spellingShingle Zhu Zhou
Songwei Zeng
Xiaoyu Li
Jian Zheng
Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
Journal of Spectroscopy
author_facet Zhu Zhou
Songwei Zeng
Xiaoyu Li
Jian Zheng
author_sort Zhu Zhou
title Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
title_short Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
title_full Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
title_fullStr Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
title_full_unstemmed Nondestructive Detection of Blackheart in Potato by Visible/Near Infrared Transmittance Spectroscopy
title_sort nondestructive detection of blackheart in potato by visible/near infrared transmittance spectroscopy
publisher Hindawi Limited
series Journal of Spectroscopy
issn 2314-4920
2314-4939
publishDate 2015-01-01
description The possibility of using visible/near infrared (Vis/NIR) transmission spectroscopic technique in the 513–850 nm region coupled with partial least squares-linear discriminant analysis (PLS-LDA) and other chemometric methods to classify potatoes with blackheart was investigated. The discrimination performance of different morphological correction methods, including weight correction, height correction, and volume correction, was compared. The results showed that height corrected transmittance has the best performance, with both calibration and validation sets having a success rate of 97.11%. Out of 1800 wavelengths, only six wavelengths (711, 817, 741, 839, 678, and 698 nm) were selected as the optimum wavelengths for the discrimination of blackheart tubers based on principal component analysis (PCA). The data analysis showed that the overall classification rate by PLS-LDA method decreased from 97.11% to 96.82% in calibration set and from 97.11% to 96.53% in validation set, which was acceptable. The importance of these conclusions may be helpful to transfer Vis/NIR transmission technology from laboratory to industrial application in nondestructive, real-time, or portable measurement of potatoes quality.
url http://dx.doi.org/10.1155/2015/786709
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AT xiaoyuli nondestructivedetectionofblackheartinpotatobyvisiblenearinfraredtransmittancespectroscopy
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