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Quantitative visualization of pectin distribution maps of peach fruits

Pectin content is an important quality index of fruits, as pectin content undergoes significant changes during the peach ripening process. The commonly used carbazole colorimetry method measures only the total content value of each kind of pectin for each pulp sample and cannot provide distribution...

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Autores principales: Zhu, Nan, Huang, Weinan, Wu, Di, Chen, Kunsong, He, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571203/
https://www.ncbi.nlm.nih.gov/pubmed/28839289
http://dx.doi.org/10.1038/s41598-017-09817-7
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author Zhu, Nan
Huang, Weinan
Wu, Di
Chen, Kunsong
He, Yong
author_facet Zhu, Nan
Huang, Weinan
Wu, Di
Chen, Kunsong
He, Yong
author_sort Zhu, Nan
collection PubMed
description Pectin content is an important quality index of fruits, as pectin content undergoes significant changes during the peach ripening process. The commonly used carbazole colorimetry method measures only the total content value of each kind of pectin for each pulp sample and cannot provide distribution maps of the pectin contents for the whole fruit pulp. This work used the hyperspectral imaging technique to quantitatively visualize the distribution maps of pectin contents inside peach pulp at the pixel level. The protopectin contents were well predicted, with the best residual predictive deviation of 2.264, whereas the predictions of the water-soluble pectin and the total pectin contents were not satisfied. On the basis of the best predictive model, the distribution maps of the protopectin contents were quantitatively visualized. A histogram of an example protopectin distribution revealed the existence of a wide range of protopectin contents in peach pulp. Our results show that hyperspectral imaging holds promise as a powerful alternative to the carbazole colorimetry method for measuring the spatial variations in the protopectin distribution inside peach pulp. The distribution maps could be used as a maturity indicator to understand and evaluate the ripening process of peach fruit in depth.
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spelling pubmed-55712032017-09-01 Quantitative visualization of pectin distribution maps of peach fruits Zhu, Nan Huang, Weinan Wu, Di Chen, Kunsong He, Yong Sci Rep Article Pectin content is an important quality index of fruits, as pectin content undergoes significant changes during the peach ripening process. The commonly used carbazole colorimetry method measures only the total content value of each kind of pectin for each pulp sample and cannot provide distribution maps of the pectin contents for the whole fruit pulp. This work used the hyperspectral imaging technique to quantitatively visualize the distribution maps of pectin contents inside peach pulp at the pixel level. The protopectin contents were well predicted, with the best residual predictive deviation of 2.264, whereas the predictions of the water-soluble pectin and the total pectin contents were not satisfied. On the basis of the best predictive model, the distribution maps of the protopectin contents were quantitatively visualized. A histogram of an example protopectin distribution revealed the existence of a wide range of protopectin contents in peach pulp. Our results show that hyperspectral imaging holds promise as a powerful alternative to the carbazole colorimetry method for measuring the spatial variations in the protopectin distribution inside peach pulp. The distribution maps could be used as a maturity indicator to understand and evaluate the ripening process of peach fruit in depth. Nature Publishing Group UK 2017-08-24 /pmc/articles/PMC5571203/ /pubmed/28839289 http://dx.doi.org/10.1038/s41598-017-09817-7 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhu, Nan
Huang, Weinan
Wu, Di
Chen, Kunsong
He, Yong
Quantitative visualization of pectin distribution maps of peach fruits
title Quantitative visualization of pectin distribution maps of peach fruits
title_full Quantitative visualization of pectin distribution maps of peach fruits
title_fullStr Quantitative visualization of pectin distribution maps of peach fruits
title_full_unstemmed Quantitative visualization of pectin distribution maps of peach fruits
title_short Quantitative visualization of pectin distribution maps of peach fruits
title_sort quantitative visualization of pectin distribution maps of peach fruits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571203/
https://www.ncbi.nlm.nih.gov/pubmed/28839289
http://dx.doi.org/10.1038/s41598-017-09817-7
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