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Rapid determination of pit mud moisture content using hyperspectral imaging
Lack of moisture can lead to the aging of pit mud, excessive moisture will make it difficult to maintain its shape or even collapse. Therefore, a rapid and nondestructive detection technology for moisture in pit mud using hyperspectral imaging was firstly investigated. Modeling efficiency of various...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977493/ https://www.ncbi.nlm.nih.gov/pubmed/31993144 http://dx.doi.org/10.1002/fsn3.1289 |
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author | Zhu, Min Chen, Ping Hu, Xin‐Jun Mao, Xiang Tian, Jian‐Ping Luo, Hui‐Bo Huang, Dan |
author_facet | Zhu, Min Chen, Ping Hu, Xin‐Jun Mao, Xiang Tian, Jian‐Ping Luo, Hui‐Bo Huang, Dan |
author_sort | Zhu, Min |
collection | PubMed |
description | Lack of moisture can lead to the aging of pit mud, excessive moisture will make it difficult to maintain its shape or even collapse. Therefore, a rapid and nondestructive detection technology for moisture in pit mud using hyperspectral imaging was firstly investigated. Modeling efficiency of various processing was compared in visible (400–1,000 nm) and near‐infrared (900–1,700 nm) regions, and the optimal model was SNV‐SPA‐SVM in near‐infrared spectroscopy; the [Formula: see text] and RMSEP of model were .9953 and 0.0029, respectively. Furthermore, the distribution map showed that the moisture in the new cellar was generally lower than that of old, and the moisture distribution of the old pit mud was more even. Moreover, the moisture content of different layers in the same cellar increased from top to bottom. This work provides strong technical support for liquor brewing enterprises to effectively implement online monitoring of pit mud changes and open a new era for the application of hyperspectral imaging technology in the field of liquor solid‐state fermentation. |
format | Online Article Text |
id | pubmed-6977493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69774932020-01-28 Rapid determination of pit mud moisture content using hyperspectral imaging Zhu, Min Chen, Ping Hu, Xin‐Jun Mao, Xiang Tian, Jian‐Ping Luo, Hui‐Bo Huang, Dan Food Sci Nutr Original Research Lack of moisture can lead to the aging of pit mud, excessive moisture will make it difficult to maintain its shape or even collapse. Therefore, a rapid and nondestructive detection technology for moisture in pit mud using hyperspectral imaging was firstly investigated. Modeling efficiency of various processing was compared in visible (400–1,000 nm) and near‐infrared (900–1,700 nm) regions, and the optimal model was SNV‐SPA‐SVM in near‐infrared spectroscopy; the [Formula: see text] and RMSEP of model were .9953 and 0.0029, respectively. Furthermore, the distribution map showed that the moisture in the new cellar was generally lower than that of old, and the moisture distribution of the old pit mud was more even. Moreover, the moisture content of different layers in the same cellar increased from top to bottom. This work provides strong technical support for liquor brewing enterprises to effectively implement online monitoring of pit mud changes and open a new era for the application of hyperspectral imaging technology in the field of liquor solid‐state fermentation. John Wiley and Sons Inc. 2019-11-27 /pmc/articles/PMC6977493/ /pubmed/31993144 http://dx.doi.org/10.1002/fsn3.1289 Text en © 2019 The Authors. Food Science & Nutrition published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Zhu, Min Chen, Ping Hu, Xin‐Jun Mao, Xiang Tian, Jian‐Ping Luo, Hui‐Bo Huang, Dan Rapid determination of pit mud moisture content using hyperspectral imaging |
title | Rapid determination of pit mud moisture content using hyperspectral imaging |
title_full | Rapid determination of pit mud moisture content using hyperspectral imaging |
title_fullStr | Rapid determination of pit mud moisture content using hyperspectral imaging |
title_full_unstemmed | Rapid determination of pit mud moisture content using hyperspectral imaging |
title_short | Rapid determination of pit mud moisture content using hyperspectral imaging |
title_sort | rapid determination of pit mud moisture content using hyperspectral imaging |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977493/ https://www.ncbi.nlm.nih.gov/pubmed/31993144 http://dx.doi.org/10.1002/fsn3.1289 |
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