Cargando…
Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy
Fourier transform near-infrared (FT-NIR) spectroscopy is a nondestructive, rapid, real-time analysis of technical detection methods with an important reference value for producers and consumers. In this study, the feasibility of using FT-NIR spectroscopy for the rapid quantitative analysis and quali...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026391/ https://www.ncbi.nlm.nih.gov/pubmed/35454663 http://dx.doi.org/10.3390/foods11081076 |
_version_ | 1784691109978439680 |
---|---|
author | Lu, Zhaohui Lu, Ruitao Chen, Yu Fu, Kai Song, Junxing Xie, Linlin Zhai, Rui Wang, Zhigang Yang, Chengquan Xu, Lingfei |
author_facet | Lu, Zhaohui Lu, Ruitao Chen, Yu Fu, Kai Song, Junxing Xie, Linlin Zhai, Rui Wang, Zhigang Yang, Chengquan Xu, Lingfei |
author_sort | Lu, Zhaohui |
collection | PubMed |
description | Fourier transform near-infrared (FT-NIR) spectroscopy is a nondestructive, rapid, real-time analysis of technical detection methods with an important reference value for producers and consumers. In this study, the feasibility of using FT-NIR spectroscopy for the rapid quantitative analysis and qualitative analysis of ‘Zaosu’ and ‘Dangshansuli’ pears is explored. The quantitative model was established by partial least squares (PLS) regression combined with cross-validation based on the spectral data of 340 pear fresh fruits and synchronized with the reference values determined by conventional assays. Furthermore, NIR spectroscopy combined with cluster analysis was used to identify varieties of ‘Zaosu’ and ‘Dangshansuli’. As a result, the model developed using FT-NIR spectroscopy gave the best results for the prediction models of soluble solid content (SSC) and titratable acidity (TA) of ‘Dangshansuli’ (residual prediction deviation, RPD: 3.272 and 2.239), which were better than those developed for ‘Zaosu’ SSC and TA modeling (RPD: 1.407 and 1.471). The results also showed that the variety identification of ‘Zaosu’ and ‘Dangshansuli’ could be carried out based on FT-NIR spectroscopy, and the discrimination accuracy was 100%. Overall, FT-NIR spectroscopy is a good tool for rapid and nondestructive analysis of the internal quality and variety identification of fresh pears. |
format | Online Article Text |
id | pubmed-9026391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90263912022-04-23 Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy Lu, Zhaohui Lu, Ruitao Chen, Yu Fu, Kai Song, Junxing Xie, Linlin Zhai, Rui Wang, Zhigang Yang, Chengquan Xu, Lingfei Foods Article Fourier transform near-infrared (FT-NIR) spectroscopy is a nondestructive, rapid, real-time analysis of technical detection methods with an important reference value for producers and consumers. In this study, the feasibility of using FT-NIR spectroscopy for the rapid quantitative analysis and qualitative analysis of ‘Zaosu’ and ‘Dangshansuli’ pears is explored. The quantitative model was established by partial least squares (PLS) regression combined with cross-validation based on the spectral data of 340 pear fresh fruits and synchronized with the reference values determined by conventional assays. Furthermore, NIR spectroscopy combined with cluster analysis was used to identify varieties of ‘Zaosu’ and ‘Dangshansuli’. As a result, the model developed using FT-NIR spectroscopy gave the best results for the prediction models of soluble solid content (SSC) and titratable acidity (TA) of ‘Dangshansuli’ (residual prediction deviation, RPD: 3.272 and 2.239), which were better than those developed for ‘Zaosu’ SSC and TA modeling (RPD: 1.407 and 1.471). The results also showed that the variety identification of ‘Zaosu’ and ‘Dangshansuli’ could be carried out based on FT-NIR spectroscopy, and the discrimination accuracy was 100%. Overall, FT-NIR spectroscopy is a good tool for rapid and nondestructive analysis of the internal quality and variety identification of fresh pears. MDPI 2022-04-08 /pmc/articles/PMC9026391/ /pubmed/35454663 http://dx.doi.org/10.3390/foods11081076 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lu, Zhaohui Lu, Ruitao Chen, Yu Fu, Kai Song, Junxing Xie, Linlin Zhai, Rui Wang, Zhigang Yang, Chengquan Xu, Lingfei Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy |
title | Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy |
title_full | Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy |
title_fullStr | Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy |
title_full_unstemmed | Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy |
title_short | Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy |
title_sort | nondestructive testing of pear based on fourier near-infrared spectroscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026391/ https://www.ncbi.nlm.nih.gov/pubmed/35454663 http://dx.doi.org/10.3390/foods11081076 |
work_keys_str_mv | AT luzhaohui nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT luruitao nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT chenyu nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT fukai nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT songjunxing nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT xielinlin nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT zhairui nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT wangzhigang nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT yangchengquan nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy AT xulingfei nondestructivetestingofpearbasedonfouriernearinfraredspectroscopy |