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Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer
BACKGROUND: Photosynthetic pigments participating in the absorption, transformation and transfer of light energy play a very important role in plant growth. While, the spatial distribution of foliar pigments is an important indicator of environmental stress, such as pests, diseases and heavy metal s...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788994/ https://www.ncbi.nlm.nih.gov/pubmed/33407678 http://dx.doi.org/10.1186/s13007-020-00704-3 |
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author | Zeng, Jianjun Ping, Wen Sanaeifar, Alireza Xu, Xiao Luo, Wei Sha, Junjing Huang, Zhenxiong Huang, Yifeng Liu, Xuemei Zhan, Baishao Zhang, Hailiang Li, Xiaoli |
author_facet | Zeng, Jianjun Ping, Wen Sanaeifar, Alireza Xu, Xiao Luo, Wei Sha, Junjing Huang, Zhenxiong Huang, Yifeng Liu, Xuemei Zhan, Baishao Zhang, Hailiang Li, Xiaoli |
author_sort | Zeng, Jianjun |
collection | PubMed |
description | BACKGROUND: Photosynthetic pigments participating in the absorption, transformation and transfer of light energy play a very important role in plant growth. While, the spatial distribution of foliar pigments is an important indicator of environmental stress, such as pests, diseases and heavy metal stress. RESULTS: In this paper, in situ quantitative visualization of chlorophyll and carotenoid was realized by combining the Raman spectroscopy with calibration model transfer, and a laboratory Raman spectral model was successfully extended to a portable field spectral measurement. Firstly, a nondestructive and fast model for determination of chlorophyll and carotenoid in tea leaf was established based on confocal micro-Raman spectrometer in the laboratory. Then the spectral model was extended to a real-time foliar map scanning spectra of a field portable Raman spectrometer through calibration model transfer, and the spectral variation between the confocal micro-Raman spectrometer in the laboratory and the portable Raman spectrometer were effectively corrected by the direct standardization (DS) algorithm. The portable map scanning Raman spectra of the tea leaves after the model transfer were got into the established quantitative determination model to predict the concentration of photosynthetic pigments at each pixel of the tea leaves. The predicted photosynthetic pigments concentration of each pixel was imaged to illustrate the distribution map of foliar pigments. Statistical analysis showed that the predicted pigment contents were highly correlated with the real contents. CONCLUSIONS: It can be concluded that the Raman spectroscopy was applicable for in situ, non-destructive and rapid quantitative detecting and imaging of photosynthetic pigment concentration in tea leaves, and the spectral detection model established based on the laboratory Raman spectrometer can be applied to a portable field spectrometer for quantitatively imaging of the foliar pigments. [Image: see text] |
format | Online Article Text |
id | pubmed-7788994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77889942021-01-07 Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer Zeng, Jianjun Ping, Wen Sanaeifar, Alireza Xu, Xiao Luo, Wei Sha, Junjing Huang, Zhenxiong Huang, Yifeng Liu, Xuemei Zhan, Baishao Zhang, Hailiang Li, Xiaoli Plant Methods Research BACKGROUND: Photosynthetic pigments participating in the absorption, transformation and transfer of light energy play a very important role in plant growth. While, the spatial distribution of foliar pigments is an important indicator of environmental stress, such as pests, diseases and heavy metal stress. RESULTS: In this paper, in situ quantitative visualization of chlorophyll and carotenoid was realized by combining the Raman spectroscopy with calibration model transfer, and a laboratory Raman spectral model was successfully extended to a portable field spectral measurement. Firstly, a nondestructive and fast model for determination of chlorophyll and carotenoid in tea leaf was established based on confocal micro-Raman spectrometer in the laboratory. Then the spectral model was extended to a real-time foliar map scanning spectra of a field portable Raman spectrometer through calibration model transfer, and the spectral variation between the confocal micro-Raman spectrometer in the laboratory and the portable Raman spectrometer were effectively corrected by the direct standardization (DS) algorithm. The portable map scanning Raman spectra of the tea leaves after the model transfer were got into the established quantitative determination model to predict the concentration of photosynthetic pigments at each pixel of the tea leaves. The predicted photosynthetic pigments concentration of each pixel was imaged to illustrate the distribution map of foliar pigments. Statistical analysis showed that the predicted pigment contents were highly correlated with the real contents. CONCLUSIONS: It can be concluded that the Raman spectroscopy was applicable for in situ, non-destructive and rapid quantitative detecting and imaging of photosynthetic pigment concentration in tea leaves, and the spectral detection model established based on the laboratory Raman spectrometer can be applied to a portable field spectrometer for quantitatively imaging of the foliar pigments. [Image: see text] BioMed Central 2021-01-06 /pmc/articles/PMC7788994/ /pubmed/33407678 http://dx.doi.org/10.1186/s13007-020-00704-3 Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zeng, Jianjun Ping, Wen Sanaeifar, Alireza Xu, Xiao Luo, Wei Sha, Junjing Huang, Zhenxiong Huang, Yifeng Liu, Xuemei Zhan, Baishao Zhang, Hailiang Li, Xiaoli Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer |
title | Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer |
title_full | Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer |
title_fullStr | Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer |
title_full_unstemmed | Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer |
title_short | Quantitative visualization of photosynthetic pigments in tea leaves based on Raman spectroscopy and calibration model transfer |
title_sort | quantitative visualization of photosynthetic pigments in tea leaves based on raman spectroscopy and calibration model transfer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788994/ https://www.ncbi.nlm.nih.gov/pubmed/33407678 http://dx.doi.org/10.1186/s13007-020-00704-3 |
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