Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zeng, Jianjun, Ping, Wen, Sanaeifar, Alireza, Xu, Xiao, Luo, Wei, Sha, Junjing, Huang, Zhenxiong, Huang, Yifeng, Liu, Xuemei, Zhan, Baishao, Zhang, Hailiang, Li, Xiaoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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
_version_ 1783633144787763200
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
work_keys_str_mv AT zengjianjun quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT pingwen quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT sanaeifaralireza quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT xuxiao quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT luowei quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT shajunjing quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT huangzhenxiong quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT huangyifeng quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT liuxuemei quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT zhanbaishao quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT zhanghailiang quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer
AT lixiaoli quantitativevisualizationofphotosyntheticpigmentsintealeavesbasedonramanspectroscopyandcalibrationmodeltransfer