Quantitative Visualization of Photosynthetic Pigments in Tea Leaves Based on Raman Spectroscopy and Calibration Model Transfer

Overview

Journal Plant Methods

Publisher Biomed Central

Specialty Biology

Date 2021 Jan 7

PMID 33407678

Citations 14

Authors

Jianjun Zeng

Wen Ping

Alireza Sanaeifar

Xiao Xu

Wei Luo

Junjing Sha

Zhenxiong Huang

Yifeng Huang

Xuemei Liu

BaiShao Zhan

Hailiang Zhang

Xiaoli Li

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

In-vivo Raman microspectroscopy reveals differential nitrate concentration in different developmental zones in Arabidopsis roots.

Fernandez Gonzalez A, Fang Z, Sen D, Henrich B, Nagashima Y, Sokolov A Plant Methods. 2024; 20(1):185.

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Contemporary applications of vibrational spectroscopy in plant stresses and phenotyping.

Juarez I, Kurouski D Front Plant Sci. 2024; 15:1411859.

PMID: 39345978 PMC: 11427297. DOI: 10.3389/fpls.2024.1411859.

Research Review on Quality Detection of Fresh Tea Leaves Based on Spectral Technology.

Tang T, Luo Q, Yang L, Gao C, Ling C, Wu W Foods. 2024; 13(1).

PMID: 38201054 PMC: 10778318. DOI: 10.3390/foods13010025.

Chemometric Analysis for the Prediction of Biochemical Compounds in Leaves Using UV-VIS-NIR-SWIR Hyperspectroscopy.

Falcioni R, Goncalves J, de Oliveira K, de Oliveira C, Reis A, Crusiol L Plants (Basel). 2023; 12(19).

PMID: 37836163 PMC: 10574701. DOI: 10.3390/plants12193424.

Raman spectroscopy in crop quality assessment: focusing on sensing secondary metabolites: a review.

Park M, Somborn A, Schlehuber D, Keuter V, Deerberg G Hortic Res. 2023; 10(5):uhad074.

PMID: 37249949 PMC: 10208899. DOI: 10.1093/hr/uhad074.

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