Abstract
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.
Funder
National Natural Science Foundation of China
Jiangxi Provincial Department of Science and Technology
Zhejiang Province Public Technology Research Program
the National key R & D plan project
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Genetics,Biotechnology
Reference59 articles.
1. Sang S, Lambert JD, Ho CT, Yang CS. The chemistry and biotransformation of tea constituents. Pharmacol Res. 2011;64:87–99.
2. Ošt’ Ádalová M, Tremlová B, Straka I, Pokorná J, Čáslavková P. Evaluation of significant pigments in green teas of different origin. Potravinarstvo Sci J Food Ind. 2014;8:1–8.
3. Shi JY, Zou XB, Zhao JW, Wang KL, Chen ZW, Huang XW, et al. Nondestructive diagnostics of nitrogen deficiency by cucumber leaf chlorophyll distribution map based on near infrared hyperspectral imaging. Sci Hortic. 2012;138:190–7.
4. Liu YL, Li W, Wu GF, Xu XG. Feasibility of estimating heavy metal contaminations in floodplain soils using laboratory-based hyperspectral data—a case study along le’an river, china. Geo-spatial Information Sci. 2011;14:10–6.
5. Tserevelakis GJ, Tsagkaraki M, Zacharakis G. Hybrid photoacoustic and optical imaging of pigments in vegetative tissues. J Microsc. 2016;263:300–6.
Cited by
44 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献