Infrared microspectroscopic imaging of plant tissues: Spectral visualization of Triticum aestivum kernel and Arabidopsis leaf microstructure

Warren, Frederick J., Perston, Benjamin B., Galindez-Najera, Silvia P., Edwards, Cathrina H., Powell, Prudence O., Mandalari, Giusy, Campbell, Grant M., Butterworth, Peter J. and Ellis, Peter R. (2015) Infrared microspectroscopic imaging of plant tissues: Spectral visualization of Triticum aestivum kernel and Arabidopsis leaf microstructure. Plant Journal, 84 3: 634-646. doi:10.1111/tpj.13031


Author Warren, Frederick J.
Perston, Benjamin B.
Galindez-Najera, Silvia P.
Edwards, Cathrina H.
Powell, Prudence O.
Mandalari, Giusy
Campbell, Grant M.
Butterworth, Peter J.
Ellis, Peter R.
Title Infrared microspectroscopic imaging of plant tissues: Spectral visualization of Triticum aestivum kernel and Arabidopsis leaf microstructure
Journal name Plant Journal   Check publisher's open access policy
ISSN 1365-313X
0960-7412
Publication date 2015-10-23
Year available 2015
Sub-type Article (original research)
DOI 10.1111/tpj.13031
Open Access Status DOI
Volume 84
Issue 3
Start page 634
End page 646
Total pages 13
Place of publication Chichester, West Sussex, United Kingdom
Publisher Wiley-Blackwell Publishing
Collection year 2016
Language eng
Formatted abstract
Infrared microspectroscopy is a tool with potential for studies of the microstructure, chemical composition and functionality of plants at a subcellular level. Here we present the use of high-resolution bench top-based infrared microspectroscopy to investigate the microstructure of Triticum aestivum L. (wheat) kernels and Arabidopsis leaves. Images of isolated wheat kernel tissues and whole wheat kernels following hydrothermal processing and simulated gastric and duodenal digestion were generated, as well as images of Arabidopsis leaves at different points during a diurnal cycle. Individual cells and cell walls were resolved, and large structures within cells, such as starch granules and protein bodies, were clearly identified. Contrast was provided by converting the hyperspectral image cubes into false-colour images using either principal component analysis (PCA) overlays or by correlation analysis. The unsupervised PCA approach provided a clear view of the sample microstructure, whereas the correlation analysis was used to confirm the identity of different anatomical structures using the spectra from isolated components. It was then demonstrated that gelatinized and native starch within cells could be distinguished, and that the loss of starch during wheat digestion could be observed, as well as the accumulation of starch in leaves during a diurnal period.
Keyword Infrared microspectroscopy
Hyperspectral imaging
Wheat grain structure
in vitro digestion
Triticum aestivum L.
Arabidopsis thaliana
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2016 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
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