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Performance Evaluation of Focal Plane Array (FPA)-FTIR and Synchrotron Radiation (SR)-FTIR Microspectroscopy to Classify Rice Components

Published online by Cambridge University Press:  05 September 2022

Supatcharee Siriwong Open the ORCID record for Supatcharee Siriwong [Opens in a new window] ,
Waraporn Tanthanuch ,
Duangjai Srisamut ,
Chulalak Chantarakhon ,
Kanokwan Kamkajon  and
Kanjana Thumanu
Supatcharee Siriwong
Affiliation:
Research Facility Department, Synchrotron Light Research Institute (Public Organization), Mueang District, Nakhon Ratchasima, 30000, Thailand
Waraporn Tanthanuch
Affiliation:
Research Facility Department, Synchrotron Light Research Institute (Public Organization), Mueang District, Nakhon Ratchasima, 30000, Thailand
Duangjai Srisamut
Affiliation:
Research Facility Department, Synchrotron Light Research Institute (Public Organization), Mueang District, Nakhon Ratchasima, 30000, Thailand
Chulalak Chantarakhon
Affiliation:
Research Facility Department, Synchrotron Light Research Institute (Public Organization), Mueang District, Nakhon Ratchasima, 30000, Thailand
Kanokwan Kamkajon
Affiliation:
Center of Calcium and Bone Research (COCAB), Department of Physiology, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
Kanjana Thumanu*
Affiliation:
Research Facility Department, Synchrotron Light Research Institute (Public Organization), Mueang District, Nakhon Ratchasima, 30000, Thailand
*
*Corresponding author: Kanjana Thumanu, E-mail: kthumanu@gmail.com
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Abstract

The development of biochemical analysis techniques to study heterogeneous biological samples is increasing. These techniques include synchrotron radiation Fourier transform infrared (SR-FTIR) microspectroscopy. This method has been applied to analyze biological tissue with multivariate statistical analysis to classify the components revealed by the spectral data. This study aims to compare the efficiencies of SR-FTIR microspectroscopy and focal plane array (FPA)-FTIR microspectroscopy when classifying rice tissue components. Spectral data were acquired for mapping the same sample areas from both techniques. Principal component analysis and cluster imaging were used to investigate the biochemical variations of the tissue types. The classification was based on the functional groups of pectin, protein, and polysaccharide. Four layers from SR-FTIR microspectroscopy including pericarp, aleurone layer, sub-aleurone layer, and endosperm were classified using cluster imaging, while FPA-FTIR microspectroscopy could classify only three layers of pericarp, aleurone layer, and endosperm. Moreover, SR-FTIR microspectroscopy increased the image contrast of the biochemical distribution in rice tissue more efficiently than FPA-FTIR microspectroscopy. We have demonstrated the capability of the high-resolution synchrotron technique and its ability to clarify small structures in rice tissue. The use of this technique might increase in future studies of tissue characterization.

Keywords

biochemical structurechemical imageFTIR microspectroscopyrice tissue sectionsynchrotron infrared
Type
Biological Applications
Information
Microscopy and Microanalysis , Volume 28 , Issue 6 , December 2022 , pp. 2059 - 2068
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the Microscopy Society of America

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