Literature DB >> 33756327

Raman spectroscopic analysis of polysaccharides in popular Japanese rice cultivars.

Giuseppe Pezzotti1, Wenliang Zhu2, Haruna Chikaguchi2, Elia Marin3, Takehiro Masumura4, Yo-Ichiro Sato5, Tetsuya Nakazaki6.   

Abstract

Analytical algorithms based on Raman spectroscopy are proposed for the determination of amylopectin and amylose concentrations in polished white rice, and applied to characterize and compare linear and branched polysaccharide structures in nine different types of Japanese rice. A selected algorithm used symmetric bending vibrations of the COC glycosidic linkage from a relatively narrow spectral zone between 830 and 895 cm-1. It specifically compared the intensity of Raman signals from two types of bending common to both starch components (C1-O-C5 and C1-O-C4 at 868 and 855 cm-1, respectively) and that at the branch point peculiar to amylopectin (C1-O-C6 at 844 cm-1). Raman data were confronted with data collected by conventional amylose-iodine colorimetry method. Consistency was found between Raman and colorimetric methods over the entire series of tested rice cultivars, thus validating the newly proposed spectroscopic algorithm. The amylose content of the tested rice species broadly varied between 1.2 and 20.4%. The proposed Raman algorithm allows fast and nondestructive determination of amylose content in rice with minimal sample preparation. These characteristics might be key in the development of portable Raman devices capable to promptly screen polysaccharides in different rice cultivars with respect to their interannual and plantation-related fluctuations.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Japanese rice cultivars; Polysaccharides; Raman spectroscopy

Year:  2021        PMID: 33756327     DOI: 10.1016/j.foodchem.2021.129434

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  4 in total

1.  Intelligent Classification of Japonica Rice Growth Duration (GD) Based on CapsNets.

Authors:  Xin Zhao; Jianpei Zhang; Jing Yang; Bo Ma; Rui Liu; Jifang Hu
Journal:  Plants (Basel)       Date:  2022-06-15

2.  Intelligent Identification and Features Attribution of Saline-Alkali-Tolerant Rice Varieties Based on Raman Spectroscopy.

Authors:  Bo Ma; Chuanzeng Liu; Jifang Hu; Kai Liu; Fuyang Zhao; Junqiang Wang; Xin Zhao; Zhenhua Guo; Lijuan Song; Yongcai Lai; Kefei Tan
Journal:  Plants (Basel)       Date:  2022-04-29

3.  Raman Molecular Fingerprints of Rice Nutritional Quality and the Concept of Raman Barcode.

Authors:  Giuseppe Pezzotti; Wenliang Zhu; Haruna Chikaguchi; Elia Marin; Francesco Boschetto; Takehiro Masumura; Yo-Ichiro Sato; Tetsuya Nakazaki
Journal:  Front Nutr       Date:  2021-06-23

4.  Raman Fingerprints of Rice Nutritional Quality: A Comparison between Japanese Koshihikari and Internationally Renowned Cultivars.

Authors:  Giuseppe Pezzotti; Wenliang Zhu; Yuuki Hashimoto; Elia Marin; Takehiro Masumura; Yo-Ichiro Sato; Tetsuya Nakazaki
Journal:  Foods       Date:  2021-11-29
  4 in total

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