Bio-Raman research using principal component analysis and non-negative matrix factorization on rice grains: Detections of ordered and disordered states of starch in the cooking process

Ziteng Wang, Mengmeng He, Wulan Intan Sari, Naoki Kishimoto, Shin Ichi Morita

研究成果: Article査読

抄録

We measured Raman spectra in a cooking process of rice grains and applied principal component analysis (PCA) to confirm binary states of starch: ordered and disordered states of starch in the cooking process by analytically separating sharper and broader components for the bands around 870 and 940 cm−1 due to starch. These sharper and broader components were optimized by non-negative matrix factorization (NMF), based on the PCA. The ratio defined using these two components clearly distinguished before/after the cooking of rice grains. The ratio can be an effective indicator to estimate the degree of cooking.

本文言語English
論文番号060903
ジャーナルJapanese journal of applied physics
60
6
DOI
出版ステータスPublished - 2021 6

ASJC Scopus subject areas

  • 工学(全般)
  • 物理学および天文学(全般)

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