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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number060903
JournalJapanese journal of applied physics
Volume60
Issue number6
DOIs
Publication statusPublished - 2021 Jun

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)

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