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. (24th May 2021)

• Record Type: Journal Article
• Authors: Wang, Ziteng; He, Mengmeng; Sari, Wulan Intan; Kishimoto, Naoki; Morita, Shin-ichi
• Is Part Of: Japanese journal of applied physics. Volume 60:Number 6(2021)
• Publication Date: 2021-05-24
• Subjects: bio -- Raman -- rice -- PCA -- NMF; Physics -- Periodicals; 621.05
• DOI: 10.35848/1347-4065/abff39
• Languages: English
• ISSNs: 0021-4922

Abstract

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.