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利用拉曼光谱和多元校准分析定量预测大米淀粉消化率。

Quantitative prediction of rice starch digestibility using Raman spectroscopy and multivariate calibration analysis.

机构信息

Laboratory for Comprehensive Bioimaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.

Hiroshima Prefectural Technology Research Institute Agricultural Technology Research Center, Hiroshima, Japan.

出版信息

Food Chem. 2024 Mar 1;435:137505. doi: 10.1016/j.foodchem.2023.137505. Epub 2023 Sep 16.

DOI:10.1016/j.foodchem.2023.137505
PMID:37837895
Abstract

Digestibility is an important characteristic of rice starch. It is affected by the growing environment, such as temperature and soil, so that even in the same genetic cultivar the digestibility of each product will be different. Here, we predicted rice starch digestibility by Raman scattering spectroscopy. A partial least squares (PLS) regression analysis was performed between biochemically quantified digestibility index values and Raman scattering spectra of purified starch from rice samples of different cultivars and growing conditions. The prediction model obtained by analyzing the individual cultivars was able to predict digestibility with a high accuracy, with an R of 0.95 and RMSEP of 0.43, whereas a mixture of all cultivars resulted in more than two times worse accuracy. Our finding suggests that the molecular structures affecting digestibility fluctuate depending on the growing environment while maintaining a unique balance regulated by cultivar-specific starch synthesis mechanisms.

摘要

消化率是稻米淀粉的一个重要特性。它受到生长环境(如温度和土壤)的影响,因此即使在相同的遗传品种中,每个产品的消化率也会有所不同。在这里,我们通过拉曼散射光谱法预测了稻米淀粉的消化率。对不同品种和生长条件的稻米样品纯化淀粉的生化定量消化率指数值与拉曼散射光谱进行了偏最小二乘(PLS)回归分析。通过分析个别品种获得的预测模型能够以较高的精度预测消化率,R 为 0.95,RMSEP 为 0.43,而混合所有品种的准确性则差了两倍以上。我们的研究结果表明,影响消化率的分子结构会随着生长环境的变化而波动,但同时也会保持由特定于品种的淀粉合成机制调节的独特平衡。

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