Suppr超能文献

利用近红外光谱法和化学计量学快速测定全麦粉中的总酚含量。

Rapid determination of total phenolic content of whole wheat flour using near-infrared spectroscopy and chemometrics.

机构信息

Department of Grain Science and Industry, Kansas State University, Manhattan, KS 66506, USA.

Agricultural Research Center- Hays, Kansas State University, Hays, KS 67601, USA.

出版信息

Food Chem. 2021 May 15;344:128633. doi: 10.1016/j.foodchem.2020.128633. Epub 2020 Nov 13.

Abstract

Phenolics in whole wheat products provide many health benefits. Wheat breeders, producers, and end-users are becoming increasingly interested in wheats with higher total phenolic content (TPC). Whole wheat flour with higher phenolics may have greater marketing value in the future. However, conventional methods determining TPC are costly and labor-intensive, which are not practical for wheat breeders to analyze several thousands of lines within a limited timeframe. We presented a novel application of near-infrared spectroscopy for TPC prediction in whole wheat flour. The optimal regression model demonstrated R values of 0.92 and 0.90 for the calibration and validation sets, and a residual prediction deviation value of 3.4. The NIR method avoids the tedious extraction and TPC assay procedures, making it more convenient and cost-effective. Our result also demonstrated that NIR can accurately quantify phenolics even at low concentration (less than 0.2%) in the food matrix such as whole wheat flour.

摘要

全麦制品中的酚类化合物具有多种健康益处。小麦育种者、生产者和终端用户对总酚含量(TPC)更高的小麦越来越感兴趣。未来,高酚类全麦面粉可能具有更大的市场价值。然而,传统的 TPC 测定方法成本高且劳动强度大,对于小麦育种者来说,在有限的时间内分析数千个品系是不切实际的。我们提出了近红外光谱法在全麦粉 TPC 预测中的新应用。最优回归模型在校准集和验证集的 R 值分别为 0.92 和 0.90,残差预测偏差值为 3.4。NIR 方法避免了繁琐的提取和 TPC 测定程序,更加方便和经济高效。我们的结果还表明,NIR 甚至可以在食品基质(如全麦粉)中低浓度(低于 0.2%)时准确地定量酚类化合物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验