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标题：Quantification of Ash and Moisture in Wheat Flour by Raman Spectroscopy
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作者：Tomasz Czaja ; Aldona Sobota ; Roman Szostak 等
期刊名称：Foods
电子版ISSN：2304-8158
出版年度：2020
卷号：9
期号：3
页码：280-286
DOI：10.3390/foods9030280
出版社：MDPI Publishing
摘要：Wheat flour is widely used on an industrial scale in baked goods, pasta, food concentrates, and confectionaries. Ash content and moisture can serve as important indicators of the wheat flour’s quality and use, but the routinely applied assessment methods are laborious. Partial least squares regression models, obtained using Raman spectra of flour samples and the results of reference gravimetric analysis, allow for fast and reliable determination of ash and moisture in wheat flour, with relative standard errors of prediction of the order of 2%. Analogous calibration models that enable quantification of carbon, oxygen, sulfur, and nitrogen, and hence protein, in the analyzed flours, with relative standard errors of prediction equal to 0.1, 0.3, 3.3, and 1.4%, respectively, were built combining the results of elemental analysis and Raman spectra.
关键词：wheat flour; ash; moisture; protein; elemental analysis; multivariate analysis wheat flour ; ash ; moisture ; protein ; elemental analysis ; multivariate analysis