采用近红外（NIR）光谱法和折射法相结合的方法测定啤酒样品中的酒精和浸出物浓度。
Determination of alcohol and extract concentration in beer samples using a combined method of near-infrared (NIR) spectroscopy and refractometry.
机构信息
Central Laboratory, Research and Teaching Institute for Brewing in Berlin (VLB Berlin), Seestrasse 13, 13353 Berlin, Germany.
出版信息
J Agric Food Chem. 2010 Dec 22;58(24):12634-41. doi: 10.1021/jf1030604. Epub 2010 Nov 22.
A new approach of combination of near-infrared (NIR) spectroscopy and refractometry was developed in this work to determine the concentration of alcohol and real extract in various beer samples. A partial least-squares (PLS) regression, as multivariate calibration method, was used to evaluate the correlation between the data of spectroscopy/refractometry and alcohol/extract concentration. This multivariate combination of spectroscopy and refractometry enhanced the precision in the determination of alcohol, compared to single spectroscopy measurements, due to the effect of high extract concentration on the spectral data, especially of nonalcoholic beer samples. For NIR calibration, two mathematical pretreatments (first-order derivation and linear baseline correction) were applied to eliminate light scattering effects. A sample grouping of the refractometry data was also applied to increase the accuracy of the determined concentration. The root mean squared errors of validation (RMSEV) of the validation process concerning alcohol and extract concentration were 0.23 Mas% (method A), 0.12 Mas% (method B), and 0.19 Mas% (method C) and 0.11 Mas% (method A), 0.11 Mas% (method B), and 0.11 Mas% (method C), respectively.
本工作提出了一种近红外（NIR）光谱和折射法相结合的新方法，用于测定各种啤酒样品中酒精和实际提取物的浓度。偏最小二乘法（PLS）回归作为多元校正方法，用于评估光谱/折射法数据与酒精/提取物浓度之间的相关性。与单一光谱测量相比，由于高提取物浓度对光谱数据的影响，特别是对非酒精啤酒样品的影响，光谱和折射法的这种多元组合增强了酒精测定的精度。对于 NIR 校准，应用了两种数学预处理（一阶导数和线性基线校正）来消除光散射效应。还对折射法数据进行了样品分组，以提高所测定浓度的准确性。验证过程中关于酒精和提取物浓度的验证均方根误差（RMSEV）分别为 0.23 Mas%（方法 A）、0.12 Mas%（方法 B）和 0.19 Mas%（方法 C）和 0.11 Mas%（方法 A）、0.11 Mas%（方法 B）和 0.11 Mas%（方法 C）。
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