BIOSYST-MeBioS, Catholic University of Leuven, W. De Croylaan 42, B-3001 Leuven, Belgium.
Talanta. 2010 Apr 15;81(1-2):88-94. doi: 10.1016/j.talanta.2009.11.041. Epub 2009 Nov 18.
An electronic tongue (ET) comprising 18 potentiometric chemical sensors was applied to the quantitative analysis of beer. Fifty Belgian and Dutch beers of different types were measured using the ET. The same samples were analyzed using conventional analytical techniques with respect to the main physicochemical parameters. Only non-correlated physicochemical parameters were retained for further analysis, which were real extract, real fermentation degree, alcohol content, pH, bitterness, color, polyphenol and CO(2) content. Relationship between the ET and physicochemical datasets was studied using Canonical Correlation Analysis (CCA). Four significant canonical variates were extracted using CCA. Correlation was observed between 6 physicochemical variables (real extract and fermentation degree, bitterness, pH, alcohol and polyphenols' content) and 14 sensors of the ET. The feasibility of the ET for the quantification of bitterness in beer was evaluated in the aqueous solutions of isomerized hop extract and in the set of 11 beers with bitterness varying between 14 and 38 EBU (European Bitterness Units). Sensors displayed good sensitivity to isomerized hop extract and good prediction of the bitterness in beer was obtained. Calibration models with respect to the physicochemical parameters using ET measurements in 50 Belgian and Dutch beer samples were calculated by Partial Least Square regression. The ET was capable of predicting such parameters as real extract, alcohol and polyphenol content and bitterness, the latter with Root Mean Square Error of Prediction (RMSEP) of 2.5.
一种由 18 个电位化学传感器组成的电子舌(ET)被应用于啤酒的定量分析。使用 ET 测量了 50 种不同类型的比利时和荷兰啤酒。使用传统分析技术对相同的样品进行了主要物理化学参数的分析。仅保留了非相关的物理化学参数用于进一步分析,这些参数是实际提取物、实际发酵程度、酒精含量、pH 值、苦味、颜色、多酚和 CO2 含量。使用典型相关分析(CCA)研究了 ET 与物理化学数据集之间的关系。使用 CCA 提取了四个显著的典型变量。观察到 6 个物理化学变量(实际提取物和发酵程度、苦味、pH 值、酒精和多酚含量)与 ET 的 14 个传感器之间存在相关性。电子舌用于定量测定啤酒中苦味的可行性在异构化啤酒花提取物的水溶液中和在苦味在 14 到 38 EBU(欧洲苦味单位)之间变化的 11 种啤酒中进行了评估。传感器对异构化啤酒花提取物具有良好的灵敏度,并且可以很好地预测啤酒中的苦味。通过偏最小二乘回归计算了 50 种比利时和荷兰啤酒样品中 ET 测量值相对于物理化学参数的校准模型。ET 能够预测实际提取物、酒精和多酚含量以及苦味等参数,后者的预测均方根误差(RMSEP)为 2.5。