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Astringency quantification in wine: comparison of the electronic tongue and FT-MIR spectroscopy

机译:葡萄酒中的涩味定量:电子舌和FT-MIR光谱的比较

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摘要

Electronic tongue based on potentiometric chemical sensors and Fourier transform mid-infrared spectroscopy (FT-MIR) were evaluated as rapid tools for the prediction of gelatin index of red, white and rose wines. Gelatin index was measured using modified procedure, which was applicable not only to red but also to white and rose wines. Relationship between gelatin index and a set of chemical parameters, electronic tongue and FT-MIR data have been investigated using multi-block analysis method called common component and specific weight analysis (CCSWA). Calibration models for gelatin index prediction were calculated using partial least square (PLS) regression. Variable selection for the PLS models was done using Variable Importance in Prediction criterion. Quantification of gelatin index in red and rose wine was possible using both electronic tongue and FT-MIR data with adjusted R~2 in prediction of 0.75 and 0.89 for rose and 0.83 and 0.87 for red wine, respectively.
机译:基于电位化学传感器和傅里叶变换中红外光谱(FT-MIR)的电子舌被评估为预测红,白和玫瑰葡萄酒明胶指数的快速工具。明胶指数是使用改进的方法测量的,该方法不仅适用于红葡萄酒,还适用于白葡萄酒和玫瑰葡萄酒。明胶指数与一组化学参数,电子舌和FT-MIR数据之间的关系已使用称为共同成分和比重分析(CCSWA)的多嵌段分析方法进行了研究。使用偏最小二乘(PLS)回归计算明胶指数预测的校准模型。使用预测准则中的变量重要性对PLS模型进行变量选择。可以使用电子舌和FT-MIR数据对红和玫瑰酒中的明胶指数进行定量,调整后的R〜2分别预测玫瑰为0.75和0.89,红酒为0.83和0.87。

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