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首页> 外文期刊>Food and bioprocess technology >Application of FT-NIR Spectroscopy to Apple Wine for Rapid Simultaneous Determination of Soluble Solids Content, pH, Total Acidity, and Total Ester Content
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Application of FT-NIR Spectroscopy to Apple Wine for Rapid Simultaneous Determination of Soluble Solids Content, pH, Total Acidity, and Total Ester Content

机译:FT-NIR光谱法在苹果酒中的应用同时快速测定可溶性固体含量,pH,总酸度和总酯含量

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摘要

The feasibility of rapid simultaneous analysis of soluble solid content (SSC), PH, total acidity, and total ester content in apple wine by Fourier transform near-infrared (FT-NIR) spectroscopy together with partial least squares (PLS) models was studied in this work. A set of 380 apple wine samples were scanned in a quartz cuvette with a 1-mm path length in the NIR region (4,000-12,000 cm(-1)) in transmission mode. Calibration models were established by PLS with full cross-validation. The NIR spectra were pretreated with different methods, and the effective wave number range together with the number of PLS factors used in the model calibration was optimized. The optimal models yielded the determination coefficients of 0.91, 0.93, 0.98, and 0.92 and the root mean standard error of prediction (RMSEP) of 0.601, 0.077, 0.021, and 0.096 for SSC, pH, total acidity, and total ester content, respectively. This work demonstrated that NIR spectroscopy was a rapid and convenient technique for analyzing and predicting SSC, pH, total acidity, and total ester content simultaneously during apple wine fermentation process.
机译:研究了通过傅里叶变换近红外光谱(FT-NIR)和偏最小二乘(PLS)模型快速同时分析苹果酒中可溶性固形物(SSC),PH,总酸度和总酯含量的可行性。这项工作。一组380个苹果酒样品在石英比色皿中以透射模式在NIR区域(4,000-12,000 cm(-1))中具有1-mm的路径长度进行扫描。通过PLS建立具有完全交叉验证的校准模型。用不同的方法预处理近红外光谱,并优化了有效波数范围以及模型校准中使用的PLS因子数。最佳模型得出的SSC,pH,总酸度和总酯含量的测定系数分别为0.91、0.93、0.98和0.92,预测均方根标准误差(RMSEP)为0.601、0.077、0.021和0.096。 。这项工作表明,NIR光谱法是一种快速便捷的技术,可以在苹果酒发酵过程中同时分析和预测SSC,pH,总酸度和总酯含量。

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