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首页> 外文期刊>Brazilian journal of chemical engineering >Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation
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Real time and in situ Near-Infrared Spectroscopy (Nirs) for Quantitative Monitoring of Biomass, Glucose, Ethanol and Glycerine concentrations in an alcoholic fermentation

机译:实时和原位近红外光谱(Nirs)用于酒精发酵中生物量,葡萄糖,乙醇和甘油浓度的定量监测

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Abstract This study investigates the application of NIR spectroscopy for real-time monitoring of process parameters in alcoholic fermentations. For this purpose, fermentation batches using Saccharomyces cerevisiae were carried out and monitored in situ by an immersed NIRS probe. Samples were collected throughout the fermentations, and concentrations of biomass, glucose, ethanol and glycerin were analyzed by reference methods and multivariate data analyses such as PCA and PLSR. PCA was used to investigate data variability and to select samples for calibration and for external validation sets. A PLSR model for biomass yielded R 2 and RMSEP values of 0.99 and 0.276 g.L -1 , respectively. For glucose, the carbon source, the PLSR model yielded an R 2 of 0.95 and an RMSEP of 7.14 g.L -1 . The PLSR model for ethanol was characterized by an R 2 of 0.95 and an RMSEP of 0.06 g.L -1 . For glycerin, a highly accurate PLSR model with an R 2 of 0.98 and an RMSEP of 0.116 g.L-1 was obtained. These results indicate that an in situ NIRS probe is suitable for real-time monitoring of important parameters in alcoholic fermentations.
机译:摘要本文研究了近红外光谱技术在酒精发酵过程参数实时监测中的应用。为此,使用酿酒酵母进行发酵批次,并通过浸入式NIRS探针进行原位监测。在整个发酵过程中收集样品,并通过参考方法和多变量数据分析(例如PCA和PLSR)分析生物量,葡萄糖,乙醇和甘油的浓度。 PCA用于调查数据变异性并选择样本进行校准和外部验证。用于生物质的PLSR模型产生的R 2和RMSEP值分别为0.99和0.276 g.L -1。对于碳源的葡萄糖,PLSR模型得出的R 2为0.95,RMSEP为7.14 g.L -1。乙醇的PLSR模型的特征是R 2为0.95,RMSEP为0.06 g.L -1。对于甘油,获得了R 2为0.98,RMSEP为0.116 g.L-1的高精度PLSR模型。这些结果表明,原位NIRS探针适用于酒精发酵中重要参数的实时监控。

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