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首页> 外文期刊>Biotechnology Progress >In-situ monitoring of Saccharomyces cerevisiae ITV01 bioethanol process using near-infrared spectroscopy NIRS and chemometrics
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In-situ monitoring of Saccharomyces cerevisiae ITV01 bioethanol process using near-infrared spectroscopy NIRS and chemometrics

机译：使用近红外光谱NIRS和化学计量学对酿酒酵母ITV01生物乙醇过程进行现场监测

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摘要

The application feasibility of in-situ or in-line monitoring of S. cerevisiae ITV01 alcoholic fermentation process, employing Near-Infrared Spectroscopy (NIRS) and Chemometrics, was investigated. During the process in a bioreactor, in the complex analytical matrix, biomass, glucose, ethanol and glycerol determinations were performed by a transflection fiber optic probe immersed in the culture broth and connected to a Near-Infrared (NIR) process analyzer. The NIR spectra recorded between 800 and 2,200 nm were pretreated using Savitzky-Golay smoothing and second derivative in order to perform a partial least squares regression (PLSR) and generate the calibration models. These calibration models were tested by external validation and then used to predict concentrations in batch alcoholic fermentations. The standard errors of calibration (SEC) for biomass, ethanol, glucose and glycerol were 0.212, 0.287, 0.532, and 0.296 g/L and standard errors of prediction (SEP) were 0.323, 0.369, 0.794, and 0.507 g/L, respectively. Calibration and validation criteria were defined and evaluated in order to generate robust and reliable models for an alcoholic fermentation process matrix. (c) 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:510-517, 2016
机译：研究了利用近红外光谱法（NIRS）和化学计量学对啤酒酵母ITV01酒精发酵过程进行现场或在线监测的可行性。在生物反应器中的过程中，在复杂的分析基质中，通过浸没在培养液中并连接到近红外（NIR）过程分析仪的半透式光纤探针进行生物量，葡萄糖，乙醇和甘油的测定。为了进行偏最小二乘回归（PLSR）并生成校准模型，使用Savitzky-Golay平滑和二阶导数对记录在800和2,200 nm之间的NIR光谱进行了预处理。这些校准模型通过外部验证进行了测试，然后用于预测分批酒精发酵中的浓度。生物质，乙醇，葡萄糖和甘油的校准标准误差（SEC）分别为0.212、0.287、0.532和0.296 g / L，预测标准误差（SEP）分别为0.323、0.369、0.794和0.507 g / L 。定义和评估校准和验证标准，以便为酒精发酵过程矩阵生成可靠可靠的模型。 （c）2016美国化学工程师学会生物技术学会。 Prog。，32：510-517，2016

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