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绿色分析化学在绿色化学工艺中的应用:连续乙醇发酵的磁共振和拉曼光谱过程监测。

Application of green analytical chemistry to a green chemistry process: Magnetic resonance and Raman spectroscopic process monitoring of continuous ethanolic fermentation.

机构信息

Niederrhein University of Applied Sciences, Frankenring, Krefeld, Germany.

University Duisburg-Essen, Universitaetsstraße, Essen, Germany.

出版信息

Biotechnol Bioeng. 2019 Nov;116(11):2874-2883. doi: 10.1002/bit.27112. Epub 2019 Jul 21.

DOI:10.1002/bit.27112
PMID:31286482
Abstract

Compact H NMR and Raman spectrometers were used for real-time process monitoring of alcoholic fermentation in a continuous flow reactor. Yeast cells catalyzing the sucrose conversion were immobilized in alginate beads floating in the reactor. The spectrometers proved to be robust and could be easily attached to the reaction apparatus. As environmentally friendly analysis methods, H NMR and Raman spectroscopy were selected to match the resource- and energy-saving process. Analyses took only a few seconds to minutes compared to chromatographic procedures and were, therefore, suitable for real-time control realized as a feedback loop. Both compact spectrometers were successfully implemented online. Raman spectroscopy allowed for faster spectral acquisition and higher quantitative precision, NMR yielded more resolved signals thus higher specificity. By using the software Matlab for automated data loading and processing, relevant parameters such as the ethanol, glycerol, and sugar content could be easily obtained. The subsequent multivariate data analysis using partial linear least-squares regression type 2 enabled the quantitative monitoring of all reactants within a single model in real time.

摘要

紧凑型核磁共振(NMR)和拉曼光谱仪被用于在连续流反应器中对酒精发酵进行实时过程监测。在反应器中,用于催化蔗糖转化的酵母细胞被固定在浮在溶液中的海藻酸盐珠内。这些光谱仪被证明是坚固耐用的,并且可以很容易地连接到反应装置上。由于核磁共振和拉曼光谱是环保型分析方法,因此被选择用于与资源节约和节能过程相匹配。与色谱程序相比,分析只需要几秒钟到几分钟,因此适合作为反馈循环实现的实时控制。这两种紧凑型光谱仪都成功地实现了在线应用。拉曼光谱允许更快地获取光谱,具有更高的定量精度,而 NMR 则产生了更可分辨的信号,因此具有更高的特异性。通过使用软件 Matlab 进行自动数据加载和处理,可以轻松获得相关参数,如乙醇、甘油和糖的含量。随后使用偏最小二乘回归类型 2 对多元数据进行分析,能够在单个模型中实时定量监测所有反应物。

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