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In-line monitoring of Saccharomyces cerevisiae fermentation with a fluorescence probe: new approaches to data collection and analysis

机译:使用荧光探针在线监测啤酒酵母发酵:数据收集和分析的新方法

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摘要

Fluorescence analysis, in particular two-dimensional excitation-emission matrix (EEMj spectroscopy, is a sensitive in-line process monitoring tool in the biotechnological production. Before it can be widely adopted by the industry, fast effective algorithms for the analysis of massive and complex fluorescence data should be developed. Weak emission signals are prone to various interferences complicating the modeling, such as excitation light Rayleigh scatter. The scatter is usually considered as an unwanted background to be avoided or removed. This work is focused on effective usage of the entire spectral information. It has been shown that scatter peaks coming from the excitation or an external light source can be used in the data analysis to improve the performance of a multivariate model. A new fluorescence Lighthouse Probe~(TM) (LHP) has been applied in-line to monitor Saccharomyces cerevisiae fermentation in a lab reactor. Exploratory data analysis of two fed-batch cultivations has been performed using Partial Least Squares regression and Multivariate Curve Resolution. A simple algorithm for the resolution of process profiles and two-dimensional spectra of individual fluorophores from three-way fluorescence data in the presence of intensive scatter has been suggested and applied to the process diagnostics.
机译:荧光分析,特别是二维激发-发射矩阵(EEMj光谱),是生物技术生产中的一种敏感的在线过程监控工具,在被业界广泛采用之前,快速有效的算法可用于分析大规模和复杂的应开发荧光数据,微弱的发射信号容易受到各种干扰,使建模复杂化,例如激发光瑞利散射,该散射通常被认为是需要避免或消除的不需要的背景,这项工作的重点是有效利用整个光谱信息已表明,来自激发或外部光源的散射峰可用于数据分析以改善多元模型的性能,已应用了新的荧光Lighthouse Lighthouse〜(LHP)在线监测实验室反应器中的酿酒酵母发酵。两种补料分批培养的探索性数据分析使用偏最小二乘回归和多元曲线分辨率进行。已经提出了一种简单的算法,用于在强烈散射的情况下从三向荧光数据中解析单个荧光团的过程轮廓和二维光谱,并将其应用于过程诊断。

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