Institute of Technical Chemistry, Gottfried Wilhelm Leibniz University of Hannover, Callinstraße 5, 30167, Hannover, Germany.
Department of Chemical Biological Engineering, Colorado State University, 344 Scott Bioengineering, Fort Collins, Colorado, 80523-1370, USA.
Anal Bioanal Chem. 2017 Jan;409(3):651-666. doi: 10.1007/s00216-016-0068-x. Epub 2016 Nov 30.
The use of spectroscopic sensors for bioprocess monitoring is a powerful tool within the process analytical technology (PAT) initiative of the US Food and Drug Administration. Spectroscopic sensors enable the simultaneous real-time bioprocess monitoring of various critical process parameters including biological, chemical, and physical variables during the entire biotechnological production process. This potential can be realized through the combination of spectroscopic measurements (UV/Vis spectroscopy, IR spectroscopy, fluorescence spectroscopy, and Raman spectroscopy) with multivariate data analysis to obtain relevant process information out of an enormous amount of data. This review summarizes the newest results from science and industry after the establishment of the PAT initiative and gives a critical overview of the most common in-line spectroscopic techniques. Examples are provided of the wide range of possible applications in upstream processing and downstream processing of spectroscopic sensors for real-time monitoring to optimize productivity and ensure product quality in the pharmaceutical industry.
光谱传感器在生物过程监测中的应用是美国食品和药物管理局(FDA)过程分析技术(PAT)计划中的一项强大工具。光谱传感器能够在整个生物技术生产过程中同时实时监测各种关键过程参数,包括生物、化学和物理变量。这种潜力可以通过将光谱测量(紫外/可见光谱、红外光谱、荧光光谱和拉曼光谱)与多元数据分析相结合来实现,从而从大量数据中获得相关的过程信息。这篇综述总结了 PAT 计划建立后的科学和工业界的最新成果,并对最常见的在线光谱技术进行了批判性的概述。提供了光谱传感器在实时监测中的广泛应用实例,以优化制药行业的生产力并确保产品质量。这些应用包括上游处理和下游处理。