The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.
Biotechnol Bioeng. 2013 Jul;110(7):1924-35. doi: 10.1002/bit.24850. Epub 2013 Feb 15.
In recent years, high throughput screening (HTS) studies have been increasingly employed as an integral element of bioprocess development activities. These studies are often limited by an analytical bottleneck; they generate multiple samples for analysis and the available analytical methods cannot always cope with the added analytical burden. A potential solution to this challenge is offered by the deployment of appropriate analytics. This article outlines features of analytical methods that affect their fit to high throughput (HT) applications. These are discussed for a range of analytics frequently used in bioprocess development studies of monoclonal antibodies. It then outlines how these features need to be considered in order to classify analytical methods in terms of their particular application in high throughput scenarios.
近年来,高通量筛选 (HTS) 研究已越来越多地被用作生物工艺开发活动的一个组成部分。这些研究通常受到分析瓶颈的限制;它们为分析生成多个样本,而现有的分析方法并不总是能够应对增加的分析负担。适当的分析方法的应用为这一挑战提供了一个潜在的解决方案。本文概述了影响分析方法适合高通量 (HT) 应用的特点。这些特点针对在单克隆抗体的生物工艺开发研究中经常使用的一系列分析方法进行了讨论。然后,本文概述了如何考虑这些特点,以便根据其在高通量情况下的特定应用对分析方法进行分类。