The authors declare no conflict of interest.
Identifying analytics for high throughput bioprocess development studies†
Article first published online: 15 FEB 2013
Copyright © 2013 Wiley Periodicals, Inc.
Biotechnology and Bioengineering
Volume 110, Issue 7, pages 1924–1935, July 2013
How to Cite
Konstantinidis, S., Kong, S. and Titchener-Hooker, N. (2013), Identifying analytics for high throughput bioprocess development studies. Biotechnol. Bioeng., 110: 1924–1935. doi: 10.1002/bit.24850
- Issue published online: 25 MAY 2013
- Article first published online: 15 FEB 2013
- Accepted manuscript online: 17 JAN 2013 08:40AM EST
- Manuscript Accepted: 7 JAN 2013
- Manuscript Revised: 1 DEC 2012
- Manuscript Received: 17 SEP 2012
- GE Healthcare
- analytical bottleneck;
- bioprocess development;
- high throughput analytics;
- high throughput screening;
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. Biotechnol. Bioeng. 2013; 110: 1924–1935. © 2013 Wiley Periodicals, Inc.