Journal
BIOTECHNOLOGY AND BIOENGINEERING
Volume 111, Issue 7, Pages 1365-1373Publisher
WILEY
DOI: 10.1002/bit.25194
Keywords
process analytical technology; inline monitoring; chemometrics; partial least squares regression; selective protein quantification; protein analytics; bioprocess monitoring
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Funding
- Ministry of Science, Research, and the Arts of Baden-Wurttemberg, Germany (Az) [33-7533-7-11.6-2]
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Selective quantification of co-eluting proteins in chromatography is usually performed by offline analytics. This is time-consuming and can lead to late detection of irregularities in chromatography processes. To overcome this analytical bottleneck, a methodology for selective protein quantification in multicomponent mixtures by means of spectral data and partial least squares regression was presented in two previous studies. In this paper, a powerful integration of software and chromatography hardware will be introduced that enables the applicability of this methodology for a selective inline quantification of co-eluting proteins in chromatography. A specific setup consisting of a conventional liquid chromatography system, a diode array detector, and a software interface to Matlab (R) was developed. The established tool for selective inline quantification was successfully applied for a peak deconvolution of a co-eluting ternary protein mixture consisting of lysozyme, ribonuclease A, and cytochrome c on SP Sepharose FF. Compared to common offline analytics based on collected fractions, no loss of information regarding the retention volumes and peak flanks was observed. A comparison between the mass balances of both analytical methods showed, that the inline quantification tool can be applied for a rapid determination of pool yields. Finally, the achieved inline peak deconvolution was successfully applied to make product purity-based real-time pooling decisions. This makes the established tool for selective inline quantification a valuable approach for inline monitoring and control of chromatographic purification steps and just in time reaction on process irregularities. Biotechnol. Bioeng. 2014;111: 1365-1373. (c) 2014 Wiley Periodicals, Inc.
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