Peer-Reviewed Journal Details
Mandatory Fields
Li, B; Ray, B.H; Leister, K.J; Ryder, A.G;
2013
August
Analytica Chimica Acta
Performance Monitoring of a Mammalian Cell Based Bioprocess using Raman spectroscopy.
Published
Altmetric: 1WOS: 28 ()
Optional Fields
Raman spectroscopy Bioprocess Glycoprotein Chemometrics Variable selection CHO cell NEAR-INFRARED SPECTROSCOPY WAVELENGTH INTERVAL SELECTION ANALYTICAL TECHNOLOGY PAT LEAST-SQUARES REGRESSION MULTIVARIATE CALIBRATION PLS-REGRESSION GENETIC ALGORITHMS VARIABLES CULTURE PRODUCTS
796
84
91
Being able to predict the final product yield at all stages in long-running, industrial, mammalian cell culture processes is vital for both operational efficiency, process consistency, and the implementation of Quality by Design (QbD) practices. Here we used Raman spectroscopy to monitor (in terms of glycoprotein yield prediction) a fed-batch fermentation from start to finish. Raman data were collected from 12 different time points in a Chinese Hamster Ovary (CHO) based manufacturing process and across 37 separate production runs. The samples comprised of clarified bioprocess broths extracted from the CHO cell based process with varying amounts of fresh and spent cell culture media. Competitive adaptive reweighted sampling (CoAdReS) and ant colony optimization (ACO) variable selection methods were used to enhance the predictive ability of the chemometric models by removing unnecessary spectral information. Using CoAdReS accurate prediction models (relative error of predictions between 2.13.3%) were built for the final glycoprotein yield at every stage of the bioprocess from small scale up to the final 5000L bioreactor. This result reinforces our previous studies which indicate that media quality is one of the most significant factors determining the efficiency of industrial CHO-cell processes. This Raman based approach could thus be used to manage production in terms of selecting which small scale batches are progressed to large-scale manufacture, thus improving process efficiency significantly.
http://www.sciencedirect.com/science/article/pii/S0003267013010349
10.1016/j.aca.2013.07.058
Grant Details
CBAS (IDA & BMS co-fund).
Publication Themes