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dc.contributor.authorRyder, Alan G.
dc.contributor.authorLi, Boyan
dc.contributor.authorRay, Bryan H.
dc.date.accessioned2013-12-20T17:34:17Z
dc.date.available2013-12-20T17:34:17Z
dc.date.issued2013
dc.identifier.citationB. Li, B.H. Ray, K.J. Leister, and A.G. Ryder (2013) 'Performance Monitoring of a Mammalian Cell Based Bioprocess using Raman spectroscopy'. Analytica Chimica Acta, 796 :84-91.en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0003267013010349
dc.identifier.urihttp://hdl.handle.net/10379/3938
dc.description.abstractBeing 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 2.1 3.3%) 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. en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.relation.ispartofAnalytica Chimica Actaen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectRaman Spectroscopyen_US
dc.subjectBiopharmaceuticalen_US
dc.subjectChemometricsen_US
dc.subjectCHO cellen_US
dc.titlePerformance Monitoring of a Mammalian Cell Based Bioprocess using Raman spectroscopy.en_US
dc.typeArticleen_US
dc.date.updated2013-09-19T15:57:48Z
dc.identifier.doi10.1016/j.aca.2013.07.058
dc.local.publishedsourcehttp://dx.doi.org/10.1016/j.aca.2013.07.058en_US
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|Industrial Contracts|~|
dc.internal.rssid2404152
dc.local.contactAlan Ryder, School Of Chemistry, Room 228, Arts/Science Building, Nui Galway. 2943 Email: alan.ryder@nuigalway.ie
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dc.local.versionACCEPTED
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland