Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jbiotec.2011.09.028
DC FieldValue
dc.titleProtein precipitation by polyethylene glycol: A generalized model based on hydrodynamic radius
dc.contributor.authorSim, S.-L.
dc.contributor.authorHe, T.
dc.contributor.authorTscheliessnig, A.
dc.contributor.authorMueller, M.
dc.contributor.authorTan, R.B.H.
dc.contributor.authorJungbauer, A.
dc.date.accessioned2014-10-09T06:59:38Z
dc.date.available2014-10-09T06:59:38Z
dc.date.issued2012-01-20
dc.identifier.citationSim, S.-L., He, T., Tscheliessnig, A., Mueller, M., Tan, R.B.H., Jungbauer, A. (2012-01-20). Protein precipitation by polyethylene glycol: A generalized model based on hydrodynamic radius. Journal of Biotechnology 157 (2) : 315-319. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jbiotec.2011.09.028
dc.identifier.issn01681656
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/89954
dc.description.abstractPEGs for protein precipitation are usually classified by molecular weight. The higher molecular weight precipitants are more efficient but result in higher viscosity. Following empirical evidence that the precipitation efficiency is more comprehensively characterized by PEG hydrodynamic radius (r h,PEG) than molecular weight, this paper proposes a model to explicate the significance of r h,PEG. A general expression was formulated to characterize the PEG effect exclusively by r h,PEG. The coefficients of a linearized form were then fitted using empirical solubility data. The result is a simple numerical relation that models the efficiency of general-shaped PEG precipitants as a function of r h,PEG and protein hydrodynamic radius (r h,prot). This equation also explains the effects of environmental conditions and PEG branching. While predictions by the proposed correlation agree reasonably well with independent solubility data, its simplicity gives rise to potential quantitative deviations when involving small proteins, large proteins and protein mixtures. Nonetheless, the model offers a new insight into the precipitation mechanism by clarifying the significance of r h,PEG. This in turn helps to refine the selection criterion for PEG precipitants. © 2011 Elsevier B.V.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.jbiotec.2011.09.028
dc.sourceScopus
dc.subjectHydrodynamic radius
dc.subjectMolecular weight
dc.subjectPolyethylene glycol
dc.subjectPrecipitation
dc.subjectProtein
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1016/j.jbiotec.2011.09.028
dc.description.sourcetitleJournal of Biotechnology
dc.description.volume157
dc.description.issue2
dc.description.page315-319
dc.description.codenJBITD
dc.identifier.isiut000300075100005
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