Show simple item record

dc.contributor.authorCrowell, Laura E
dc.contributor.authorRodriguez, Sergio A
dc.contributor.authorLove, Kerry R
dc.contributor.authorCramer, Steven M
dc.contributor.authorLove, J Christopher
dc.date.accessioned2021-10-27T20:23:49Z
dc.date.available2021-10-27T20:23:49Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/135519
dc.description.abstractStraight-through chromatography, wherein the eluate from one column passes directly onto another column without adjustment, is one strategy to integrate and intensify manufacturing processes for biologics. Development and optimization of such straight-through chromatographic processes is a challenge, however. Conventional high-throughput screening methods optimize each chromatographic step independently, with limited consideration for the connectivity of steps. Here, we demonstrate a method for the development and optimization of fully integrated, multi-column processes for straight-through purification. Selection of resins was performed using an in silico tool for the prediction of processes for straight-through purification based on a one-time characterization of host-cell proteins combined with the chromatographic behavior of the product. A two-step optimization was then conducted to determine the buffer conditions that maximized yield while minimizing process- and product-related impurities. This optimization of buffer conditions included a series of range-finding experiments on each individual column, similar to conventional screening, followed by the development of a statistical model for the fully integrated, multi-column process using design of experiments. We used this methodology to develop and optimize integrated purification processes for a single-domain antibody and a cytokine, obtaining yields of 88% and 86%, respectively, with process- and product-related variants reduced to phase-appropriate levels for nonclinical material.
dc.language.isoen
dc.publisherWiley
dc.relation.isversionof10.1002/bit.27767
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceWiley
dc.titleRapid optimization of processes for the integrated purification of biopharmaceuticals
dc.typeArticle
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.relation.journalBiotechnology and Bioengineering
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-06-22T16:48:41Z
dspace.orderedauthorsCrowell, LE; Rodriguez, SA; Love, KR; Cramer, SM; Love, JC
dspace.date.submission2021-06-22T16:48:42Z
mit.journal.volume118
mit.journal.issue9
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record