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dc.contributor.authorMiller, Eric A
dc.contributor.authorBaniya, Subha
dc.contributor.authorOsorio, Daniel
dc.contributor.authorAl Maalouf, Yara Jabbour
dc.contributor.authorSikes, Hadley D
dc.date.accessioned2021-10-27T20:09:57Z
dc.date.available2021-10-27T20:09:57Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/134939
dc.description.abstract© 2017 Elsevier B.V. In this work, we report the development of a general strategy for enhancing the efficiency of target capture in immunoassays, using a bifunctional fusion protein construct which incorporates a substrate-anchoring moiety for the high-abundance immobilization of an antigen-binding domain. This approach was informed by the development of a pseudo first-order rate constant model, and tested in a paper-based assay format using a fusion construct consisting of an rcSso7d binding module and a cellulose-binding domain. These rcSso7d-CBD fusion proteins were solubly expressed and purified from bacteria in high molar yields, and enable oriented, high-density adsorption of the rcSso7d binding species to unmodified cellulose within a 30-second incubation period. These findings were validated using two distinct, antigen-specific rcSso7d variants, which were isolated from a yeast surface display library via flow cytometry. Up to 1.6 micromoles of rcSso7d-CBD was found to adsorb per gram of cellulose, yielding a volume-averaged binder concentration of up to 760 μM within the resulting active material. At this molar abundance, the target antigen is captured from solution with nearly 100% efficiency, maximizing the attainable sensitivity for any given diagnostic system.
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.BIOS.2017.11.050
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcePMC
dc.titlePaper-based diagnostics in the antigen-depletion regime: High-density immobilization of rcSso7d-cellulose-binding domain fusion proteins for efficient target capture
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.relation.journalBiosensors and Bioelectronics
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-09-11T17:00:56Z
dspace.orderedauthorsMiller, EA; Baniya, S; Osorio, D; Al Maalouf, YJ; Sikes, HD
dspace.date.submission2019-09-11T17:00:57Z
mit.journal.volume102
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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