Potentiometric enzyme channelling immunosensor for proteins
dc.contributor.author | Brown, Daniel V. | en_US |
dc.contributor.author | Meyerhoff, Mark E. | en_US |
dc.date.accessioned | 2006-04-10T14:55:21Z | |
dc.date.available | 2006-04-10T14:55:21Z | |
dc.date.issued | 1991 | en_US |
dc.identifier.citation | Brown, Daniel V., Meyerhoff, Mark E. (1991)."Potentiometric enzyme channelling immunosensor for proteins." Biosensors and Bioelectronics 6(7): 615-622. <http://hdl.handle.net/2027.42/29631> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6TFC-44FN2RK-D/2/6659d4c03b8947063eabb8538362db9f | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/29631 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=1756003&dopt=citation | en_US |
dc.description.abstract | A potentiometric immunosensor for the detection of human IgG has been developed using an asymmetric, ion-selective membrane with immobilized adenosine deaminase and IgG. A protein A-alkaline phosphatase conjugate binds to the immobilized IgG, creating a bienzymatic catalytic layer. In the presence of sample IgG, the conjugate does not bind to the membrane. Instead, the intermediate in the two-step reaction (adenosine) must diffuse to the membrane surface, reducing the rate of product (ammonium) formation within the diffusion layer detected by the membrane. The immunosensor demonstrated is for the determination of IgG. A simplified model is described to predict the maximum rate enhancement for the `channeled' versus `unchanneled' reaction mechanisms. | en_US |
dc.format.extent | 847715 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Potentiometric enzyme channelling immunosensor for proteins | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Radiology | en_US |
dc.subject.hlbsecondlevel | Materials Science and Engineering | en_US |
dc.subject.hlbsecondlevel | Dentistry | en_US |
dc.subject.hlbsecondlevel | Biomedical Engineering | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Chemistry, The University of Michigan, Ann Arbor, MI 48109-1055, USA | en_US |
dc.contributor.affiliationum | Department of Chemistry, The University of Michigan, Ann Arbor, MI 48109-1055, USA | en_US |
dc.identifier.pmid | 1756003 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/29631/1/0000720.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0956-5663(91)80027-U | en_US |
dc.identifier.source | Biosensors and Bioelectronics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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