Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment
dc.contributor.author | Lavers, Chris | |
dc.contributor.author | Cree, Alistair | |
dc.contributor.author | Jenkins, David | |
dc.contributor.author | Salah, N | |
dc.contributor.author | Findlay, M | |
dc.date.accessioned | 2020-11-03T10:03:48Z | |
dc.date.issued | 2020-11-08 | |
dc.identifier.isbn | 978-1-5106-3861-7 | |
dc.identifier.issn | 0277-786X | |
dc.identifier.issn | 1996-756X | |
dc.identifier.uri | http://hdl.handle.net/10026.1/16621 | |
dc.description.abstract |
Surface Plasmon Resonance (SPR), an established optical sensing mode for providing quantified surface, is applied here to evaluate its suitability to provide optical parameters from metal layer measurements in a synthetic marine environment. We investigated silver noble metal films exposed to standard saline solution. Silver layers exhibit both long-term durability, and linear temporal reflectivity change, recorded in SPR minimum angle and SPR curve shape. Optical sensor design was achieved using Fresnel's optical theory for isotropic multi-layer media. We developed a datafitting routine, providing numerical real and imaginary permittivity, and thickness solutions for corroded surfaces. | |
dc.format.extent | 115252s-115252s-8- | |
dc.language.iso | en | |
dc.publisher | SPIE | |
dc.subject | Surface plasmon resonance | |
dc.subject | environmental sensing optical modelling | |
dc.title | Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment | |
dc.type | conference | |
dc.type | Conference Proceeding | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000649367600078&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.date-start | 2020-11-09 | |
plymouth.date-finish | 2020-11-13 | |
plymouth.volume | 11525 | |
plymouth.conference-name | SPIE Future Sensing Technologies, 9-13 November 2020 | |
plymouth.publication-status | Published | |
plymouth.journal | SPIE Future Sensing Technologies | |
dc.identifier.doi | 10.1117/12.2585161 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2020-10-23 | |
dc.rights.embargodate | 2020-12-2 | |
dc.identifier.eissn | 1996-756X | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1117/12.2585161 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.type | Conference Paper/Proceeding/Abstract |