Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment

C Lavers; Alistair Cree; David Jenkins; N Salah; M Findlay

doi:10.1117/12.2585161

Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment

C Lavers^*
, Alistair Cree
, David Jenkins
, N Salah
, M Findlay

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Research output: Contribution to conference › Poster › peer-review

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Original language	English
DOIs	https://doi.org/10.1117/12.2585161
Publication status	Published - 8 Nov 2020
Event	SPIE Future Sensing Technologies - Online, Japan Duration: 9 Nov 2020 → 13 Nov 2020 https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/11525.toc#_=_

Conference

Conference	SPIE Future Sensing Technologies
Country/Territory	Japan
Period	9/11/20 → 13/11/20
Internet address	https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/11525.toc#_=_

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10.1117/12.2585161

SPR3-SPIE Poster Template 44x44Accepted author manuscript, 571 KB

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@conference{328a46b83a5843369982bdd7221048d9,

title = "Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment",

author = "C Lavers and Alistair Cree and David Jenkins and N Salah and M Findlay",

year = "2020",

month = nov,

day = "8",

doi = "10.1117/12.2585161",

language = "English",

note = "SPIE Future Sensing Technologies ; Conference date: 09-11-2020 Through 13-11-2020",

url = "https://www.spiedigitallibrary.org/conference-proceedings-of-SPIE/11525.toc\#\_=\_",

}

TY - CONF

T1 - Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment

AU - Lavers, C

AU - Cree, Alistair

AU - Jenkins, David

AU - Salah, N

AU - Findlay, M

PY - 2020/11/8

Y1 - 2020/11/8

UR - https://pearl.plymouth.ac.uk/secam-research/1401

U2 - 10.1117/12.2585161

DO - 10.1117/12.2585161

M3 - Poster

T2 - SPIE Future Sensing Technologies

Y2 - 9 November 2020 through 13 November 2020

ER -

Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment

Conference

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Performance characteristics and permittivity modeling of a surface plasmon resonance sensor for metal surface monitoring in a synthetic maritime environment

Cite this