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dc.contributor.authorOsifeso, Samuel
dc.contributor.authorChu, Suoda
dc.contributor.authorNakkeeran , K.
dc.date.accessioned2021-10-04T10:25:01Z
dc.date.available2021-10-04T10:25:01Z
dc.date.issued2021-10-03
dc.identifier.citationOsifeso , S , Chu , S & Nakkeeran , K 2021 , ' Statistical Modelling of Photonic Crystal Fibre based Surface Plasmon Resonance Sensors Resonant Peak Wavelength for Tolerance Studies ' , Sensors , vol. 21 , no. 19 , 6603 . https://doi.org/10.3390/s21196603en
dc.identifier.issn1424-8220
dc.identifier.otherPURE: 201179441
dc.identifier.otherPURE UUID: b57f6a75-36dd-4c19-86b2-3c5680853f8f
dc.identifier.otherORCID: /0000-0001-6083-9973/work/101051242
dc.identifier.otherScopus: 85116117005
dc.identifier.urihttps://hdl.handle.net/2164/17250
dc.descriptionFunding: This research received no external funding. Acknowledgments: The authors thank Dr. Alison Nordon for the useful discussion. Samuel Osifeso acknowledges the award of a PhD scholarship by Tertiary Education Trust Fund (TETFund). Suoda Chu acknowledges the award of a Postdoc fellowship by the Community for Analytical Measurement Science (CAMS).en
dc.format.extent19
dc.language.isoeng
dc.relation.ispartofSensorsen
dc.rightsCopyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en
dc.subjectresonant peak wavelengthen
dc.subjecttoleranceen
dc.subjectdesign of experimentsen
dc.subjecthollow-coreen
dc.subjectphotonic crystal fibreen
dc.subjectsurface plasmon resonanceen
dc.subjectrefractive indexen
dc.subjectsensoren
dc.subjectfinite element methoden
dc.subjectmetal coatingen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subject.lccTAen
dc.titleStatistical Modelling of Photonic Crystal Fibre based Surface Plasmon Resonance Sensors Resonant Peak Wavelength for Tolerance Studiesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3390/s21196603


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