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dc.contributor.authorMartínez Perdiguero, Jesús ORCID
dc.contributor.authorAlonso Villanueva, Ibon ORCID
dc.date.accessioned2024-02-06T16:12:33Z
dc.date.available2024-02-06T16:12:33Z
dc.date.issued2020-04-09
dc.identifier.citationOptics & Laser Technology 129 : (2020) // Article ID 106240es_ES
dc.identifier.issn0030-3992
dc.identifier.issn1879-2545
dc.identifier.urihttp://hdl.handle.net/10810/64688
dc.description.abstractIn this work we study the walk-off of the beam from the interrogation spot during rotation in surface plasmon resonance experiments using prism-based coupling such as the widespread Kretschmann configuration. The impossibility of maintaining a stationary footprint on the sensing surface with a fixed rotation axis can be of high importance. This would be specially so if samples are not homogeneous such as in arrays for multiplexing. By theoretically analyzing the behavior of the walk-off during rotation around an arbitrary fixed axis, we find an optimal and simple configuration to minimize this effect. The proposed setup is experimentally tested to verify the results and to show its ease of implementation. Interestingly, the conclusions reached may also be applied to other techniques employing reflection prisms.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleOptimized sample addressing in prism-coupled surface plasmon resonance experimentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2020 Elsevier Ltd. under CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)es_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0030399219313465es_ES
dc.identifier.doi10.1016/j.optlastec.2020.106240
dc.departamentoesFísicaes_ES
dc.departamentoeuMateria kondentsatuaren fisikaes_ES


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© 2020 Elsevier Ltd. under CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Except where otherwise noted, this item's license is described as © 2020 Elsevier Ltd. under CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)