Widefield SERS for High-Throughput Nanoparticle Screening
Surface-enhanced Raman scattering (SERS) imaging is a powerful technology with unprecedent potential for ultrasensitive chemical analysis. Point-by-point scanning and often excessively long spectral acquisition-times hamper the broad exploitation of the full analytical potential of SERS. Here, we in...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/361685 |
| Acceso en línea: | https://hdl.handle.net/2117/361685 https://dx.doi.org/10.1002/anie.202200072 |
| Access Level: | acceso abierto |
| Palabra clave: | Raman spectroscopy nanoparticles Espectroscòpia Raman Àrees temàtiques de la UPC::Física |
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Widefield SERS for High-Throughput Nanoparticle ScreeningLiebel, MatzCalderon, IrenePazos-Perez, NicolasHulst, Niek vanAlvarez-Puebla, Ramon ARaman spectroscopynanoparticlesEspectroscòpia RamanÀrees temàtiques de la UPC::FísicaSurface-enhanced Raman scattering (SERS) imaging is a powerful technology with unprecedent potential for ultrasensitive chemical analysis. Point-by-point scanning and often excessively long spectral acquisition-times hamper the broad exploitation of the full analytical potential of SERS. Here, we introduce large scale SERS particle screening (LSSPS), a multiplexed widefield screening approach to particle-characterization, which is 500-1000 times faster than typical confocal Raman implementations. Beyond its higher throughput, LSSPS simultaneously quantifies both the sample’s Raman and Rayleigh scattering, allowing for an unprecedented correlation of SERS activity with the particle-size and to directly quantify the fraction of SERS active particles.Peer ReviewedWiley20222022-02-0220222022-02-04journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/361685https://dx.doi.org/10.1002/anie.202200072reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-099957-J-I00 VISUALIZACION EN 3D DE PROCESOS DINAMICOS EN CELULAS VIVASEuropean Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 670949 LightNetAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-120306RB-I00 INTEGRAL STAGING, PROGNOSTIC AND DIAGNOSTIC OF CANCER IN LIQUID SAMPLES THROUGH OPTICAL METHODSopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 3.0 Spainhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3616852026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Widefield SERS for High-Throughput Nanoparticle Screening |
| title |
Widefield SERS for High-Throughput Nanoparticle Screening |
| spellingShingle |
Widefield SERS for High-Throughput Nanoparticle Screening Liebel, Matz Raman spectroscopy nanoparticles Espectroscòpia Raman Àrees temàtiques de la UPC::Física |
| title_short |
Widefield SERS for High-Throughput Nanoparticle Screening |
| title_full |
Widefield SERS for High-Throughput Nanoparticle Screening |
| title_fullStr |
Widefield SERS for High-Throughput Nanoparticle Screening |
| title_full_unstemmed |
Widefield SERS for High-Throughput Nanoparticle Screening |
| title_sort |
Widefield SERS for High-Throughput Nanoparticle Screening |
| dc.creator.none.fl_str_mv |
Liebel, Matz Calderon, Irene Pazos-Perez, Nicolas Hulst, Niek van Alvarez-Puebla, Ramon A |
| author |
Liebel, Matz |
| author_facet |
Liebel, Matz Calderon, Irene Pazos-Perez, Nicolas Hulst, Niek van Alvarez-Puebla, Ramon A |
| author_role |
author |
| author2 |
Calderon, Irene Pazos-Perez, Nicolas Hulst, Niek van Alvarez-Puebla, Ramon A |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Raman spectroscopy nanoparticles Espectroscòpia Raman Àrees temàtiques de la UPC::Física |
| topic |
Raman spectroscopy nanoparticles Espectroscòpia Raman Àrees temàtiques de la UPC::Física |
| description |
Surface-enhanced Raman scattering (SERS) imaging is a powerful technology with unprecedent potential for ultrasensitive chemical analysis. Point-by-point scanning and often excessively long spectral acquisition-times hamper the broad exploitation of the full analytical potential of SERS. Here, we introduce large scale SERS particle screening (LSSPS), a multiplexed widefield screening approach to particle-characterization, which is 500-1000 times faster than typical confocal Raman implementations. Beyond its higher throughput, LSSPS simultaneously quantifies both the sample’s Raman and Rayleigh scattering, allowing for an unprecedented correlation of SERS activity with the particle-size and to directly quantify the fraction of SERS active particles. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2022-02-02 2022 2022-02-04 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 AM http://purl.org/coar/version/c_ab4af688f83e57aa |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/361685 https://dx.doi.org/10.1002/anie.202200072 |
| url |
https://hdl.handle.net/2117/361685 https://dx.doi.org/10.1002/anie.202200072 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-099957-J-I00 VISUALIZACION EN 3D DE PROCESOS DINAMICOS EN CELULAS VIVAS European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 670949 LightNet Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-120306RB-I00 INTEGRAL STAGING, PROGNOSTIC AND DIAGNOSTIC OF CANCER IN LIQUID SAMPLES THROUGH OPTICAL METHODS |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution 3.0 Spain http://creativecommons.org/licenses/by/3.0/es/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Wiley |
| publisher.none.fl_str_mv |
Wiley |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
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UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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