Widefield SERS for High-Throughput Nanoparticle Screening

Matz Liebel, Irene Calderon, Nicolas Pazos-Perez, Niek F. van Hulst, Ramon A. Alvarez-Puebla

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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 to directly quantify the fraction of SERS-active particles which allows for an unprecedented correlation of SERS activity with particle size.
Original languageEnglish
Article numbere202200072
JournalAngewandte Chemie - International Edition
Volume61
Issue number20
DOIs
Publication statusPublished - 9 May 2022
Externally publishedYes

Funding

M.L. and N.F.v.H. acknowledge support by the Ministry of Science, Innovation, and Universities (MCIU: RTI2018-099957-J-I00 and PGC2018-096875-B-I00). N.F.v.H. acknowledges the financial support by the European Commission (ERC Advanced Grant 670949-LightNet) and the Catalan AGAUR (2017SGR1369). This work was partially funded by CEX2019-000910-S [MCIN/ AEI/10.13039/501100011033], Fundació Privada Cellex, Fundació Privada Mir-Puig, and Generalitat de Catalunya through the CERCA program. I.C, N.P.P. and R.A.A.P. acknowledge support by the Ministry of Science, Innovation, and Universities/AEI (PID2020-120306RB-I00), Ministry of Science, Innovation, and Universities/ European Union Next Generation/PRTR (PDC2021-121787-I00), the Catalan AGAUR (2017SGR883), and the Universitat Rovira i Virgili (2021PFR-URV-B2-02). M.L. and N.F.v.H. acknowledge support by the Ministry of Science, Innovation, and Universities (MCIU: RTI2018‐099957‐J‐I00 and PGC2018‐096875‐B‐I00). N.F.v.H. acknowledges the financial support by the European Commission (ERC Advanced Grant 670949‐LightNet) and the Catalan AGAUR (2017SGR1369). This work was partially funded by CEX2019‐000910‐S [MCIN/ AEI/10.13039/501100011033], Fundació Privada Cellex, Fundació Privada Mir‐Puig, and Generalitat de Catalunya through the CERCA program. I.C, N.P.P. and R.A.A.P. acknowledge support by the Ministry of Science, Innovation, and Universities/AEI (PID2020‐120306RB‐I00), Ministry of Science, Innovation, and Universities/ European Union Next Generation/PRTR (PDC2021‐121787‐I00), the Catalan AGAUR (2017SGR883), and the Universitat Rovira i Virgili (2021PFR‐URV‐B2‐02).

FundersFunder number
European Union Next Generation/PRTRPDC2021‐121787‐I00, 2017SGR883
Fundació Privada Mir‐Puig
Fundación Cellex
Horizon 2020 Framework Programme670949
Ministerio de Ciencia, Innovación y UniversidadesRTI2018‐099957‐J‐I00, PGC2018‐096875‐B‐I00
European Commission
European Research Council
Generalitat de CatalunyaPID2020‐120306RB‐I00
Agència de Gestió d'Ajuts Universitaris i de Recerca2017SGR1369, MCIN/ AEI/10.13039/501100011033
Ministerio de Ciencia e Innovación
Universitat Rovira i Virgili2021PFR‐URV‐B2‐02
FUNDACIÓ Privada MIR-PUIG

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