Chapter Plasmonics in Sensing: From Colorimetry to SERS Analytics
dc.contributor.author | Kuttner, Christian | |
dc.date.accessioned | 2021-06-02T10:10:25Z | |
dc.date.available | 2021-06-02T10:10:25Z | |
dc.date.issued | 2018 | |
dc.identifier | ONIX_20210602_10.5772/intechopen.79055_358 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/49244 | |
dc.description.abstract | This chapter gives a brief overview of plasmonic nanoparticle (NP)-based sensing concepts ranging from classical spectral-shift colorimetry to the highly active field of surface-enhanced Raman scattering (SERS) spectroscopy. In the last two decades, colloidal approaches have developed significantly. This is seen with, for example, refractive-index sensing, detection of ad−/desorption and ligand-exchange processes, as well as ultrasensitive chemical sensing utilizing well-defined nanocrystals or discrete self-assembled superstructures in 2D and 3D. Apart from individual NPs, the rational design of self-assembled nanostructures grants spectroscopic access to unprecedented physicochemical information. This involves selected research examples on molecular trapping, ligand corona analysis, SERS-encoding, and biosensing. The origin of the SERS effect, also in regard to hot spot formation by off-resonant excitation, is reviewed and discussed in the context of the current challenge to formulate a generalized metric for high SERS efficiency. Special emphasis lies in addressing the fundamental design criteria and the specific challenges of these particle-based sensing techniques. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::P Mathematics and Science::PH Physics | en_US |
dc.subject.other | colorimetry, SERS, LSPR, colloidal sensors, optically functional materials, self-assembled nanostructures | |
dc.title | Chapter Plasmonics in Sensing: From Colorimetry to SERS Analytics | |
dc.type | chapter | |
oapen.identifier.doi | 10.5772/intechopen.79055 | |
oapen.relation.isPublishedBy | 09f6769d-48ed-467d-b150-4cf2680656a1 | |
oapen.relation.isFundedBy | H2020-MSCA-IF-2017 | |
oapen.grant.number | 799393 | |
oapen.grant.acronym | NANOBIOME |