Engineering Electromagnetic Hot-Spots in Nanoparticle Cluster Arrays on Reflective Substrates for Highly Sensitive Detection of (Bio)molecular Analytes [* Cross-Reference *]

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Rishabh Rastogi; Ekoue A. Dogbe Foli; Rémi Vincent; Pierre‐Michel Adam; Sivashankar Krishnamoorthy, 2026, "Engineering Electromagnetic Hot-Spots in Nanoparticle Cluster Arrays on Reflective Substrates for Highly Sensitive Detection of (Bio)molecular Analytes [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.ASORMN, LIST Open Repository, V1
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Description
Intense electromagnetic (EM) hot-spots arising at the junctions or gaps in plasmonic nanoparticle assemblies can drive ultrahigh sensitivity in molecular detection by surface-enhanced spectroscopies. Harnessing this potential however requires access to the confined physical space at the EM hot-spots, which is a challenge for larger analytes such as biomolecules. Here, we demonstrate self-assembly derived gold nanoparticle cluster arrays (NCAs) on gold substrates exhibiting controlled interparticle (<1 nm wide) and intercluster (<10 nm wide) hot-spots as highly promising in this direction. Sensitivity of the NCAs toward detection of small (<1 nm) or large (protein-receptor interactions) analytes in surface-enhanced Raman and metal-enhanced fluorescence assays is found to be strongly impacted by the size of the cluster and the presence of reflective substrates. Experiments supported by numerical simulations attribute the higher sensitivity to higher EM field enhancements at the hot-spots, as well as greater analyte leverage over EM hot-spots. The best-performing arrays could push the sensitivity down to picomolar detection limits for sub-nanometric organic analytes as well as large protein analytes. The investigation paves the way for rational design of plasmonic biosensors and highlights the unique capabilities of a molecular self-assembly approach toward catering to this objective. (2021-07-09)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.1021/acsami.1c01953 for the original and latest version of the publication*** (2026-07-01)
Subject Chemistry; Engineering; Medicine, Health and Life Sciences; Physics
Keyword Materials science, Nanotechnology, Analyte, Plasmon, Biosensor, Hot spot (computer programming), Nanoparticle, Biomolecule, Cluster (spacecraft), Optoelectronics, Chemistry
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