Tuning plasmons layer-by-layer for quantitative colloidal sensing with surface-enhanced Raman spectroscopy
Tuning plasmons layer-by-layer for quantitative colloidal sensing with surface-enhanced Raman spectroscopy
Surface-enhanced Raman spectroscopy (SERS) is well known for its high sensitivity that emerges due to the plasmonic enhancement of electric fields typically on gold and silver nanostructures. However, difficulties associated with the preparation of nanostructured substrates with uniform and reproducible features limit reliability and quantitation using SERS measurements. In this work we use layer-by-layer (LbL) self-assembly to incorporate multiple functional building blocks of collaborative assemblies of nanoparticles on colloidal spheres to fabricate SERS sensors. Gold nanoparticles (AuNPs) are packaged in discrete layers, effectively ‘freezing nano-gaps’, on spherical colloidal cores to achieve multifunctionality and reproducible sensing. Coupling between layers tunes the plasmon resonance for optimum SERS signal generation to achieve a 10 nM limit of detection. Significantly, using the layer-by-layer construction, SERS-active AuNP layers are spaced out and thus optically isolated. This uniquely allows the creation of an internal standard within each colloidal sensor to enable highly reproducible self-calibrated sensing. By using 4-mercaptobenzoic acid (4-MBA) as the internal standard adenine concentrations are quantified to an accuracy of 92.6–99.5%. Our versatile approach paves the way for rationally designed yet quantitative colloidal SERS sensors and their use in a variety of sensing applications.
Anderson, William
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Nowinska, Kamila
307ded62-16b4-44d8-ac60-a28ba4cb7898
Hutter, Tanya
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Mahajan, Sumeet
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Fischlechner, Martin
b3930129-0775-4c05-81c7-475934df97ee
Anderson, William
37b498fd-1019-472c-a88e-2572d569780c
Nowinska, Kamila
307ded62-16b4-44d8-ac60-a28ba4cb7898
Hutter, Tanya
b9494787-9ae0-4887-b4ee-dbe0a0b774b1
Mahajan, Sumeet
b131f40a-479e-4432-b662-19d60d4069e9
Fischlechner, Martin
b3930129-0775-4c05-81c7-475934df97ee
Anderson, William, Nowinska, Kamila, Hutter, Tanya, Mahajan, Sumeet and Fischlechner, Martin
(2018)
Tuning plasmons layer-by-layer for quantitative colloidal sensing with surface-enhanced Raman spectroscopy.
Nanoscale.
(doi:10.1039/C7NR06656B).
Abstract
Surface-enhanced Raman spectroscopy (SERS) is well known for its high sensitivity that emerges due to the plasmonic enhancement of electric fields typically on gold and silver nanostructures. However, difficulties associated with the preparation of nanostructured substrates with uniform and reproducible features limit reliability and quantitation using SERS measurements. In this work we use layer-by-layer (LbL) self-assembly to incorporate multiple functional building blocks of collaborative assemblies of nanoparticles on colloidal spheres to fabricate SERS sensors. Gold nanoparticles (AuNPs) are packaged in discrete layers, effectively ‘freezing nano-gaps’, on spherical colloidal cores to achieve multifunctionality and reproducible sensing. Coupling between layers tunes the plasmon resonance for optimum SERS signal generation to achieve a 10 nM limit of detection. Significantly, using the layer-by-layer construction, SERS-active AuNP layers are spaced out and thus optically isolated. This uniquely allows the creation of an internal standard within each colloidal sensor to enable highly reproducible self-calibrated sensing. By using 4-mercaptobenzoic acid (4-MBA) as the internal standard adenine concentrations are quantified to an accuracy of 92.6–99.5%. Our versatile approach paves the way for rationally designed yet quantitative colloidal SERS sensors and their use in a variety of sensing applications.
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Anderson et al Nanoscale revised accepted
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Anderson et al Nanoscale revised SI
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Accepted/In Press date: 21 March 2018
e-pub ahead of print date: 22 March 2018
Identifiers
Local EPrints ID: 419348
URI: http://eprints.soton.ac.uk/id/eprint/419348
ISSN: 2040-3364
PURE UUID: fd390209-2709-40dd-99c2-5d2a2cc66b5b
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Date deposited: 11 Apr 2018 16:30
Last modified: 16 Mar 2024 06:27
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Author:
William Anderson
Author:
Kamila Nowinska
Author:
Tanya Hutter
Author:
Martin Fischlechner
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