2022
DOI: 10.1021/acs.jpcc.2c05007
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Concentration and Surface Chemistry Dependent Analyte Orientation on Nanoparticle Surfaces

Abstract: The development of surface-enhanced Raman spectroscopy (SERS)-based sensors necessitates a deeper understanding of the analyte–nanoparticle interaction. For optimal reliability, factors that may affect the resulting spectra need to be understood. First and foremost, the signal enhancement (and hence the improved sensitivity) offered by these systems highly relies on the localization of molecules or moieties in molecules as close as possible to the nanoparticle surface and decreases the farther a molecule is fr… Show more

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Cited by 7 publications
(8 citation statements)
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“…Thus, this experimental observation supported the fact that we have successfully prepared a plasmonic surface using gold nanoparticles-to-thiol ligand exchanges. Because the −SH groups have a strong binding affinity toward AuNPs, making them easily accessible for active plasmonic surfaces, these thiol terminal groups experience higher affinity than other functional groups available on the OSTE+ polymer surface. However, further, S 2p and S 2s energy states were analyzed from ranges between 190 and 168 eV to 222 and 234 eV to gain more profound information on the nature of bonds among nanoparticles and -SH groups (Figure b,c). This study revealed the types of chemical bonds that can exist between the immobilized nanoparticles and the functional polymer surfaces.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, this experimental observation supported the fact that we have successfully prepared a plasmonic surface using gold nanoparticles-to-thiol ligand exchanges. Because the −SH groups have a strong binding affinity toward AuNPs, making them easily accessible for active plasmonic surfaces, these thiol terminal groups experience higher affinity than other functional groups available on the OSTE+ polymer surface. However, further, S 2p and S 2s energy states were analyzed from ranges between 190 and 168 eV to 222 and 234 eV to gain more profound information on the nature of bonds among nanoparticles and -SH groups (Figure b,c). This study revealed the types of chemical bonds that can exist between the immobilized nanoparticles and the functional polymer surfaces.…”
Section: Resultsmentioning
confidence: 99%
“…5,6 Although adsorption of a self-assembly monolayer (SAM) of thiols on flat gold substrates and spherical nanoparticles has been comprehensively investigated, 7−13 the situation is much less clear for anisotropic particles such as nanostars. 14,15 It is known that thiol adsorption on gold surfaces is influenced by many factors, such as reaction media (including solvents, buffers, other analytes), thiol ligand chain size and functional groups (including charge), roughness of the gold surface, and the reversibility of adsorption of the thiol layer on gold films. 7−10 The concentration of thiols has been highlighted to be of particular importance.…”
Section: ■ Introductionmentioning
confidence: 99%
“…Developing quantitative characterization methods for understanding the structure and chemistry of organic/inorganic-nanoparticle interfaces is critical across many applications such as chemical catalysis, , biomedicine, , and electronics. , Although adsorption of a self-assembly monolayer (SAM) of thiols on flat gold substrates and spherical nanoparticles has been comprehensively investigated, the situation is much less clear for anisotropic particles such as nanostars. , …”
Section: Introductionmentioning
confidence: 99%
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“…9 Indeed, this work dissects the contributions of different phenomena to SERS (and ambient TERS) signal fluctuations, which continue to puzzle practitioners, even at this (late) stage of evolution of both techniques. 25,26 Equally interesting contributions analyzed ligand binding on silver nanoparticles, 27,28 a detailed understanding of which is a prerequisite to rationalizing the enhanced optical spectra and chemical properties of molecules on plasmonic nanostructures. Finally, both conventional and machine-learning-assisted analyses of nanoparticles and nanoparticle−cyanobacteria assemblies were described, 29 with a goal of interfacing advanced theoretical treatments with SERS to significantly broaden the application space of this powerful technique.…”
mentioning
confidence: 99%