Designing silver nanoparticles for detecting levodopa (3,4-dihydroxyphenylalanine, l-dopa) using surface-enhanced raman scattering (SERS)
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2020-01-01
Autores
Rubira, Rafael Jesus Gonçalves [UNESP]
Camacho, Sabrina Alessio [UNESP]
Martin, Cibely Silva [UNESP]
Mejía-Salazar, Jorge Ricardo
Gómez, Faustino Reyes
da Silva, Robson Rosa
de Oliveira Junior, Osvaldo Novais
Alessio, Priscila [UNESP]
Constantino, Carlos José Leopoldo [UNESP]
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Resumo
Detection of the drug Levodopa (3,4-dihydroxyphenylalanine, L-Dopa) is essential for the medical treatment of several neural disorders, including Parkinson’s disease. In this paper, we employed surface-enhanced Raman scattering (SERS) with three shapes of silver nanoparticles (nanostars, AgNS; nanospheres, AgNP; and nanoplates, AgNPL) to detect L-Dopa in the nanoparticle dispersions. The sensitivity of the L-Dopa SERS signal depended on both nanoparticle shape and L-Dopa concentration. The adsorption mechanisms of L-Dopa on the nanoparticles inferred from a detailed analysis of the Raman spectra allowed us to determine the chemical groups involved. For instance, at concentrations below/equivalent to the limit found in human plasma (between 10−7–10−8 mol/L), L-Dopa adsorbs on AgNP through its ring, while at 10−5–10−6 mol/L adsorption is driven by the amino group. At even higher concentrations, above 10−4 mol/L, L-Dopa polymerization predominates. Therefore, our results show that adsorption depends on both the type of Ag nanoparticles (shape and chemical groups surrounding the Ag surface) and the L-Dopa concentration. The overall strategy based on SERS is a step forward to the design of nanostructures to detect analytes of clinical interest with high specificity and at varied concentration ranges.
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Ag nanoparticles, L-Dopa, Multidimensional projections, SERS
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Sensors (Switzerland), v. 20, n. 1, 2020.