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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

The Plasmonic Effect of Gold Nanorods on Charged Molecules: SERRS and SEF effects

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Author(s):
Oliveira, Tatiana Aparecida [1] ; Goncalves Rubira, Rafael Jesus [1] ; Martin, Cibely da Silva [1] ; de Barros, Anerise [1, 2] ; Mazali, Italo Odone [2] ; Leopoldo Constantino, Carlos Jose [1]
Total Authors: 6
Affiliation:
[1] Univ Estadual Paulista UNESP, Fac Ciencias & Tecnol, Dept Fis, BR-19060900 Presidente Prudente, SP - Brazil
[2] Univ Estadual Campinas UNICAMP), Inst Quim, Lab Mat Funcionais, BR-13083970 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: MATERIALS RESEARCH-IBERO-AMERICAN JOURNAL OF MATERIALS; v. 24, n. 1 2021.
Web of Science Citations: 0
Abstract

Target molecules adsorbed onto metallic nanoparticles can have their Raman and/or fluorescence signals enhanced, leading to the called surface-enhanced {[}resonance] Raman scattering (SE{[}R]RS) or surface-enhanced fluorescence (SEF). Here we have applied Au nanorods (AuNRs) coated with a surfactant bilayer leading to a positive surface charge to investigate the role played by these AuNRs in colloidal suspension on SERRS and SEF effects of charged molecules. In the case of the anionic nickel (II) tetrasulfonated phthalocyanine (NiTsPc), besides achieving SERRS with an enhancement factor (EF) of ca. 10(5), the AuNRs allowed the analytical application of the SERRS effect for the NiTsPc between 8.3x10(-6) and 4.0x10(-5) mol L-1. The limit of detection of 4.8x10(-7) mol L-1 (at 752 cm(-1)) and 1.3x10(-6) mol L-1 (at 1338 cm(-1)) was found. In the case of the cationic methylene blue, the SEF effect was achieved reaching an EF of ca. 10. Besides, fundamental discussions are carried out considering the results presented here. (AU)

FAPESP's process: 18/22214-6 - Towards a convergence of technologies: from sensing and biosensing to information visualization and machine learning for data analysis in clinical diagnosis
Grantee:Osvaldo Novais de Oliveira Junior
Support Opportunities: Research Projects - Thematic Grants