Detection of trace levels of atrazine using surface-enhanced Raman scattering and information visualization


Autoria(s): Rubira, Rafael J. G.; Camacho, Sabrina A.; Aoki, Pedro H. B.; Maximino, Mateus D.; Alessio, Priscila; Martin, Cibely S.; Oliveira, Osvaldo N.; Fatore, Francisco M.; Paulovich, Fernando V.; Constantino, Carlos J. L.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

18/03/2015

18/03/2015

01/11/2014

Resumo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

The detection of trace amounts of pesticides is essential for the quality control of waters, particularly with their inevitable increasing use with the growing demand for food. In this study, we report on the detection of atrazine, a highly toxic herbicide, down to 5x10(-12) M, which is sufficient to monitor the quality of drinking water even according to the most stringent international regulations. Such detection was performed with surface-enhanced Raman scattering (SERS) in atrazine incorporated into silver nanoparticles (AgNPs) colloids, with the SERS spectra being treated with Sammon's mapping, an information visualization technique. In addition to providing a fingerprint of the atrazine molecules, SERS is advantageous in comparison with impedance spectroscopy and cyclic voltammetry applied to a sensor array of units made with layer-by-layer (LbL) films containing AgNPs and AuNPs. The combined use of SERS and information visualization methods is promising for monitoring water quality with regard to other pesticides, which may even approach single molecule detection.

Formato

2811-2820

Identificador

http://dx.doi.org/10.1007/s00396-014-3332-7

Colloid And Polymer Science. New York: Springer, v. 292, n. 11, p. 2811-2820, 2014.

0303-402X

http://hdl.handle.net/11449/116262

10.1007/s00396-014-3332-7

WOS:000343910100007

Idioma(s)

eng

Publicador

Springer

Relação

Colloid And Polymer Science

Direitos

closedAccess

Palavras-Chave #Pollutant #Atrazine #SERS #Sensor array #Information visualization
Tipo

info:eu-repo/semantics/article