Detection of glucose and triglycerides using information visualization methods to process impedance spectroscopy data


Autoria(s): Moraes, Mark L.; Petri, Lais; Oliveira, Victor; Olivati, Clarissa A.; de Oliveira, Maria Cristina F.; Paulovich, Fernando V.; Oliveira, Osvaldo N.; Ferreira, Marystela
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

20/05/2012

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)

In this paper we discuss the detection of glucose and triglycerides using information visualization methods to process impedance spectroscopy data. The sensing units contained either lipase or glucose oxidase immobilized in layer-by-layer (LbL) films deposited onto interdigitated electrodes. The optimization consisted in identifying which part of the electrical response and combination of sensing units yielded the best distinguishing ability. It is shown that complete separation can be obtained for a range of concentrations of glucose and triglyceride when the interactive document map (IDMAP) technique is used to project the data into a two-dimensional plot. Most importantly, the optimization procedure can be extended to other types of biosensors, thus increasing the versatility of analysis provided by tailored molecular architectures exploited with various detection principles. (C) 2012 Elsevier B.V. All rights reserved.

Formato

231-238

Identificador

http://dx.doi.org/10.1016/j.snb.2012.02.046

Sensors and Actuators B-chemical. Lausanne: Elsevier B.V. Sa, v. 166, p. 231-238, 2012.

0925-4005

http://hdl.handle.net/11449/6902

10.1016/j.snb.2012.02.046

WOS:000305356900034

Idioma(s)

eng

Publicador

Elsevier B.V. Sa

Relação

Sensors and Actuators B: Chemical

Direitos

closedAccess

Palavras-Chave #Nanostructured film #Biosensor #Information visualization #Multidimensional projection #Lipase #Glucose oxidase
Tipo

info:eu-repo/semantics/article