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

Marli L. Moraes, Laís Petri, Victor Oliveira, Clarissa A. Olivati, Maria Cristina F. De Oliveira, Fernando V. Paulovich, Osvaldo N. Oliveira, Marystela Ferreira

Research output: Contribution to journalArticleAcademicpeer-review

20 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)231-238
Number of pages8
JournalSensors and Actuators, B: Chemical
Volume166-167
DOIs
Publication statusPublished - 20 May 2012

Bibliographical note

Funding Information:
This work was supported by FAPESP , CNPq , Capes and rede nBioNet . We also thank LNLS (Brazil) for providing interdigitated electrodes (project LMF 11325).

Funding

This work was supported by FAPESP , CNPq , Capes and rede nBioNet . We also thank LNLS (Brazil) for providing interdigitated electrodes (project LMF 11325).

Keywords

  • Biosensor
  • Glucose oxidase
  • Information visualization
  • Lipase
  • Multidimensional projection
  • Nanostructured film

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