Feasibility in the development of a multi-marker detection platform

Chi Lin, Lindsey Ryder, David Probst, Michael Caplan, Mark Spano, Jeffrey LaBelle

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

A feasibility study for a label-free, multi-marker single sensor using electrochemical impedance spectroscopy (EIS), imaginary impedance, and a signal decoupling technique is reported. To our knowledge, this is the first reported attempt of using imaginary impedance for biomarker detection and multi-marker detection. The electrochemical responses of purified low and high density lipoproteins (LDL and HDL, respectively) were first individually characterized through the immobilization of their molecular recognition elements (MREs) onto gold disk electrodes (GDEs). The co-immobilization was performed by immobilizing the MREs of both LDL and HDL on the same GDE, which was then used to detect LDL and HDL simultaneously in mixed solution. Previous individual purified responses were then used to de-convolute the mixed response, when the two biomarkers were detected in mixed solutions. The optimal frequencies of LDL and HDL were found to be 81.38 Hz and 5.49 Hz, respectively, which shifted to 175.8 Hz and 3.74 Hz under co-immobilized conditions. After comparing the electrochemical signal in complex and imaginary impedance, imaginary impedance was found to be more suitable for multi-marker detection purposes. Since imaginary impedance is related to capacitance, electric displacement, relative permittivity, and effective capacitance were derived to elucidate the theory of optimal frequency. This work shows that EIS has the potential for multi-marker detection and can be extended to monitor other complex diseases such as diabetes mellitus for better management and diagnostic purposes.

Original languageEnglish (US)
Pages (from-to)743-749
Number of pages7
JournalBiosensors and Bioelectronics
Volume89
DOIs
StatePublished - Mar 15 2017

Keywords

  • Cardiovascular disease
  • Electrochemical impedance spectroscopy
  • Imaginary impedance
  • Label free detection
  • Multi-marker detection
  • New method

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

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  • Cite this

    Lin, C., Ryder, L., Probst, D., Caplan, M., Spano, M., & LaBelle, J. (2017). Feasibility in the development of a multi-marker detection platform. Biosensors and Bioelectronics, 89, 743-749. https://doi.org/10.1016/j.bios.2016.10.073