Dual-mode urinalysis chip by using electrochemical impedance spectroscopy

Tse An Chen, Chia-Ling Wei, Tin Hao Liu, Ren Yi Lin, Bin-Da Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A novel dual-mode ac signal processing integrated chip for urinalysis is proposed. Electrochemical impedance spectroscopy (EIS) analysis method is adopted in this chip. Compared with other electrochemical detection methods such as cyclic voltammetry (CV), the EIS required detection time is shorter. In addition, its circuits can be directly and effectively integrated into a chip, because the input, output, and measured signals are all electrical signals. The presented chip consists of the entire front-end input processing circuits and the sensing circuits of the bio-sample detection system. The input signal can be converted into either constant current or voltage ac signals for measuring the impedance of bio-sample. The magnitude and phase signals are measured to detect the concentration or other characteristics of the targeted bio-molecular.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
Pages268-271
Number of pages4
DOIs
Publication statusPublished - 2011 Dec 1
Event2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011 - Wuhan, Hubei, China
Duration: 2011 Dec 142011 Dec 17

Publication series

NameProceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

Other

Other2011 IEEE International conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011
CountryChina
CityWuhan, Hubei
Period11-12-1411-12-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Biomedical Engineering

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  • Cite this

    Chen, T. A., Wei, C-L., Liu, T. H., Lin, R. Y., & Liu, B-D. (2011). Dual-mode urinalysis chip by using electrochemical impedance spectroscopy. In Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011 (pp. 268-271). [6131760] (Proceedings - 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011). https://doi.org/10.1109/ICBMI.2011.55