• DocumentCode
    2715408
  • Title

    A highly-accurate low-power CMOS potentiostat for implantable biosensors

  • Author

    Razzaghpour, Milad ; Rodriguez, Saul ; Alarcon, Eduard ; Rusu, Ana

  • Author_Institution
    Sch. of ICT, R. Inst. of Tech. (KTH), Stockholm, Sweden
  • fYear
    2011
  • fDate
    10-12 Nov. 2011
  • Firstpage
    5
  • Lastpage
    8
  • Abstract
    Current-mirror-based potentiostats suffer from systematic and random errors causing offset, gain and linearity error in reading out the sensor data. In this work, a new potentiostat topology is proposed to eliminate the systematic error via an error-cancellation loop. The loop takes advantage of an error-tracking amplifier connected to a transimpedance amplifier with adjustable input common-mode voltage. Due to the enhanced loop gain, the potentiostat is able to accurately copy the sensor current which will then be converted into the proportional voltage. Additionally, a theoretical discussion of the proposed topology is given and a thorough study on the effect of random error sources is carried out. The potentiostat is designed and simulated in a 150nm CMOS process. The results verify a highly-linear highly-accurate performance in a low-noise condition, while consuming only 32 μW.
  • Keywords
    CMOS integrated circuits; biomedical electronics; biosensors; electrochemical sensors; low noise amplifiers; low-power electronics; adjustable input common-mode voltage; current-mirror-based potentiostats; electrochemical sensor; error cancellation loop; error-tracking amplifier; implantable biosensors; low-noise condition; low-power CMOS potentiostat; random error sources; size 150 nm; transimpedance amplifier; Accuracy; Biosensors; Electrodes; Gain; Linearity; Radio frequency; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2011 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4577-1469-6
  • Type

    conf

  • DOI
    10.1109/BioCAS.2011.6107713
  • Filename
    6107713