Scientific article
Open access

Self-Powered Potentiometric Sensors with Memory

Published inACS sensors, vol. 6, no. 10, p. 3650-3656
Publication date2021-09-28
First online date2021-09-28

Potentiometric sensors induce a spontaneous voltage that indicates ion activity in real time. We present here an advanced self-powered potentiometric sensor with memory. Specifically, the approach allows for one to record a deviation from the analyte’s original concentration or determine whether the analyte concentration has surpassed a threshold in a predefined time interval. The sensor achieves this by harvesting energy in a capacitor and preserving it with the help of a diode. While the analyte concentration is allowed to return to an original value following a perturbation over time, this may not influence the sensor readout. To achieve the diode function, the sensor utilizes an additional pair of driving electrodes to move the potentiometric signal to a sufficiently high base voltage that is required for operating the diode placed in series with the capacitor and between the sensing probes. A single voltage measurement across the capacitor at the end of a chosen time interval is sufficient to reveal any altered ion activity occurring during that period. We demonstrate the applicability of the sensor to identify incurred pH changes in a river water sample during an interval of 2 h. This approach is promising for achieving deployable sensors to monitor ion activity relative to a defined threshold during a time interval with minimal electronic components in a self-powered design.

  • Capacitor
  • Diode
  • Ions
  • Memory
  • PH sensor
  • Self-powered sensor
Research group
  • European Commission - ACCIÓ programme to foster mobility of researchers with a focus in applied research and technology transfer [712949]
Citation (ISO format)
SAILAPU, Sunil Kumar, SABATÉ, Neus, BAKKER, Eric. Self-Powered Potentiometric Sensors with Memory. In: ACS sensors, 2021, vol. 6, n° 10, p. 3650–3656. doi: 10.1021/acssensors.1c01273
Main files (1)
Article (Published version)
ISSN of the journal2379-3694

Technical informations

Creation02/17/2022 1:54:00 PM
First validation02/17/2022 1:54:00 PM
Update time03/16/2023 10:29:48 AM
Status update03/16/2023 10:29:47 AM
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