Development of an internet of things based electrochemical microfluidic system for free calcium detection

Yang Yuan, Shilun Feng, Md Eshrat E. Alahi, Anindya Nag, Nasrin Afsarimanesh, Hong Zhang, Shan He*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
26 Downloads (Pure)


This paper represents the design, fabrication, and implementation of an Internet of Things (IoT)-based electrochemical microfluidic system for free calcium concentration detection with a 3D printing technique. Free calcium solutions with desired concentrations between 0 and 40 μM can be obtained. The solutions were used to calibrate the system by using an impedance analyzer for monitoring the impedance change to determine the operating frequency. Continuously, an IoT enabled point of care device was used for real-time detection and to send signals to the cloud for sharing. The relationship between the concentration and reactance are y = -1.3812Lgx + 0.9809 at a wavelength of 450 Hz, with an R2 of 0.9719. We measured the calcium concentration changing from 39.8 μM to 1.35 μM (nearly real-time) by the PoC device and showed the concentration changes resulting with time on the cell phone app. The results depicted in this paper provide a strong platform for the precise and real-time monitoring of different biomedical samples.

Original languageEnglish
Article number1357
Pages (from-to)1-15
Number of pages15
JournalApplied Sciences
Issue number8
Publication statusPublished - 13 Aug 2018

Bibliographical note

Copyright the Author(s) 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • Point-of-Care (PoC) testing
  • 3D printing
  • interdigital electrodes
  • calcium
  • Internet of Things (IoT)


Dive into the research topics of 'Development of an internet of things based electrochemical microfluidic system for free calcium detection'. Together they form a unique fingerprint.

Cite this