Mo-BBS-03 - Reliable Cell Concentration Prediction Using a Temperature-Compensated Four-Electrode Impedance Sensor with Machine Learning

Event

EUROSENSORS 2026
2026-09-06 - 2026-09-09
Zurich

Band

Poster

Chapter

Biosensors/-electronics And Biomimetic Sensors

Author(s)

X. Huo, L. Pan, D. Han, Y. Niu, J. Wang, J. Chen - Chinese Academy of Sciences,Beijing (China)

Pages

340 - 341

DOI

10.5162/eurosensors2026/Mo-BBS-03

ISBN

978-3-910600-12-6

Price

free

Abstract

This work presents a compact PCB-based four-electrode impedance sensor for reliable live-cell concentration prediction under electrode polarization and temperature drift. The four-electrode configuration suppresses double-layer capacitance, while temperature compensation stabilizes impedance features. Based on compensated spectra, machine learning enables robust prediction under small-sample conditions. Experiments demonstrate improved stability and accurate prediction, with LASSO achieving the best performance, showing the system’s potential for broader biosensing applications.