6.3.5 - Multidimensional Force Estimation in Laparoscopic Instruments with a CMOS-Based Force Sensor Chip

Event

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

Band

Lectures

Chapter

Signal Analysis, Machine Learning and Artificial Intelligence for Sensing

Author(s)

T. Hehn, B. Folkmer, R. Nouna, S. Knappmann, O. Amft - Hahn-Schickard,Villingen-Schwenningen (Germany), W. Kunert, S. Axt - Universitätsklinikum Tübingen,Tübingen (Germany), J. Rolinger, A. Brodbeck - Erbe Elektromedizin GmbH,Tübingen (Germany)

Pages

217 - 219

DOI

10.5162/eurosensors2026/6.3.5

ISBN

978-3-910600-12-6

Price

free

Abstract

Perfluorooctanoic acid (PFOA) is commonly used as a marker of per- and polyfluoroalkyl substances (PFAS) contamination in aqueous environments due to its persistence and widespread occurrence. This work explores electrochemical approaches for PFOA monitoring, combining interfacial studies at electrode surfaces with the development of selective sensing materials. Molecularly imprinted polymers (MIPs) are investigated as recognition elements, while complementary electrochemical analyses are performed to identify suitable transduction mechanisms.