Deep Learning-Enhanced Potentiometric Aptasensing with Magneto-Controlled Sensors.

Researchers

Journal

Modalities

Models

Abstract

Bioelectronic sensors that report charge changes of a biomolecule on target binding enable direct and sensitive analyte detection, but remains a big challenge for potentiometric measurement, mainly due to the Debye Length limitations and the need for molecular-level platforms. Here we report on a magneto-controlled potentiometric method to directly and sensitively measure the target-binding induced charge change of DNA aptamer assembled on magnetic beads using a polymeric membrane potentiometric ion sensor. The potentiometric responses of the negatively charged aptamer, serving as a receptor and reporter, were dynamically controlled and modulated by applying a magnetic field. Based on a potentiometric array, this non-equilibrium measurement technique combined with deep learning algorithms allows for rapidly and reliably classifying and quantifying diverse small molecules using antibiotics as models. This potentiometric strategy opens new modalities for sensing applications.© 2022 Wiley-VCH GmbH.