Gili Bisker

Congratulations to Zuckerman Faculty Scholar Gili Bisker, Associate Professor of Biomedical Engineering at Tel Aviv University’s Fleischman Faculty of Engineering, and Head of the Marian Gertner Institute for Medical Nanosystems, on the publication of Metal-Ion Optical Fingerprinting Sensor Selection via an Analyte Classification and Feature Selection Algorithm, which was featured on the March 2025 cover of Analytical Chemistry.

Abstract:
Accurate analyte classification remains a significant challenge in sensor technologies. We present the Analyte Classification and Feature Selection Algorithm (ACFSA), a computational tool designed to identify optimal sensor combinations from unique fingerprint patterns for analyte classification. We applied the ACFSA to a library of peptide-corona-functionalized single-walled carbon nanotubes (SWCNTs), developed as a near-infrared fluorescent, semiselective fingerprinting sensor set for detecting heavy metal ions. Inspired by natural metal-ion complexation sites, each SWCNT sensor in this library features a unique peptide sequence containing various amino acids for metal binding, revealing diverse optical response patterns to the various metal ions tested.