Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses

2025 JOURNAL IRIS

Autori: DIGITAL DISCOVERY, Cancelliere R., Molinara M., Licheri A., Maffucci A., Micheli L., CUP H53D23000520006

Abstract

This research utilises Artificial Intelligence (AI) to enhance electrochemical peak resolution and lower detection limits in voltammetric analysis, focusing on complex, multiplex real matrices analyses. The study investigated the quinone family, hydroquinone, benzoquinone, and catechol analysed individually and in mixtures using cyclic and squarewave voltammetry. The ferrocyanide/ferricyanide redox couple was included as a standard redox probe to provide a reference for method validation.

BibTeX

@article{digitaldiscovery2025artificial,
  title={Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses},
  author={DIGITAL DISCOVERY and Cancelliere R. and Molinara M. and Licheri A. and Maffucci A. and Micheli L. and CUP H53D23000520006},
  year={2025},
  doi={10.1039/d4dd00318g}
}

Links

Sorgente istituzionale: IRIS/CINECA

Aggiornato: 23/09/2026 22:33