COVID-19 detection via isobutyric acid biomarker: A DFT computational study on beryllium-doped C60 fullerene

Stève Jonathan Koyambo-Konzapa, Ali Oubella, Ali Altharawi, Taibah Aldakhil

Research output: Contribution to journalArticlepeer-review

Abstract

The COVID-19 pandemic has underscored the urgent need for rapid, accurate, and non-invasive diagnostic methods. This study explores the potential of beryllium-doped C60 fullerene as a sensor for detecting COVID-19 via isobutyric acid (ISO-But), a biomarker found in the breath of infected individuals. By employing Density Functional Theory (DFT), we analyze the electronic and structural properties of pristine and metal-doped C60 fullerenes (Beryllium (Be) and Calcium (Ca)), focusing on their interactions with isobutyric acid. Our findings reveal that BeC59, combined with isobutyric acid, displays a colorimetric response within the visible spectrum, indicating its suitability for point-of-care diagnostics. With rapid recovery and strong interaction properties, this sensor design promises to advance non-invasive COVID-19 detection, making it accessible and feasible for real-time applications.

Original languageEnglish
Article number108987
JournalJournal of Molecular Graphics and Modelling
Volume137
DOIs
StatePublished - Jun 2025

Keywords

  • C fullerene
  • COVID-19
  • Colorimetric sensor
  • Density functional theory (DFT)
  • Isobutyric acid

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