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Electrochemical and Optical Multi-Detection of Escherichia coli Through Magneto-Optic Nanoparticles: A Pencil-on-Paper Biosensor.
- Source :
-
Biosensors [Biosensors (Basel)] 2024 Dec 10; Vol. 14 (12). Date of Electronic Publication: 2024 Dec 10. - Publication Year :
- 2024
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Abstract
- Escherichia coli (E. coli) detection suffers from slow analysis time and high costs, along with the need for specificity. While state-of-the-art electrochemical biosensors are cost-efficient and easy to implement, their sensitivity and analysis time still require improvement. In this work, we present a paper-based electrochemical biosensor utilizing magnetic core-shell Fe <subscript>2</subscript> O <subscript>3</subscript> @CdSe/ZnS quantum dots (MQDs) to achieve fast detection, low cost, and high sensitivity. Using electrochemical impedance spectroscopy (EIS) as the detection technique, the biosensor achieved a limit of detection of 2.7 × 10 <superscript>2</superscript> CFU/mL for E. coli bacteria across a concentration range of 10 <superscript>2</superscript> -10 <superscript>8</superscript> CFU/mL, with a relative standard deviation (RSD) of 3.5781%. From an optical perspective, as E. coli concentration increased steadily from 10 <superscript>4</superscript> to 10 <superscript>7</superscript> CFU/mL, quantum dot fluorescence showed over 60% lifetime quenching. This hybrid biosensor thus provides rapid, highly sensitive E. coli detection with a fast analysis time of 30 min. This study, which combines the detection advantages of electrochemical and optical biosensor systems in a graphite-based paper sensor for the first time, has the potential to meet the needs of point-of-care applications. It is thought that future studies that will aim to examine the performance of the production-optimized, portable, graphite-based sensor system on real food samples, environmental samples, and especially medical clinical samples will be promising.
Details
- Language :
- English
- ISSN :
- 2079-6374
- Volume :
- 14
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Biosensors
- Publication Type :
- Academic Journal
- Accession number :
- 39727868
- Full Text :
- https://doi.org/10.3390/bios14120603