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Simultaneous Measurement of Superoxide/Hydrogen Peroxide and NADH Production by Flavin-containing Mitochondrial Dehydrogenases
Published on: February 24, 2018
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Colorimetric multienzymatic smart sensors for hydrogen peroxide, glucose and catechol screening analysis
Oana Hosu1, Mariagrazia Lettieri2, Nicoleta Papara1
1Department of Chemistry "Ugo Schiff", University of Florence, Via Della Lastruccia 3, 50019, Sesto Fiorentino (Fi), Italy; Analytical Chemistry Department, Faculty of Pharmacy, "Iuliu Hatieganu" University of Medicine and Pharmacy, Pasteur 4, Cluj-Napoca, Romania.
Talanta
|July 31, 2019
Summary
This study introduces a smartphone-based biosensor using a special polymer film and enzymes for quick colorimetric detection. This innovative device offers a simple and portable method for analyzing food and pharmaceutical samples.
Area of Science:
- Electrochemistry
- Materials Science
- Biotechnology
Background:
- Enzymatic biosensors offer sensitive detection but often require complex instrumentation.
- Colorimetric detection methods provide visual readouts but can lack precision.
- Portable analytical devices are increasingly in demand for various applications.
Purpose of the Study:
- To develop a smartphone-based multiplexed enzymatic biosensor for rapid analysis.
- To utilize the colorimetric properties of a poly(aniline-co-anthranilic acid) composite film.
- To immobilize various enzymes for substrate-specific detection.
Main Methods:
- Enzyme immobilization onto a poly(aniline-co-anthranilic acid) composite film via adsorption.
- Utilizing the film's reversible green-to-blue color change upon enzymatic catalysis.
- Employing a smartphone with a dedicated application (ColorLab®) for image acquisition and data analysis.
- Confirming results with spectrophotometric measurements.
Main Results:
- Successful immobilization of horseradish peroxidase (HRP), glucose oxidase (GOx), and tyrosinase (Tyr) enzymes.
- Demonstrated reversible color change of the polymer film from green to blue.
- Validated smartphone-based detection against spectrophotometry.
- Optimized sensor performance by studying various experimental parameters.
- Applied the biosensor effectively in food and pharmaceutical sample analysis.
Conclusions:
- The developed smartphone-based enzymatic biosensor is a promising tool for handheld analysis.
- The system offers a quick, simple, and portable solution for various analytical fields.
- The colorimetric approach coupled with smartphone technology enhances accessibility and usability.
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