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A Sensitive Visual Method for the Detection of Hydrogen Sulfide Producing Bacteria
Published on: June 27, 2022
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Plasmonic sensor for hydrogen sulphide in saliva: Multisensor platform and bag format
I Carrero-Ferrer1, C Molins-Legua1, P Campíns-Falcó1
1MINTOTA Research Group, Departament de Química Analítica, Facultat de Química. Universitat de València. Dr. Moliner 50, 46100, Burjassot, València, Spain.
Talanta
|April 16, 2022
Summary
This study presents a novel plasmonic sensor for detecting hydrogen sulfide, an indicator of oral diseases. The sensor, utilizing silver nanoparticles on nylon, shows a color change proportional to sulfide concentration, enabling non-invasive oral health monitoring.
Area of Science:
- Nanotechnology
- Analytical Chemistry
- Biomedical Engineering
Background:
- Optical sensors are increasingly important for in situ analysis.
- Plasmonic sensors, particularly those using silver nanoparticles (AgNPs), are gaining significant attention.
- Hydrogen sulfide is a key biomarker for various oral diseases.
Purpose of the Study:
- To develop and evaluate a plasmonic sensor for detecting hydrogen sulfide (H2S) in oral environments.
- To compare the performance of the sensor in different assay formats (bag and well microplates).
- To assess the sensor's utility for non-invasive oral disease monitoring.
Main Methods:
- A plasmonic sensor was fabricated using AgNPs immobilized on a Nylon surface.
- The sensor's colorimetric response to H2S was investigated.
- Assay performance was evaluated in bag and well microplate formats.
- RGB image analysis was employed to quantify the color change.
- The sensor was applied to analyze sulfide levels in human saliva samples.
Main Results:
- The sensor exhibited a distinct color change from yellow to brown, correlating with H2S concentration.
- Both assay formats demonstrated good figures of merit.
- The sensor successfully quantified sulfide concentrations in real saliva samples, ranging from 30 to 600 μM/L.
- RGB coordinates provided a reliable analytical signal.
- The sensor demonstrated good selectivity, sensitivity, and rapidity.
Conclusions:
- The developed AgNP-based plasmonic sensor is effective for H2S detection.
- The sensor offers a rapid, non-invasive, and selective method for indirect oral disease assessment.
- The use of RGB coordinates enhances the analytical signal processing.
- This technology holds promise for point-of-care diagnostics in oral healthcare.

