Literature DB >> 35429829

Plasmonic sensor for hydrogen sulphide in saliva: Multisensor platform and bag format.

I Carrero-Ferrer1, C Molins-Legua2, P Campíns-Falcó3.   

Abstract

In recent years, there is a growing demand for optical sensors given their analytical properties, and the possibility of in situ implementation. Among all the types of optical sensors, plasmonic sensors have aroused great interest in the scientific community. In this work, the ability of a plasmonic sensor based on AgNPs retained on a Nylon surface is studied to determine hydrogen sulfide, which can be an indicator of oral diseases. This compound produces a color change of the sensor from yellow to brown directly related to its concentration. The sensor response is evaluated in two different assay formats such as bag and well microplates. The figures of merits of both methodologies have been obtained and compared. The advantages and disadvantages of the different formats have been shown. Finally, the sensor is applied to quantify sulfides in real saliva. Concentrations ranged from 30 μ L-1 to 600 μ L-1 have been obtained for the voluntaries. Besides that, in this approach the RGB coordinates from images have been used as analytical signal too. The results achieved have demonstrated that the sensor and the methodology applied provide good selectivity, sensibility, rapidity, it is non-invasive and it can be used as indirect method to measure problems in the oral cavity.
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bag samplers; H(2)S; Multisensor platform; Plasmonic colorimetric sensor; Saliva; Smartphone readout

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Year:  2022        PMID: 35429829     DOI: 10.1016/j.talanta.2022.123449

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Simple and Sensitive Detection of Bacterial Hydrogen Sulfide Production Using a Paper-Based Colorimetric Assay.

Authors:  Byung-Ki Ahn; Yong-Jin Ahn; Young-Ju Lee; Yeon-Hee Lee; Gi-Ja Lee
Journal:  Sensors (Basel)       Date:  2022-08-08       Impact factor: 3.847

  1 in total

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