Issue 29, 2023, Issue in Progress

Gingerol extract-stabilized silver nanoparticles and their applications: colorimetric and machine learning-based sensing of Hg(ii) and antibacterial properties

Abstract

This study focused on synthesizing ginger-stabilized silver nanoparticles (Gin-AgNPs) using a more eco-friendly method that utilized AgNO3 and natural ginger solution. These nanoparticles underwent a color change from yellow to colorless when exposed to Hg2+, enabling the detection of Hg2+ in tap water. The colorimetric sensor had good sensitivity, with a limit of detection (LOD) of 1.46 μM and a limit of quantitation (LOQ) of 3.04 μM. Importantly, the sensor operated accurately without being affected by various other metal ions. To enhance its performance, a machine learning approach was employed and achieved accuracy ranging from 0% to 14.66% when trained with images of Gin-AgNP solutions containing different Hg2+ concentrations. Furthermore, the Gin-AgNPs and Gin-AgNPs hydrogels exhibited antibacterial effects against both Gram-negative and Gram-positive bacteria, indicating potential future applications in the detection of Hg2+ and in wound healing.

Graphical abstract: Gingerol extract-stabilized silver nanoparticles and their applications: colorimetric and machine learning-based sensing of Hg(ii) and antibacterial properties

Supplementary files

Article information

Article type
Paper
Submitted
24 Apr 2023
Accepted
14 Jun 2023
First published
03 Jul 2023
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2023,13, 19789-19802

Gingerol extract-stabilized silver nanoparticles and their applications: colorimetric and machine learning-based sensing of Hg(II) and antibacterial properties

K. Plaeyao, R. Kampangta, Y. Korkokklang, C. Talodthaisong, A. Saenchoopa, S. Thammawithan, K. Latpala, R. Patramanon, N. Kayunkid and S. Kulchat, RSC Adv., 2023, 13, 19789 DOI: 10.1039/D3RA02702C

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