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

Plaeyao, Kittiya; Kampangta, Ratchaneekorn; Korkokklang, Yuparat; Talodthaisong, Chanon; Saenchoopa, Apichart; Thammawithan, Saengrawee; Latpala, Krailikhit; Patramanon, Rina; Kayunkid, Navaphun; Kulchat, Sirinan

doi:10.1039/d3ra02702c

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

Author(s)

Plaeyao, Kittiya

Kampangta, Ratchaneekorn

Korkokklang, Yuparat

Talodthaisong, Chanon

Saenchoopa, Apichart

Thammawithan, Saengrawee

Latpala, Krailikhit

Patramanon, Rina

Kayunkid, Navaphun

Kulchat, Sirinan

Date Issued

July 3, 2023

Type

Article

DOI

10.1039/d3ra02702c

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.

Citation

Rsc Advances, 13(29), 19789-19802, 2023