Green Synthesis of Silver Nanoparticles using Aqueous Plant Extracts and its Application as Optical Sensor

Koshy, Obey

doi:10.15406/ijbsbe.2017.02.00022

Cited by 3 publications

(1 citation statement)

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“…Researchers cast the cellulose fibers with AgNPs for H2O2 detection (59). It is an attempt to extend the plant-mediated AgNPs towards the paper-based technical application end to detect hydrogen peroxide.…”

Section: Pags-agnps Sensor For H2o2 Detectionmentioning

confidence: 99%

Omnipotent plant sources assisted green synthesis of Silver Nanoparticle - A promising Chemical Sensing tool

Selvaraj,

Mukunda Murthy,

Rajmohan

2024

Journal of the Turkish Chemical Society Section A: Chemistry

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This article aims to analyze the various sensor applications of silver nanoparticles synthesized from green materials, particularly plant-based sources. The current shape in the field of nanotechnology is the synthesis of metal nanoparticles via environmentally friendly and more reliable green materials. The green route synthesis is found to be a promising method because of its congenial properties. It is economical, affable, and reproducible. Heavy metals have been dispersed widely in the environment, and they are well known for their virulent effects. Numerous methods are available to sense and detect those metals. The headway in the domain of nanotechnology is to synthesize AgNPs from green plants and to steer clear of the hazardous effects of metals. Efficacious synthetic routes via plant-mediated synthesized AgNPs open up easy and efficient sensing of hazardous metals in the environment. AgNPs have attracted many researchers because they have good biocompatibility and other outstanding properties. Remarkable electronic, catalytic, and optical properties have enabled AgNPs to be used as sensors in medical, biological, and chemical fields. This review highlights the application of PAGS-AgNPs as a chemical sensor for detecting heavy metals and organic compounds in the environment.

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Section: Pags-agnps Sensor For H2o2 Detectionmentioning

confidence: 99%