Skip to main navigation menu Skip to main content Skip to site footer
×
Español (España) | English
Editorial
Home
Indexing
Original

Electrochemical Sensors based on Conductive Polymers Incorporate of Nano Material for the Detection of Hydrogen Peroxide (H2O2)

By
Malak Wadi ,
Malak Wadi

Dep. of polymer and petrochemical industries, College of Materials Engineering, University of Babylon, Iraq.

Search this author on:

PubMed | Google Scholar
Asra A. Hussein ,
Asra A. Hussein

Dep. of polymer and petrochemical industries, College of Materials Engineering, University of Babylon, Iraq

Search this author on:

PubMed | Google Scholar
Mohammed H. Almaamori ,
Mohammed H. Almaamori

Dep.of Al- mustaqbal university, Babylon, Iraq

Search this author on:

PubMed | Google Scholar

Abstract

Hydrogen peroxide (H2O2) plays a crucial role in various industries but poses a risk to human health when present in an uncontrolled manner. Hence, it is imperative to develop straightforward, cost-effective, and swift analytical methods for the detection and monitoring of H2O2. This study proposes a detector consisting of polyaniline-doped silver nanoparticles (Ag NPs), utilising a nanostructured okra semiconductor as a sensing material for H2O2 detection. The obtained results indicated that the addition of silver nanoparticles (Ag NPs) (at particle size 30 nm) into the mixture at different concentrations (1, 5, and 10 wt%) and voltages (1.4V–3V) led to good electrochemical performance. The prepared sensor at the Ag nanoparticle weight concentration (10 wt%) proved to have optimal performance. This configuration exhibited a clear and reliable signal response across a broad spectrum of currents at different concentrations of H2O2.

How to Cite

1.
Wadi M, Hussein AA, Almaamori MH. Electrochemical Sensors based on Conductive Polymers Incorporate of Nano Material for the Detection of Hydrogen Peroxide (H2O2). Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2024 Jun. 8 [cited 2024 Jul. 27];3:850. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/850

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.