Your browser doesn't support javascript.
loading
Zirconia nanocomposites with carbon and iron(iii) oxide for voltammetric detection of sub-nanomolar levels of methyl parathion.
Gannavarapu, Krishna Prasad; Ganesh, V; Dandamudi, Rajesh Babu.
Afiliación
  • Gannavarapu KP; Department of Chemistry, Sri Sathya Sai Institute of Higher Learning Prasanthinilayam Campus, Puttaparthi Anantapur Dist. Andhra Pradesh 515134 India drajeshbabu@sssihl.edu.in +08555286919 +919441587413.
  • Ganesh V; Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute Karaikudi Tamil Nadu 630001 India.
  • Dandamudi RB; Department of Chemistry, Sri Sathya Sai Institute of Higher Learning Prasanthinilayam Campus, Puttaparthi Anantapur Dist. Andhra Pradesh 515134 India drajeshbabu@sssihl.edu.in +08555286919 +919441587413.
Nanoscale Adv ; 1(12): 4947-4954, 2019 Dec 03.
Article en En | MEDLINE | ID: mdl-36133142
ABSTRACT
This study reports the synthesis of zirconia nanoparticles loaded on various carbon substrates, namely, reduced graphene oxide (Zr-r-GO), carbon nanotubes (Zr-CNT), and activated carbon (Zr-AC). In addition, a composite of zirconia-iron mixed oxide loaded on activated carbon (FeZr-AC) was also synthesized. The materials were characterized using SEM-EDX, HRTEM, FTIR, Raman spectroscopy, TGA and XRD. The FeZr-AC sample was found to have a nanorod like morphology. The samples were evaluated for their sensing potential towards methyl parathion (MP) using differential pulse voltammetry in a range of 0.0 V to -0.9 V (vs. Ag/AgCl) by drop casting on a glassy carbon electrode (GCE). All the modified GCEs best operated at a working potential of 0.4-0.9 V vs. Ag/AgCl/Cl-. FeZr-AC was found have the best limit of detection followed by Zr-AC, Zr-CNT and Zr-r-GO with their detection limits being 1.7 × 10-9 M, 17.2 ×10-9 M, 243.3 × 10-9 M and 534.0 × 10-9 M respectively. These materials were then used to detect MP in spiked sewage samples and showed good recoveries.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Nanoscale Adv Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Nanoscale Adv Año: 2019 Tipo del documento: Article