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Scientific Paper

A combined experimental and DFT study on the zero valent iron/reduced graphene oxide doped QCM sensor for determination of trace concentrations of As using a Flow-batch system

Journal article 2023

Julián Gutiérrez, Yael N Robein, Julián Juan, María S Di Nezio, Carolina Pistonesi, Estela A González, Rodrigo Santos, Marcelo F Pistonesi

Sensors and Actuators B: Chemical, 404, 135233, 2023

View at publisher ↗ Full text ↗

DOI 10.1016/j.snb.2023.135233

Summary

A gold QCM modified with zero-valent iron nanoparticles anchored on reduced graphene oxide detects arsenic, as arsine, in an automated flow-batch system. The modification makes total arsenic measurement far more sensitive than with the bare gold sensor, and density functional theory calculations of arsine adsorption on the surfaces support the experimental results.

Summary written by the openQCM team. The original abstract is on the publisher’s page.

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