May 1, 2007
Book Chapter

Electrochemical sensors based on nanomaterials for environmental monitoring

Abstract

This article review work relevant to the two fastest growing nanomaterials in electrochemical sensing of metal ions: organically modified ordered mesoporous silicas (OMSs) and carbon nanotubes (CNTs). Nanostructured self-assembled monolayers on mesoporous silicas (SAMMS) materials are highly effective as electrode modifiers; they can be either mixed with conductive materials or spin-cast as a thin-film on electrode surface. The interfacial chemistry of SAMMS can be fine-tuned to selectively preconcentrate the specific metal ions of interest. The functional groups on SAMMS materials enable the preconcentration to be done without mercury, supporting electrolytes, applied potential, and solution degassing, all of which are often required in conventional adsorptive stripping voltammetric sensors. Since it was first introduced in 1991, CNTs have been widely investigated for electrochemical sensors of many important biomolecules because of their electrocatalytic and antifouling properties, biocompatibility, high surface, and mechanical strength. For trace metal analysis, CNT thin-film created by drop-coating of CNT-solvent suspensions on electrode surfaces has been explored in order to develop mercury-free sensors by exploiting the bulk properties of the CNTs. Array of low-site-density aligned carbon nanotubes has been grown on metal substrates by a non-lithographic method. Each CNT serves as a nanoelectrode which normally has greater mass transfer rate and higher mass sensitivity than conventional macroelectrodes. The array of millions of CNT nanoelectrodes provides magnified voltammetric signals for trace metal ions without the need for a signal amplifier.

Revised: October 24, 2007 | Published: May 1, 2007

Citation

Yantasee W., Y. Lin, and G.E. Fryxell. 2007. Electrochemical sensors based on nanomaterials for environmental monitoring. In Environmental Applications of Nanomaterials: Synthesis, Sorbents And Sensors, edited by Glen E. Fryxell and Guozhong Cao. 401-438. London:Imperial College Press. PNNL-SA-52933.