Sensitive detection of H2S using gold nanoparticle decorated single-walled carbon nanotubes.

Abstract

Herein, we demonstrate that highly sensitive conductometric gas nanosensors for H(2)S can be synthesized by electrodepositing gold nanoparticles on single-walled carbon nanotube (SWNT) networks. Adjusting the electrodeposition conditions allowed for tuning of the size and number of gold nanoparticles deposited. The best H(2)S sensing performance was obtained with discrete gold nanodeposits rather than continuous nanowires. The gas nanosensors could sense H(2)S in air at room temperature with a 3 ppb limit of detection. The sensors were reversible, and increasing the bias voltage reduced the sensor recovery time, probably by local Joule heating. The sensing mechanism is believed to be based on the modulation of the conduction path across the nanotubes emanating from the modulation of electron exchange between the gold and carbon nanotube defect sites when exposed to H(2)S.

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Published Version (Please cite this version)

10.1021/ac901871d

Publication Info

Mubeen, Syed, Ting Zhang, Nicha Chartuprayoon, Youngwoo Rheem, Ashok Mulchandani, Nosang V Myung and Marc A Deshusses (2010). Sensitive detection of H2S using gold nanoparticle decorated single-walled carbon nanotubes. Anal Chem, 82(1). pp. 250–257. 10.1021/ac901871d Retrieved from https://hdl.handle.net/10161/3998.

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Deshusses

Marc Deshusses

Professor of Civil and Environmental Engineering

Dr. Deshusses' research interests are related to the design, analysis and application of remediation, waste to energy and decentralized sanitation processes. A current focus is on novel reactors and processes for air, water and solid wastes treatment. Applications include treatment of odors and air toxics, biogas production, and novel sanitation and treatment technologies. Research interests include bioenergy and waste to energy processes, biofilms, biomolecular techniques for monitoring microorganisms in complex environments, indoor air quality, advanced oxidation processes, nanosensors, and mathematical modeling of environmental processes.


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