Selective Gas Sensing with a Single Pristine Graphene Transistor

Physics – Condensed Matter – Materials Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 pages, 5 figures, 1 table, presented at several conferences in 2011

Scientific paper

We show that vapors of different chemicals produce distinguishably different effects on the low-frequency noise spectra of graphene. It was found in a systematic study that some gases change the electrical resistance of graphene devices without changing their low-frequency noise spectra while other gases modify the noise spectra by inducing Lorentzian components with distinctive features. The characteristic frequency fc of the Lorentzian noise bulges in graphene devices is different for different chemicals and varies from fc=10 - 20 Hz to fc=1300 - 1600 Hz for tetrahydrofuran and chloroform vapors, respectively. The obtained results indicate that the low-frequency noise in combination with other sensing parameters can allow one to achieve the selective gas sensing with a single pristine graphene transistor. Our method of gas sensing with graphene does not require graphene surface functionalization or fabrication of an array of the devices with each tuned to a certain chemical.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Selective Gas Sensing with a Single Pristine Graphene Transistor does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Selective Gas Sensing with a Single Pristine Graphene Transistor, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Selective Gas Sensing with a Single Pristine Graphene Transistor will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-518766

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.