Gas sensing using single wall carbon nanotubes ordered with dielectrophoresis
Di Carlo A
Di Natale C
MetadataShow full item record
We demonstrate efficient NH3 detection in single wall carbon nanotubes (SWCNT) ordered by mean of dielectrophoretical process. The employed approach was to disperse the nanotubes, treated following a specific protocol, in CHCl3 and to distribute the suspension between the tracks of multifinger Au electrodes (40 mu m spacing) on SiO2/Si substrates. The control of arrangement and alignment of the SWCNT bundles was achieved by applying an alternate voltage (frequency 1 MHz, 10 V-pp) during the solvent evaporation. The sensitivity for NH3 detection resulted to be strongly enhanced by the degree of SWCNT alignment between the electrodes. The sensitivity resulted enhanced also by increasing up to 80 degrees C the temperature of the devices. We investigated also the effect induced on the NH3 absorption/desorption processes by a gate voltage applied to the Si substrate beneath the interdigitated electrodes on the NH3. The results indicate that the sensitivity of the SWCNT-based sensor can be increased applying a negative gate voltage. (c) 2005 Elsevier B.V. All rights reserved.
Showing items related by title, author, creator and subject.
Reale A; Regoliosi P; Tocca L; Lugli P; Orlanducci S; Terranova ML; Bruni G (AMER INST PHYSICS, 2004)Samples of single-walled carbon nanotubes (SWCNTs) organized in the form of thin membranes have been investigated in order to correlate the mechanical deformation and conductivity behavior of such nanosized material. The ...
Metal-free fully solution-processable flexible electrolyte-gated carbon nanotube field effect transistor Bhatt V; Joshi S; Lugli P (Institute of Electrical and Electronics Engineers Inc., 2017)Carbon nanotube-based field effect transistors (CNTFETs) are an interesting alternative to organic FETs in the growing field of printed electronics. Solution processed CNTFETs can be fabricated at low temperatures, are ...
Colasanti S; Bhatt V; Abdellah A; Lugli P (Institute of Physics Publishing, 2015)A numerical percolative model for simulations of random networks of carbon nanotubes is presented. This algorithm takes into account the real 3D nature of these networks, allowing for a better understanding of their ...