Literature DB >> 21289407

Optimized network of multi-walled carbon nanotubes for chemical sensing.

A Gohier1, J Chancolon, P Chenevier, D Porterat, M Mayne-L'Hermite, C Reynaud.   

Abstract

This work reports the design of a resistive gas sensor based on 2D mats of multi-walled carbon nanotubes (MWCNTs) grown by aerosol-assisted chemical vapour deposition. The sensor sensitivity was optimized using chlorine as analyte by tuning both CNT network morphology and CNT electronic properties. Optimized devices, operating at room temperature, have been calibrated over a large range of concentration and are shown to be sensitive down to 27 ppb of chlorine. The as-grown MWCNT response is compared with responses of 2000 °C annealed CNTs, as well as of nitrogen-doped CNTs and CNTs functionalized with polyethyleneimine (PEI). Under chlorine exposure, the resistance decrease of as-grown and annealed CNTs is attributed to charge transfer from chlorine to CNTs and demonstrates their p-type semiconductor behaviour. XPS analysis of CNTs exposed to chlorine shows the presence of chloride species that confirms electron charge transfer from chlorine to CNTs. By contrast, the resistance of nitrogen-doped and PEI functionalized CNTs exposed to chlorine increases, in agreement with their n-type semiconductor nature. The best response is obtained using annealed CNTs and is attributed to their higher degree of crystallinity.

Entities:  

Year:  2011        PMID: 21289407     DOI: 10.1088/0957-4484/22/10/105501

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  2 in total

1.  Carbon Nanotube Chemical Sensors.

Authors:  Vera Schroeder; Suchol Savagatrup; Maggie He; Sibo Lin; Timothy M Swager
Journal:  Chem Rev       Date:  2018-09-18       Impact factor: 60.622

2.  Tailoring of the chlorine sensing properties of substituted metal phthalocyanines non-covalently anchored on single-walled carbon nanotubes.

Authors:  Anshul Kumar Sharma; Aman Mahajan; Subodh Kumar; A K Debnath; D K Aswal
Journal:  RSC Adv       Date:  2018-09-21       Impact factor: 3.361

  2 in total

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