Literature DB >> 16267574

Identifying and counting point defects in carbon nanotubes.

Yuwei Fan1, Brett R Goldsmith, Philip G Collins.   

Abstract

The prevailing conception of carbon nanotubes and particularly single-walled carbon nanotubes (SWNTs) continues to be one of perfectly crystalline wires. Here, we demonstrate a selective electrochemical method that labels point defects and makes them easily visible for quantitative analysis. High-quality SWNTs are confirmed to contain one defect per 4 microm on average, with a distribution weighted towards areas of SWNT curvature. Although this defect density compares favourably to high-quality, silicon single-crystals, the presence of a single defect can have tremendous electronic effects in one-dimensional conductors such as SWNTs. We demonstrate a one-to-one correspondence between chemically active point defects and sites of local electronic sensitivity in SWNT circuits, confirming the expectation that individual defects may be critical to understanding and controlling variability, noise and chemical sensitivity in SWNT electronic devices. By varying the SWNT synthesis technique, we further show that the defect spacing can be varied over orders of magnitude. The ability to detect and analyse point defects, especially at very low concentrations, indicates the promise of this technique for quantitative process analysis, especially in nanoelectronics development.

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Year:  2005        PMID: 16267574     DOI: 10.1038/nmat1516

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   43.841


  11 in total

1.  Scanning gate spectroscopy and its application to carbon nanotube defects.

Authors:  Steven R Hunt; Danny Wan; Vaikunth R Khalap; Brad L Corso; Philip G Collins
Journal:  Nano Lett       Date:  2011-01-31       Impact factor: 11.189

2.  Vibration of carbon nanotubes with defects: order reduction methods.

Authors:  Robert B Hudson; Alok Sinha
Journal:  Proc Math Phys Eng Sci       Date:  2018-03-14       Impact factor: 2.704

3.  Scanning electrochemical microscopy of individual single-walled carbon nanotubes.

Authors:  Jiyeon Kim; Hui Xiong; Mario Hofmann; Jing Kong; Shigeru Amemiya
Journal:  Anal Chem       Date:  2010-03-01       Impact factor: 6.986

4.  Quantitative nanoscale visualization of heterogeneous electron transfer rates in 2D carbon nanotube networks.

Authors:  Aleix G Güell; Neil Ebejer; Michael E Snowden; Kim McKelvey; Julie V Macpherson; Patrick R Unwin
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-25       Impact factor: 11.205

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

Authors:  Syed Mubeen; Ting Zhang; Nicha Chartuprayoon; Youngwoo Rheem; Ashok Mulchandani; Nosang V Myung; Marc A Deshusses
Journal:  Anal Chem       Date:  2010-01-01       Impact factor: 6.986

Review 6.  Carbon nanotubes as vaccine scaffolds.

Authors:  David A Scheinberg; Michael R McDevitt; Tao Dao; J Justin Mulvey; Evan Feinberg; Simone Alidori
Journal:  Adv Drug Deliv Rev       Date:  2013-07-27       Impact factor: 15.470

7.  Interfacial load transfer mechanisms in carbon nanotube-polymer nanocomposites.

Authors:  Soumendu Bagchi; Abhilash Harpale; Huck Beng Chew
Journal:  Proc Math Phys Eng Sci       Date:  2018-08-08       Impact factor: 2.704

8.  Nanoscale electrocatalysis: visualizing oxygen reduction at pristine, kinked, and oxidized sites on individual carbon nanotubes.

Authors:  Joshua C Byers; Aleix G Güell; Patrick R Unwin
Journal:  J Am Chem Soc       Date:  2014-08-04       Impact factor: 15.419

9.  Sorting centimetre-long single-walled carbon nanotubes.

Authors:  Woo Jong Yu; Sang Hoon Chae; Quoc An Vu; Young Hee Lee
Journal:  Sci Rep       Date:  2016-08-01       Impact factor: 4.379

10.  Variations in biocorona formation related to defects in the structure of single walled carbon nanotubes and the hyperlipidemic disease state.

Authors:  Achyut J Raghavendra; Kristofer Fritz; Sherleen Fu; Jared M Brown; Ramakrishna Podila; Jonathan H Shannahan
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

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