Literature DB >> 17164886

Determination of the chiral indices (n,m) of carbon nanotubes by electron diffraction.

Lu-Chang Qin1.   

Abstract

The atomic structure of a carbon nanotube can be defined by the chiral indices, (n,m), that specify its perimeter vector (chiral vector), with which the diameter and helicity are also determined. The fine electron beam available in a modern Transmission Electron Microscope (TEM) offers a unique and powerful probe to reveal the atomic structure of individual nanotubes. This article covers two aspects related to the use of the electron probe in the TEM for the study of carbon nanotubes: (i) to express the electron diffraction intensity distribution in the electron diffraction patterns of carbon nanotubes and (ii) to obtain the chiral indices (n,m) of carbon nanotubes from their electron diffraction patterns. For a nanotube of given chiral indices (n,m), the electron scattering amplitude from the carbon nanotube can be expressed analytically in closed form using the helical diffraction theory, from which its electron diffraction pattern can be calculated and understood. The reverse problem, i.e., assignment of the chiral indices (n,m) of a carbon nanotube from its electron diffraction pattern, is approached from the relationship between the electron diffraction intensity distribution and the chiral indices (n,m). The first method is to obtain indiscriminately the chiral indices (n,m) by reading directly the intensity distribution on the three principal layer lines, l(1), l(2), and l(3), which have intensities proportional to the square of the Bessel functions of orders m, n, and n + m: I(l1) proportional, variant |J(m) (pidR)|(2), I(l2) proportional, variant |J(n) (pidR)|(2), and I(l3) proportional, variant |J(n+m) (pidR)|(2). The second method is to obtain and use the ratio of the indices n/m = (2D(1)-D(2))/(2D(2)-D(1)) in which D(1) and D(2) are the spacings of principal layer lines l(1) and l(2), respectively. Examples of using these methods are also illustrated in the determination of chiral indices of isolated individual single-walled carbon nanotubes, a bundle of single-walled carbon nanotubes, and multi-walled carbon nanotubes.

Entities:  

Year:  2006        PMID: 17164886     DOI: 10.1039/b614121h

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  7 in total

1.  Atom by atom: HRTEM insights into inorganic nanotubes and fullerene-like structures.

Authors:  Maya Bar Sadan; Lothar Houben; Andrey N Enyashin; Gotthard Seifert; Reshef Tenne
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-06       Impact factor: 11.205

2.  Structure and Dynamics of Adsorbed Dopamine on Solvated Carbon Nanotubes and in a CNT Groove.

Authors:  Qizhang Jia; B Jill Venton; Kateri H DuBay
Journal:  Molecules       Date:  2022-06-11       Impact factor: 4.927

Review 3.  Recent Advances in Structure Separation of Single-Wall Carbon Nanotubes and Their Application in Optics, Electronics, and Optoelectronics.

Authors:  Xiaojun Wei; Shilong Li; Wenke Wang; Xiao Zhang; Weiya Zhou; Sishen Xie; Huaping Liu
Journal:  Adv Sci (Weinh)       Date:  2022-03-16       Impact factor: 17.521

Review 4.  Applications of Carbon Nanotubes for Lithium Ion Battery Anodes.

Authors:  Zhili Xiong; Young Soo Yun; Hyoung-Joon Jin
Journal:  Materials (Basel)       Date:  2013-03-21       Impact factor: 3.623

5.  Optical Response Characteristics of Single-Walled Carbon Nanotube Chirality Exposed to Oxidants with Different Oxidizing Power.

Authors:  Yuji Matsukawa; Kazuo Umemura
Journal:  Molecules       Date:  2021-02-19       Impact factor: 4.411

6.  Boron nitride nanotubes as containers for targeted drug delivery of doxorubicin.

Authors:  Marjan A Nejad; Philipp Umstätter; Herbert M Urbassek
Journal:  J Mol Model       Date:  2020-02-08       Impact factor: 2.172

7.  High-precision solid catalysts for investigation of carbon nanotube synthesis and structure.

Authors:  Xiao Zhang; Brian Graves; Michael De Volder; Wenming Yang; Tyler Johnson; Bo Wen; Wei Su; Robert Nishida; Sishen Xie; Adam Boies
Journal:  Sci Adv       Date:  2020-09-30       Impact factor: 14.136

  7 in total

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