title: Identification of the structures of superlong oriented single-walled carbon nanotube arrays by electrodeposition of metal and Raman spectroscopy.
abstract: In this Communication, we have demonstrated a facile and effective approach to identify the structure of the superlong well-aligned single-walled carbon nanotubes (SWNTs) by the combination of electrodeposition of metal (Ag) with Raman spectroscopy. The suitable density and the visibility of the Ag-deposited long oriented nanotubes make it possible to acquire Raman spectra from isolated individual nanotubes very easily. The results reveal that the well-oriented SWNT arrays on SiO2/Si wafer fabricated by EtOH chemical vapor deposition using Fe/Mo nanoparticles as catalyst exhibit a low percentage of metallic SWNTs (5%). Among other SWNTs about 62.3% are semiconducting SWNTs, and a small amount of nanotubes are quasimetallic. About 32% are a so-called quasi-insulator, which is caused inevitably by the defects during growth. Furthermore, the structural uniformity of the long SWNTs can be also evaluated by the deposition of Ag along the length and Raman spectroscopy. This method also provides an approach to deposit other metals on long SWNTs, which could have various potential applications such as for use as sensors, etc. More importantly, this facile method can be applied to long SWNT arrays fabricated from other different catalytic systems so that the relationship between the growth conditions and the structures of SWNTs are expected to be ruled out.
authors.affiliation: Nanomaterials & Chemistry Key Laboratory, Wenzhou University, Wenzhou, 325027, PR China. smhuang@wzu.edu.cn
authors.forename: Shaoming
authors.initials: S
authors.lastname: Huang
authors.forename: Yong
authors.initials: Y
authors.lastname: Qian
authors.forename: Jiangying
authors.initials: J
authors.lastname: Chen
authors.forename: Qiran
authors.initials: Q
authors.lastname: Cai
authors.forename: Li
authors.initials: L
authors.lastname: Wan
authors.forename: Shun
authors.initials: S
authors.lastname: Wang
authors.forename: Wenbing
authors.initials: W
authors.lastname: Hu