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Fast and non-destructive Raman spectroscopic determination of multi-wall carbon nanotube (MWCNT) content in MWCNT/polydimethylsiloxane composites

Abstract

A versatile Raman spectroscopic method to determine the content of carbon nanotubes (CNT) in CNT/polydimethylsiloxane (PDMS) composites is demonstrated, and important issues directly related to the accuracy of the measurement have been investigated. Initially, Raman microscopic mappings over an area of 6.0 × 6.0 mm2 were carried out on CNT/PDMS composites, which revealed the existence the partial localization of CNT on a microscopic scale. Therefore, a laser illumination scheme covering a large sample area of 28.3 mm2 was employed to acquire a sample spectrum representative of the whole CNT concentration. The peak area ratio between the CNT and PDMS peaks clearly varied with the CNT concentration, whereas the reproducibility of measurements was degraded for the composites containing more than 3.0 wt% CNT because of the decreased Raman sampling volume arising from the absorption of laser radiation by the CNTs. The laser penetration depth was semi-quantitatively investigated by observing spectra of thin-sliced samples collected by positioning a Teflon disk behind the sample, and Monte Carlo simulation was employed to examine the internal photon propagation as well as explain the experimental observation. In summary, the fundamental issues affecting the Raman measurement of the CNT containing polymer matrix have been clearly addressed, and the finding here will be a beneficial basis for successful Raman spectroscopic analysis of different CNT-containing composites..

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Supplementary files

Publication details

The article was received on 26 Feb 2018, accepted on 18 Jul 2018 and first published on 19 Jul 2018


Article type: Paper
DOI: 10.1039/C8AN00351C
Citation: Analyst, 2018, Accepted Manuscript
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    Fast and non-destructive Raman spectroscopic determination of multi-wall carbon nanotube (MWCNT) content in MWCNT/polydimethylsiloxane composites

    D. Ryoo, J. Y. Kim, P. K. Duy, S. H. Cho, H. Chung and T. H. Yoon, Analyst, 2018, Accepted Manuscript , DOI: 10.1039/C8AN00351C

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