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An Instantaneous Approach for Nanocarbon Classification

Niranjana , S (2013) An Instantaneous Approach for Nanocarbon Classification. By Karnataka Science and Technology Promotion Socity(KSTePS).

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Abstract

Nanocarbons in its various forms including graphene, nanodiamond, carbon nanotubes(CNT), nanofibers, and nanocluster carbon, are being studied as nanomaterials for applications in lifescience, electronics and many other fields. Raman measurement is instantaneous and nondestructive approach for characterizing nanocarbons. Raman spectroscopy is seen as a potential, novel tool for identifying characteristic or signatures of a nanomaterial and is increasingly seen as an effective tool to characterize nanocarbons varying from conductors to semiconductors to insulators. It can also be used for both qualitative and quantitative analysis of the materials. Nanocarbon Raman measurement has two important peaks (features). The features are G (Graphite) Peak and D (Disorder) Peak. The Raman response of a sp3 bonded diamond response has a sharp peak at 1350cm-1. The Raman response CNT has well-defined two peaks at around 1582cm-1. The Raman response of sp2-sp3 mixed phase materials such as nanocluster carbon has modulated response and consists of two peaks one at 1582cm-1 and the other peak is at 1350cm-1. These mixed phase family of nanocarbons are having varying sp2–sp3 composition. Reported here classification of a group the nanocarbons, grown with different process technologies having different sp2–sp3 composition using PLS PLUS/IQ software. Considered the Raman measurements of three classes of nanocarbon samples include: CNT, nanocluster carbon and nanodiamond. The nanocarbons Raman measurement are initially preprocessed (includes filtering, normalization) and then analyzed using dimension reduction technique, referred as Principal Component Analysis (PCA). PCA analysis of nanocarbons samples includes: nanocluster carbon, carbon nanotube (CNT) and nanodiamond shows interesting results. The PCA plots indicate possibility of grouping of sp2/sp3 varying nanocarbons and the similar nanocarbons are found closely distributed in the feature space. Reported here, grouping (classification) of nanocarbons based on single or two features. The proposed methodology may be used for nanocarbon in-situ classification or for identification of nanocarbon during the synthesis.

Item Type: Other
Subjects: Engineering > MIT Manipal > Biomedical
Depositing User: MIT Library
Date Deposited: 15 Feb 2014 06:32
Last Modified: 15 Feb 2014 06:32
URI: http://eprints.manipal.edu/id/eprint/138416

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