Use of 13C Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis for Automated Analysis of Styrene/Butadiene Copolymers-Reference-Cited by-同舟云学术

Use of 13C Nuclear Magnetic Resonance Spectroscopy and Principal Component Analysis for Automated Analysis of Styrene/Butadiene Copolymers

Published:1997-06 Issue:6 Volume:51 Page:889-897
ISSN:0003-7028
Container-title:Applied Spectroscopy
language:en
Short-container-title:Appl Spectrosc

Author:

Walsh Neil G.¹,Hardy James K.¹,Rinaldi Peter L.¹

Affiliation:

1. Department of Chemistry, Knight Chemical Laboratory, The University of Akron, Akron, Ohio 44325-3601

Abstract

Principal component analysis (PCA) is used here to determine percent composition of the four monomer units styrene, 1,2-butadiene (vinyl), trans-1,4-butadiene ( trans), and cis-1,4-butadiene ( cis) in styrene/butadiene rubber (SBR) copolymers and the three monomer units (vinyl, trans, and cis) in butadiene rubber (BR) polymers. Comparison of PCA with current methods is described. Cluster analysis is used to classify the SBR and BR into groups.

Publisher

SAGE Publications

Subject

Spectroscopy,Instrumentation

Link

http://journals.sagepub.com/doi/pdf/10.1366/0003702971941205

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