Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 51,
  • Issue 6,
  • pp. 889-897
  • (1997)

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

Not Accessible

Your library or personal account may give you access

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.

PDF Article
More Like This
Comparison of a physical model and principal component analysis for the diagnosis of epithelial neoplasias in vivo using diffuse reflectance spectroscopy

Melissa C. Skala, Gregory M. Palmer, Kristin M. Vrotsos, Annette Gendron-Fitzpatrick, and Nirmala Ramanujam
Opt. Express 15(12) 7863-7875 (2007)

Recording Infra-Red Analyzers for Butadiene and Styrene Plant Streams*

N. Wright and L. W. Herscher
J. Opt. Soc. Am. 36(4) 195-202 (1946)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.