Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 38,
  • Issue 5,
  • pp. 687-692
  • (1984)

Factor Analysis of Raman Spectra of Polyethylene Under High Pressure

Not Accessible

Your library or personal account may give you access

Abstract

Raman spectra of very high signal quality in the skeletal optical region were obtained for linear polyethylene at three different pressures: ambient, 1.03 kbar, and 3.84 kbar. We have employed the factor analysis technique to decompose a series of spectra at temperatures near the melt. We found that there were two non-trivial abstract spectra for data at ambient pressure and 1.03 kbar and three non-trivial abstract spectra for the 3.84 kbar data. The plots of the third reconstruction coefficients vs. temperature gave scattered points in the first two cases and a structured curve in the case of the highest pressure. Based on these observations, we conclude that there are two linearly independent contributions (crystalline and melt) to the two lower pressure data sets and three (crystalline, melt, and intermediate) to the highest pressure data set. We believe this is the first piece of evidence for the existence of the high-pressure phase of polyethylene from spectroscopically derived measurements.

PDF Article
More Like This
Laser Raman Spectra of Liquid and Solid Bromine and Carbon Disulfide Under High Pressure

A. J. Melveger, J. W. Brasch, and E. R. Lippincott
Appl. Opt. 9(1) 11-15 (1970)

High Pressure Optics

A. Van Valkenburg
Appl. Opt. 9(1) 1-4 (1970)

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.