Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 42,
  • Issue 6,
  • pp. 980-989
  • (1988)

Characterization of Solution-Cast Extracts from Cardiothane-51® by FT-IR and ESCA

Not Accessible

Your library or personal account may give you access

Abstract

Extracts from Cardiothane-51® have been cast from solvents of varying polarity. Cardiothane-51® can be described as block polyether-polyurethane copolymer with a 10% by weight addition of polydimethylsiloxane (DMS) that is partially copolymerized and partially blended to form a copolymer/polyblend. FT-IR has been utilized to probe bulk and near-surface bonding and composition in the solution-cast extract films. Results show that Cardiothane-51® is similar in bulk composition, as measured by FT-IR, to Avcothane-51®. However, these two polymers are quite different in composition over a depth of microns. Both Cardiothane-51® and Avcothane-51® have surfaces, as measured by ESCA, which are dominated by their DMS component with a significant amount of the polyether present. Results suggest that the DMS in Cardiothane 51® is a blended phase, because of its ease of extraction.

PDF Article
More Like This
Recent applications of FT-IR spectroscopy to polymer systems

J. L. Koenig and M. K. Antoon
Appl. Opt. 17(9) 1374-1385 (1978)

Dual-arm Z-scan technique to extract dilute solute nonlinearities from solution measurements

Manuel R. Ferdinandus, Matthew Reichert, Trenton R. Ensley, Honghua Hu, Dmitry A. Fishman, Scott Webster, David J. Hagan, and Eric W. Van Stryland
Opt. Mater. Express 2(12) 1776-1790 (2012)

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.