Static secondary ion mass spectrometric investigation of the surface chemistry of organic plasma-deposited films created from oxygen-containing precursors. 3. Multivariate statistical modeling.


Journal Article

Partial least squares (PLS) multivariate statistical models were developed to predict the surface composition and chemistry of a set of model homopolymers based on their static SIMS fragmentation patterns. In the calibration or model-building step, the positive and negative ion static SIMS spectra of different classes of model homopolymers were related to specific chemical attributes of the polymers. The models were then used to examine the surface chemistry of oxygen-containing plasma-deposited films prepared from a variety of precursors. PLS models were developed to predict the surface oxygen concentration and H/C ratios. The results obtained from the PLS models were compared with experimental results.

Full Text

Duke Authors

Cited Authors

  • Chilkoti, A; Ratner, BD; Briggs, D

Published Date

  • July 1993

Published In

Volume / Issue

  • 65 / 13

Start / End Page

  • 1736 - 1745

PubMed ID

  • 8368525

Pubmed Central ID

  • 8368525

Electronic International Standard Serial Number (EISSN)

  • 1520-6882

International Standard Serial Number (ISSN)

  • 0003-2700

Digital Object Identifier (DOI)

  • 10.1021/ac00061a017


  • eng