• Title of article

    Optimization of scanning transmission X-ray microscopy for the identification and quantitation of reinforcing particles in polyurethanes

  • Author/Authors

    Hitchcock، نويسنده , , A.P and Koprinarov، نويسنده , , I and Tyliszczak، نويسنده , , T and Rightor، نويسنده , , E.G and Mitchell، نويسنده , , G.E and Dineen، نويسنده , , M.T and Hayes، نويسنده , , F and Lidy، نويسنده , , W and Priester، نويسنده , , R.D and Urquhart، نويسنده , , S.G. and Smith، نويسنده , , A.P. and Ade، نويسنده , , H، نويسنده ,

  • Issue Information
    دوماهنامه با شماره پیاپی سال 2001
  • Pages
    17
  • From page
    33
  • To page
    49
  • Abstract
    The morphology, size distributions, spatial distributions, and quantitative chemical compositions of co-polymer polyol-reinforcing particles in a polyurethane have been investigated with scanning transmission X-ray microscopy (STXM). A detailed discussion of microscope operating procedures is presented and ways to avoid potential artifacts are discussed. Images at selected photon energies in the C 1s, N 1s and O 1s regions allow unambiguous identification of styrene–acrylonitrile-based (SAN) copolymer and polyisocyanate polyaddition product-based (PIPA) reinforcing particles down to particle sizes at the limit of the spatial resolution (50 nm). Quantitative analysis of the chemical composition of individual reinforcing particles is achieved by fitting C 1s spectra to linear combinations of reference spectra. Regression analyses of sequences of images recorded through the chemically sensitive ranges of the C 1s, N 1s and O 1s spectra are used to generate quantitative compositional maps, which provide a fast and effective means of investigating compositional distributions over a large number of reinforcing particles. The size distribution of all particles determined by STXM is shown to be similar to that determined by TEM. The size distributions of each type of reinforcing particle, which differ considerably, were obtained by analysis of STXM images at chemically selective energies.
  • Keywords
    X-ray microscopy , Polymers , Particle Size Distributions , Quantitative chemical mapping
  • Journal title
    Ultramicroscopy
  • Serial Year
    2001
  • Journal title
    Ultramicroscopy
  • Record number

    2155646