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  • ESCA  (1)
  • Polymethylmethacrylate  (1)
  • 1
    ISSN: 1432-0738
    Schlagwort(e): Polymethylmethacrylate ; Methyl methacrylate ; Brain ; Lung
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Medizin
    Notizen: Abstract Polymethylmethacrylate was thermally degraded in air at 300° C and the volatile decomposition products studied with gas chromatography-mass spectrometry. The main product was monomeric methacrylate, although many other compounds existed among the products. Electron spin resonance spectroscopy revealed the presence of free radicals. Wistar rats were exposed to the fumes of the plastic (300° C) and their lungs and brain studied for biochemical effects. In the lung, the activity of 7-ethoxycoumarin O-deethylase decreased and an initial inhibition of glutathione peroxidase and superoxide dismutase was observed. The contents of reduced nonprotein sulfhydryl groups were decreased in the lung and brain. The exposures enhanced the activities of acetylcholine esterase, creatine kinase and NADPH-diaphorase in the brain. Scanning electron microscopy of the exposed lungs showed disorganization of ciliated cells, and the epithelial serous cells (Clara cells) were damaged.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Digitale Medien
    Digitale Medien
    Chichester [u.a.] : Wiley-Blackwell
    Surface and Interface Analysis 25 (1997), S. 105-110 
    ISSN: 0142-2421
    Schlagwort(e): stationary phases ; ESCA ; SIMS ; multivariate ; PCA ; PLS ; Chemistry ; Polymer and Materials Science
    Quelle: Wiley InterScience Backfile Collection 1832-2000
    Thema: Physik
    Notizen: Stationary phases for solid-phase extraction (SPE) were analysed by ESCA and SIMS in combination with multivariate analysis (MVA). The SPEs were endcapped and non-endcapped octadodecyl-bonded silica spheres of various carbon loadings (CL). The SIMS survey spectra and ESCA survey, detail and valence band spectra were recorded. In order to explore the potential of using MVA in combination with surface analysis, and to improve and simplify extraction of information from the acquired spectra, principal components analysis (PCA) and partial least squares (PLS) were applied. Various methods for normalization of spectra and variables were tested to improve separation between groups in the PCA score plots. With appropriate normalization, the different types of SPEs formed distinguishable clusters in the score plots from PCA on all types of spectra recorded. The clusters were ordered in correlation to CL. From the PCA performed on the SIMS spectra it was possible to extract information regarding both CL and endcapping status of the samples. The endcapping status could be predicted successfully using the PLS model built from the SIMS spectra. The weights of the PLS model could be used to identify mass fragments typical for the sample surfaces, and the fragments identified correlated well to the different surface structures of the samples. © 1997 by John Wiley & Sons, Ltd.
    Zusätzliches Material: 7 Ill.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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