• DocumentCode
    627859
  • Title

    Infrared Spectroscopy to Measure Collagen and Elastin in Aorta Using Multivariate Analysis

  • Author

    Cheheltani, Rabee ; McGoverin, Cushla M. ; Kiani, Mehdi ; Pleshko, Nancy

  • Author_Institution
    Coll. of Eng., Temple Univ., Philadelphia, PA, USA
  • fYear
    2013
  • fDate
    5-7 April 2013
  • Firstpage
    13
  • Lastpage
    14
  • Abstract
    Pathological changes in extracellular matrix (ECM) occur in the context of abdominal aortic aneurysm disease. The objective of this study is to assess the capability of Fourier transform infrared spectroscopy (FTIR) to differentiate major aorta ECM components. Two partial least squares (PLS) models were developed using mixtures of matrix components in potassium bromide pellets. In the first model collagen and elastin powders were mixed in varying percentages. In the second model, pig aorta specimens were selectively degraded by enzymatic treatment of either collagen or elastin and used to prepare pellets. The results of the PLS model showed the ability of FTIR methodology for differentiation of elastin and collagen. These results lay the foundation for application of the methodology to assess the progression of AAA pathology.
  • Keywords
    Fourier transform spectra; biochemistry; blood vessels; cellular biophysics; diseases; enzymes; infrared spectra; least squares approximations; molecular biophysics; powders; spectrochemical analysis; AAA pathology; FTIR; Fourier transform infrared spectroscopy; abdominal aortic aneurysm disease; collagen differentiation; collagen powders; elastin differentiation; elastin powders; enzymatic treatment; major aorta extracellular matrix components; matrix component mixtures; multivariate analysis; partial least squares models; pathological changes; pig aorta specimens; potassium bromide pellets; Biological system modeling; Degradation; Electronic countermeasures; Extracellular; Powders; Predictive models; Spectroscopy; Collagen; Elastin; Fourier transform infrared spectrsopy (FTIR); Partial least squares (PLS) method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
  • Conference_Location
    Syracuse, NY
  • ISSN
    2160-7001
  • Print_ISBN
    978-1-4673-4928-4
  • Type

    conf

  • DOI
    10.1109/NEBEC.2013.103
  • Filename
    6574333