Advertisement

A Comparison of a Four Wavelength Analysis and Multicomponent Wavelength Analysis Applied to Determination of Haemoglobin Saturation

  • F. Degner
  • T. E. J. Gayeski
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 215)

Abstract

Cryomicrospectrophotometry has been used to study haemoglobin (Hb) and myoglobin (Mb) saturation in living tissue (Figulla, Hoffman and Lubbers, 1983). This paper evaluates two possible artefacts in cryomicrospectrometry applied to Hb measurements in small blood vessels. First, microcirculatory vessels may differ in haematocrit compared with systemic vessels (Hoffman et al., 1984). The resulting difference in Hb concentration might influence the spectroscopic signal and hence the calculation of Hb saturation. Second, the freezing rate of the tissue during the sample preparation influences the ice crystal size. Hence, light scattering and measured spectra may vary as a function of depth from a frozen surface. The present study determines the influence of different haemoglobin concentrations and freezing rates on the cryomicrospectrophotometric measurements and calculated saturations. In addition, we compared mouse, man and dog Hb using dog Hb as the standard. Finally, this paper compares the linear, multicomponent, wavelength analysis of Hoffman and Lubbers (1985) with a four wavelength method of Gayeski (1981). The latter method requires intensity measurements at four different wavelengths per saturation calculation over a ‘narrow’ spectral range (547–588 nm) as compared with many wavelengths (up to 500) over a ‘broad’ spectral range (500–600 nm). A simple method of determining haemoglobin saturation allows easier implementation.

Keywords

Freezing Rate Specimen Holder Cold Stage Wavelength Analysis Average Saturation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Figulla, H.R., Hoffman, J. and Lubbers, D.M. (1983). Coronary conductivity and tissue oxygenation as measured by the myoglobin O2 saturation and the cytochrome aa3 redox state in the Langendorff guinea pig heart preparation. In: Oxygen Transport to Tissue-IV. Eds Bicher, H.I. and Bruley, D.F.,Plenum Press, New York and London, ( Adv. Exp. Med. Biol. 159, 579–585 ).Google Scholar
  2. Fung, Y.C. (1973). Stochmastic flow in capillary blood vessels. Microvasc. Res. 5, 34–38.CrossRefGoogle Scholar
  3. Gayeski, T.E.J. (1981). A cryogenic microspectrophotometric method for measuring myoglobin saturation in subcellular volumes; application to resting dog gracilis muscle. Ph.D. Thesis, University of Rochester, Rochester, U.S.A.Google Scholar
  4. Gayeski, T.E.J. and Honig, C.R. (1986). O2 gradients from sarcolemma to cell interior in red muscle at maximal 102. Am. J. Physiol. 251, H789 - H799.Google Scholar
  5. Hoffman, J., Heinrich, U., Ahmad, H.R. and Lubbers, D.W. (1984). Analysis of tissue reflection spectra obtained from brain or heart, using the two-flux theory for non-constant light scattering. In: Oxygen Transport to Tissue-VI. Eds Bruley, D.F., Bicher, H.I. and Reneau, D., Plenum Press, New York and London, ( Adv. Exp. Med. Biol. 180, 555–563 ).Google Scholar
  6. Hoffman, J. and Lubbers, D.W. (1985). Quantitative analysis of reflection spectra: evaluation of simulated reflection spectra. In: Oxygen Transport to Tissue-VII. Eds Kreuzer, F., Cain, S.M., Turek, Z. and Goldstick, T.K., Plenum Press, New York and London, ( Adv. Exp. Med. Biol. 191, 85–90 ).Google Scholar
  7. Lubbers, D.W. (1973). Spectrophotometric examination of tissue oxygenation. In: Oxygen Transport to Tissue. Eds Bicher, H.I. and Bruley, D.F., Plenum Press, New York and London, ( Adv. Exp. Med. Biol. 37A, 45–54 ).Google Scholar
  8. Pittman, R. and Duling, B.R. (1975). A new method for the measurement of percent oxyhaemoglobin. J. Appl. Physiol. 38, 321–327.Google Scholar
  9. Schmid-Schonbein, G.W., Skalak, R., Usami, S. and Chien, S. (1980). Cell distribution in capillary networks. Microvasc. Res. 19, 18–44.CrossRefGoogle Scholar
  10. Twersky, V. (1962). Multiple scattering of waves and optical phenomena. J. Opt. Soc. Am. 52, 145–171.CrossRefGoogle Scholar
  11. Twersky, V. (1964). On propagation in random media of discrete scatterers. Am. Math. Soc. 16, 84Google Scholar

Copyright information

© Plenum Press, New York 1987

Authors and Affiliations

  • F. Degner
    • 1
  • T. E. J. Gayeski
    • 1
  1. 1.University of RochesterRochesterUSA

Personalised recommendations