Advertisement

Korean Journal of Chemical Engineering

, Volume 14, Issue 3, pp 179–183 | Cite as

Mathematical modeling for the estimation of lipase activity by agar diffusion method

  • Woo-Jin Chang
  • Yoon-Hee Moon
  • Yoon-Mo Koo
Article
  • 105 Downloads

Abstract

A mathematical model was developed to estimate the lipase activities from the experimentally obtained physical dimension of halo, formed by a diffusing lipase through agar media. A diffusion equation based upon the mass balance was derived in cylindrical coordinates, the integration of which was carried out by using finite difference method. A regressional analysis of the experimental data using the proposed model has brought the values for the hindered diffusivity of lipase through agar media and the minimum effective lipase concentration of 0.817 × 10−6 cm2 /s and 2.86 unit/ cm3, respectively. The procedures, delineated in this work are considered to be useful for the quantitative analysis of haloforming enzymes at predetermined standard conditions.

Key words

Lipase Activity Halo Agar Modeling 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Constantinides, A.,“Applied Numerical Methods with Personal Computers”, McGraw-Hill, New York, 1987.Google Scholar
  2. Fransmana, M., Junne, G. and Roobeek, A.,“The Biotechnology Revolution?”, Blackwell, Oxford, 1995.Google Scholar
  3. IMSL,“IMSL.LIBRARY User’s Manual, Vol. 4”, IMSL, Houston, 1984.Google Scholar
  4. Kouker, G. and Jaeger, K.-E.,“Specific and Sensitive Plate Assay for Bacterial Lipases”,Appl. and Environm. Microbiol.,53(1), 211 (1987).Google Scholar
  5. Lee, S.-Y. and Rhee, J.-S.,“Detection and Determination of Lipase Activity”,J. of Mcirobiol. and Biotech.,4(2), 85 (1994).Google Scholar

Copyright information

© Korean Institute of Chemical Engineering 1997

Authors and Affiliations

  • Woo-Jin Chang
    • 1
  • Yoon-Hee Moon
    • 1
  • Yoon-Mo Koo
    • 1
  1. 1.Department of Biological EngineeringInha UniversityInchonKorea

Personalised recommendations