EJPAU 2006. Kitzman P. NEW METHOD FOR GROWTH INVESTIGATION OF METABOLICALLY ACTIVE MICROORGANISMS IN MIXED CULTURES

Electronic Journal of Polish Agricultural Universities (EJPAU) founded by all Polish Agriculture Universities presents original papers and review articles relevant to all aspects of agricultural sciences. It is target for persons working both in science and industry,regulatory agencies or teaching in agricultural sector. Covered by IFIS Publishing (Food Science and Technology Abstracts), ELSEVIER Science - Food Science and Technology Program, CAS USA (Chemical Abstracts), CABI Publishing UK and ALPSP (Association of Learned and Professional Society Publisher - full membership). Presented in the Master List of Thomson ISI.

2006
Volume 9
Issue 4

Topic:

Food Science and Technology

ELECTRONIC
JOURNAL OF
POLISH
AGRICULTURAL
UNIVERSITIES

Kitzman P. 2006. NEW METHOD FOR GROWTH INVESTIGATION OF METABOLICALLY ACTIVE MICROORGANISMS IN MIXED CULTURES, EJPAU 9(4), #42.
Available Online: http://www.ejpau.media.pl/volume9/issue4/abs-42.html

NEW METHOD FOR GROWTH INVESTIGATION OF METABOLICALLY ACTIVE MICROORGANISMS IN MIXED CULTURES

Paweł Kitzman
Department of Quality Control and Standardization, Meat and Fat Research Institute, Warsaw, Poland

ABSTRACT

An instrumental method was elaborated to calculate growth curves of two bacterial strains, Escherichia coli and Weisella viridescens, metabolically active and growing in the same mixed culture. The method allows for: quantitative differentiation of above mentioned strains in any time points in the growth curves, estimation of metabolically active counts of bacteria in food samples according to “detection time” principle or to direct investigation of mutual influence of metabolically active strains to dynamics of their growth. Above method relays on spectro-photometric examination of mixed cultures grown in a medium containing rezazurin. Many measurements of absorbance are taken during growth in mixed culture with use of many wave lengths and obtained data (spectro-photometric spectrums) are analyzed with use of rough-sets exploration system and neural network, thus very precise bacterial counts are calculated in effect.

Key words: Escherichia coli, Weisella viridescens, mixed culture, rough-sets, neural network.

Paweł Kitzman
Department of Quality Control and Standardization,
Meat and Fat Research Institute, Warsaw, Poland
Jubilerska 4, 04-190 Warsaw, Poland
phone: +48 22 5097014
email: pawel.kitzman@ipmt.waw.pl

Responses to this article, comments are invited and should be submitted within three months of the publication of the article. If accepted for publication, they will be published in the chapter headed 'Discussions' and hyperlinked to the article.