Inferring mixed-culture growth from total biomass data in a wavelet approach

Details Inferring mixed-culture growth from total biomass data in a wavelet approach Inferring mixed-culture growth from total biomass data in a wavelet approach

2005-12-20

arxiv.org/abs/physics/0512186v2

Physica A 370 (2006) 777-792

Physics

Biological Physics

17 pages and 10 (png) figures

Scientific paper

10.1016/j.physa.2006.03.015

It is shown that the presence of mixed-culture growth in batch fermentation processes can be very accurately inferred from total biomass data by means of the wavelet analysis for singularity detection. This is accomplished by considering simple phenomenological models for the mixed growth and the more complicated case of mixed growth on a mixture of substrates. The main quantity provided by the wavelet analysis is the Holder exponent of the singularity that we determine for our illustrative examples. The numerical results point to the possibility that Holder exponents can be used to characterize the nature of the mixed-culture growth in batch fermentation processes with potential industrial applications. Moreover, the analysis of the same data affected by the common additive Gaussian noise still lead to the wavelet detection of the singularities although the Holder exponent is no longer a useful parameter

Affiliated with

Also associated with

No associations

Rating

Inferring mixed-culture growth from total biomass data in a wavelet approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Inferring mixed-culture growth from total biomass data in a wavelet approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Inferring mixed-culture growth from total biomass data in a wavelet approach will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-662457