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Inferring mixed-culture growth from total biomass data in a wavelet approach
VRANI IBARRA JUNQUERA
MARIA DEL PILAR ESCALANTE MINAKATA
HARET CODRATIAN ROSU
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1016/j.physa.2006.03.015
Bioreactor
aMixed-cultures
Total biomass
Wavelets
"It is shown that the presence of mixed-culture growth in batch fermentation pro-cesses can be very accurately inferred from total biomass data by means of the wavelet analysis for singularity detection. This is accomplished by considering sim-ple 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 H¨older exponent of the singularity that we determine for our illustrative examples. The numerical results point to the possibility that H¨older 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 H¨older exponent is no longer a useful parameter."
Elsevier
2006
Artículo
Inglés
Público en general
V. Ibarra-Junquera, P. Escalante-Minakata, J.S. Murguía, H.C. Rosu, Inferring mixed-culture growth from total biomass data in a wavelet approach, Physica A: Statistical Mechanics and its Applications, Volume 370, Issue 2, 2006, Pages 777-792, ISSN 0378-4371, http://dx.doi.org/10.1016/j.physa.2006.03.015.
CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA
Versión aceptada
acceptedVersion - Versión aceptada
Aparece en las colecciones: Publicaciones Científicas Nanociencias y Materiales

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