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Application of multifractal wavelet analysis to spontaneous fermentation processes
VRANI IBARRA JUNQUERA
MARIA DEL PILAR ESCALANTE MINAKATA
HARET CODRATIAN ROSU
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1016/j.physa.2008.01.083
Multifractal
Wavelet
Mixed-culture
Spontaneous fermentation
Redox potential
"An algorithm is presented here to get more detailed information, of mixed cul-ture type, based exclusively on the biomass concentration data for fermentation processes. The analysis is performed with only the on-line measurements of the re-dox potential being available. It is a two-step procedure which includes an Artificial Neural Network (ANN) that relates the redox potential to the biomass concen-trations in the first step. Next, a multifractal wavelet analysis is performed using the biomass estimates of the process. In this context, our results show that the redox potential is a valuable indicator of microorganism metabolic activity during the spontaneous fermentation. In this paper, the detailed design of the multifractal wavelet analysis is presented, as well as its direct experimental application at the laboratory level."
Elsevier
2008
Artículo
Inglés
Público en general
V. Ibarra-Junquera, J.S. Murguía, P. Escalante-Minakata, H.C. Rosu, Application of multifractal wavelet analysis to spontaneous fermentation processes, Physica A: Statistical Mechanics and its Applications, Volume 387, Issue 12, 2008, Pages 2802-2808, ISSN 0378-4371, http://dx.doi.org/10.1016/j.physa.2008.01.083.
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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