2007/10/31 by V. Ibarra-Junquera, Vrani Ibarra‐Junquera, J.S. Murguía +4
Chemistry · Computer Science · Engineering · Physics and Astronomy · #Fault Detection and Control Systems #Image and Signal Denoising Methods #Spectroscopy and Chemometric Analyses #physics.bio-ph
paper · pdf · doi:10.1016/j.physa.2008.01.083
published as Physica A 387(12) 2802-2808 (2008) · 12 pages, 3 figures, Physica A, to appear
openalex publication_date 2008/01/28 · arxiv created 2008/02/09 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
An algorithm is presented here to get more detailed information, of mixed culture type, based exclusively on the biomass concentration data for fermentation processes. The analysis is performed with only the on-line measurements of the redox potential being available. It is a two-step procedure which includes an Artificial Neural Network (ANN) that relates the redox potential to the biomass concentrations 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