6533b825fe1ef96bd1283231

RESEARCH PRODUCT

Using Matlab's wavelet toolbox to compare electric signals outputted by microbial fuel cells

M.a.g. MayenGabriela Fiori Da SilvaPierre Ferreira Do PradoIolanda Cristina Silveira Duarte

subject

Microbial fuel cellComputer science02 engineering and technology01 natural sciencesWaveletElectrical and Electronic EngineeringProcess engineeringMATLABcomputer.programming_languagebusiness.industry010401 analytical chemistrySpectral density021001 nanoscience & nanotechnologyToolbox0104 chemical sciencesElectronic Optical and Magnetic MaterialsAnodeWastewaterlcsh:TA1-2040Signal ProcessingElectric currentlcsh:Engineering (General). Civil engineering (General)0210 nano-technologybusinesscomputerBiotechnology

description

Motivation: microbial fuel cells (MFC) represents a wastewater treatment technology with the potential for a relevant electric energy generation. The monitoring of the electric current outputted generates time series of data. It was generated two time series using an experimental setup with a low-cost dual chamber microbial fuel cell treating cassava wastewater and, also, it was used the electric current data from a previously described experiment with this same setup treating cheese whey. All of this, innovatively, according our best knowledge, was studied using power spectral density, multifractal and wavelet coherence analysis. Results are promising and indeed point out this approach as an under-considered tool towards gaining knowledge about biofilms attached on anodes of a type of microbial fuel cell reactor. Keywords: Bioenergy, Wavelet coherence, Multifractal, Frequency, Wastewater, Microbial electrolysis cell

yearjournalcountryeditionlanguage
2019-06-01Sensing and Bio-Sensing Research
https://doi.org/10.1016/j.sbsr.2019.100285