M
Marcelo Zaiat
Researcher at University of São Paulo
Publications - 346
Citations - 9496
Marcelo Zaiat is an academic researcher from University of São Paulo. The author has contributed to research in topics: Chemical oxygen demand & Anaerobic digestion. The author has an hindex of 45, co-authored 319 publications receiving 7562 citations.
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Journal ArticleDOI
From start-up to maximum loading: An approach for methane production in upflow anaerobic sludge blanket reactor fed with the liquid fraction of fruit and vegetable waste.
Willame de Araújo Cavalcante,Camila Aparecida de Menezes,Francisco Carlos da Silva Junior,Tito Gehring,Renato Carrhá Leitão,Marcelo Zaiat +5 more
TL;DR: In this article , a reproducible approach for determining the limits of an upflow anaerobic sludge blanket (UASB) reactor designed for the methanization of the liquid fraction of fruit and vegetable waste (FVWL) was provided.
Journal ArticleDOI
Methanogenic consortia from thermophilic molasses-fed structured-bed reactors: microbial characterization and responses to varying food-to-microorganism ratios
Lucas Tadeu Fuess,Felipe Eng,Patricia Bovio-Winkler,Claudia Etchebehere,Marcelo Zaiat,Cláudio Augusto Oller do Nascimento +5 more
TL;DR: In this article , the microbial distribution and methane-producing potential of biomass from different regions (feeding zone and structured bed) of two second-stage thermophilic (55 ºC) fixed-film reactors were assessed.
Journal ArticleDOI
Improving the Continuous Multiple Tube Reactor: an Innovative Bioreactor Configuration with Great Potential for Dark Fermentation Processes
Ana Paula Trevisan,Eduardo Borges Lied,Lucas Tadeu Fuess,Marcelo Zaiat,Benedito Martins Gomes +4 more
Journal ArticleDOI
Development of a Low-Cost Electrochemical Sensor for Monitoring Components in Wastewater Treatment Processes.
R. F. Fonseca,Marcelo Zaiat +1 more
TL;DR: In this article , a low-cost electrochemical sensor was developed to monitor components in wastewater treatment plants, and the obtained signals were used to calibrate principal component regression, partial least square and artificial neural network estimation models.
Posted ContentDOI
Microbial Communities Performing Hydrogen Solventogenic Metabolism of Volatile Fatty Acids
TL;DR: In this article, four physicochemical pretreatments (acidic, thermal, acidic-thermal and thermal acidic) were evaluated on an anaerobic inoculum used for alcohol production from acetate and butyrate.