Dark fermentative biohydrogen production from vinicultural biomass without exogenous inoculum in a semi-batch reactor: A kinetic study

Zineb Guellout; Emilie Francois-Lopez; Yacine Benguerba; Christine Dumas; Krishna Kumar Yadav; Ahmed M Fallatah; Arivalagan Pugazhendhi; Barbara Ernst

doi:10.1016/j.jenvman.2021.114393

Dark fermentative biohydrogen production from vinicultural biomass without exogenous inoculum in a semi-batch reactor: A kinetic study

J Environ Manage. 2022 Mar 1:305:114393. doi: 10.1016/j.jenvman.2021.114393. Epub 2021 Dec 31.

Authors

Zineb Guellout¹, Emilie Francois-Lopez², Yacine Benguerba³, Christine Dumas⁴, Krishna Kumar Yadav⁵, Ahmed M Fallatah⁶, Arivalagan Pugazhendhi⁷, Barbara Ernst⁴

Affiliations

¹ Département de Génie des Procédés, Faculté de Technologie, Université Chahid Mostafa BENBOULAID Batna 2, Algeria; Université de Strasbourg, CNRS, IPHC UMR 7178, Laboratoire de Reconnaissance et Procédés de Séparation Moléculaire (RePSeM), ECPM 25 rue Becquerel, F-67000, Strasbourg, France.
² Université de Strasbourg, CNRS, IPHC UMR 7178, Laboratoire de Reconnaissance et Procédés de Séparation Moléculaire (RePSeM), ECPM 25 rue Becquerel, F-67000, Strasbourg, France; French Environment and Energy Management Agency, Angers, France.
³ Department of Process Engineering, Faculty of Technology, Ferhat Abbas Setif1 University, Setif, Algeria. Electronic address: yacinebenguerba@univ-setif.dz.
⁴ Université de Strasbourg, CNRS, IPHC UMR 7178, Laboratoire de Reconnaissance et Procédés de Séparation Moléculaire (RePSeM), ECPM 25 rue Becquerel, F-67000, Strasbourg, France.
⁵ Faculty of Science and Technology, Madhyanchal Professional University, Ratibad, Bhopal, 462044, India.
⁶ Department of Chemistry College of Science, Taif University, PO Box 11099, Taif, 21944, Saudi Arabia.
⁷ College of Medical and Health Science, Asia University, Taichung, Taiwan. Electronic address: pugal.smile@gmail.com.

PMID: 34979359
DOI: 10.1016/j.jenvman.2021.114393

Abstract

This work employed a unique kind of vinicultural biomass (grape residues) to generate fermentative hydrogen. This form of biomass serves two purposes (contains substrate and inoculum). Four mathematical model methods were established; these models were used to represent the fluctuation of hydrogen generation and other fermentation products (organic acids, alcohols), the consumption of substrates included in biomass, and bacterial growth. One of these models was verified using experimental data and used to represent all of the metabolic pathways of bacteria contained in the medium and the interaction between products and substrates. The optimal biomass load, 60 g COD (Chemical Oxygen Demand)/L with a concentration of 0.22 mol of hexose and 0.0444 mol of tartrate offers the best hydrogen yield.

Keywords: Biohydrogen; Dark-fermentation; Endogenous biomass; Modeling; Parametric sensitivity.

MeSH terms

Biological Oxygen Demand Analysis
Biomass
Bioreactors*
Fermentation
Hydrogen* / analysis

Substances

Hydrogen