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.
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.
J Environ Manage. 2022 Mar 1;305:114393. doi: 10.1016/j.jenvman.2021.114393. Epub 2021 Dec 31.
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.
这项工作采用了一种独特的葡萄渣（酿酒生物质）来产生发酵氢。这种生物质有两种用途（包含基质和接种物）。建立了四种数学模型方法；这些模型用于表示氢气生成和其他发酵产物（有机酸、醇）的波动、生物质中包含的基质的消耗以及细菌的生长。其中一个模型使用实验数据进行了验证，并用于表示介质中包含的细菌的所有代谢途径以及产物和基质之间的相互作用。最佳生物质负荷为 60g COD（化学需氧量）/L，葡萄糖浓度为 0.22mol，酒石酸浓度为 0.0444mol，可获得最佳产氢量。
