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A Review Of Biohydrogen Productions From Lignocellulosic Precursor Via Dark Fermentation: Perspective On Hydrolysate Composition And Electron‐Equivalent Balance, Yiyang Liu, Jingluo Min, Xingyu Feng, Yue He, Jinze Liu, Yixiao Wang, Jun He, Hainam Do, Valerie Sage, Gang Yang, Yong Sun
A Review Of Biohydrogen Productions From Lignocellulosic Precursor Via Dark Fermentation: Perspective On Hydrolysate Composition And Electron‐Equivalent Balance, Yiyang Liu, Jingluo Min, Xingyu Feng, Yue He, Jinze Liu, Yixiao Wang, Jun He, Hainam Do, Valerie Sage, Gang Yang, Yong Sun
Research outputs 2014 to 2021
This paper reviews the current technological development of bio-hydrogen (BioH2) generation, focusing on using lignocellulosic feedstock via dark fermentation (DF). Using the collected reference reports as the training data set, supervised machine learning via the constructed artificial neuron networks (ANNs) imbedded with feed backward propagation and one cross-out validation approach was deployed to establish correlations between the carbon sources (glucose and xylose) together with the inhibitors (acetate and other inhibitors, such as furfural and aromatic compounds), hydrogen yield (HY), and hydrogen evolution rate (HER) from reported works. Through the statistical analysis, the concentrations variations of glucose (F-value = …