AIMC Topic: Lignin
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Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data.
International journal of molecular sciences
Apr 15, 2021
High-throughput analysis of biomass is necessary to ensure consistent and uniform feedstocks for agricultural and bioenergy applications and is needed to inform genomics and systems biology models. Pyrolysis followed by mass spectrometry such as mole...
Lignin-Incorporated Nanogel Serving As an Antioxidant Biomaterial for Wound Healing.
ACS applied bio materials
Oct 1, 2020
Oxidative phosphorylation is an important biological process in the body to produce energy, during which oxygen free radicals are generated as byproduct. Excessive oxygen free radicals cause cell death and reduce the rate of tissue regeneration and h...
A Comparison between Several Response Surface Methodology Designs and a Neural Network Model to Optimise the Oxidation Conditions of a Lignocellulosic Blend.
Biomolecules
May 19, 2020
In this paper, response surface methodology (RSM) designs and an artificial neural network (ANN) are used to obtain the optimal conditions for the oxy-combustion of a corn-rape blend. The ignition temperature () and burnout index () were selected as ...
Enrichment of thermophilic and mesophilic microbial consortia for efficient degradation of corn stalk.
Journal of environmental sciences (China)
Jul 29, 2018
Six different environmental samples were applied to enrich microbial consortia for efficient degradation of corn stalk, under the thermophilic and mesophilic conditions. The consortium obtained from anaerobic digested sludge under thermophilic condit...
Electrohydrolysis pretreatment for enhanced methane production from lignocellulose waste pulp and paper mill sludge and its kinetics.
Bioresource technology
Dec 29, 2017
A novel electrohydrolysis pretreatment enhances methane production from lignocellulose material during anaerobic digestion. A biochemical methane potential assay was carried out to determine the effect of direct current and the efficacy of electrohyd...
Improving methane production from anaerobic digestion of Pennisetum Hybrid by alkaline pretreatment.
Bioresource technology
Dec 6, 2017
Alkaline pretreatment with NaOH was used to improve methane yield from Pennisetum Hybrid. The pretreatments were carried out with different NaOH solutions (2-8% w/w) at three temperatures (35, 55 and 121 °C) for different periods of time (24, 24 and ...
Fuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass.
Bioprocess and biosystems engineering
Feb 25, 2016
A fuzzy logic feedback control system was developed for process monitoring and feeding control in fed-batch enzymatic hydrolysis of a lignocellulosic biomass, dilute acid-pretreated corn stover. Digested glucose from hydrolysis reaction was assigned ...
Production of Monomeric Aromatic Compounds from Oil Palm Empty Fruit Bunch Fiber Lignin by Chemical and Enzymatic Methods.
BioMed research international
Dec 22, 2015
In this study, oil palm empty fruit bunch (OPEFBF) was pretreated with alkali, and lignin was extracted for further degradation into lower molecular weight phenolic compounds using enzymes and chemical means. Efficiency of monomeric aromatic compound...
mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support.
Database : the journal of biological databases and curation
Mar 8, 2015
Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and...
Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling.
Bioresource technology
Feb 11, 2015
The present investigation was carried out to study application of ANN as a tool for predicting sugar yields of pretreated biomass during hydrolysis process at various time intervals. Since it is known that biomass loading and particle size influences...
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