AIMC Topic: Lignin

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Random forest machine-learning algorithm classifies white- and brown-rot fungi according to the number of the genes encoding Carbohydrate-Active enZyme families.

Applied and environmental microbiology Jun 4, 2024
UNLABELLED: Wood-rotting fungi play an important role in the global carbon cycle because they are the only known organisms that digest wood, the largest carbon stock in nature. In the present study, we used linear discriminant analysis and random for...
Cellulose Random Forest Machine Learning Algorithms Fungal Proteins Carbohydrate Metabolism Wood Fungi Lignin
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Prediction of Individual Gas Yields of Supercritical Water Gasification of Lignocellulosic Biomass by Machine Learning Models.

Molecules (Basel, Switzerland) May 16, 2024
Supercritical water gasification (SCWG) of lignocellulosic biomass is a promising pathway for the production of hydrogen. However, SCWG is a complex thermochemical process, the modeling of which is challenging via conventional methodologies. Therefor...
Neural Networks, Computer Machine Learning Water Support Vector Machine Methane Algorithms Biomass Gases Hydrogen Carbon Dioxide Lignin
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Transfer learning improves predictions in lignin content of Chinese fir based on Raman spectra.

International journal of biological macromolecules May 7, 2024
Lignin in biomass plays significant role in substitution of synthetic polymer and reduction of energy expenditure, and the lignin content was usually determined by wet chemical methods. However, the methods' heavy workload, low efficiency, huge consu...
Machine Learning Lignin Algorithms Cunninghamia Spectrum Analysis, Raman
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Ultrastretchable and highly conductive hydrogels based on Fe- lignin nanoparticles for subzero wearable strain sensor.

International journal of biological macromolecules Sep 6, 2023
Conductive hydrogels have attracted considerable interest for potential applications in soft robotics, electronic skin and human monitoring. However, insufficient mechanical characteristics, low adhesion and unsatisfactory electrical conductivity sev...
Hydrogels Electric Conductivity Humans Artificial Intelligence Nanoparticles Lignin
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A review on modelling of thermochemical processing of biomass for biofuels and prospects of artificial intelligence-enhanced approaches.

Bioresource technology Jul 17, 2023
Biofuels from lignocellulosic biomass converted via thermochemical technologies can be renewable and sustainable, which makes them promising as alternatives to conventional fossil fuels. Prior to building industrial-scale thermochemical conversion pl...
Biofuels Thermodynamics Artificial Intelligence Biomass Lignin
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Structural insights, biocatalytic characteristics, and application prospects of lignin-modifying enzymes for sustainable biotechnology.

International journal of biological macromolecules May 20, 2023
Lignin modifying enzymes (LMEs) have gained widespread recognition in depolymerization of lignin polymers by oxidative cleavage. LMEs are a robust class of biocatalysts that include lignin peroxidase (LiP), manganese peroxidase (MnP), versatile perox...
Laccase Lignin Biotechnology Peroxidases Artificial Intelligence Phenols
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Hepatoprotective Activity of Lignin-Derived Polyphenols Dereplicated Using High-Resolution Mass Spectrometry, In Vivo Experiments, and Deep Learning.

International journal of molecular sciences Dec 16, 2022
Chronic liver diseases affect more than 1 billion people worldwide and represent one of the main public health issues. Nonalcoholic fatty liver disease (NAFLD) accounts for the majority of mortal cases, while there is no currently approved therapeuti...
Non-alcoholic Fatty Liver Disease Lignin Deep Learning Proteomics Mass Spectrometry Humans Polyphenols Molecular Docking Simulation
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RETRACTED: Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis.

Bioresource technology May 7, 2022
This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the authors and the Editor-in-Chief. The article has reused text fr...
Pyrolysis Thermogravimetry Biomass Neural Networks, Computer Kinetics Lignin
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Screening and functional prediction of differentially expressed genes in walnut endocarp during hardening period based on deep neural network under agricultural internet of things.

PloS one Feb 24, 2022
The deep neural network is used to establish a neural network model to solve the problems of low accuracy and poor accuracy of traditional algorithms in screening differentially expressed genes and function prediction during the walnut endocarp harde...
Internet of Things Juglans Fruit Neural Networks, Computer Agriculture Gene Expression Regulation, Plant Lignin Algorithms Seeds
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Machine learning based analysis of reaction phenomena in catalytic lignin depolymerization.

Bioresource technology Dec 7, 2021
Heterogeneously catalyzed lignin solvolysis opens the possibility of transforming low value biomass into high value, useful aromatic chemicals, however, its reaction behavior is poorly understood due to the many possible interactions between reaction...
Catalysis Machine Learning Lignin Biomass
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