AIMC Topic: Lignin

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Synthesis and characterization of lignin-copper nanohybrids for colorimetric acetaminophen detection: a combined physical chemistry and machine learning study.

Physical chemistry chemical physics : PCCP Jul 30, 2025
Acetaminophen ranks among the most widely used pharmaceutical and personal care products today. Following consumption, the drug and its metabolites are excreted into sewage systems, wastewater treatment plants, and various aquatic environments, leadi...
Wastewater Colorimetry Machine Learning Copper Lignin Acetaminophen Water Pollutants, Chemical Limit of Detection
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Application of multimodal machine learning-based analysis for the biomethane yields of NaOH-pretreated biomass.

Scientific reports Jul 8, 2025
This study investigated the impact of alkaline pretreatment on the biomethane yield of Xyris capensis experimentally and computationally using machine-learning (ML)-based techniques. Despite extensive studies on the anaerobic digestion of lignocellul...
Sodium Hydroxide Biomass Support Vector Machine Methane Lignin Principal Component Analysis Neural Networks, Computer Machine Learning
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In-situ conversion of hemicellulose to furfural by Lewis acid-enhanced deep eutectic solvents to maintain stable pretreatment performance and trigger profitable biorefining processes.

International journal of biological macromolecules Apr 30, 2025
Deep eutectic solvents (DESs) are gaining attention for lignocellulose pretreatment, yet screening methods and stable cyclic processes remain underexplored. This study compared solubility and machine learning to predict delignification, screening the...
Lignin Hydrolysis Furaldehyde Catalysis Polysaccharides Deep Eutectic Solvents Lewis Acids
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Deep learning-aided preparation and mechanism revaluation of waste wood lignocellulose-based flame-retardant composites.

International journal of biological macromolecules Mar 3, 2025
Wood and its derivatives play a decisive role in traditional Chinese architecture. Waste wood as a major source of garbage in the construction industry represents a valuable source. The efficient recycling of waste wood has become an urgent technical...
Wood Phytic Acid Tannins Flame Retardants Deep Learning Lignin
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Advanced machine learning-driven characterization of new natural cellulosic Lablab purpureus fibers through PCA and K-means clustering techniques.

International journal of biological macromolecules Mar 2, 2025
The increasing demand for sustainable and eco-friendly materials has spurred significant interest in natural fibers as alternatives to synthetic reinforcements in composite applications. This study aims to explore the potential of Lablab purpureus fi...
X-Ray Diffraction Tensile Strength Polysaccharides Lignin Machine Learning Spectroscopy, Fourier Transform Infrared Cluster Analysis Principal Component Analysis Cellulose
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A review on the role of various machine learning algorithms in microwave-assisted pyrolysis of lignocellulosic biomass waste.

Journal of environmental management Nov 11, 2024
The fourth industrial revolution will heavily rely on machine learning (ML). The rationale is that these strategies make various business operations in many sectors easier. ML modeling is the discovery of hidden patterns between multiple process para...
Lignin Microwaves Algorithms Biomass Pyrolysis Machine Learning
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Machine learning prediction of stalk lignin content using Fourier transform infrared spectroscopy in large scale maize germplasm.

International journal of biological macromolecules Sep 28, 2024
Lignin has been recognized as a major factor contributing to lignocellulosic recalcitrance in biofuel production and attracted attentions as a high-value product in the biorefinery field. As the traditional wet chemical methods for detecting lignin c...
Machine Learning Algorithms Principal Component Analysis Spectroscopy, Fourier Transform Infrared Lignin Zea mays
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Machine learning-aided unveiling the relationship between chemical pretreatment and methane production of lignocellulosic waste.

Waste management (New York, N.Y.) Jul 27, 2024
Chemical pretreatment is a common method to enhance the cumulative methane yield (CMY) of lignocellulosic waste (LW) but its effectiveness is subject to various factors, and accurate estimation of methane production of pretreated LW remains a challen...
Machine Learning Biofuels Refuse Disposal Methane Lignin
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A flexible, stretchable and wearable strain sensor based on physical eutectogels for deep learning-assisted motion identification.

Journal of materials chemistry. B Jun 27, 2024
Physical eutectogels as a newly emerging type of conductive gel have gained extensive interest for the next generation multifunctional electronic devices. Nevertheless, some obstacles, including weak mechanical performance, low self-adhesive strength...
Lignin Electric Conductivity Choline Humans Gels Wearable Electronic Devices Deep Eutectic Solvents Deep Learning Particle Size Acrylates
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Machine learning-aided engineering of a cytochrome P450 for optimal bioconversion of lignin fragments.

Physical chemistry chemical physics : PCCP Jun 26, 2024
Using machine learning, molecular dynamics simulations, and density functional theory calculations we gain insight into the selectivity patterns of substrate activation by the cytochromes P450. In nature, the reactions catalyzed by the P450s lead to ...
Cytochrome P-450 Enzyme System Molecular Dynamics Simulation Protein Engineering Lignin Machine Learning Density Functional Theory
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