AIMC Topic: Biomass

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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 Machine Learning Methane Biomass Lignin Support Vector Machine Principal Component Analysis Neural Networks, Computer
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Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment.

BMC plant biology Jul 2, 2025
BACKGROUND: Plant growth regulators (PGRs) have proven effective in alleviating salt stress damage in crops, yet the predictive hierarchy of physiological traits governing biomass under combined salt-PGR regimes remains unclear. In this study, we app...
Biomass Hexanes Calcium Compounds Malondialdehyde Oryza Salt Stress Plant Growth Regulators Photosynthesis
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Risk-reward trade-off during carbon starvation generates dichotomy in motility endurance among marine bacteria.

Nature microbiology May 26, 2025
Copiotrophic marine bacteria contribute to the control of carbon storage in the ocean by remineralizing organic matter. Motility presents copiotrophs with a risk-reward trade-off: it is highly beneficial in seeking out sparse nutrient hotspots, but e...
Carbon Cycle Bacterial Physiological Phenomena Seawater Biomass Bacteria Carbon Aquatic Organisms
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Unveiling the factors shaping variability in biomass productivity: Meta-analysis of outdoor pilot-scale microalgal cultures.

Bioresource technology Apr 21, 2025
Meta-analysis and machine learning is used to investigate factors influencing variation in biomass productivity in outdoor algal systems. Understanding these factors is essential for optimizing algal systems. Mean productivity across the analysed stu...
Pilot Projects Machine Learning Temperature Hydrogen-Ion Concentration Biomass Microalgae
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Application of explainable machine learning in the production of pullulan by Aureobasidium pullulans CGMCCNO.7055.

International journal of biological macromolecules Mar 24, 2025
The application of machine learning in pullulan biofermentation has demonstrated significant potential. Explainable machine learning enhances model transparency and interpretability by revealing the relationships between variables. In this study, we ...
Molecular Weight Glucans Hydrogen-Ion Concentration Fermentation Aureobasidium Machine Learning Algorithms Biomass
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Genetic algorithm-optimized artificial neural network for multi-objective optimization of biomass and exopolysaccharide production by Haloferax mediterranei.

Bioprocess and biosystems engineering Mar 22, 2025
Microbial production of industrially important exopolysaccharide (EPS) from extremophiles has several advantages. In this study, key media components (i.e., sucrose, yeast extract, and urea) were optimized for biomass growth and extracellular EPS pro...
Haloferax mediterranei Polysaccharides, Bacterial Algorithms Genetic Algorithms Biomass Neural Networks, Computer
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Integrating Proximal and Remote Sensing with Machine Learning for Pasture Biomass Estimation.

Sensors (Basel, Switzerland) Mar 22, 2025
This study tackles the challenge of accurately estimating pasture biomass by integrating proximal sensing, remote sensing, and machine learning techniques. Field measurements of vegetation height collected using the PaddockTrac ultrasonic sensor were...
Remote Sensing Technology Biomass Machine Learning Agriculture Algorithms
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Machine learning-assisted prediction of gas production during co-pyrolysis of biomass and waste plastics.

Waste management (New York, N.Y.) Mar 18, 2025
A general method for predicting gas yield is crucial in biomass and plastics co-pyrolysis. This study employed two machine learning methods to forecast gas yield in co-pyrolysis. Comparing the predictive performance of Support Vector Regression (SVR)...
Biomass Machine Learning Plastics Gases Pyrolysis
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Biological-chemical conversion process design and machine learning-related life cycle assessment: Bio-lubricant production in a real case study of South Korea.

Journal of environmental management Mar 9, 2025
This study explores the production of poly alpha olefin (PAO) from biomass as an environmentally friendly alternative to fossil fuel-based methods, aiming to reduce greenhouse gas (GHG) emissions. The primary goal is to design a process for convertin...
Biomass Greenhouse Gases Machine Learning Republic of Korea
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Sustainable extraction of phytochemicals from Mentha arvensis using supramolecular eutectic solvent via microwave Irradiation: Unveiling insights with CatBoost-Driven feature analysis.

Ultrasonics sonochemistry Mar 4, 2025
The present study revealed the higher extraction potential of sustainable choline chloride (ChCl) and ethylene glycol (EG) based deep eutectic solvent (DES) from Mentha arvensis via microwave irradiation. The categorical boosting (CatBoost) machine l...
Deep Eutectic Solvents Boosting Machine Learning Algorithms Chemical Fractionation Machine Learning Microwaves Biomass Mentha Solvents Phytochemicals
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