AIMC Topic: Biomass

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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...
Malondialdehyde Oryza Biomass Plant Growth Regulators Hexanes Photosynthesis Salt Stress Calcium Compounds
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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 Bacteria Carbon Bacterial Physiological Phenomena Biomass Seawater Aquatic Organisms
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Predicting single-cell protein production from food-processing wastewater in sequencing batch reactors using ensemble learning.

Bioresource technology Apr 19, 2025
Producing single-cell protein (SCP) from food-processing wastewater offers a sustainable approach to resource recovery, animal feed production, and wastewater treatment. Decision-makers need accurate system performance data under variable influent co...
Batch Cell Culture Techniques Dietary Proteins Algorithms Biomass Ensemble Learning Food-Processing Industry Bioreactors Machine Learning Wastewater
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Pyrolysis mechanism study on xylose by combining experiments, chemical reaction neural networks and density functional theory.

Bioresource technology Apr 11, 2025
Chemical reaction neural networks (CRNN) and density functional theory (DFT) are gaining attention in biomass pyrolysis mechanism research. Reaction pathways are often speculated based on a single method, influenced by expert knowledge. To address th...
Neural Networks, Computer Biomass Models, Chemical Kinetics Polysaccharides Spectroscopy, Fourier Transform Infrared Density Functional Theory Xylose Pyrolysis Thermogravimetry
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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 Machine Learning Algorithms Aureobasidium 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...
Genetic Algorithms Haloferax mediterranei Algorithms Neural Networks, Computer Biomass Polysaccharides, Bacterial
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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)...
Plastics Gases Pyrolysis Machine Learning Biomass
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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...
Machine Learning Republic of Korea Biomass Greenhouse Gases
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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 Phytochemicals Mentha Chemical Fractionation Solvents Machine Learning Biomass Microwaves
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