AIMC Topic: Hydrogen-Ion Concentration

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Infrared thermography of beef carcasses and random forest algorithm to predict temperature and pH of Longissimus thoracis on carcasses.

Meat science Apr 10, 2025
This study aimed to evaluate the use of infrared thermography (IRT) as a method for predicting the initial and ultimate temperature, as well as the pH, of the Longissimus thoracis in beef carcasses (LTBC). A total of 102 beef carcasses, consisting of...
Thermography Refrigeration Red Meat Infrared Rays Male Cattle Temperature Random Forest Animals Hydrogen-Ion Concentration Muscle, Skeletal Algorithms
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ESM-Ezy: a deep learning strategy for the mining of novel multicopper oxidases with superior properties.

Nature communications Apr 6, 2025
The UniProt database is a valuable resource for biocatalyst discovery, yet predicting enzymatic functions remains challenging, especially for low-similarity sequences. Identifying superior enzymes with enhanced catalytic properties is even harder. To...
Hydrogen-Ion Concentration Data Mining Biocatalysis Deep Learning Databases, Protein Oxidoreductases
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Optimizing agarase production from sp. using response surface methodology and machine learning models.

Environmental technology Apr 5, 2025
Agarase enzymes are critical in industries like food, cosmetics, and medicine where they play a critical role in DNA recovery, food gelling, cosmetic formulations, and waste treatment. However, current agarase sources often face limitations related t...
Machine Learning Glycoside Hydrolases Agar Alteromonadaceae Temperature Hydrogen-Ion Concentration
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HEPOM: Using Graph Neural Networks for the Accelerated Predictions of Hydrolysis Free Energies in Different pH Conditions.

Journal of chemical information and modeling Apr 4, 2025
Hydrolysis is a fundamental family of chemical reactions where water facilitates the cleavage of bonds. The process is ubiquitous in biological and chemical systems, owing to water's remarkable versatility as a solvent. However, accurately predicting...
Hydrogen-Ion Concentration Hydrolysis Thermodynamics Neural Networks, Computer Graph Neural Networks
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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 ...
Biomass Machine Learning Molecular Weight Aureobasidium Hydrogen-Ion Concentration Algorithms Glucans Fermentation
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A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction.

Journal of chemical information and modeling Mar 24, 2025
The potential of hydrogen (pH) influences the function of the enzyme. Measuring or predicting the optimal pH (pH) at which enzymes exhibit maximal catalytic activity is crucial for enzyme design and application. The rapid development of enzyme mining...
Hydrogen-Ion Concentration Enzymes Algorithms Deep Learning
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Deep-learning-assisted chemo-responsive alizarin red S-based hydrogel sensor for the rapid freshness sensing of aquatic product.

Food research international (Ottawa, Ont.) Mar 15, 2025
Rapid detection of freshness particularly in aquatic products demands efficient sensing strategies. Here, a novel deep-learning-assisted chemo-responsive alizarin red S-based hydrogel sensing platform was established for rapid freshness assay of aqua...
Fishes Food Analysis Animals Hydrogels Seafood Deep Learning Hydrogen-Ion Concentration Anthraquinones Alginates
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Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach.

Bioresource technology Mar 11, 2025
This study introduces an interpretable machine learning framework to predict nitrogen removal in membrane bioreactor (MBR) treating high-salinity wastewater. By integrating Shapley additive explanations (SHAP) with Categorical Boosting (CatBoost), we...
Water Purification Carbon Nitrogen Hydrogen-Ion Concentration Bioreactors Machine Learning Wastewater Biological Oxygen Demand Analysis Salinity
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Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization.

International journal of biological macromolecules Mar 8, 2025
This study aimed to optimize pectin extraction from watermelon (Citrullus lanatus) rind using sequential ultrasound-microwave assisted extraction (UMAE) with artificial neural network (ANN) and response surface methodology (RSM). The effects of pH, s...
Sonication Pectins Citrullus Chemical Fractionation Microwaves Viscosity Neural Networks, Computer Ultrasonic Waves Spectroscopy, Fourier Transform Infrared Hydrogen-Ion Concentration
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Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province.

Environmental monitoring and assessment Mar 8, 2025
Comprehensive and accurate acquisition of surface soil pH spatial distribution information is essential for monitoring soil degradation and providing scientific guidance for agricultural practices. This study focused on Heilongjiang Province in China...
China Environmental Monitoring Models, Chemical Hydrogen-Ion Concentration Support Vector Machine Machine Learning Soil
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