AIMC Topic: Oxidation-Reduction

Clear Filters Showing 101 to 110 of 123 articles

TP-Transformer: An Interpretable Model for Predicting the Transformation Pathways of Organic Pollutants in Chemical Oxidation Processes.

Environmental science & technology Aug 5, 2025
Chemical oxidation is pivotal in remediating organic pollutants in aquatic systems; however, it frequently yields transformation products (TPs) with potential toxicological profiles surpassing those of the parent pollutants. Comprehensive identificat...
Oxidation-Reduction Organic Chemicals Water Pollutants, Chemical
View on PubMed DOI

Machine Learning-Assisted Prediction and Exploration of the Homogeneous Oxidation of Mercury in Coal Combustion Flue Gas.

Environmental science & technology Jun 10, 2025
Mercury emission from coal combustion flue gas is a significant environmental concern due to its detrimental effects on ecosystems and human health. Elemental mercury (Hg) is the dominant species in flue gas and is hard to immobilize. Therefore, it i...
Coal Mercury Oxidation-Reduction Air Pollutants Machine Learning
View on PubMed DOI

Predicting Oxidation Potentials with DFT-Driven Machine Learning.

Journal of chemical information and modeling Jun 9, 2025
We introduce OxPot, a comprehensive open-access data set comprising over 15 thousand chemically diverse organic molecules. Leveraging the precision of DFT-derived highest occupied molecular orbital energies (), OxPot serves as a robust platform for a...
Density Functional Theory Machine Learning Oxidation-Reduction
View on PubMed DOI

Intelligent FA/FNA alternating strategy for nitrite-oxidizing bacteria inhibition: Data-driven prediction and process control.

Journal of environmental management Jun 1, 2025
Alternating treatment with free ammonia (FA) and free nitrous acid (FNA) is an effective strategy to inhibit nitrite-oxidizing bacteria (NOB) in partial nitrification (PN) process. However, the current alternating treatment relies on manual assessmen...
Oxidation-Reduction Bioreactors Nitrites Bacteria Support Vector Machine Ammonia Nitrification Nitrous Acid
View on PubMed DOI

Prediction of enhanced coagulation with varied pre-oxidations for seasonal variations of cyanobacteria-dominated algae-laden water quality.

Journal of environmental management Jun 1, 2025
Enhanced coagulation with pre-oxidation is a cost-effective approach for managing seasonal water quality pollution caused by algal outbreaks and deaths. The synergistic application of pre-oxidants and coagulants, coupled with intelligent and precise ...
Seasons Water Quality Potassium Compounds Potassium Permanganate Cyanobacteria Oxidation-Reduction Water Purification
View on PubMed DOI

Quantitative determination of acid value in palm oil during thermal oxidation using Raman spectroscopy combined with deep learning models.

Food chemistry May 15, 2025
Accurate monitoring of acid value (AV) is critical for edible oil quality control, yet traditional chemometric methods often face limitations in handling complex spectral data. This study combines Raman spectroscopy with deep learning, including Conv...
Acids Spectrum Analysis, Raman Neural Networks, Computer Oxidation-Reduction Hot Temperature Deep Learning Palm Oil
View on PubMed DOI

Machine Learning-Assisted Molecular Structure Embedding for Accurate Prediction of Emerging Contaminant Removal by Ozonation Oxidation.

Environmental science & technology May 13, 2025
Ozone has demonstrated high efficacy in depredating emerging contaminants (ECs) during drinking water treatment. However, traditional quantitative structure-activation relationship (QSAR) models often fall short in effectively normalizing and charact...
Neural Networks, Computer Machine Learning Ozone Quantitative Structure-Activity Relationship Oxidation-Reduction Molecular Structure Water Purification Water Pollutants, Chemical
View on PubMed DOI

Machine learning-assisted surface-enhanced raman spectroscopy for the rapid determination of the glutathione redox ratio.

The Analyst May 12, 2025
Rapid and accurate detection of glutathione in its reduced (GSH) and oxidized (GSSG) forms is essential for monitoring oxidative stress in biological systems. Oxidative stress is a key indicator of various diseases, and glutathione plays a vital role...
Support Vector Machine Algorithms Machine Learning Oxidation-Reduction Glutathione Glutathione Disulfide Spectrum Analysis, Raman
View on PubMed DOI

CHCHD4 Oxidoreductase Activity: A Comprehensive Analysis of the Molecular, Functional, and Structural Properties of Its Redox-Regulated Substrates.

Molecules (Basel, Switzerland) May 10, 2025
The human CHCHD4 protein, which is a prototypical family member, carries a coiled-coil-helix-coiled-coil-helix motif that is stabilized by two disulfide bonds. Using its CPC sequence motif, CHCHD4 plays a key role in mitochondrial metabolism, cell su...
Oxidation-Reduction Models, Molecular Humans Oxidoreductases Mitochondrial Proteins Mitochondria Substrate Specificity Mitochondrial Precursor Protein Import Complex Proteins
View on PubMed DOI

Estimation of mesophyll conductance in Ginkgo biloba from the PSII redox state using a machine learning approach.

Tree physiology Mar 28, 2025
Mesophyll conductance (gm) has been proved to be one of the important factors limiting photosynthesis and thus affects the estimation of plant productivity and terrestrial carbon balance. However, beyond the leaf scale, gm is usually assumed to be in...
Photosystem II Protein Complex Mesophyll Cells Machine Learning Ginkgo biloba Plant Leaves Photosynthesis Oxidation-Reduction
View on PubMed DOI
Popular Topics
Recent Journals