AIMC Topic: Oxidation-Reduction

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Machine Learning for Separating Dopamine and Octopamine Electrochemical Signals in Drosophila.

Analytical chemistry
, the fruit fly, uses the neurotransmitters dopamine and octopamine to mediate learning, enabling adaptive behaviors such as reward seeking and punishment avoidance. Their colocalization in the mushroom bodies makes it challenging to study their indi...

Adsorption Energy Prediction Model for CO Reduction on Electrocatalysts Containing Previously Unencountered Metal Elements.

Journal of chemical information and modeling
Electrochemical carbon dioxide reduction (CORR) using electrocatalysts has gained attention for its potential to convert atmospheric CO into value-added chemicals. Recently, machine learning (ML) has emerged as a promising approach for catalyst devel...

Reactivity of Benzoylperoxy Radicals with Monoterpenes: One-Step Reaction to Form Low-Volatility Organic Compounds.

Environmental science & technology
Oxidation of volatile organic compounds (VOCs) significantly impacts air quality and climate by contributing to ozone and secondary organic aerosol (SOA) formation. Accurate representation of VOC oxidation in atmospheric models is essential but chall...

The Redox Properties of Polyphenols and Their Role in ROS Generation for Biomedical Applications.

Angewandte Chemie (International ed. in English)
Polyphenols, particularly catechols, represent a significant class of compounds characterized by their versatile physicochemical and biological properties, sourced from both natural origins and industrial by-products. This review highlights their cri...

Ferrous Oxidation-Driven Adsorptive and Oxidative Transformation Boosts Electron Exchange Capacity of Dissolved Organic Matter: Environmental Implications.

Environmental science & technology
Dissolved organic matter (DOM) plays an important role in microbial electron transfer, influencing elemental biogeochemical cycles and pollutant fate. However, its electron exchange capacity (EEC) can be strongly altered by ferrous {Fe(II)} oxidation...

Data-Driven Recursive Kinetic Modeling for Fenton Reaction.

Environmental science & technology
The Fenton reaction is a widely used advanced oxidation process for water purification, valued for its simplicity and effectiveness in degrading refractory organic pollutants. However, accurately modeling its degradation kinetics remains challenging ...

Colorimetric sensor array for flavonoids recognition based on peroxidase-like FeCo nanosheet.

Food chemistry
Flavonoids themselves have antioxidant, anti-inflammatory, anticancer, and antiviral effects, so it is necessary to conduct rapid, efficient, and intelligent identification and quantitative analysis of flavonoids. Herein, based on the differential co...

Hierarchical machine learning-based prediction for ultrasonic degradation of organic pollutants using sonocatalysts.

Environmental research
Ultrasound-based advanced oxidation processes (AOPs) are effective for degrading organic pollutants, with hydrogen peroxide (HO) acting as a key intermediate in radical generation and overall degradation efficiency. However, conventional machine lear...

Applying stacked machine learning models to guide electrochemical oxidation of antibiotics: Key parameter identification and process optimization insights.

Journal of environmental management
The continuous accumulation of antibiotics in the environment has become an increasingly concerned global environmental problem. Electrochemical advanced oxidation processes (EAOPs) have been attracted much attention in antibiotic degradation due to ...

Biomacromolecular engineering of redox-active chitosan-polypyrrole-clay hybrid materials for machine learning-assisted desulfurization and supercapacitor application.

International journal of biological macromolecules
The bentonite chitosan polypyrrole (Bent-CS-PPy) composite was engineered as a multifunctional material with dual capabilities: the efficient adsorption of dibenzothiophene (DBT) from model fuel and application as an electrode in electrochemical ener...