AIMC Topic: Hydrogen Peroxide

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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...

A neural network-shaped composite of α-MnO with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples.

The Analyst
A neural network-shaped composite fusing α-MnO and nitrogen-doped graphene (N@Gr/α-MnO) was synthesized a hydrothermal method. The resulting composite demonstrates enhanced electrocatalytic activity for hydrogen peroxide (HO) compared with each sing...

Modification and applications of glucose oxidase: optimization strategies and high-throughput screening technologies.

World journal of microbiology & biotechnology
Glucose oxidase (GOD), an oxidoreductase (EC 1.1.3.4), catalyzes the oxidation of β-D-glucose to gluconic acid using molecular oxygen as the electron acceptor, with concomitant generation of hydrogen peroxide. Owing to its versatile catalytic propert...

Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.

Nature communications
Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicating quality control and clinical predictability. Conventional analytical methods relying on labeling or cell lysis are destructive and incompatible with...

Microrobots for Antibiotic-Resistant Skin Colony Eradication.

ACS applied materials & interfaces
Self-propelled nano- and micromachines have immense potential as autonomous seek-and-act devices in biomedical applications. In this study, we present microrobots constructed with inherently biocompatible materials and propulsion systems tailored to ...

Protective effects of minocycline on dermal fibroblast cells from oxidant and apoptotic effects of HO: A comprehensive analysis with Raman spectroscopy and data-driven approach.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Minocycline (Mino) is an antibiotic with neuroprotective, anti-inflammatory, and antioxidant properties. This study investigated the protective effects of Mino against hydrogen peroxide (HO)-induced oxidative damage in dermal fibroblast cells and ana...

Machine learning-powered activatable NIR-II fluorescent nanosensor for in vivo monitoring of plant stress responses.

Nature communications
Real-time monitoring of plant stress signaling molecules is crucial for early disease diagnosis and prevention. However, existing methods are often invasive and lack sensitivity, rendering them inadequate for continuous monitoring of subtle plant str...

Evaluating degradation efficiency of pesticides by persulfate, Fenton, and ozonation oxidation processes with machine learning.

Environmental research
Quantifying organic properties is pivotal for enhancing the precision and interpretability of degradation predictive machine learning (ML) models. This study used Binary Morgan Fingerprints (B-MF) and Count-Based Morgan Fingerprints (C-MF) to quantif...