AIMC Topic: Hydrogen Peroxide
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A neural network-shaped composite of α-MnO with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples.
The Analyst
Jul 21, 2025
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
Jul 12, 2025
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
Jul 8, 2025
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
Jun 25, 2025
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 ...
Machine learning-powered activatable NIR-II fluorescent nanosensor for in vivo monitoring of plant stress responses.
Nature communications
Jun 2, 2025
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
Apr 5, 2025
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...
A framework predicting removal efficacy of antibiotic resistance genes during disinfection processes with machine learning.
Journal of hazardous materials
Apr 3, 2025
Disinfection has been applied widely for the removal of antibiotic resistance genes (ARGs) to curb the spread of antibiotic resistance. Quantitative polymerase chain reaction (qPCR) is the most used method to quantify the damage of DNA thus calculati...
Machine Learning-Assisted Portable Dual-Readout Biosensor for Visual Detection of Milk Allergen.
Nano letters
Mar 20, 2025
Beta-lactoglobulin (β-LG), the primary allergen in cow's milk, makes developing a rapid, sensitive, and convenient detection method essential for individuals with allergies. In this study, a graphdiyne-based self-powered electrochemical biosensor has...
Graphene-based FETs for advanced biocatalytic profiling: investigating heme peroxidase activity with machine learning insights.
Mikrochimica acta
Mar 3, 2025
Graphene-based field-effect transistors (GFETs) are rapidly gaining recognition as powerful tools for biochemical analysis due to their exceptional sensitivity and specificity. In this study, we utilize a GFET system to explore the peroxidase-based b...
Alternative assessment of machine learning to polynomial regression in response surface methodology for predicting decolorization efficiency in textile wastewater treatment.
Chemosphere
Dec 20, 2024
This study investigated the potential of machine learning (ML) as a substitute for polynomial regression in conventional response surface methodology (RSM) for decolorizing textile wastewater via a UV/HO process. While polynomial regression offers li...
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