AIMC Topic: Catalysis

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Nonmagnetic Biomarker Detection by Nanocatalytic-Amplified Quantum Spin Relaxometry.

ACS nano
Nitrogen-vacancy (NV) centers in diamond demonstrate advantages in biosensing due to their exceptional photostability and long spin coherence time. However, clinical applications of NV centers are significantly limited because their spin states lack ...

Layered double hydroxides and layered double oxides: Multifunctional catalysts for the detection, degradation, and transformation of phenolic compounds in environmental applications.

Environmental research
Phenolic compounds are persistent pollutants in industrial effluents, necessitating integrated strategies for their detection, degradation, and transformation. Layered double hydroxides (LDHs) and their calcined derivatives, layered double oxides (LD...

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...

Identification of cariogenic bacteria by click chemistry mediated polyethylene glycolized graphyne nanozymes.

Mikrochimica acta
Dental caries, one of the most common oral diseases, is mainly induced by multiple cariogenic bacteria in the oral microenvironment, so it is important to construct a method that can identify oral multiply cariogenic bacteria. Herein, a machine learn...

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...

Dual-Channel Catalytic Immunochromatography Empowered by Machine Learning: Ultrasensitive Detection of O157:H7 via Magnetic CoFeO@HRP Nanocomposites.

Analytical chemistry
Traditional immunochromatographic test strips face significant limitations in detecting trace levels of O157:H7 due to insufficient sensitivity and reliability. To address this challenge, we developed a novel "three-In-One" nanoplatform based on mag...

Photocatalytic microrobots for treating bacterial infections deep within sinuses.

Science robotics
Microrobotic techniques are promising for treating biofilm infections located deep within the human body. However, the presence of highly viscous pus presents a formidable biological barrier, severely restricting targeted and minimally invasive treat...

High-entropy nanozyme biosensors: Machine learning-assisted design and stimulus-responsive applications.

Colloids and surfaces. B, Biointerfaces
High-entropy nanozymes (HENs) have emerged as a revolutionary class of bio-inspired catalysts that integrate multi-enzyme mimetic activities with environmental responsiveness, creating transformative opportunities for next-generation biosensing techn...

Machine Learning Driven Synthesis of Cobalt Oxide Entrapped Heteroatom-Doped Graphitic Carbon Nitride for Enhanced Oxygen Evolution Reaction.

PloS one
Developing highly efficient electrocatalysts for the oxygen evolution reaction is hindered by sluggish multi-electron kinetics, poor charge transfer efficiency, and limited active site accessibility. Transition metal-based electrocatalysts, such as c...

Developing Pharmaceutically Relevant Pd-Catalyzed C-N Coupling Reactivity Models Leveraging High-Throughput Experimentation.

Journal of the American Chemical Society
This manuscript presents machine learning models for Pd-catalyzed C-N couplings constructed using a large, pharmaceutically relevant, structurally diverse dataset (4204 unique products) generated using high-throughput experimentation. The dataset ge...