AIMC Topic: Cerium

Clear Filters Showing 1 to 10 of 11 articles

Mn,Ce-CDs-Loaded MIL-53(Fe) Nanozymes Multisubstrate Sensor Array Integrated with Multiple Machine Learning Complementary Strategy for Highly Reliable Antioxidant Discrimination and Determination.

Analytical chemistry
Accurate antioxidant detection remains crucial for biomedical and food applications, although conventional methods face persistent challenges including structural similarity interference, instrument dependency, and unreliable detection outcomes. To a...

Machine learning-integrated electrochemical sensing of ciprofloxacin for digital point-of-care therapeutic drug monitoring.

Mikrochimica acta
Timely and precise therapeutic drug monitoring (TDM) is critical for managing pharmacokinetic variability and optimizing individualized therapy, particularly during public health crises such as the COVID-19 pandemic. Herein, we optimized integrated m...

Engineering a Metal-Organic Framework-Dominated Bioinspired Multienzymatic Sensor Array for Portable Detection of Perfluoroalkyl Substances.

Analytical chemistry
Accurate identification of perfluoroalkyl substances (PFASs) is essential for environmental regulation and public health protection. However, current analytical techniques struggle to differentiate PFASs due to their structural similarity. Herein, we...

Nanozyme-based colorimetric sensor arrays coupling with smartphone for discrimination and "segmentation-extraction-regression" deep learning assisted quantification of flavonoids.

Biosensors & bioelectronics
Achieving rapid, cost effective, and intelligent identification and quantification of flavonoids is challenging. For fast and uncomplicated flavonoid determination, a sensing platform of smartphone-coupled colorimetric sensor arrays (electronic noses...

Precise positioning of gamma ray interactions in multiplexed pixelated scintillators using artificial neural networks.

Biomedical physics & engineering express
. The positioning ofray interactions in positron emission tomography (PET) detectors is commonly made through the evaluation of the Anger logic flood histograms. machine learning techniques, leveraging features extracted from signal waveform, have de...

A Study of the Chemistries, Growth Mechanisms, and Antibacterial Properties of Cerium- and Yttrium-Containing Nanoparticles.

ACS biomaterials science & engineering
Under the current climate, physicians prescribe antibiotics for treating bacterial infections, and such a limitation to a single class of drugs is disadvantageous since antibiotic-resistant bacteria have adapted to withstanding their stresses. Antibi...

Using artificial neural network to investigate physiological changes and cerium oxide nanoparticles and cadmium uptake by Brassica napus plants.

Environmental pollution (Barking, Essex : 1987)
Heavy metals and emerging engineered nanoparticles (ENPs) are two current environmental concerns that have attracted considerable attention. Cerium oxide nanoparticles (CeONPs) are now used in a plethora of industrial products, while cadmium (Cd) is ...

Machine-Learning-Based Cyclic Voltammetry Behavior Model for Supercapacitance of Co-Doped Ceria/rGO Nanocomposite.

Journal of chemical information and modeling
This paper examines the cobalt-doped ceria/reduced graphene oxide (Co-CeO/rGO) nanocomposite as a supercapacitor and modeling of its cyclic voltammetry behavior using Artificial Neural Network (ANN) and Random Forest Algorithm (RFA). Good agreement w...

Cerium dioxide nanoparticles did not alter the functional and morphologic characteristics of ram sperm during short-term exposure.

Theriogenology
The aim of the study was to investigate the interaction and the short-term effects of increasing doses of cerium dioxide nanoparticles (CeO2 NPs) on ram spermatozoa, stored at 4 °C for up to 24 hours, on the main functional and kinematic parameters. ...

Intelligent Olfactory System Utilizing Ceria Nanoparticle-Integrated Laser-Induced Graphene.

ACS nano
The digitization of human senses has driven innovation across various technologies and transformed our daily lives, yet the digitization of olfaction remains a challenging frontier. Artificial olfactory systems, or electronic noses (e-noses), offer g...