AIMC Topic: Copper

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Deciphering the role of cuproptosis in the development of intimal hyperplasia in rat carotid arteries using single cell analysis and machine learning techniques.

Scientific reports Feb 12, 2025
UNLABELLED: This study aims to explore the regulatory role of cuproptosis in carotid intimal hyperplasia (IH), providing new insights into its pathophysiological mechanisms and potential diagnostic and therapeutic strategies.
Male Transcriptome Single-Cell Analysis Machine Learning Animals Neointima Carotid Arteries Hyperplasia Tunica Intima Rats Rats, Sprague-Dawley Copper
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Machine learning assisted multi-signal nanozyme sensor array for the antioxidant phenolic compounds intelligent recognition.

Food chemistry Jan 7, 2025
Identifying antioxidant phenolic compounds (APs) in food plays a crucial role in understanding their biological functions and associated health benefits. Here, a bifunctional Cu-1,3,5-benzenetricarboxylic acid (Cu-BTC) nanozyme was successfully prepa...
Tea Phenols Copper Machine Learning Colorimetry Antioxidants Wine Neural Networks, Computer
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Deep learning approaches for classification of copper-containing metal scrap in recycling processes.

Waste management (New York, N.Y.) Oct 24, 2024
Separating copper from iron scrap is a critical operation in metal recycling and achieving this with low cost sensoric equipment like RGB cameras instead of XRF/XRT is becoming increasingly attractive. In this article, the groundwork for creating an ...
Recycling Deep Learning Iron Copper
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Derivation of marine water quality criteria for copper based on artificial neural network model.

Environmental pollution (Barking, Essex : 1987) Oct 21, 2024
The water chemical effects of copper have been a focus in the study of water quality criteria (WQC). Currently, multiple regression models are commonly used to quantitatively describe the impact of environmental factors on Cu toxicity in WQC studies....
Environmental Monitoring Water Pollutants, Chemical Copper Water Quality Seawater Neural Networks, Computer Animals
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Cuprospinel decorated biopolymer functionalized CNFs based electrocatalytic platform integrated with grid search optimized neural network for detection of vital amino acid in beverages.

Food chemistry Oct 5, 2024
An electrocatalytic platform based on a novel nanocomposite integrated with a grid search-optimized neural network (GSNN) was proposed for intelligent sensing of tryptophan. The cuprospinel-decorated chitosan-functionalized carbon nanofibers (CuFeO/C...
Copper Solanum lycopersicum Beverages Electrochemical Techniques Limit of Detection Catalysis Milk Tryptophan Nanofibers Biopolymers Electrodes Nanocomposites Fruit and Vegetable Juices Neural Networks, Computer Carbon Animals Chitosan Oxidation-Reduction
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Machine learning-assisted laccase-like activity nanozyme for intelligently onsite real-time and dynamic analysis of pyrethroid pesticides.

Journal of hazardous materials Sep 30, 2024
The intelligently efficient, reliable, economical and portable onsite assay toward pyrethroid pesticides (PPs) residues is critical for food safety analysis and environmental pollution traceability. Here, a fluorescent nanozyme Cu-ATP@ [Ru(bpy)] with...
Pesticide Residues Machine Learning Laccase Pyrethrins Colorimetry Pesticides Food Contamination Copper
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Machine Learning-Based Nanozyme Sensor Array as an Electronic Tongue for the Discrimination of Endogenous Phenolic Compounds in Food.

Analytical chemistry Sep 26, 2024
The detection of endogenous phenolic compounds (EPs) in food is of great significance in elucidating their bioactivity and health effects. Here, a novel bifunctional vanillic acid-Cu (VA-Cu) nanozyme with peroxidase-like and laccase-like activities w...
Copper Laccase Nanostructures Honey Fruit and Vegetable Juices Benzidines Food Analysis Tea Peroxidase Phenols Neural Networks, Computer Electronic Nose Machine Learning Vanillic Acid
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Machine learning-assisted melamine-Cu nanozyme and cholinesterase integrated array for multi-category pesticide intelligent recognition.

Biosensors & bioelectronics Sep 4, 2024
Expanding target pesticide species and intelligent pesticide recognition were formidable challenges for existing cholinesterase inhibition methods. To improve this status, multi-active Mel-Cu nanozyme with mimetic Cu-N sites was prepared for the firs...
Copper Acetylcholinesterase Cholinesterase Inhibitors Pesticides Triazines Butyrylcholinesterase Machine Learning Biosensing Techniques Limit of Detection
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Machine vision-based detection of forbidden elements in the high-speed automatic scrap sorting line.

Waste management (New York, N.Y.) Aug 30, 2024
Highly efficient industrial sorting lines require fast and reliable classification methods. Various types of sensors are used to measure the features of an object to determine which output class it belongs to. One technique involves the use of an RGB...
Metallurgy Image Processing, Computer-Assisted Neural Networks, Computer Copper Machine Learning Waste Management Algorithms
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Identification of copper death-associated molecular clusters and immunological profiles for lumbar disc herniation based on the machine learning.

Scientific reports Aug 20, 2024
Lumbar disc herniation (LDH) is a common clinical spinal disorder, yet its etiology remains unclear. We aimed to explore the role of cuproptosis-related genes (CRGs) and identify potential diagnostic biomarkers. Our analysis involved interrogating th...
Cell Death Intervertebral Disc Displacement Cluster Analysis Copper Lumbar Vertebrae Humans Machine Learning Biomarkers Gene Expression Profiling Transcriptome
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