AIMC Topic: 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....
Seawater Water Pollutants, Chemical Copper Water Quality Neural Networks, Computer Animals Environmental Monitoring
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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 Neural Networks, Computer Limit of Detection Animals Catalysis Carbon Milk Chitosan Tryptophan Oxidation-Reduction Electrodes Nanofibers Biopolymers Nanocomposites Fruit and Vegetable Juices
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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 Colorimetry Machine Learning Food Contamination Laccase Copper Pyrethrins Pesticides
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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...
Peroxidase Electronic Nose Vanillic Acid Copper Laccase Nanostructures Honey Fruit and Vegetable Juices Benzidines Food Analysis Tea Phenols Neural Networks, Computer Machine Learning
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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...
Machine Learning Biosensing Techniques Limit of Detection Pesticides Triazines Butyrylcholinesterase Copper Acetylcholinesterase Cholinesterase Inhibitors
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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...
Copper Machine Learning Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Waste Management Metallurgy
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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...
Copper Lumbar Vertebrae Cell Death Intervertebral Disc Displacement Gene Expression Profiling Humans Transcriptome Machine Learning Cluster Analysis Biomarkers
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Machine Learning Allowed Interpreting Toxicity of a Fe-Doped CuO NM Library Large Data Set─An Environmental In Vivo Case Study.

ACS applied materials & interfaces Aug 1, 2024
The wide variation of nanomaterial (NM) characters (size, shape, and properties) and the related impacts on living organisms make it virtually impossible to assess their safety; the need for modeling has been urged for long. We here investigate the c...
Machine Learning Animals Nanostructures Soil Pollutants Oligochaeta Iron Copper
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Machine learning trained poly (3,4-ethylenedioxythiophene) functionalized carbon matrix suspended Cu nanoparticles for precise monitoring of nitrite from pickled vegetables.

Food chemistry Jul 17, 2024
Precise monitoring of nitrite from real samples has gained significant attention due to its detrimental impact on human health. Herein, we have fabricated poly(3,4-ethylenedioxythiophene) functionalized carbon matrix suspended Cu nanoparticles (PEDOT...
Copper Bridged Bicyclo Compounds, Heterocyclic Machine Learning Electrochemical Techniques Nitrites Polymers Metal Nanoparticles Food Contamination Vegetables Limit of Detection Carbon
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Radiological characterization of the tailings of an abandoned copper mine using a neural network and geostatistical analysis through the Co-Kriging method.

Environmental geochemistry and health Jul 9, 2024
The radiological characterization of soil contaminated with natural radionuclides enables the classification of the area under investigation, the optimization of laboratory measurements, and informed decision-making on potential site remediation. Neu...
Radiation Monitoring Soil Pollutants, Radioactive Neural Networks, Computer Regression Analysis Copper Mining
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