AIMC Topic: Azo Compounds

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Biohybrid microrobots with a Spirulina skeleton and MOF skin for efficient organic pollutant adsorption.

Nanoscale Mar 24, 2025
Wastewater treatment is a key component in maintaining environmental health and sustainable urban life, and the rapid development of micro/nanotechnology has opened up new avenues for more efficient treatment processes. This work developed a novel bi...
Water Purification Water Pollutants, Chemical Adsorption Azo Compounds Rhodamines Robotics Methylene Blue Metal-Organic Frameworks Spirulina
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Machine learning-assisted SERS sensor for fast and ultrasensitive analysis of multiplex hazardous dyes in natural products.

Journal of hazardous materials Nov 19, 2024
The adulteration of natural products with multiple azo dyes has become a serious public health concern. Thus, on-site trace additive detection is demanded. Herein, we developed a gold-nanorod-based surface-enhanced Raman scattering (SERS) sensor to d...
Limit of Detection Machine Learning Coloring Agents Azo Compounds Spectrum Analysis, Raman Biological Products Gold
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Exploring the Global Reaction Coordinate for Retinal Photoisomerization: A Graph Theory-Based Machine Learning Approach.

Journal of chemical information and modeling Sep 11, 2024
Unraveling the reaction pathway of photoinduced reactions poses a great challenge owing to its complexity. Recently, graph theory-based machine learning combined with nonadiabatic molecular dynamics (NAMD) has been applied to obtain the global reacti...
Photochemical Processes Retinaldehyde Quantum Theory Isomerism Azo Compounds Machine Learning Molecular Dynamics Simulation
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Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater.

International journal of biological macromolecules Aug 14, 2024
To maintain human health and purity of drinking water, it is crucial to eliminate harmful chemicals such as nitrophenols and azo dyes, considering their natural presence in the surroundings. In this particular research study, the application of machi...
Machine Learning Wastewater Algorithms Silver Coloring Agents Azo Compounds Water Purification Water Pollutants, Chemical Catalysis Nitrophenols
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Enhanced artificial intelligence for electrochemical sensors in monitoring and removing of azo dyes and food colorant substances.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Sep 9, 2022
It is necessary to determine whether synthetic dyes are present in food since their excessive use has detrimental effects on human health. For the simultaneous assessment of tartrazine and Patent Blue V, a novel electrochemical sensing platform was d...
Rosaniline Dyes Tartrazine Food Coloring Agents Humans Artificial Intelligence Food Contamination Electrochemical Techniques Electrodes Azo Compounds
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Knowledge extraction of sonophotocatalytic treatment for acid blue 113 dye removal by artificial neural networks.

Environmental research Nov 11, 2021
Removing decolorizing acid blue 113 (AB113) dye from textile wastewater is challenging due to its high stability and resistance to removal. In this study, we used an artificial neural network (ANN) model to estimate the effect of five different varia...
Wastewater Azo Compounds Textiles Neural Networks, Computer
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Learning the Exciton Properties of Azo-dyes.

The journal of physical chemistry letters Jun 22, 2021
The determination of electronic excited state (ES) properties is the cornerstone of theoretical photochemistry. Yet, traditional ES methods become impractical when applied to fairly large molecules, or when used on thousands of systems. Machine lear...
Azo Compounds Molecular Conformation Machine Learning Models, Molecular Quantum Theory Coloring Agents
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A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 9, 2020
Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat in hepatocytes with concurrent inflammation and is associated with morbidity, cirrhosis and liver failure. After extraction of a liver core biopsy, tis...
Child Staining and Labeling Liver Cirrhosis Neural Networks, Computer Liver Hematoxylin Software Predictive Value of Tests Methyl Green Decision Support Techniques Biopsy Middle Aged Azo Compounds Severity of Illness Index Humans Young Adult Image Interpretation, Computer-Assisted Adolescent Eosine Yellowish-(YS) Adult Non-alcoholic Fatty Liver Disease Reproducibility of Results Retrospective Studies Male Aged Clinical Decision-Making Coloring Agents Aged, 80 and over Female Microscopy
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Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO-P25: optimization and modeling approach.

Environmental science and pollution research international Jun 15, 2020
The primary responsibility for continuously discharging toxic organic pollutants into water bodies and open environments is the increase in industrial and agricultural activities. Developing economical and suitable methods to continuously remove orga...
Neural Networks, Computer Azo Compounds Titanium Benzenesulfonates
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The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon.

Chemosphere May 15, 2020
Discharging coloring products in water bodies has degraded water quality irreversibly over the past several decades. Order mesoporous carbon (OMC) was modified by embedding neodymium(III) chloride on the surface of OMC to enhance the adsorptive remov...
Kinetics Hydrogen-Ion Concentration Azo Compounds Neodymium Adsorption Neural Networks, Computer Spectroscopy, Fourier Transform Infrared Carbon Models, Chemical
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