AIMC Topic: Anions

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A supramolecular fluorescence sensor array for the differentiation of multiple anions and prediction of iodine in artificial urine using machine learning.

Mikrochimica acta Jun 17, 2024
The simultaneous discrimination and detection of multiple anions in an aqueous solution has been a major challenge due to their structural similarity and low charge radii. In this study, we have constructed a supramolecular fluorescence sensor array ...
Anions Toothpastes Fluorescent Dyes Fluorides Machine Learning Iodine Spectrometry, Fluorescence Discriminant Analysis Limit of Detection
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Neural network and decision tree-based machine learning tools to analyse the anion-responsive behaviours of emissive Ru(II)-terpyridine complexes.

Dalton transactions (Cambridge, England : 2003) Dec 20, 2022
We implemented both neural network and decision tree-based machine learning tools to analyse the anion-responsive behaviours of two heteroleptic Ru(II) complexes based on two tridentate ligands, 2,6-bis(benzimidazole-2-yl)pyridine (Hpbbzim) and subst...
Prospective Studies Decision Trees Neural Networks, Computer Anions Machine Learning
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Analysis and prediction of anion- and temperature responsive behaviours of luminescent Ru(II)-terpyridine complexes by using Boolean, fuzzy logic, artificial neural network and adapted neuro fuzzy inference models.

Dalton transactions (Cambridge, England : 2003) Oct 18, 2022
Anion- and temperature responsive behaviors of three luminescent Ru(II)-terpyridine complexes are utilized here to demonstrate multiple Boolean (BL) and fuzzy logic (FL) operations. Taking advantage of the imidazole NH protons, anion-promoted alterat...
Neural Networks, Computer Temperature Luminescence Anions Protons Fuzzy Logic Imidazoles
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Ionic Liquid-Based Ultrasonic-Assisted Extraction Coupled with HPLC and Artificial Neural Network Analysis for .

Molecules (Basel, Switzerland) Mar 13, 2020
is widely used in traditional Chinese medicine (TCM). Ganoderic acid A and D are the main bioactive components with anticancer effects in . To obtain the maximum content of two compounds from , a novel extraction method, an ionic liquid-based ultras...
Ultrasonics Reference Standards Solutions Anions Reishi Chromatography, High Pressure Liquid Ionic Liquids Solvents Time Factors Rotation Neural Networks, Computer Reproducibility of Results
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Effects of prepartum dietary cation-anion difference and source of vitamin D in dairy cows: Lactation performance and energy metabolism.

Journal of dairy science Dec 21, 2017
The objectives of this experiment were to evaluate the effects of feeding diets with 2 dietary cation-anion difference (DCAD) levels and supplemented with either cholecalciferol (CH) or calcidiol (CA) during late gestation on lactation performance an...
Vitamin D Cholecalciferol Dietary Supplements Energy Metabolism Cations Diet Female Animal Feed Random Allocation Cattle Animals Calcifediol Lactation Anions
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Effect of the electronegativity on the electrosorption selectivity of anions during capacitive deionization.

Chemosphere Dec 7, 2017
The effect of electronegativity on the electrosorption selectivity of anions during capacitive deionization was investigated via a combination of experimental and theoretical studies. A model was developed based on chemical thermodynamics and the cla...
Electrochemical Techniques Electrodes Anions Water Purification Thermodynamics Adsorption
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Arsenic treatment and power generation with a dual-chambered fuel cell with anionic and cationic membranes using NaHCO anolyte and HCl or NaCl catholyte.

Chemosphere Dec 30, 2016
Dual-chambered fuel cells with an iron anode and an air-carbon cathode separated by an ion exchange membranes have been used to treat arsenate during power production. To select an effective catholyte, the dual-chambered fuel cell consisted 90 mL of ...
Carbon Oxygen Arsenic Sodium Bicarbonate Iron Water Purification Models, Theoretical Water Pollutants, Chemical Wastewater Solutions Anions Ion Exchange Electrodes Bioelectric Energy Sources Cations Sodium Chloride Membranes, Artificial
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Machine Learning Reveals Key Adsorption Mechanisms for Oxyanions Based on Combination of Experimental and Published Literature Data.

Environmental science & technology Jun 10, 2025
The development of new adsorbents for water treatment often involves complex adsorption mechanisms, whose individual contributions are unclear, thereby limiting the understanding of adsorption driving forces, making it difficult to achieve precise de...
Machine Learning Water Pollutants, Chemical Adsorption Wastewater Anions Water Purification
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Assessing the persistence of chalcogen bonds in solution with neural network potentials.

The Journal of chemical physics Apr 21, 2022
Non-covalent bonding patterns are commonly harvested as a design principle in the field of catalysis, supramolecular chemistry, and functional materials to name a few. Yet, their computational description generally neglects finite temperature and env...
Anions Neural Networks, Computer Solvents
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