AIMC Topic: Iron

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Machine learning-driven geochemical fingerprinting and risk characterization of mineral dust across different operational settings in El-Gedida Iron Mine, Egypt.

Environmental geochemistry and health
Investigating mineral dust emitted from mining activities enables the assessment of environmental risks posed by potentially toxic elements (PTEs) and the discrimination of geochemical fingerprints characteristic of distinct operational settings. Acc...

Machine Learning-Assisted Fe-N-C Single-Atom Nanozyme Rapid Screening Platform for Acetylcholinesterase Inhibitors.

Analytical chemistry
Traditional screening methods for acetylcholinesterase inhibitors (AChEIs) encounter significant challenges due to two primary factors: subjective errors in colorimetric analysis and reliance on laboratory instruments. To overcome these limitations, ...

Unraveling electronic structure modulation mechanism in cobalt spinel Fenton-like catalysis by integrating density functional theory and machine learning.

Water research
Heterogeneous Fenton-like catalysis holds significant promise for environmental remediation, yet conventional trial-and-error methodologies fail to capture the intrinsic structure-activity relationships in catalyst design. Herein, we present an integ...

Ferrous Oxidation-Driven Adsorptive and Oxidative Transformation Boosts Electron Exchange Capacity of Dissolved Organic Matter: Environmental Implications.

Environmental science & technology
Dissolved organic matter (DOM) plays an important role in microbial electron transfer, influencing elemental biogeochemical cycles and pollutant fate. However, its electron exchange capacity (EEC) can be strongly altered by ferrous {Fe(II)} oxidation...

Data-Driven Recursive Kinetic Modeling for Fenton Reaction.

Environmental science & technology
The Fenton reaction is a widely used advanced oxidation process for water purification, valued for its simplicity and effectiveness in degrading refractory organic pollutants. However, accurately modeling its degradation kinetics remains challenging ...

Colorimetric sensor array for flavonoids recognition based on peroxidase-like FeCo nanosheet.

Food chemistry
Flavonoids themselves have antioxidant, anti-inflammatory, anticancer, and antiviral effects, so it is necessary to conduct rapid, efficient, and intelligent identification and quantitative analysis of flavonoids. Herein, based on the differential co...

Effects of iron repletion on brain iron content, myelination, neural network activation, and cognition.

JCI insight
BACKGROUNDBlood donation increases the risk of iron deficiency, but its effect on brain iron, myelination, and neurocognition remains unclear.METHODSThis ancillary study enrolled 67 iron-deficient blood donors, 19-73 years of age, participating in a ...

Post ferric-substitution detection method optimization for Ni(II)-organic complexes measurement: Simulation, experimentation, and modeling.

Environmental monitoring and assessment
Nickel (Ni(II)) complexes, especially those formed with strong ligands such as ethylenediaminetetraacetic acid (EDTA), are difficult to quantify due to their low environmental concentrations and weak ultraviolet (UV) absorbance. These characteristics...

Toward the Development of a Novel Newborn Screening Modality: In-Depth Nontargeted Proteome Analysis of Dried Blood Spots with a Robotic Pipeline Using Low-Cost Iron Powders.

Analytical chemistry
We developed a simple protein extraction method for dried blood spots (DBS) that potentially meets the throughput required for newborn screening (NBS) and optimizes nontargeted proteomic analysis in combination with liquid chromatography coupled mass...

Groundwater quality assessment and health risk evaluation for schoolchildren in Mujibnagar, Bangladesh: safe consumption guidelines using artificial neural network modeling.

Environmental geochemistry and health
Groundwater is a vital source of drinking water in Bangladesh, with tubewells commonly used, particularly in schools. This study assessed the quality of tubewell water in the southwest region, focusing on iron (Fe), arsenic (As), pH, electrical condu...