AIMC Topic: Metals, Heavy
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Unlocking urban soil secrets: machine learning and spectrometry in Berlin's heavy metal pollution study considering spatial data.
Environmental monitoring and assessment
Jul 19, 2025
Berlin has historically been impacted by heavy metal (HM) emissions, raising concerns about soil pollution. In this study, machine learning (ML) techniques were applied to predict HM concentrations across the Berlin metropolitan area. A dataset of 66...
Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.
Environmental science & technology
Jul 14, 2025
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...
CRISPR/Cas-Based Biosensing Strategies for Non-Nucleic Acid Contaminants in Food Safety: Status, Challenges, and Perspectives.
Journal of agricultural and food chemistry
Jul 9, 2025
Non-nucleic acid targets (non-NATs), such as heavy metals, toxins, and pesticide residues, pose critical threats to food safety. Although CRISPR/Cas systems were initially developed for nucleic acid detection, recent advances have enabled their adapt...
Urban-rural inequality in soil heavy metal health risks: Insights from Baoding, China.
Ecotoxicology and environmental safety
Jun 5, 2025
Soil heavy metal contamination poses serious health risks, but few studies have quantitatively assessed disparities in these risks between urban and rural populations. To address this gap, we introduce a novel framework integrating machine learning a...
A novel method for achieving ecological indicator based on vertical soil bacterial communities coupled with machine learning: A case study of a typical tropical site in China.
Journal of hazardous materials
May 3, 2025
Global industrialization has resulted in severe contamination of soil with heavy metals (HMs). Nevertheless, it is unclear if it affects the depth-resolved bacterial communities. Herein, we collected soil samples at different depths from a typical HM...
Stricter cadmium and lead standards needed for organic fertilizers in China.
The Science of the total environment
Apr 30, 2025
This study aims to evaluate the adequacy of China's national standards for heavy metals in organic fertilizers by predicting their concentrations in grains using machine leaning. A comprehensive dataset was collected from literature, including soil p...
Spatial distribution and risk assessment of heavy metal in coastal waters of China.
Marine environmental research
Apr 28, 2025
In order to better understand the status of heavy metal pollution in surface seawater of China's coastal waters, this paper compiled research results on seven heavy metals (i.e. Hg, As, Cu, Cd, Cr, Pb, Zn) in surface seawater of 35 coastal areas of C...
Evaluation of machine learning models for accurate prediction of heavy metals in coal mining region soils in Bangladesh.
Environmental geochemistry and health
Apr 23, 2025
Coal mining soils are highly susceptible to heavy metal pollution due to the discharge of mine tailings, overburden dumps, and acid mine drainage. Developing a reliable predictive model for heavy metal concentrations in this region has proven to be a...
Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.
Frontiers in public health
Apr 16, 2025
BACKGROUND: Exposure to heavy metals has been implicated in adverse auditory health outcomes, yet the precise relationships between heavy metal biomarkers and hearing status remain underexplored. This study leverages a machine learning framework to i...
Machine learning predicts selectivity of green synthesized iron nanoparticles toward typical contaminants: critical factors in synthesis conditions, material properties, and reaction process.
Environmental research
Apr 12, 2025
Green synthesized iron nanoparticles (FeNPs) have gained popularity in contaminant removal due to their low cost and environmentally friendly properties. However, a gap remains in understanding how synthesis conditions (SC), material properties (MP),...
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