AIMC Topic: Cadmium

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Deep Learning Exploration Expands the Natural Diversity of Metallothioneins in the Archaea Domain.

Journal of agricultural and food chemistry
The diversity and functions of metallothioneins (MTs) in Archaea remain poorly understood. This study identifies 180 archaeal MTs from 406 genomes, revealing distinct evolutionary lineages and structural diversity. Phylogenetic analysis suggests a no...

Integrating AI-based neural network modeling with experimental characterization for Cd(II) ion adsorption using Sargassum fusiforme biosorbent.

Environmental research
Cadmium (Cd) contamination in wastewater presents serious environmental and public health challenges, requiring efficient mitigation strategies. This research focuses on assessing the biosorption capability of Sargassum fusiforme (SF) biosorbent for ...

A Sn-Ta-O-doped vertical graphene electrochemical sensor based on a machine learning prediction model for monitoring cadmium in beverages.

Food chemistry
The growing diversity of beverages intensifies demand for on-site heavy metal detection to ensure safety. Multi-heteroatom co-doped graphene electrodes exhibit superior electrocatalytic activity and stability over traditional carbon-based electrodes,...

Hyperspectral imaging for trace cadmium prediction in lettuce leaves.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Cadmium (Cd) pollution presents a significant threat to the agricultural product control, and the development of detection technology for Cd content in lettuce has important application value. This study developed a nondestructive approach based on h...

Assessing the transfer of Cd and As from co-contaminated soil to peanut (Arachis hypogaea L.): prediction models and soil thresholds.

Environmental pollution (Barking, Essex : 1987)
In China, the co-contamination of soil with cadmium (Cd) and arsenic (As) is one of the most severe forms of combined pollution. Modeling the transfer of Cd and As from co-contaminated soil to crops has not been thoroughly studied. In this study, fiv...

Systemic inflammation mediates the relationship between urinary cadmium and chronic cough risk: findings based on multiple statistical models.

Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine
Epidemiological research examining the relationship between urinary cadmium and the risk of chronic cough remains scarce. This study included 2965 participants for a cross-sectional study from the NHANES. The weighted quantile sum (WQS) regression, b...

Stricter cadmium and lead standards needed for organic fertilizers in China.

The Science of the total environment
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...

Estimating soil cadmium concentration using multi-source UAV imagery and machine learning techniques.

Environmental monitoring and assessment
Urbanization and industrialization have led to widespread soil heavy metals contamination, posing significant risks to ecosystems and human health. Conventional methods for mapping heavy metal distribution, which rely on soil sampling followed by che...

Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis.

Frontiers in public health
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...

Fluorescence hyperspectral imaging for detection of selenium content in lettuce leaves under cadmium-free and cadmium environments.

Food chemistry
This study aimed to investigate the feasibility of detecting selenium content in lettuce leaves under complex environments (cadmium-free and cadmium environments) using fluorescence hyperspectral imaging (FHSI). Accordingly, multimodal difference-awa...