AIMC Topic: Nitrogen

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Portable and intelligent ratio fluorometry and colorimetry for dual-mode detection of dopamine based on B, N-codoped carbon dots and machine learning.

Talanta Nov 1, 2025
A dual-mode approach was developed for dopamine (DA) assay based on boron (B) and nitrogen (N) co-doped carbon dots (B, N-CDs). This platform enabled highly sensitive and specific detection of DA in biological samples through collaborative ratio fluo...
Fluorescent Dyes Nitrogen Fluorometry Dopamine Quantum Dots Boron Limit of Detection Humans Colorimetry Machine Learning Carbon
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Generative deep learning model assisted multi-objective optimization for wastewater nitrogen to protein conversion by photosynthetic bacteria.

Bioresource technology Sep 1, 2025
For decades, the photosynthetic bacteria (PSB)-based nitrogen treatment and valorization from wastewater have been explored. However, balancing nitrogen removal performance and resource recovery potential in PSB has remained a key unresolved issue fo...
Deep Learning Bacterial Proteins Water Purification Biological Oxygen Demand Analysis Photosynthesis Neural Networks, Computer Nitrogen Wastewater
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Total nitrogen levels as a key constraint on soil organic carbon stocks across Australian agricultural soils.

Environmental research Aug 15, 2025
Understanding how pedoclimatic drivers regulate soil organic carbon (SOC) stock is crucial for gaining insights into terrestrial carbon-climate feedback and thus adaptation to climate change. However, current data-driven SOC predictive models often n...
Climate Change Australia Carbon Nitrogen Soil Agriculture
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Fusion of near-infrared and Raman spectroscopy with machine learning strategies: Non-destructive rapid assessment of freshness and TVB-N value prediction in Pacific white shrimp (Litopenaeus vannamei).

Food research international (Ottawa, Ont.) Aug 1, 2025
Total volatile base nitrogen (TVB-N) is a key indicator of shrimp freshness. Nevertheless, traditional detection methods are cumbersome, time-intensive, and destructive. Here, a rapid and non-destructive method based on near-infrared (NIR) and Raman ...
Machine Learning Animals Spectrum Analysis, Raman Nitrogen Spectroscopy, Near-Infrared Neural Networks, Computer Shellfish Seafood Penaeidae
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Production of the Neurotoxin BMAA by Marine Diatoms Drives Its Widespread Occurrence in Estuarine and Coastal Ecosystems.

Environmental science & technology Jul 1, 2025
Phytoplankton are the primary producers of marine neurotoxins such as β--methylamino-l-alanine (BMAA), which cause seafood poisoning outbreaks in estuarine and coastal regions. BMAA has gained much attention for its pathogenic link to Alzheimer's and...
Ecosystem Nitrogen Phytoplankton Estuaries Neurotoxins Diatoms Seawater Cyanobacteria Toxins Amino Acids, Diamino
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Optimizing swine manure composting parameters with integrated CatBoost and XGBoost models: nitrogen loss mitigation and mechanism.

Journal of environmental management Jul 1, 2025
In this study, machine learning was used to optimize the aerobic composting process of swine manure to enhance nitrogen retention and compost maturity in order to meet the demand for high-quality organic fertilizers in sustainable agriculture. In thi...
Boosting Machine Learning Algorithms Composting Swine Agriculture Manure Fertilizers Nitrogen Machine Learning Soil Animals
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Long-term water quality simulation and driving factors identification within the watershed scale using machine learning.

Journal of contaminant hydrology Jul 1, 2025
Understanding long-term trends and analyzing their driving factors are essential to effectively enhance water quality in watersheds. In China, although the overall quality of surface water continues to improve, significant issues remain in certain re...
Phosphorus Water Quality Rivers Environmental Monitoring Water Pollutants, Chemical Nitrogen Machine Learning China
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Sliding-window enhanced olfactory visual images combined with deep learning to predict TVB-N content in chilled mutton.

Meat science Jul 1, 2025
A novel data enhancement method for olfactory visual images was proposed in this study, combined with deep learning to achieve the accurate prediction of total volatile basic nitrogen (TVB-N) content in chilled mutton. Specifically, the sliding-windo...
Volatile Organic Compounds Smell Nitrogen Odorants Animals Deep Learning Support Vector Machine
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Improving real-time forecasting of bay water quality by integrating in-situ monitoring, machining learning, and process-based modeling.

Journal of environmental management Jun 1, 2025
Frequent occurrences of disasters such as red tides significantly threaten bay ecosystems, making near real-time water quality forecasting crucial for disaster warning and decision-making. Conventional techniques, such as process-based modeling and i...
Environmental Monitoring Nitrogen Phosphorus Machine Learning Forecasting Water Quality Bays
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A multi-objective optimization model integrating machine learning and time-frequency analysis for supporting nitrogen and phosphorus pollution reduction in Guangzhou city, China.

Journal of environmental management Jun 1, 2025
The unbridled discharge of nitrogen and phosphorus (NP) pollutants is believed to have surpassed ecosystem resilience limits for many regions, which is of great concern to research and governmental communities. In this research, a multi-objective opt...
Nitrogen Phosphorus Climate Change Models, Theoretical Environmental Monitoring Machine Learning China
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