Chemosphere, Journal Year: 2024, Volume and Issue: 369, P. 143835 - 143835
Published: Dec. 1, 2024
Language: Английский
Chemosphere, Journal Year: 2024, Volume and Issue: 369, P. 143835 - 143835
Published: Dec. 1, 2024
Language: Английский
Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131489 - 131489
Published: Jan. 1, 2025
Language: Английский
Citations
2The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 952, P. 175906 - 175906
Published: Sept. 1, 2024
Language: Английский
Citations
6Technologies, Journal Year: 2024, Volume and Issue: 12(9), P. 163 - 163
Published: Sept. 13, 2024
The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds tremendous potential across a wide array of fields. By leveraging AI, the processing interpretation vast complex data generated by HSI are significantly enhanced, allowing for more accurate, efficient, insightful analysis. This powerful combination has to revolutionize key areas such as agriculture, environmental monitoring, medical diagnostics providing precise, real-time insights that were previously unattainable. In instance, AI-driven can enable precise crop monitoring disease detection, optimizing yields reducing waste. this technology track changes in ecosystems with unprecedented detail, aiding conservation efforts disaster response. diagnostics, AI-HSI could earlier accurate improving patient outcomes. As AI algorithms advance, their integration is expected drive innovations enhance decision-making various sectors. continued development these technologies likely open new frontiers scientific research practical applications, accessible tools wider range users.
Language: Английский
Citations
5Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 31, 2025
With the increasing use of biodegradable plastics in agriculture and food packaging, it has become increasingly important to assess effects their fragmentation mineralization environment (i.e., soil, compost). PBAT is a polyester widely used mulch films that are intended fragment mineralize soil. To study these effects, novel methodologies needed quantify microplastics diverse environments. This work seeks answer whether gas chromatography mass spectrometry (GCMS) can be as tool A method was developed allows soil extraction by ultrasonication GCMS quantification after fatty acid methyl ester derivatization. validate method, an industrial compost degradation experiment carried out evidence weight loss film micro- nano-plastic generated from them. The presented improved existing resolution by, at least, one order magnitude compared reported methods. In conclusion, novel, simple, affordable, reproducible methodology for microplastic detection improving limits quantification. tested on experiment, demonstrating ability trace totality plastic over time, evidencing consumed environment.
Language: Английский
Citations
0Micro, Journal Year: 2025, Volume and Issue: 5(2), P. 17 - 17
Published: April 9, 2025
Microplastics (MPs) and nanoplastics (NPs) have emerged as persistent environmental pollutants, posing significant ecological human health risks. Their widespread presence in aquatic, terrestrial, atmospheric ecosystems necessitates effective removal strategies. Traditional methods, including filtration, coagulation, sedimentation, demonstrated efficacy for larger MPs but struggle with nanoscale plastics. Advanced techniques, such adsorption, membrane photocatalysis, electrochemical shown promising results, yet challenges remain scalability, cost-effectiveness, impact. Emerging approaches, functionalized magnetic nanoparticles, AI-driven detection, laser-based remediation, present innovative solutions tackling MP NP contamination. This review provides a comprehensive analysis of current emerging strategies, evaluating their efficiency, limitations, future prospects. By identifying key research gaps, this study aims to guide advancements sustainable scalable microplastic technologies, essential mitigating implications.
Language: Английский
Citations
0Talanta, Journal Year: 2025, Volume and Issue: 289, P. 127756 - 127756
Published: Feb. 18, 2025
Language: Английский
Citations
0Applied Spatial Analysis and Policy, Journal Year: 2025, Volume and Issue: 18(1)
Published: Feb. 20, 2025
Language: Английский
Citations
0Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(3)
Published: Feb. 24, 2025
Language: Английский
Citations
0Frontiers in Chemistry, Journal Year: 2025, Volume and Issue: 13
Published: March 21, 2025
Microplastics are a pervasive pollutant in aquatic ecosystems, raising critical environmental and public health concerns driving the need for advanced detection technologies. Microscopic hyperspectral imaging (micro-HSI), known its ability to simultaneously capture spatial spectral information, has shown promise microplastic analysis. However, widespread application is hindered by limitations such as low signal-to-noise ratios (SNR) reduced sensitivity smaller particles. To address these challenges, this study investigates use of Ag nanoarrays reflective substrates micro-HSI. The localized surface plasmon resonance (LSPR) effect enhances resolution suppressing background reflections isolating reflection bands from interference. This improvement results significantly increased SNR more distinct features. When analyzed using 3D-2D convolutional neural network (3D-2D CNN), integration improved classification accuracy 90.17% 98.98%. These enhancements were further validated through Support Vector Machine (SVM) analyses, demonstrating robustness reliability proposed approach. demonstrates potential combining with CNN models enhance micro-HSI performance, offering novel effective solution precise microplastics advancing chemical analysis, monitoring, related fields.
Language: Английский
Citations
0Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113465 - 113465
Published: March 1, 2025
Language: Английский
Citations
0