Morphometric characteristics and spatiotemporal heterogeneity of microplastics on the north-east coast of India DOI

I. Anandavelu,

R. Karthik,

R.S. Robin

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136180 - 136180

Published: Oct. 15, 2024

Language: Английский

Microplastics monitoring in freshwater systems: A review of global efforts, knowledge gaps, and research priorities DOI
Bu Zhao,

Ruth E Richardson,

Fengqi You

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 477, P. 135329 - 135329

Published: July 27, 2024

Language: Английский

Citations

22
Machine learning assisted Raman spectroscopy: A viable approach for the detection of microplastics DOI Creative Commons

Megha Sunil,

Nazreen Pallikkavaliyaveetil,

N Mithun

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 60, P. 105150 - 105150

Published: March 23, 2024

The accumulation of microplastics (MPs) resulting from disposal plastic waste into water sources, poses a significant threat to aquatic organisms. These are readily ingested by organisms, leading the harmful substances, disrupting their biological processes. Current methods for identifying have notable drawbacks, including low resolution, extended imaging time, and restricted particle size analysis. Integrating Raman spectroscopy with machine learning (ML) proves be an effective approach classifying MPs, especially in scenarios where they found environmental media or mixed various types. Machine can vital tool assisting analysis, owing its robust feature extraction capabilities. This comprehensive review outlined utilization techniques conjunction spectral features diverse investigations related microplastics. methodologies discussed encompass Principal Component Analysis, K-Nearest Neighbour, Random Forest, Support Vector Machine, deep algorithms.

Language: Английский

Citations

18
Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors DOI
Binbin Hu,

Yaodan Dai,

Haidong Zhou

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 474, P. 134865 - 134865

Published: June 12, 2024

Language: Английский

Citations

18
Machine learning: Next promising trend for microplastics study DOI
Jiming Su, Fupeng Zhang,

Chuanxiu Yu

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 344, P. 118756 - 118756

Published: Aug. 11, 2023

Language: Английский

Citations

34
Artificial intelligence in microplastic detection and pollution control DOI
Jin Hui,

Fanhao Kong,

Xiangyu Li

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 262, P. 119812 - 119812

Published: Aug. 16, 2024

Language: Английский

Citations

13
Revisiting the strategy for marine litter monitoring within the european marine strategy framework directive (MSFD) DOI Creative Commons
François Galgani, Amy Lusher, Jakob Strand

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 255, P. 107254 - 107254

Published: June 28, 2024

Marine litter and non-degradable plastic pollution is of global concern. Regular monitoring programs are being established to assess understand the scale this pollution. In Europe, goal European Strategy Framework Directive (MSFD) trends in Good Environmental Status support large-scale actions at regional level. requires tailored sampling strategies, protocols indicators, that align with specific objectives for local or needs. addition, uneven spatial temporal distributions marine present a challenge when designing statistically powerful program. paper, we critically review existing Europe. We discuss main constraints, including environmental, logistical, scientific, ethical factors. Additionally, outline critical gaps shortcomings MSFD beaches/shorelines, floating litter, seafloor microplastics, harm. Several priorities must be shape future within MSFD. Recent developments analytical approaches, optimizing gaining better understanding spatiotemporal heterogeneity its implications survey design replication, inclusion newly validated methodologies have achieved sufficient technical readiness, considered. Although there well-established methods assessing beaches, it will necessary implement schemes microplastics sediments invertebrates as robust become available targeting smaller particle size classes. Furthermore, indicators entanglement injury organisms considered near future. Moreover, following enhance effectiveness efforts: (1) creating an inventory accumulation areas sources types (e.g., fishing gear), (2) riverine inputs (3) atmospheric (4) accidental during extreme weather events, (5) studying how species risk may transported by litter. provide recommendations long-term, effective, well-coordinated achieve comprehensive accurate EU waters. This allow development measures mitigate impacts eventually evaluate success respective measures.

Language: Английский

Citations

9
Microplastic Pollution in Marine Environments: An In-Depth Analysis of Advanced Monitoring Techniques, Removal Technologies, and Future Challenges DOI

S. Thanigaivel,

R. Kamalesh,

Y P Ragini

et al.

Marine Environmental Research, Journal Year: 2025, Volume and Issue: 205, P. 106993 - 106993

Published: Feb. 3, 2025

Language: Английский

Citations

1
Applicability of machine learning techniques to analyze Microplastic transportation in open channels with different hydro-environmental factors DOI

Amad-ud-din Fazil,

Pattiyage I. A. Gomes, Kelum Sandamal

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 357, P. 124389 - 124389

Published: June 19, 2024

Language: Английский

Citations

7
Advanced Optical Imaging Technologies for Microplastics Identification: Progress and Challenges DOI Creative Commons
Yanmin Zhu, Yuxing Li, Jianqing Huang

et al.

Advanced Photonics Research, Journal Year: 2024, Volume and Issue: 5(11)

Published: July 22, 2024

Global concern about microplastic (MP) and nanoplastic (NP) particles is continuously rising with their proliferation worldwide. Effective identification methods for MP NP pollution monitoring are highly needed, but due to different requirements technical challenges, much of the work still in progress. Herein, advanced optical imaging systems that successfully applied or have potential focused on. Compared chemical thermal analyses, unique advantages being nondestructive noncontact allow fast detection without complex sample preprocessing. Furthermore, they capable revealing morphology, anisotropy, material characteristics quick robust detection. This review aims present a comprehensive discussion relevant systems, emphasizing operating principles, strengths, drawbacks. Multiple comparisons analyses among these technologies conducted order provide practical guidelines researchers. In addition, combination other alternative described representative portable devices highlighted. Together, shed light on prospects long‐term environmental protection.

Language: Английский

Citations

7
Pollution characterization and multi-index ecological risk assessment of microplastics in urban rivers from a Chinese megacity DOI
Hao Yang, Fuhong Sun, Haiqing Liao

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 480, P. 136145 - 136145

Published: Oct. 11, 2024

Language: Английский

Citations

6