Computational Approaches for Identification of Micro/Nano-Plastic Pollution DOI
Kartavya Mathur, Eti Sharma, Nisha Gaur

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 99 - 122

Published: Sept. 25, 2024

The dissemination of miniaturized plastics, both micro- and nano-plastics, athwart diverse ecosystems is an argument global apprehension. accretion these plastics due to their chemical steadiness. In arrears trivial size, frequently identification very problematic. foremost approaches for and-nano rely upon visual inspection through microscopy analysis. advent high-throughput computing has eased the detection plastic pollution. Machine learning computer vision methods are being readily applied analyzing images identify classify microplastics. Molecular simulation also studying interaction between environment Additionally, remote sensing have been used collect analyze suspected locations microplastic

Language: Английский

Advancements and challenges in microplastic detection and risk assessment: Integrating AI and standardized methods DOI
Hailong Zhang, Qiannan Duan,

Pengwei Yan

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 212, P. 117529 - 117529

Published: Jan. 4, 2025

Language: Английский

Citations

1
Advances in Microplastic Characterization: Spectroscopic Techniques and Heavy Metal Adsorption Insights DOI Creative Commons
M. Vasudeva, Anish Kumar Warrier,

V. B. Kartha

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 118111 - 118111

Published: Dec. 1, 2024

Language: Английский

Citations

3
Innovative materials that behave like robots to combat plastic pollution DOI
Shafqat Ali, Muhammad Haris Khan, Zareen Zuhra

et al.

Materials Horizons, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The growing plastic pollution crisis demands novel approaches, with innovative materials that mimic robotic behaviors emerging as a promising solution.

Language: Английский

Citations

0
Quantification of the Uptake and Biodistribution of Nanoplastics in Escherichia coli DOI
Yan Gao,

Quanzhi Xiao,

Jie Zhang

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Nanoplastics (NPs) are prevalent in the environment, posing risks to ecosystems and human health. While research into their effects on bacterial activity has increased, mechanisms underlying NP-bacteria interactions─specifically whether NPs penetrate cells or adhere cell surface─remain poorly understood. This knowledge gap largely stems from absence of quantitative analytical methods. Herein, we developed a novel approach combining lysozyme treatment with pyrolysis gas chromatography-mass spectrometry (Py-GC/MS) differentiate between intracellular wall-bound Escherichia coli (E. coli) quantitatively. The method involves selective removal wall using lysozyme, protein corona-induced extraction enrich NPs, hydrogen peroxide digestion eliminate protoplast interference before Py-GC/MS analysis. Validation europium (Eu)-labeled quantified by inductively coupled plasma mass (ICP-MS), confirmed method's accuracy reliability. Using this approach, found that after NP exposure, only small fraction (9.6-10.5%) penetrated E. cells, while majority (36.9-63.8%) adhered surface. Transmission electron microscopy further corroborated these findings. Consequently, work provides robust tool for quantification uptake biodistribution systems, advancing our understanding NP-microorganism interactions environmental implications.

Language: Английский

Citations

0
Analytical techniques for quantifying and identifying nanoplastics: recent advances DOI
Gabriel Enrique De-la-Torre,

Carolin Bapp,

Ana D. Forero López

et al.

Current Opinion in Chemical Engineering, Journal Year: 2025, Volume and Issue: 48, P. 101134 - 101134

Published: April 18, 2025

Language: Английский

Citations

0
Innovations of Water Pollution Traceability Technology with Artificial Intelligence DOI Creative Commons
Qiannan Duan, Qi Zhang,

Xudong Quan

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1), P. 100009 - 100009

Published: June 1, 2024

Language: Английский

Citations

1
Computational Approaches for Identification of Micro/Nano-Plastic Pollution DOI
Kartavya Mathur, Eti Sharma, Nisha Gaur

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2024, Volume and Issue: unknown, P. 99 - 122

Published: Sept. 25, 2024

The dissemination of miniaturized plastics, both micro- and nano-plastics, athwart diverse ecosystems is an argument global apprehension. accretion these plastics due to their chemical steadiness. In arrears trivial size, frequently identification very problematic. foremost approaches for and-nano rely upon visual inspection through microscopy analysis. advent high-throughput computing has eased the detection plastic pollution. Machine learning computer vision methods are being readily applied analyzing images identify classify microplastics. Molecular simulation also studying interaction between environment Additionally, remote sensing have been used collect analyze suspected locations microplastic

Language: Английский

Citations

0