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

и другие.

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 99 - 122

Опубликована: Сен. 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

Язык: Английский

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

Pengwei Yan

и другие.

Marine Pollution Bulletin, Год журнала: 2025, Номер 212, С. 117529 - 117529

Опубликована: Янв. 4, 2025

Язык: Английский

Процитировано

2

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

V. B. Kartha

и другие.

TrAC Trends in Analytical Chemistry, Год журнала: 2024, Номер unknown, С. 118111 - 118111

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

3

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

и другие.

Materials Horizons, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

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

Язык: Английский

Процитировано

0

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

Quanzhi Xiao,

Jie Zhang

и другие.

Analytical Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

Процитировано

0

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

Carolin Bapp,

Ana D. Forero López

и другие.

Current Opinion in Chemical Engineering, Год журнала: 2025, Номер 48, С. 101134 - 101134

Опубликована: Апрель 18, 2025

Язык: Английский

Процитировано

0

Microphysical detection of nano-ice nuclei to ice crystals: a platform for ice nucleation research DOI Creative Commons
Devendra Pal, Ryan Hall, Yevgen Nazarenko

и другие.

npj Climate and Atmospheric Science, Год журнала: 2025, Номер 8(1)

Опубликована: Май 29, 2025

Язык: Английский

Процитировано

0

Sensing of Microplastics Using Advanced Materials: A Comprehensive Review DOI

Aakash Rathour,

Sarita Pathania

Sensing and Imaging, Год журнала: 2025, Номер 26(1)

Опубликована: Июнь 4, 2025

Язык: Английский

Процитировано

0

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

Xudong Quan

и другие.

Deleted Journal, Год журнала: 2024, Номер 1(1), С. 100009 - 100009

Опубликована: Июнь 1, 2024

Язык: Английский

Процитировано

1

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

и другие.

Advances in environmental engineering and green technologies book series, Год журнала: 2024, Номер unknown, С. 99 - 122

Опубликована: Сен. 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

Язык: Английский

Процитировано

0