Analysis of membrane surface after the filtration of surface water containing microplastic DOI Creative Commons
Edyta Kudlek, Justyna Juszczyk, Katarzyna Moraczewska-Majkut

et al.

Desalination and Water Treatment, Journal Year: 2025, Volume and Issue: unknown, P. 101139 - 101139

Published: March 1, 2025

Language: Английский

Overview of analytical methods for the determination of microplastics: Current status and trends DOI

Huike Dong,

Xiaoping Wang,

Xuerui Niu

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 167, P. 117261 - 117261

Published: Sept. 1, 2023

Language: Английский

Citations

72
3D Plasmonic Gold Nanopocket Structure for SERS Machine Learning‐Based Microplastic Detection DOI Creative Commons
Jun Young Kim,

Eun Hye Koh,

Jun-Young Yang

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 34(2)

Published: Sept. 10, 2023

Abstract Microplastics (MPs) are present not only in the environment but also drinking water, food, and consumer products. These MPs being toxic, carcinogenic, endocrine disrupting, genetic risk creators cause several diseases. Despite various approaches, development of onsite applicable, facile, quick MP detection methods is still challenging. Here, 3D‐plasmonic gold nanopocket (3D‐PGNP) nanoarchitecture formed on a paper substrate for simultaneous filtration detection. The paper‐based 3D‐PGNP integrated with syringe filter device, then, MP‐containing solutions injected through syringe. Subsequent using surface‐enhanced Raman scattering (SERS) successfully identifies without pretreatment. interface volumetric hotspot generation around captured significantly improves sensitivity, which confirmed by finite‐difference time‐domain simulation. Then, SERS mapping images obtained from portable spectrometer transformed into digital signals via machine learning (ML) technique to identify quantify distribution. developed SERS‐ML‐based method applied mixture real matrix samples, demonstrating that provides improved accuracy. This system expected be used environmentally hazardous substances, such as bacteria, viruses, fungi.

Language: Английский

Citations

49
Pretreatment-free SERS sensing of microplastics using a self-attention-based neural network on hierarchically porous Ag foams DOI Creative Commons
Olga Guselnikova,

Andrii Trelin,

Yunqing Kang

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: May 28, 2024

Abstract Low-cost detection systems are needed for the identification of microplastics (MPs) in environmental samples. However, their rapid is hindered by need complex isolation and pre-treatment methods. This study describes a comprehensive sensing platform to identify MPs samples without requiring independent separation or protocols. It leverages physicochemical properties macroporous-mesoporous silver (Ag) substrates templated with self-assembled polymeric micelles concurrently separate analyze multiple MP targets using surface-enhanced Raman spectroscopy (SERS). The hydrophobic layer on Ag aids stabilizing nanostructures environment mitigates biofouling. To monitor demultiplex numerous overlapping patterns, we develop neural network (NN) algorithm called SpecATNet that employs self-attention mechanism resolve dependencies patterns SERS data six common types MPs: polystyrene, polyethylene, polymethylmethacrylate, polytetrafluoroethylene, nylon, polyethylene terephthalate. uses multi-label classification multi-component mixtures even presence various interference agents. combination self-attention-based NN technology holds potential enable field monitoring generating rich datasets machines can interpret analyze.

Language: Английский

Citations

30
Nanoplastic detection with surface enhanced Raman spectroscopy: Present and future DOI Open Access
Navin Kumar Mogha, Dongha Shin

TrAC Trends in Analytical Chemistry, Journal Year: 2022, Volume and Issue: 158, P. 116885 - 116885

Published: Dec. 14, 2022

Language: Английский

Citations

56
Trade-off of abiotic stress response in floating macrophytes as affected by nanoplastic enrichment DOI

Huawei Jia,

Hongwei Yu, Jingwen Li

et al.

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 451, P. 131140 - 131140

Published: March 4, 2023

Language: Английский

Citations

32
Size-dependent toxicity of polystyrene microplastics on the gastrointestinal tract: Oxidative stress related-DNA damage and potential carcinogenicity DOI
Ruiyang Ding, Yueyue Chen, Xuemin Shi

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169514 - 169514

Published: Dec. 20, 2023

Language: Английский

Citations

32
Advanced Raman spectroscopy for nanoplastics analysis: Progress and perspective DOI

Wenqiang Pei,

Rui Hu, Hao Liu

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 166, P. 117188 - 117188

Published: July 11, 2023

Language: Английский

Citations

29
A review of recent progress in the application of Raman spectroscopy and SERS detection of microplastics and derivatives DOI
Qiang Chen,

Jiamiao Wang,

Fuqi Yao

et al.

Microchimica Acta, Journal Year: 2023, Volume and Issue: 190(12)

Published: Nov. 13, 2023

Language: Английский

Citations

27
Plasmonic nanostar@metal organic frameworks as strong adsorber, enricher, and sensor for trace nanoplastics via surface-enhanced Raman spectroscopy DOI
Xian Wang, Shanshan Du,

Cheng Qu

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 487, P. 150415 - 150415

Published: March 13, 2024

Language: Английский

Citations

10
Direct detection of polystyrene microspheres by using easily fabricated Ag core embedded Au film SERS substrates with high sensitivity DOI
Yansheng Liu,

Zhenle Qin,

Xiaobo Jia

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(5), P. 113311 - 113311

Published: June 13, 2024

Language: Английский

Citations

10