Quantitative and rapid detection of nanoplastics labeled by luminescent metal phenolic networks using surface-enhanced Raman scattering DOI
Haoxin Ye, Ehsan Banayan Esfahani,

Ivy Chiu

и другие.

Journal of Hazardous Materials, Год журнала: 2024, Номер 470, С. 134194 - 134194

Опубликована: Апрель 1, 2024

Язык: Английский

Strategies and Challenges of Identifying Nanoplastics in Environment by Surface-Enhanced Raman Spectroscopy DOI
Lifang Xie, Kedong Gong, Yangyang Liu

и другие.

Environmental Science & Technology, Год журнала: 2022, Номер 57(1), С. 25 - 43

Опубликована: Дек. 28, 2022

Nanoplastics (<1000 nm) have been evidenced to be universal in a variety of environmental media. They pose potential cytotoxicity and health risk due their tiny size, which allows them easily penetrate biological barriers enter cells. Here, we briefly review the various prevalent analytical techniques or tools for identifying nanoplastics, further move focus on advantages disadvantages. Surface-enhanced Raman spectroscopy (SERS) has implemented identification individual nanoparticles because its high sensitivity molecules ease rapid characterization. Therefore, introduce SERS technique following aspects, (1) principles SERS; (2) strategies advances detection nanoplastics; (3) applying real samples. We put our effort into summarization efficient substrates that essentially enable better extend discuss how reported nanoplastics pretreatment methodologies can bring analysis practical applications. A step moving forward is investigate problems challenges currently applied methods look at future research needs employing analysis.

Язык: Английский

Процитировано

114

Identification of Poly(ethylene terephthalate) Nanoplastics in Commercially Bottled Drinking Water Using Surface-Enhanced Raman Spectroscopy DOI Creative Commons
Junjie Zhang, Miao Peng, Enkui Lian

и другие.

Environmental Science & Technology, Год журнала: 2023, Номер 57(22), С. 8365 - 8372

Опубликована: Май 23, 2023

Micro/nanoplastics have emerged as global contaminants of serious concern to human and ecosystem health. However, identification visualization microplastics particularly nanoplastics remained elusive due the lack feasible reliable analytical approaches, for trace nanoplastics. Here, an efficient surface-enhanced Raman spectroscopy (SERS)-active substrate with triangular cavity arrays is reported. The fabricated exhibited high SERS performance standard polystyrene (PS) nanoplastic detection size down 50 nm a limit 0.001% (1.5 × 1011 particles/mL). Poly(ethylene terephthalate) (PET) collected from commercially bottled drinking water were detected average mean ∼88.2 nm. Furthermore, concentration sample was estimated be about 108 particles/mL by nanoparticle tracking analysis (NTA), annual consumption beings through also 1014 particles, assuming 2 L/day adults. facile highly sensitive provides more possibilities detecting in aquatic environment sensitivity reliability.

Язык: Английский

Процитировано

73

Quantitative analysis of nanoplastics in environmental and potable waters by pyrolysis-gas chromatography–mass spectrometry DOI Creative Commons
Elvis D. Okoffo, Kevin V. Thomas

Journal of Hazardous Materials, Год журнала: 2023, Номер 464, С. 133013 - 133013

Опубликована: Ноя. 16, 2023

Nanoplastics are emerging environmental contaminants, but their presence in and potable water remains largely understudied due to the absence of quantitative analytical methods. In this study, we developed validated a pretreatment method that combines hydrogen peroxide digestion Amicon® Stirred Cell ultrafiltration (at 100 kDa, approximately 10 nm) with subsequent detection by pyrolysis gas chromatography-mass spectrometry (Pyr-GC/MS). This allows for simultaneous identification quantification nine selected nanoplastic types, including poly(ethylene terephthalate) (PET), polyethylene (PE), polycarbonate (PC), polypropylene (PP), poly(methyl methacrylate) (PMMA), polystyrene (PS), polyvinylchloride (PVC), nylon 6, 66, samples based on polymer-specific mass concentration. Limits ranged from 0.01 0.44 µg/L, demonstrating method's ability quantitatively detect nanoplastics samples. Most were detected at concentrations between 0.04 1.17 except PC, which was consistently below limit (<0.44 µg/L). The prevalent polymer components PE (0.10 - µg/L), PET (0.06 0.91 PP (0.04 0.79 PS 0.53 µg/L) nanoplastics. presented offers an accurate means identify, quantify, monitor complex It fills gaps our understanding pollution levels, providing valuable methodology crucial reference data future studies.

Язык: Английский

Процитировано

71

The suitability and mechanism of polyaluminum-titanium chloride composite coagulant (PATC) for polystyrene microplastic removal: Structural characterization and theoretical calculation DOI
Beibei Liu, Yue Gao, Qinyan Yue

и другие.

Water Research, Год журнала: 2023, Номер 232, С. 119690 - 119690

Опубликована: Фев. 2, 2023

Язык: Английский

Процитировано

57

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

Eun Hye Koh,

Jun-Young Yang

и другие.

Advanced Functional Materials, Год журнала: 2023, Номер 34(2)

Опубликована: Сен. 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.

Язык: Английский

Процитировано

48

Analysis of aged microplastics: a review DOI Creative Commons

Yanqi Shi,

Linping Shi,

Hexinyue Huang

и другие.

Environmental Chemistry Letters, Год журнала: 2024, Номер 22(4), С. 1861 - 1888

Опубликована: Апрель 4, 2024

Abstract Microplastics are emerging contaminants that undergo progressive aging under environmental conditions such as sunlight irradiation, mechanical forces, temperature variations, and the presence of biological organisms. Since modifies microplastic properties, their own toxicity trapped pollutants, advanced methods to analyze microplastics required. Here we review with focus on process, qualitative identification, quantitative characterization, chemometrics. Qualitative identification is done by techniques, thermal e.g., degradation gas chromatography–mass spectrometry, spectral infrared, Raman, fluorescent, laser techniques. Quantitative characterization microscopy mass spectrometry. Microplastic results in a series surface physical changes, biofilm formation, chemical oxidation, alternation, deterioration. Changes properties allow differentiate aged microplastics. Infrared Raman spectroscopy rapid sensitive for complex samples. Combining two techniques preferable accurate detection categorization.

Язык: Английский

Процитировано

32

Silver nanostars arrayed on GO/MWCNT composite membranes for enrichment and SERS detection of polystyrene nanoplastics in water DOI
Ye Jiang, Xiaochan Wang, Guo Zhao

и другие.

Water Research, Год журнала: 2024, Номер 255, С. 121444 - 121444

Опубликована: Март 11, 2024

Язык: Английский

Процитировано

25

Microplastics in drinking water: A review on methods, occurrence, sources, and potential risks assessment DOI
Ling Yang, Shichang Kang, Xi Luo

и другие.

Environmental Pollution, Год журнала: 2024, Номер 348, С. 123857 - 123857

Опубликована: Март 25, 2024

Язык: Английский

Процитировано

21

Recent advances and future technologies in nano-microplastics detection DOI Creative Commons
Ajinkya Nene,

Sorour Sadeghzade,

Stefano Viaroli

и другие.

Environmental Sciences Europe, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 8, 2025

The degradation of mismanaged plastic waste in the environment results formation microplastics (MPs) and nanoplastics (NPs), which pose significant risks to ecosystems human health. These particles are pervasive, detected even remote regions, can enter food chain, accumulating organisms causing harm depending on factors such as particle load, exposure dose, presence co-contaminants. Detecting analyzing NMPs present unique challenges, particularly size decreases, making them increasingly difficult identify. Moreover, absence standardized protocols for their detection analysis further hinders comprehensive assessments environmental biological impacts. This review provides a detailed overview latest advancements technologies sampling, separation, measurement, quantification NMPs. It highlights promising approaches, supported by practical examples from recent studies, while critically addressing persistent challenges characterization, analysis. work examines cutting-edge developments nanotechnology-based detection, integrated spectro-microscopic techniques, AI-driven classification algorithms, offering solutions bridge gaps NMP research. By exploring state-of-the-art methodologies presenting future perspectives, this valuable insights improving capabilities at micro- nanoscale, enabling more effective across diverse contexts.

Язык: Английский

Процитировано

13

Exploring Innovative Approaches for the Analysis of Micro- and Nanoplastics: Breakthroughs in (Bio)Sensing Techniques DOI Creative Commons
Denise Margarita Rivera-Rivera, Gabriela Elizabeth Quintanilla-Villanueva, Donato Luna-Moreno

и другие.

Biosensors, Год журнала: 2025, Номер 15(1), С. 44 - 44

Опубликована: Янв. 13, 2025

Plastic pollution, particularly from microplastics (MPs) and nanoplastics (NPs), has become a critical environmental health concern due to their widespread distribution, persistence, potential toxicity. MPs NPs originate primary sources, such as cosmetic microspheres or synthetic fibers, secondary fragmentation of larger plastics through degradation. These particles, typically less than 5 mm, are found globally, deep seabeds human tissues, known adsorb release harmful pollutants, exacerbating ecological risks. Effective detection quantification essential for understanding mitigating impacts. Current analytical methods include physical chemical techniques. Physical methods, optical electron microscopy, provide morphological details but often lack specificity time-intensive. Chemical analyses, Fourier transform infrared (FTIR) Raman spectroscopy, offer molecular face challenges with smaller particle sizes complex matrices. Thermal including pyrolysis gas chromatography–mass spectrometry (Py-GC-MS), compositional insights destructive limited in analysis. Emerging (bio)sensing technologies show promise addressing these challenges. Electrochemical biosensors cost-effective, portable, sensitive platforms, leveraging principles voltammetry impedance detect adsorbed pollutants. Plasmonic techniques, surface plasmon resonance (SPR) surface-enhanced spectroscopy (SERS), high sensitivity nanostructure-enhanced detection. Fluorescent utilizing microbial enzymatic elements enable the real-time monitoring plastic degradation products, terephthalic acid polyethylene terephthalate (PET). Advancements innovative approaches pave way more accurate, scalable, environmentally compatible solutions, contributing improved remediation strategies. This review highlights advanced section on prospects that address could lead significant advancements monitoring, highlighting necessity testing new sensing developments under real conditions (composition/matrix samples), which overlooked, well study peptides novel recognition element microplastic sensing.

Язык: Английский

Процитировано

6