Literature DB >> 35278538

A review of analytical methods and models used in atmospheric microplastic research.

Xi Luo1, Zhaoqing Wang2, Ling Yang3, Tanguang Gao2, Yulan Zhang4.   

Abstract

Microplastic pollution in the environment has become a source of concern in recent years. The transport and deposition of suspended atmospheric microplastics play an important role in the global linkage of microplastic sources and sinks. In this review, we summarized recent research progress on sampling devices, pretreatments, and identification methods for atmospheric microplastics. The total suspended particles and atmospheric deposition, including dust, rainfall, and snow samples, are the environmental carriers for atmospheric microplastic studies. There are active and passive sampling methods. Pretreatment depends on sample types and identification methods and includes sieving, digestion, density separation, filtration, and drying. The measured features for atmospheric microplastics include particle size distributions, shapes, colors, surface morphology, and polymer compositions, using stereomicroscopes, Fourier transform infrared spectroscopy, scanning electron microscopy, Raman spectroscopy, and liquid chromatography-tandem mass spectrometry. Laser direct infrared spectroscopy and thermochemical methods coupled with mass spectrometry are potential methods for identifying atmospheric microplastics. Currently, models for estimating the fluxes of atmospheric microplastic emission, transport, and deposition are in the initial stages of development; their implementation will enhance our understanding of the "microplastic cycle" globally based on simulated and observed data.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atmosphere; Identification methods; Microplastic particles; Models; Pretreatment; Sampling

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Year:  2022        PMID: 35278538     DOI: 10.1016/j.scitotenv.2022.154487

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Generic approach for the discovery of drug metabolites in horses based on data-dependent acquisition by liquid chromatography high-resolution mass spectrometry and its applications to pharmacokinetic study of daprodustat.

Authors:  Hideaki Ishii; Mariko Shibuya; Kanichi Kusano; Yu Sone; Takahiro Kamiya; Ai Wakuno; Hideki Ito; Kenji Miyata; Fumio Sato; Taisuke Kuroda; Masayuki Yamada; Gary Ngai-Wa Leung
Journal:  Anal Bioanal Chem       Date:  2022-10-01       Impact factor: 4.478

Review 2.  Chromatographic-Based Platforms as New Avenues for Scientific Progress and Sustainability.

Authors:  José S Câmara; Cátia Martins; Jorge A M Pereira; Rosa Perestrelo; Sílvia M Rocha
Journal:  Molecules       Date:  2022-08-18       Impact factor: 4.927

3.  Airborne Microplastic in the Atmospheric Deposition and How to Identify and Quantify the Threat: Semi-Quantitative Approach Based on Kraków Case Study.

Authors:  Kinga Jarosz; Rafał Janus; Mariusz Wądrzyk; Wanda Wilczyńska-Michalik; Piotr Natkański; Marek Michalik
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

  3 in total

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