Cited by 79Microplastics and Plastic PollutionAir Quality and Health ImpactsPharmaceutical and Antibiotic Environmental Impacts

The DOI matches its Crossref record; 75 of the 76 references it cites were found in a registry or an index, and 1 are not checked yet; none of the 28 sources its claims cite is checked for support yet.

Microplastics and nanoplastics science: collecting and characterizing airborne microplastics in fine particulate matter

Open access
Rahman, Luna, Mallach, Gary, Kulka, Ryan, Halappanavar, Sabina·2021·Nanotoxicology

Abstract

Microplastic (MP) pollution in the environment is increasing, leading to growing concerns about human exposures and the subsequent impact on health. Although marine MP research has received significant attention in recent years, only a few studies have attempted characterization of MP in air and examined the MP uptake and influence via inhalation on human health. Moreover, the methods used for MP characterization in the marine environment require further optimization to be applicable to MP in the air. This paper details method for collecting and characterizing MP < 2.5 μm in air samples for the purposes of toxicological assessment. The first phase of the study evaluated (a) the suitability of various filter types to collect respirable airborne MP <2.5 μm, and; (b) the ability of Raman and enhanced darkfield-hyperspectral spectroscopy methods to identify MP reference standards collected from spiked filters and in cells after exposure to reference MP. In the second phase, these methods were employed to characterize MP <2.5 μm in personal, indoor and outdoor filter air samples and in cells following exposure to filter extracted material. The results showed the presence of a variety of MP in the respirable size fraction (0.1–1 µm aerodynamic diameter). Silver membrane filters were found not suitable for collecting and analyzing MP <2.5 μm. While it was easy to detect reference MP in cells post-exposure, the identity of only two types of air-borne MP was confirmed in cells. The study highlighted possible sources of artifacts and inconsistencies in analyzing airborne MP.

Checked 2026-11-12 · 1 reference not checked yet

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This methods paper optimized collection and characterization of airborne microplastics <2.5 µm in PM2.5 using Raman spectroscopy and enhanced darkfield-hyperspectral imaging (EDF-HSI). It found silver membrane filters unsuitable, Teflon filters suitable, and confirmed diverse respirable microplastics in personal, indoor, and outdoor air and in A549 cells after exposure.

Key findings

  • Silver membrane filters were not suitable for collecting and analyzing microplastics <2.5 µm: silver interacted with polystyrene and LDPE, modified Raman spectra, and the mottled filter appearance hindered visualization; Teflon filters were suitable for extraction.
  • Raman required CaF₂ slides and 532 nm excitation; the C–H stretching region was most useful because Carbon Black masked fingerprint regions. EDF-HSI gave size-specific polystyrene peaks at 515–575 nm (60 nm), 525–550 nm (100 nm), 560–610 nm (300 nm), and 665–675 nm (1 µm), with aggregated 1 µm particles showing a bimodal peak at 600 and 675 nm.
  • In air samples, nylon was present in almost all samples and made up 72% of total microplastics identified, with about 30% of nylon being fibers; other polymers included PP, PE, CPE, styrene copolymer, PVC packaging formulation, and PUR. In cells exposed to air extracts, none of the reference polystyrene spectra matched, but two of four UV-irradiated plastic libraries—CPE and PE—matched particles.
  • Automated Particle Finder identification had 99% success in spiked samples but only 30% in environmental samples; analyzing 20 particles took 15–30 min versus about 1.5 h manually. Reference microplastics at 25 or 50 µg/mL did not cause appreciable loss of A549 cell viability.

Methods

  • Two-phase design: Phase 1 tested filter types and analytical methods with reference microplastics—polystyrene beads (1 µm, 300 nm, 100 nm, 60 nm), ETFE (~300 nm), LDPE, nylon, and PP—on Teflon, silver membrane, and CaF₂ substrates; Phase 2 characterized microplastics <2.5 µm in personal, indoor, and outdoor PM2.5 filters and in A549 cells exposed to filter extracts.
  • Air samples included 24 h personal 37 mm Teflon filters from 54 children with asthma in Montreal, 7-day outdoor 47 mm Teflon and indoor/outdoor 37 mm Teflon filters from a Montreal congestive heart failure study, and new 96 h indoor 37 mm silver membrane filters. Extraction used methanol and 10 min sonication; Raman used 532 nm excitation with HQI >0.70 for identification, and EDF-HSI used spectral angle mapping at 0.1 radians.
  • A549 cells were exposed for 24 h to 50 µg/mL individual or mixed polystyrene particles or to 10 µL of air filter extract; viability was measured by Trypan blue exclusion.

Limitations

  • Stated in the paper: the microplastic list is not complete because of insufficient extracted material, high background chemical constituents, and time-consuming protocols; identified microplastics were not characterized for surface organic/inorganic composition; EDF-HSI requires a priori knowledge and reference spectral libraries that are not publicly available; extracted microplastics could not be quantified, so toxicity conclusions are premature; validation was performed only for clean filters spiked with polystyrene, not for real air samples.
  • Evident from the text: silver membrane filters chemically transformed microplastics during extraction; 30% H₂O₂ damaged microplastics; sonication longer than 10 min degraded filters and contaminated samples; Raman could not detect individual 60 nm polystyrene, and Raman signatures below 1 µm on filters referred to concentrated aggregates rather than singular particles.
  • Evident from the text: Carbon Black masked microplastic Raman signatures in many samples, and the study could not comprehensively analyze all potential airborne microplastics.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1080/17435390.2021.2018065

Cites

75 of 76 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Image 1
CC-BY-NC-ND · From the PDF
Image 2
CC-BY-NC-ND · From the PDF
Image 3
CC-BY-NC-ND · From the PDF
Image 4
CC-BY-NC-ND · From the PDF
Image 5
CC-BY-NC-ND · From the PDF
Figure 2 Optimization of Raman parameters for plastic detection in ambient and indoor air samples. (A) Brightfield images of CaF2 slide deposited with 1 m m, 300 nm and 100 nm polystyrene (PS) at 50x magnification and at 100x magnification; (B) Raman spectra of PS deposited on CaF2 slide. The bands at  990 (1),  1200 (2),  1600 (3),  2900 (4), and  3050 (5) cm  1 were used to identify PS. Raman spectra were acquired at 532 nm laser excitation wavelength using 10mW laser intensity, 600 (inset) or 1200 (the main graph) line mm  1 grating, 100 m m slit and 300 m m hole. CaF2: Calcium fluoride.
Figure 2 Optimization of Raman parameters for plastic detection in ambient and indoor air samples. (A) Brightfield images of CaF2 slide deposited with 1 m m, 300 nm and 100 nm polystyrene (PS) at 50x magnification and at 100x magnification; (B) Raman spectra of PS deposited on CaF2 slide. The bands at  990 (1),  1200 (2),  1600 (3),  2900 (4), and  3050 (5) cm 1 were used to identify PS. Raman spectra were acquired at 532 nm laser excitation wavelength using 10mW laser intensity, 600 (inset) or 1200 (the main graph) line mm 1 grating, 100 m m slit and 300 m m hole. CaF2: Calcium fluoride.CC-BY-NC-ND · From the PDF
Image 7
CC-BY-NC-ND · From the PDF
Figure 4 Detection and hyperspectral analysis of PS using a CytoViva hyperspectral microscope. HSI (hyperspectral image).
Figure 4 Detection and hyperspectral analysis of PS using a CytoViva hyperspectral microscope. HSI (hyperspectral image).CC-BY-NC-ND · From the PDF
Image 9
CC-BY-NC-ND · From the PDF
Figure 6 EDF-HSI analysis of A549 cells exposed to individual or mixture of reference MPs. (A) darkfield images of A549 cells exposed for 24 h to media only, 50 m g/mL of individual PS types or 50 m g/mL of a mixture of all PS, (B) the corresponding mapped HSI images and (C) representative spectra of the mapped PS. Arrows show mapped PS.
Figure 6 EDF-HSI analysis of A549 cells exposed to individual or mixture of reference MPs. (A) darkfield images of A549 cells exposed for 24 h to media only, 50 m g/mL of individual PS types or 50 m g/mL of a mixture of all PS, (B) the corresponding mapped HSI images and (C) representative spectra of the mapped PS. Arrows show mapped PS.CC-BY-NC-ND · From the PDF
Image 11
CC-BY-NC-ND · From the PDF
Image 12
CC-BY-NC-ND · From the PDF
Image 13
CC-BY-NC-ND · From the PDF

Verification

Claims the paper makes

104 Own result · 36 Own interpretation · 9 Check pending · 9 Own method · 6 Not checked yet · 4 No full text of the sources · 4 No basis given · 1 Sources not found

Verify all 13 references — free account

Show all 101 claims

  • It may state two separate claims as one. 50
  • The quote only partly states this claim. 6
  • Probably not a substantial claim. 23
72 of 72
  • The paper relies on this without support.

    Most people spend approximately 90% of their time indoors.

    “As most people spend approximately 90% of their time indoors, data on both indoor and outdoor MP exposures will be required to understand their sources, pathways, fate, and distribution.”
  • The paper relies on this without support.

    Commercially available reference MP does not represent what is present in the air.

    “Since commercially available reference MP does not represent what is present in the air, in addition to reference materials, MP was prepared from UV weathering of the commonly used plastic materials.”
  • The paper relies on this without support.

    MP and NP in environmental samples are expected to undergo weathering and/or may be complexed with other contaminants, which may result in lower HQI.

    “However, MP and NP in environmental samples are expected to undergo weathering and/or may be complexed with other contaminants, which may result in lower HQI.”
  • The paper relies on this without support.

    The HQI value for homogeneous and unweathered samples will always be high.

    “The HQI value for homogeneous and unweathered samples will always be high.”
  • The paper relies on this without support.

    MP is ubiquitous in the environment.

    “MP is ubiquitous in the environment.”
  • The paper relies on this without support.

    The toxicity of silver ions in cells and bacteria is well-known.

    “However, MP collection on silver membrane filters for use in toxicological studies should be avoided due to the well-known toxicity of silver ions in cells and bacteria.”
  • The paper relies on this without support.

    General population exposures to MP are much lower than occupational exposures.

    “However, general population exposures are expected to be much lower than those found around the occupational area.”
  • The paper relies on this without support.

    Raman intensity is dependent on particle size.

    “As the Raman intensity is dependent on the particle size, the”
  • The paper relies on this without support.

    Spectral libraries for MP present in air are not available.

    “Also, spectral libraries for the MP present in the air are not available, making it very difficult to apply EDF-HSI to real exposure scenarios.”
  • The paper relies on this without support.

    The MP signature is expected in the region 250-3250 cm-1.

    “The silver membrane filter showed a band at $235 cm À1 (Supplementary Figure 1B top right panel) but no other significant peaks in the region of 250 cm À1 to 3250 cm À1 (the region in which MP signature is expected).”
  • The paper relies on this without support.

    Teflon filters are routinely used in air pollution research and regulatory monitoring.

    “Since Teflon filters are routinely used in air pollution research and regulatory monitoring, this optimized method will enable the ability for researchers to retrospectively investigate collected MP samples.”
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Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

Research works printed but not linked: 2

  1. Chen Qiqing, 2021, MedRxiv
  2. Pauly John L., 1998, Cancer Epidemiology and Prevention Biomarkers, 7, 419

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Metadata

Authors
Rahman, L., Mallach, G., Kulka, R., & Halappanavar, S.
Affiliations
Health Canada (CA)
Corresponding author
  • Mallach, Gary
  • Halappanavar, Sabina
Venue
Nanotoxicology
Published
2021-10-21
Volume
15
Issue
9
Pages
1253-1278
ISSN
  • 1743-5390 (ISSN-L)
  • 1743-5404
OpenAlex
W4206493315
Cited by
79
References
75
Citations by year
2026: 18 · 2025: 14 · 2024: 24 · 2023: 16 · 2022: 5
FWCI
2.80
Type
journal article
Language
en
Open access
Locations
  • Nanotoxicology (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
Health Canada
Topics
  • Physical Sciences › Environmental Science › Pollution › Microplastics and Plastic Pollution
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
Keywords
airborne microplastics, nanoplastics, PM2.5, respirable particles, filter type, Raman spectroscopy, microplastic characterization, indoor air, cell exposure
MeSH terms
Microplastics, Environmental Monitoring, Humans, Plastics, Particulate Matter

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