Cited by 0Microplastics and Plastic PollutionAir Quality and Health ImpactsToxic Organic Pollutants Impact

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index; 2 of the 37 sources its claims cite were checked for support.

Airborne microplastic exposure and urinary oxidative damage biomarkers in populations living in traffic-congested areas

Open access

Abstract

Airborne microplastics (MP) have emerged as a growing environmental and human health concern globally. This study aimed to investigate associations between exposure to traffic-related airborne MP and oxidative damage among residents living in different traffic-congested areas in Bangkok, Thailand. Ambient and personal air samples were collected from low-, medium-, and high-traffic areas. From pyrolysis-GC-MS analyses, airborne MP concentrations significantly increased ( p < 0.01) in locations with higher traffic density, measuring 1.25, 2.25 and 2.75 µg/m 3 for low-, medium- and high-traffic locations, respectively. In line with traffic-related airborne MP, personal exposure was highest in the high-exposed group (2.82 µg/m 3 ), which was significantly higher than the medium- and low-exposed groups by 1.50- and 2.32-fold, respectively. Urinary MP concentrations, a potential internal MP exposure indicator, also increased in an exposure-dependent manner. The high-exposed group (4.63 mg/g creatinine) had MP concentrations that were 1.36- and 1.8-fold higher than the medium- and low-exposed groups, respectively. MP polymers for airborne and personal exposure showed similar profiles. Polyethylene (PE) was the most predominant polymer, followed by polyvinyl chloride (PVC), nylon (N66), and styrene-butadiene rubber (SBR). Additionally, urinary oxidative damage to DNA (8-hydroxydeoxyguanosine, 8-OHdG, and ethenodeoxyadenosine (1,N6-ƐdA), lipid (8-isoprostane, 8-iso-PGF2α), and protein (dityrosine) were significantly increased in medium- and high traffic-exposed groups. Significant positive associations were found between personal exposure to airborne MP, urinary MP, and oxidative damage. This integrative study revealed that exposure to traffic-related airborne MP was associated with oxidative damage, highlighting its potential biological relevance and possible negative impacts on individuals and public health.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

In a cross-sectional Bangkok study, traffic-related airborne microplastic exposure was higher in high-traffic areas and was associated with higher urinary microplastic and oxidative damage biomarkers. The authors conclude that high-traffic populations may face increased MP exposure and oxidative stress, though causality cannot be established.

Key findings

  • Airborne MP concentrations were highest in high-traffic areas (2.75±0.23 µg/m³), followed by medium- (2.25±0.14 µg/m³) and low-traffic areas (1.25±0.23 µg/m³); high-traffic levels were 1.20-fold higher than medium (p<0.05) and 2.20-fold higher than low (p<0.01).
  • Personal MP exposure was highest in the high-exposed group (2.82 µg/m³), 1.5-fold higher than medium (1.90 µg/m³, p<0.01) and 2.2-fold higher than low (1.28 µg/m³, p<0.001); post-shift urinary MP was highest in the high-exposed group (4.63 mg/g Cr) versus medium (3.39 mg/g Cr) and low (2.51 mg/g Cr; q=0.021).
  • Oxidative damage biomarkers were elevated in exposed groups: 8-OHdG was 1.53-fold higher in medium (9.10 µg/g Cr) and 1.50-fold higher in high (10.62 µg/g Cr) versus low; 8-iso-PGF2α rose from 0.63 µg/g Cr in low to 2.97 µg/g Cr in medium (4.71-fold) and 4.89 µg/g Cr in high (7.78-fold); dityrosine was 20.20-fold higher in high (214.9 µg/g Cr) and 8.22-fold higher in medium (87.50 µg/g Cr) versus low (10.64 µg/g Cr).
  • In adjusted models, total personal MP was associated with 1,N6-εdA (β=0.331, q=0.027), and total urinary MP was associated with 8-iso-PGF2α (β=0.228, q=0.013); PE was associated with urinary dityrosine (β=0.255, q=0.007), 8-OHdG (β=0.221, q=0.017), and 1,N6-εdA (β=0.210, q=0.001).

Methods

  • Cross-sectional study in Bangkok with 120 healthy, non-smoking adults aged 20–60 years: 39 low-, 41 medium-, and 40 high-traffic residents who had lived in the areas for at least one year; exclusions included smoking, pregnancy, and severe chronic illnesses such as cancer.
  • Ambient air samples (n=16) and personal air samples (n=120) were collected with cascade impactors at 9 L/min for 6–8 hours, size-fractionated into >2.5, 1–2.5, 0.5–1, and 0.25–0.5 µm fractions; MP was quantified by Pyr-GC-Orbitrap-MS for 12 polymers. Morning and afternoon spot urine samples were analyzed for MP and for oxidative damage biomarkers by LC-MS/MS, with creatinine measurement.
  • Statistical analysis used one-way ANOVA, Mann-Whitney U tests, FDR correction (Benjamini-Hochberg), Cohen’s d effect sizes, log transformation, and univariate and multivariate regression adjusted for gender, age, education, occupation, duration of traffic exposure, cigarette smoke exposure, and drinking water.

Limitations

  • Stated by the paper: uncertain validity of urinary MP as an exposure indicator, limited number of ambient samples, non-specificity of oxidative biomarkers, lack of measurement of co-pollutants such as PAHs and metals, and a cross-sectional design that limits causal inference and generalizability.
  • Evident from the text: oxidative damage biomarkers can be influenced by external factors such as diet, smoking, and environmental exposure, and the study measured urinary cotinine but did not fully exclude all possible confounders beyond those adjusted for.

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

Integrity signals

Registry

Crossref · 10.1016/j.hazadv.2026.101571

Cites

32 of 32 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
Fig. 1 Characterization of airborne MP in different traffic locations
Fig. 1 Characterization of airborne MP in different traffic locationsCC-BY-NC-ND · From the PDF
Image 4
CC-BY-NC-ND · From the PDF
Fig. 3 Spaghetti plots of urinary MP concentrations between morning and afternoon in various study groups
Fig. 3 Spaghetti plots of urinary MP concentrations between morning and afternoon in various study groupsCC-BY-NC-ND · From the PDF
Fig. 4 Concentrations of total MP and polymers in urine samples of the study Subjects
Fig. 4 Concentrations of total MP and polymers in urine samples of the study SubjectsCC-BY-NC-ND · From the PDF
Fig. 5 Correlation matrix heatmap showing associations between personal exposure to MP and urinary MP in the study groups
Fig. 5 Correlation matrix heatmap showing associations between personal exposure to MP and urinary MP in the study groupsCC-BY-NC-ND · From the PDF
Fig. 6 Correlation matrix heatmap showing associations between urinary biomarkers of oxidative damage and personal MP exposure
Fig. 6 Correlation matrix heatmap showing associations between urinary biomarkers of oxidative damage and personal MP exposureCC-BY-NC-ND · From the PDF
Fig. 7 Correlation matrix heatmap showing associations between urinary biomarkers of oxidative damage and urinary MP
Fig. 7 Correlation matrix heatmap showing associations between urinary biomarkers of oxidative damage and urinary MPCC-BY-NC-ND · From the PDF
Image 10
CC-BY-NC-ND · From the PDF

Verification

Claims the paper makes

75 Own result · 16 Check pending · 14 Own method · 13 Own interpretation · 8 Sources not found · 5 No full text of the sources · 1 Partly supported

Verify all 19 references — free account

Show all 64 claims

  • It may state two separate claims as one. 51
  • Probably not a substantial claim. 28
  • The quote only partly states this claim. 1
68 of 68
  • The paper relies on this without support.

    Urinary microplastic concentration is a valid indicator of internal microplastic exposure.

    “Measurement of the MP concentration in urine was used to assess the potential internal MP exposure indicaator in study subjects.”
  • The paper relies on this without support.

    Urinary oxidative damage biomarkers reflect oxidative damage relevant to health effects from microplastic exposure.

    “Urinary biomarkers of oxidative damage in DNA, lipids, and proteins were determined in study subjects to assess potential health effects.”
  • The paper relies on this without support.

    Urinary microplastics detected in study subjects originate from inhaled airborne microplastics rather than other sources.

    “These findings suggest that personal exposure to traffic-related airborne MP is associated with internal exposure to MP as indicated by urinary MP.”
  • The paper relies on this without support.

    Submicron-sized MP can penetrate deep into the respiratory tract.

    “suggesting the potential for significant health impacts of exposure due to the fact that submicron sized-MP can penetrate deep into the respiratory tract.”
  • The paper relies on this without support.

    Inhaled MP enter the urinary system via the blood circulation, and their toxic mechanisms primarily involve oxidative stress.

    “It has been reported that inhaled MP enter the urinary system via the blood circulation, and their toxic mechanisms primarily involve oxidative stress.”
  • The paper relies on this without support.

    MP particles, particularly fibers, can reach and persist in the lungs, potentially triggering biological responses such as inflammation.

    “In addition, MP particles, particularly fibers, can reach and persist in the lungs, potentially triggering biological responses such as inflammation.”
  • The paper relies on this without support.

    Urinary etheno-DNA adducts are a biomarker for assessing DNA damage resulting from lipid peroxidation and oxidative stress.

    “Urinary etheno-DNA adducts, a promutagenic DNA lesion, is a biomarker for assessing DNA damage resulting from lipid peroxidation and oxidative stress.”
  • The paper relies on this without support.

    Dityrosine is a biomarker of protein oxidation formed by covalent cross-linking of two tyrosine radicals, often induced by ROS and inflammation.

    “Dityrosine, is a biomarker of protein oxidation formed by the covalent cross-linking of two tyrosine radicals, often induced by ROS and inflammation.”
8 of 8

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.

7 of 7

Citations

Cites

Research works printed but not linked: 9

  1. Gautam, 2022, Evaluation of potential toxicity of polyethylene microplastics on human derived cell lines, Sci. Total. Env., 838
  2. Herrala, 2023, Micro-sized polyethylene particles affect cell viability and oxidative stress responses in human colorectal adenocarcinoma Caco-2 and HT-29 cells, Sci. Total. Enviorn., 867
  3. Huang, 2024, Micro/nano plastics in the urinary system: pathways, mechanisms, and health risks, Enviorn. Int., 193
  4. Jahanzaib, 2025, Microplastics comparison of indoor and outdoor air and ventilation rate effect in outskirts of the Seoul metropolitan city, Emerg. Contam., 11
  5. Lenssen, 2025, Traffic-related micro- and nanoplastics in air increase total and differential white blood cell counts in healthy young adults, Enviorn. Int., 203
  6. Leonard, 2024, Microplastics in human blood: polymer types, concentrations and characterisation using muFTIR, Enviorn. Int., 188
  7. Song, 2024, Internal and external microplastic exposure in young adults: a pilot study involving 26 college students in Changsha, China, Environ. Res., 263
  8. Vincenzo, 2023, Oxidative stress, environmental pollution, and lifestyle as determinants of asthma in children, Biology (Basel), 12, 133
  9. Zhang, 2024, Rewiring the nexus between urban traffic pollution-derived polycyclic aromatic hydrocarbon exposure and DNA injury via urinary metabolomics, Environ. Pollut., 363

Cited by

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Metadata

Authors
Navasumrit, P., Chompoobut, C., Rattanayut, P., Kuntinuguntanon, A., Waeya, S., Kanitwithayanun, J., & Ruchirawat, M.
Affiliations
  • Chulabhorn Graduate Institute (TH)
  • Chulabhorn Research Institute (TH)
Corresponding author
Ruchirawat, Mathuros
Venue
Journal of Hazardous Materials Advances
Publisher
Elsevier BV
Published
2026-11
Volume
24
Pages
101571
ISSN
2772-4166 (ISSN-L)
OpenAlex
W7213406650
Cited by
0
References
32
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Journal of Hazardous Materials Advances (publishedVersion, cc-by-nc-nd)
  • SSRN Electronic Journal (submittedVersion)
Funders
  • Chulabhorn Research Institute (312/3057)
  • Thailand Science Research and Innovation (2538621)
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 › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
Keywords
airborne microplastics, nanoplastics, traffic-related air pollution, personal exposure, urinary biomarkers, oxidative DNA damage, lipid peroxidation, protein oxidation, 8-hydroxy-2'-deoxyguanosine, 8-isoprostane, dityrosine, polyethylene, polyvinyl chloride, traffic congestion, Bangkok

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