volume 831 pages 154907

Detection of microplastics in human lung tissue using μFTIR spectroscopy

Lauren C. Jenner 1
J.M Rotchell 2
Robert T. Bennett 3
Michael Cowen 3
Vasileios Tentzeris 3
Laura R. Sadofsky 1
Publication typeJournal Article
Publication date2022-07-01
scimago Q1
wos Q1
SJR2.137
CiteScore16.4
Impact factor8.0
ISSN00489697, 18791026
Environmental Chemistry
Environmental Engineering
Pollution
Waste Management and Disposal
Abstract
Airborne microplastics (MPs) have been sampled globally, and their concentration is known to increase in areas of high human population and activity, especially indoors. Respiratory symptoms and disease following exposure to occupational levels of MPs within industry settings have also been reported. It remains to be seen whether MPs from the environment can be inhaled, deposited and accumulated within the human lungs. This study analysed digested human lung tissue samples (n = 13) using μFTIR spectroscopy (size limitation of 3 μm) to detect and characterise any MPs present. In total, 39 MPs were identified within 11 of the 13 lung tissue samples with an average of 1.42 ± 1.50 MP/g of tissue (expressed as 0.69 ± 0.84 MP/g after background subtraction adjustments). The MP levels within tissue samples were significantly higher than those identified within combined procedural/laboratory blanks (n = 9 MPs, with a mean ± SD of 0.53 ± 1.07, p = 0.001). Of the MPs detected, 12 polymer types were identified with polypropylene, PP (23%), polyethylene terephthalate, PET (18%) and resin (15%) the most abundant. MPs (unadjusted) were identified within all regions of the lung categorised as upper (0.80 ± 0.96 MP/g), middle/lingular (0.41 ± 0.37 MP/g), and with significantly higher levels detected in the lower (3.12 ± 1.30 MP/g) region compared with the upper (p = 0.026) and mid (p = 0.038) lung regions. After subtracting blanks, these levels became 0.23 ± 0.28, 0.33 ± 0.37 and 1.65 ± 0.88 MP/g respectively. The study demonstrates the highest level of contamination control and reports unadjusted values alongside different contamination adjustment techniques. These results support inhalation as a route of exposure for environmental MPs, and this characterisation of types and levels can now inform realistic conditions for laboratory exposure experiments, with the aim of determining health impacts.
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GOST Copy
Jenner L. C. et al. Detection of microplastics in human lung tissue using μFTIR spectroscopy // Science of the Total Environment. 2022. Vol. 831. p. 154907.
GOST all authors (up to 50) Copy
Jenner L. C., Rotchell J., Bennett R. T., Cowen M., Tentzeris V., Sadofsky L. Detection of microplastics in human lung tissue using μFTIR spectroscopy // Science of the Total Environment. 2022. Vol. 831. p. 154907.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.scitotenv.2022.154907
UR - https://doi.org/10.1016/j.scitotenv.2022.154907
TI - Detection of microplastics in human lung tissue using μFTIR spectroscopy
T2 - Science of the Total Environment
AU - Jenner, Lauren C.
AU - Rotchell, J.M
AU - Bennett, Robert T.
AU - Cowen, Michael
AU - Tentzeris, Vasileios
AU - Sadofsky, Laura R.
PY - 2022
DA - 2022/07/01
PB - Elsevier
SP - 154907
VL - 831
PMID - 35364151
SN - 0048-9697
SN - 1879-1026
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Jenner,
author = {Lauren C. Jenner and J.M Rotchell and Robert T. Bennett and Michael Cowen and Vasileios Tentzeris and Laura R. Sadofsky},
title = {Detection of microplastics in human lung tissue using μFTIR spectroscopy},
journal = {Science of the Total Environment},
year = {2022},
volume = {831},
publisher = {Elsevier},
month = {jul},
url = {https://doi.org/10.1016/j.scitotenv.2022.154907},
pages = {154907},
doi = {10.1016/j.scitotenv.2022.154907}
}