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Atmospheric deposition of microplastics: a sampling and analytical method including the associated measurement uncertainties

Ashta, Narain M., Crosset-Perrotin, Guillaume, Moraz, Angélique, Stoffel, Josua, Schilt, Ueli, Ceglie, Eric, Schoenenberger, David, Philipp, Matthias, Bucheli, Thomas D., Kaegi, Ralf, Hueglin, Christoph·2026·Atmospheric Measurement Techniques
DOI 10.5194/amt-19-371-2026

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Abstract

Microplastics (MPs) are environmental contaminants of global concern, and the atmosphere may play an important role in their environmental distribution. In this study, we developed a tailored analytical chain – including sample collection, processing, and analysis based on optical microscopy and focal plane array μ -Fourier transform infrared spectroscopy (FPA- μ -FTIR) – to quantify 20–215 µm MPs (excluding tire wear particles) in wet and dry atmospheric deposition samples. We present a novel sampling setup to collect particulate wet deposition, which consists of an on-site precipitation filtration device. Validation of the sampling setup via spike-recovery experiments using surrogate standards resulted in average recoveries of approximately 90 %, suggesting limited MP losses. Additionally, we developed a custom software platform that combines the results from optical microscopy and chemical imaging obtained through FPA- μ -FTIR. Furthermore, an assessment of the total measurement uncertainty was made by addressing each step of the analytical chain individually. The resulting total expanded uncertainty was approximately 90 % for determining MP numbers in a single wet or dry deposition sample. The conversion of MP numbers and associated size information into MP mass was estimated to generate an additional systematic error of 50 %. Based on analyses of blanks, the critical level and the limit of detection, number-based thresholds for minimizing false positives and false negatives, were 29 and 58 MPs per analyzed subsample, respectively. The analytical chain was applied to quantify the MP content in wet and dry atmospheric deposition samples collected at a suburban site in Switzerland. The principles and methodology used in this study to calculate the uncertainties, recoveries and limits of detection are transferrable to other analytical methods intended for MP analysis. Such an assessment of method-specific uncertainties is an important step towards enhancing the comparability of MP (monitoring) data.

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  1. Allen, S., Allen, D., Phoenix, V. R., Le Roux, G., Durántez Jiménez, P., Simonneau, A., Binet, S., and Galop, D.: Atmospheric transport and deposition of microplastics in a remote mountain catchment, Nat. Geosci., 12, 339–344, 10.1038/s41561-019-0335-5, 2019. · DOI · Paper page
  2. Allen, S., Allen, D., Baladima, F., Phoenix, V. R., Thomas, J. L., Le Roux, G., and Sonke, J. E.: Evidence of free tropospheric and long-range transport of microplastic at Pic du Midi Observatory, Nat. Commun., 12, 7242, 10.1038/s41467-021-27454-7, 2021. · DOI
  3. Barchiesi, M., Kooi, M., and Koelmans, A. A.: Adding Depth to Microplastics, Environ. Sci. Technol., 57, 14015–14023, 10.1021/acs.est.3c03620, 2023. · DOI
  4. Bellasi, A., Binda, G., Pozzi, A., Boldrocchi, G., and Bettinetti, R.: The extraction of microplastics from sediments: An overview of existing methods and the proposal of a new and green alternative, Chemosphere, 278, 130357, 10.1016/j.chemosphere.2021.130357, 2021. · DOI
  5. Brahney, J., Hallerud, M., Heim, E., Hahnenberger, M., and Sukumaran, S.: Plastic rain in protected areas of the United States, Science, 10.1126/science.aaz5819, 2020. · DOI
  6. Caldwell, J., Taladriz-Blanco, P., Lehner, R., Lubskyy, A., Ortuso, R. D., Rothen-Rutishauser, B., and Petri-Fink, A.: The micro-, submicron-, and nanoplastic hunt: A review of detection methods for plastic particles, Chemosphere, 293, 133514, 10.1016/j.chemosphere.2022.133514, 2022. · DOI
  7. Chamas, A., Moon, H., Zheng, J., Qiu, Y., Tabassum, T., Jang, J. H., Abu-Omar, M., Scott, S. L., and Suh, S.: Degradation Rates of Plastics in the Environment, ACS Sustain. Chem. Eng., 8, 3494–3511, 10.1021/acssuschemeng.9b06635, 2020. · DOI · Paper page
  8. Ciornii, D., Hodoroaba, V.-D., Benismail, N., Maltseva, A., Ferrer, J. F., Wang, J., Parra, R., Jézéquel, R., Receveur, J., Gabriel, D., Scheitler, A., van Oversteeg, C., Roosma, J., van Renesse van Duivenbode, A., Bulters, T., Zanella, M., Perini, A., Benetti, F., Mehn, D., Dierkes, G., Soll, M., Ishimura, T., Bednarz, M., Peng, G., Hildebrandt, L., Peters, M., Kim, S.-K., Türk, J., Steinfeld, F., Jung, J., Hong, S., Kim, E.-J., Yu, H.-W., Klockmann, S., Krafft, C., Süssmann, J., Zou, S., ter Halle, A., Giovannozzi, A. M., Sacco, A., Fadda, M., Putzu, M., Im, D.-H., Nhlapo, N., Carrillo-Barragán, P., Schmidt, N., Herzke, D., Gomiero, A., Jaén-Gil, A., Cabanes, D. J. E., Doedt, M., Cardoso, V., Schmitz, A., Hawly, M., Mo, H., Jacquin, J., Mechlinski, A., Adediran, G. A., Andrade, J., Muniategui-Lorenzo, S., Ramsperger, A., Löder, M. G. J., Laforsch, C., Cirkovic Velickovic, T., Fabbri, D., Coralli, I., Federici, S., Scholz-Böttcher, B. M., la Nasa, J., Biale, G., Rauert, C., Okoffo, E. D., Undas, A., An, L., Wachtendorf, V., Fengler, P., and Altmann, K.: Interlaboratory Comparison Reveals State of the Art in Microplastic Detection and Quantification Methods, Anal. Chem., 97, 8719–8728, 10.1021/acs.analchem.4c05403, 2025. · DOI
  9. Contreras, L., Edo, C., and Rosal, R.: Mass concentration of plastic particles from two-dimensional images, Sci. Total Environ., 946, 173849, 10.1016/j.scitotenv.2024.173849, 2024. · DOI · Paper page
  10. Costa-Gómez, I., Suarez-Suarez, M., Moreno, J. M., Moreno-Grau, S., Negral, L., Arroyo-Manzanares, N., López-García, I., and Peñalver, R.: A novel application of thermogravimetry-mass spectrometry for polystyrene quantification in the PM10 and PM2.5 fractions of airborne microplastics, Sci. Total Environ., 856, 159041, 10.1016/j.scitotenv.2022.159041, 2023. · DOI
  11. Currie, L. A.: Limits for qualitative detection and quantitative determination. Application to radiochemistry, Anal. Chem., 40, 586–593, 10.1021/ac60259a007, 1968. · DOI
  12. Dawson, A. L., Santana, M. F. M., Nelis, J. L. D., and Motti, C. A.: Taking control of microplastics data: A comparison of control and blank data correction methods, J. Hazard. Mater., 443, 130218, 10.1016/j.jhazmat.2022.130218, 2023. · DOI
  13. Dris, R., Gasperi, J., Saad, M., Mirande, C., and Tassin, B.: Synthetic fibers in atmospheric fallout: A source of microplastics in the environment?, Mar. Pollut. Bull., 104, 290–293, 10.1016/j.marpolbul.2016.01.006, 2016. · DOI
  14. Fan, W., Salmond, J. A., Dirks, K. N., Cabedo Sanz, P., Miskelly, G. M., and Rindelaub, J. D.: Evidence and Mass Quantification of Atmospheric Microplastics in a Coastal New Zealand City, Environ. Sci. Technol., 56, 17556–17568, 10.1021/acs.est.2c05850, 2022. · DOI
  15. Gan, Y., Yang, X., Zhong, L., Chen, X., Lin, M., Qing, X., Chen, L., Wang, J., and Huang, Y.: Airborne Microplastic Pollution in a Highly Urbanized City: Occurrence, Characteristics, Human Exposure and Potential Risks, Water. Air. Soil Pollut., 236, 451, 10.1007/s11270-025-08102-y, 2025. · DOI
  16. Hagelskjær, O., Crézé, A., Le Roux, G., and Sonke, J. E.: Investigating the correlation between morphological features of microplastics (5–500 μ m) and their analytical recovery, Microplastics Nanoplastics, 3, 22, 10.1186/s43591-023-00071-5, 2023. · DOI · Paper page
  17. Hartmann, N. B., Hüffer, T., Thompson, R. C., Hassellöv, M., Verschoor, A., Daugaard, A. E., Rist, S., Karlsson, T., Brennholt, N., Cole, M., Herrling, M. P., Hess, M. C., Ivleva, N. P., Lusher, A. L., and Wagner, M.: Are We Speaking the Same Language? Recommendations for a Definition and Categorization Framework for Plastic Debris, Environ. Sci. Technol., 53, 1039–1047, 10.1021/acs.est.8b05297, 2019. · DOI · Paper page
  18. Holstein, C. A., Griffin, M., Hong, J., and Sampson, P. D.: Statistical Method for Determining and Comparing Limits of Detection of Bioassays, Anal. Chem., 87, 9795–9801, 10.1021/acs.analchem.5b02082, 2015. · DOI
  19. Horton, A. A., Walton, A., Spurgeon, D. J., Lahive, E., and Svendsen, C.: Microplastics in freshwater and terrestrial environments: Evaluating the current understanding to identify the knowledge gaps and future research priorities, Sci. Total Environ., 586, 127–141, 10.1016/j.scitotenv.2017.01.190, 2017. · DOI · Paper page
  20. Hufnagl, B., Steiner, D., Renner, E., Löder, M. G. J., Laforsch, C., and Lohninger, H.: A methodology for the fast identification and monitoring of microplastics in environmental samples using random decision forest classifiers, Anal. Methods, 11, 2277–2285, 10.1039/C9AY00252A, 2019. · DOI
  21. Hufnagl, B., Stibi, M., Martirosyan, H., Wilczek, U., Möller, J. N., Löder, M. G. J., Laforsch, C., and Lohninger, H.: Computer-Assisted Analysis of Microplastics in Environmental Samples Based on μFTIR Imaging in Combination with Machine Learning, Environ. Sci. Technol. Lett., 9, 90–95, 10.1021/acs.estlett.1c00851, 2022. · DOI
  22. Huo, Y., Dijkstra, F. A., Possell, M., and Singh, B.: Plastics in soil environments: All things considered, in: Advances in Agronomy, Elsevier, 1–132, 10.1016/bs.agron.2022.05.002, 2022. · DOI
  23. Isobe, A., Buenaventura, N. T., Chastain, S., Chavanich, S., Cózar, A., DeLorenzo, M., Hagmann, P., Hinata, H., Kozlovskii, N., Lusher, A. L., Martí, E., Michida, Y., Mu, J., Ohno, M., Potter, G., Ross, P. S., Sagawa, N., Shim, W. J., Song, Y. K., Takada, H., Tokai, T., Torii, T., Uchida, K., Vassillenko, K., Viyakarn, V., and Zhang, W.: An interlaboratory comparison exercise for the determination of microplastics in standard sample bottles, Mar. Pollut. Bull., 146, 831–837, 10.1016/j.marpolbul.2019.07.033, 2019. · DOI
  24. Jacob, O., Ramírez-Piñero, A., Elsner, M., and Ivleva, N. P.: TUM-ParticleTyper 2: automated quantitative analysis of (microplastic) particles and fibers down to 1 μm by Raman microspectroscopy, Anal. Bioanal. Chem., 415, 2947–2961, 10.1007/s00216-023-04712-9, 2023. · DOI
  25. Joint Committee for Guides in Metrology: Evaluation of measurement data – Guide to the expression of uncertainty in measurement, 10.59161/JCGM100-2008E, 2008. · DOI · Paper page
  26. Keith, L. H., Crummett, W., Deegan, J., Libby, R. A., Taylor, J. K., and Wentler, G.: Principles of environmental analysis, Anal. Chem., 55, 2210–2218, 10.1021/ac00264a003, 1983. · DOI
  27. Kirchsteiger, B., Materić, D., Happenhofer, F., Holzinger, R., and Kasper-Giebl, A.: Fine micro- and nanoplastics particles (PM2.5) in urban air and their relation to polycyclic aromatic hydrocarbons, Atmos. Environ., 301, 119670, 10.1016/j.atmosenv.2023.119670, 2023. · DOI
  28. Klein, M. and Fischer, E. K.: Microplastic abundance in atmospheric deposition within the Metropolitan area of Hamburg, Germany, Sci. Total Environ., 685, 96–103, 10.1016/j.scitotenv.2019.05.405, 2019. · DOI
  29. Lao, W. and Wong, C. S.: How to establish detection limits for environmental microplastics analysis, Chemosphere, 327, 138456, 10.1016/j.chemosphere.2023.138456, 2023. · DOI
  30. Liu, Z., Bai, Y., Ma, T., Liu, X., Wei, H., Meng, H., Fu, Y., Ma, Z., Zhang, L., and Zhao, J.: Distribution and possible sources of atmospheric microplastic deposition in a valley basin city (Lanzhou, China), Ecotoxicol. Environ. Saf., 233, 113353, 10.1016/j.ecoenv.2022.113353, 2022. · DOI
  31. Lu, H. C., Ziajahromi, S., Neale, P. A., and Leusch, F. D. L.: A systematic review of freshwater microplastics in water and sediments: Recommendations for harmonisation to enhance future study comparisons, Sci. Total Environ., 781, 146693, 10.1016/j.scitotenv.2021.146693, 2021. · DOI
  32. Lusher, A. L., Munno, K., Hermabessiere, L., and Carr, S.: Isolation and Extraction of Microplastics from Environmental Samples: An Evaluation of Practical Approaches and Recommendations for Further Harmonization, Appl. Spectrosc., 74, 1049–1065, 10.1177/0003702820938993, 2020. · DOI · Paper page
  33. Morgado, V., Palma, C., and Bettencourt da Silva, R. J. N.: Bottom-Up Evaluation of the Uncertainty of the Quantification of Microplastics Contamination in Sediment Samples, Environ. Sci. Technol., 10.1021/acs.est.2c01828, 2022. · DOI
  34. Mutshekwa, T., Mulaudzi, F., Maiyana, V. P., Mofu, L., Munyai, L. F., and Murungweni, F. M.: Atmospheric deposition of microplastics in urban, rural, forest environments: A case study of Thulamela Local Municipality, PLOS ONE, 20, e0313840, 10.1371/journal.pone.0313840, 2025. · DOI
  35. Obbard, R. W.: Microplastics in Polar Regions: The role of long range transport, Micro Nanoplastics Ed. Dr Teresa AP Rocha-St., 1, 24–29, 10.1016/j.coesh.2017.10.004, 2018. · DOI
  36. Peñalver, R., Costa-Gómez, I., Arroyo-Manzanares, N., Moreno, J. M., López-García, I., Moreno-Grau, S., and Córdoba, M. H.: Assessing the level of airborne polystyrene microplastics using thermogravimetry-mass spectrometry: Results for an agricultural area, Sci. Total Environ., 787, 147656, 10.1016/j.scitotenv.2021.147656, 2021. · DOI
  37. Philipp, M., Bucheli, T. D., and Kaegi, R.: The use of surrogate standards as a QA/QC tool for routine analysis of microplastics in sewage sludge, Sci. Total Environ., 835, 155485, 10.1016/j.scitotenv.2022.155485, 2022. · DOI
  38. Rindelaub, J. D., Salmond, J. A., Fan, W., Miskelly, G. M., Dirks, K. N., Henning, S., Conrath, T., Stratmann, F., and Coulson, G.: Aerosol mass concentrations and dry/wet deposition of atmospheric microplastics at a remote coastal location in New Zealand, Environ. Pollut., 372, 126034, 10.1016/j.envpol.2025.126034, 2025. · DOI · Paper page
  39. Rochman, C. M., Regan, F., and Thompson, R. C.: On the harmonization of methods for measuring the occurrence, fate and effects of microplastics, Anal. Methods, 9, 1324–1325, 10.1039/C7AY90014G, 2017. · DOI
  40. Rouillon, C., Bussiere, P.-O., Desnoux, E., Collin, S., Vial, C., Therias, S., and Gardette, J.-L.: Is carbonyl index a quantitative probe to monitor polypropylene photodegradation?, Polym. Degrad. Stab., 128, 200–208, 10.1016/j.polymdegradstab.2015.12.011, 2016. · DOI
  41. Schwaferts, C., Schwaferts, P., Von Der Esch, E., Elsner, M., and Ivleva, N. P.: Which particles to select, and if yes, how many?: Subsampling methods for Raman microspectroscopic analysis of very small microplastic, Anal. Bioanal. Chem., 413, 3625–3641, 10.1007/s00216-021-03326-3, 2021. · DOI
  42. She, J., Buhhalko, N., Lind, K., Mishra, A., Kikas, V., Costa, E., Gambardella, C., Montarsolo, A., Faimali, M., Garaventa, F., and Lips, I.: Uncertainty and Consistency Assessment in Multiple Microplastic Observation Datasets in the Baltic Sea, Front. Mar. Sci., 9, 886357, 10.3389/fmars.2022.886357, 2022. · DOI
  43. Simon, M., Van Alst, N., and Vollertsen, J.: Quantification of microplastic mass and removal rates at wastewater treatment plants applying Focal Plane Array (FPA)-based Fourier Transform Infrared (FT-IR) imaging, Water Res., 142, 1–9, 10.1016/j.watres.2018.05.019, 2018. · DOI
  44. Sun, J., Peng, Z., Zhu, Z.-R., Fu, W., Dai, X., and Ni, B.-J.: The atmospheric microplastics deposition contributes to microplastic pollution in urban waters, Water Res., 225, 119116, 10.1016/j.watres.2022.119116, 2022. · DOI · Paper page
  45. Szewc, K., Graca, B., and Dołęga, A.: Atmospheric deposition of microplastics in the coastal zone: Characteristics and relationship with meteorological factors, Sci. Total Environ., 761, 143272, 10.1016/j.scitotenv.2020.143272, 2021. · DOI
  46. Wang, X., Wei, N., Liu, K., Zhu, L., Li, C., Zong, C., and Li, D.: Exponential decrease of airborne microplastics: From megacity to open ocean, Sci. Total Environ., 849, 157702, 10.1016/j.scitotenv.2022.157702, 2022a. · DOI
  47. Wang, Z., Zhang, Y., Kang, S., Yang, L., Luo, X., Chen, P., Guo, J., Hu, Z., Yang, C., Yang, Z., and Gao, T.: Long-range transport of atmospheric microplastics deposited onto glacier in southeast Tibetan Plateau, Environ. Pollut., 306, 119415, 10.1016/j.envpol.2022.119415, 2022b. · DOI
  48. Wu, C. H., Dang, T. T. M., Mutuku, J. K., Lin, L. M., Huang, B. W., and Chang-Chien, G.-P.: Evaluation of PM2.5 bound microplastics and plastic additives in several cities in Taiwan: Spatial distribution and human health risk, Sci. Total Environ., 959, 178213, 10.1016/j.scitotenv.2024.178213, 2025. · DOI
  49. Yan, Y., Yu, Y., Sima, J., Geng, C., and Yang, J.: Aging behavior of microplastics accelerated by mechanical fragmentation: alteration of intrinsic and extrinsic properties, Environ. Sci. Pollut. Res., 30, 90993–91006, 10.1007/s11356-023-28736-x, 2023. · DOI
  50. Yang, Z., Nagashima, H., and Arakawa, H.: Development of automated microplastic identification workflow for Raman micro-imaging and evaluation of the uncertainties during micro-imaging, Mar. Pollut. Bull., 193, 115200, 10.1016/j.marpolbul.2023.115200, 2023. · DOI

Metadata

Authors
Ashta, N. M., Crosset-Perrotin, G., Moraz, A., Stoffel, J., Schilt, U., Ceglie, E., Schoenenberger, D., Philipp, M., Bucheli, T. D., Kaegi, R., & Hueglin, C.
Venue
Atmospheric Measurement Techniques
Publisher
Copernicus GmbH
Published
2026-01-19
Volume
19
Issue
2
Pages
371-388
ISSN
1867-8548
DOI
10.5194/amt-19-371-2026
Cited by
11
References
4
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
Bundesamt für Umwelt (20.0093.PJ/FB1288506)

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Ashta, N. M., Crosset-Perrotin, G., Moraz, A., Stoffel, J., Schilt, U., Ceglie, E., Schoenenberger, D., Philipp, M., Bucheli, T. D., Kaegi, R., & Hueglin, C. (2026). Atmospheric deposition of microplastics: a sampling and analytical method including the associated measurement uncertainties. Atmospheric Measurement Techniques. https://doi.org/10.5194/amt-19-371-2026

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