The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Quantitative Analysis of Poly(ethylene terephthalate) Microplastics in Soil via Thermogravimetry–Mass Spectrometry
Abstract
Abstract The use of plastic materials in daily life, industry, and agriculture can cause soil pollution with plastic fragments down to the micrometer scale, i.e., microplastics. Quantitative assessment of microplastics in soil has been limited so far. Until now, microplastic analyses in soil require laborious sample cleanup and are mostly restricted to qualitative assessments. In this study, we applied thermogravimetry–mass spectrometry (TGA–MS) to develop a method for the direct quantitative analysis of poly(ethylene terephthalate) (PET) without further sample pretreatment. For this, soil samples containing 1.61 ± 0.15 wt % organic matter were spiked with 0.23–4.59 wt % PET bottle recyclate microplastics. dl-Cysteine was used as the internal standard (IS). Sample mixtures were pyrolyzed with a 5 K min–1 ramp (40–1000 °C), while sample mass loss and MS signal intensity of typical PET pyrolysis products were recorded. We found MS signal intensities linearly responding to microplastic concentrations. The most-promising results were obtained with the IS-corrected PET pyrolysis product vinylbenzene/benzoic acid (m/z = 105, adj. R2 = 0.987). The limits of detection and quantification were 0.07 and 1.72 wt % PET, respectively. Our results suggest that TGA–MS can be an easy and viable complement to existing methods such as pyrolysis or thermogravimetry–thermal desorption assays followed by gas chromatography/mass spectrometry detection or to spectral microscopy techniques.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Plastics in soil: Analytical methods and possible sources
Bläsing, M., & Amelung, W. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.08.086 · Cited by 1,655
Microplastic in Terrestrial Ecosystems and the Soil?
Rillig, M. C. (2012) · Environmental Science & Technology · doi:10.1021/es302011r · Cited by 1,619
Synthetic fibers as an indicator of land application of sludge
Zubris, K. A. V., & Richards, B. K. (2005) · Environmental Pollution · doi:10.1016/j.envpol.2005.04.013 · Cited by 723
The degradation potential of PET bottles in the marine environment: an ATR-FTIR based approach
Ioakeimidis, C., Fotopoulou, K. N., Karapanagioti, H. K., Geraga, M., Zeri, C., Papathanassiou, E., Galgani, F., & Papatheodorou, G. (2016) · Scientific Reports · doi:10.1038/srep23501 · Cited by 405
Cited by
Atmospheric microplastics: A review on current status and perspectives
Zhang, Y., Kang, S., Allen, S., Allen, D., Gao, T., & Sillanpää, M. (2020) · Earth-Science Reviews · doi:10.1016/j.earscirev.2020.103118 · Cited by 1,364
Chemical Analysis of Microplastics and Nanoplastics: Challenges, Advanced Methods, and Perspectives
Ivleva, N. P. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00178 · Cited by 1,172
Finding Microplastics in Soils: A Review of Analytical Methods
Möller, J. N., Löder, M. G. J., & Laforsch, C. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b04618 · Cited by 559
Environmental fate and impacts of microplastics in soil ecosystems: Progress and perspective
Wang, W., Ge, J., Yu, X., & Li, H. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.134841 · Cited by 526
Li, J., Song, Y., & Cai, Y. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2019.113570 · Cited by 490
Metadata
- Authors
- David, J., Steinmetz, Z., Kučerík, J., & Schaumann, G. E.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-06-22
- Volume
- 90
- Issue
- 15
- Pages
- 8793-8799
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2809126968
- Cited by
- 205
- References
- 4
- FWCI
- 5.88
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantitative Analysis of Poly(ethylene terephthalate) Microplastics in Soil via Thermogravimetry–Mass Spectrometry. https://app.cochat.ai/papers/10.1021/acs.analchem.8b00355
- The paper
- David, J., Steinmetz, Z., Kučerík, J., & Schaumann, G. E. (2018). Quantitative Analysis of Poly(ethylene terephthalate) Microplastics in Soil via Thermogravimetry–Mass Spectrometry. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.8b00355
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.