The DOI matches its Crossref record.
Mechanistic Modeling of Polymer Degradation: A Comprehensive Study of Polystyrene
Abstract
The degradation of polystyrene was modeled at the mechanistic level by developing differential equations describing the evolution of the moments of structurally distinct polymer species. This work extends our previous modeling work 1 by incorporating chain-length-dependent rate parameters, tracking branched species more explicitly, using rate parameters primarily from the literature, and comparing the model results to extensive experimental data on the degradation of polymers of different molecular weights and at different temperatures. Unique polymer groups were devised that allowed the necessary polymeric features for capturing the degradation chemistry to be tracked, while maintaining a manageable model size. The conversion among the species was described using typical free radical reaction types, including hydrogen abstraction, midchain β-scission, end-chain β-scission, 1,5-hydrogen transfer, 1,3-hydrogen transfer, radical addition, bond fission, radical recombination, and disproportionation. The model included over 2700 reactions and tracked 64 species. Programs were developed using the programming language Perl to assemble moment equations from input of the polymeric features to be tracked. The intrinsic kinetic parameters (a frequency factor and activation energy for each reaction) were obtained from data in the literature and previous modeling work in our laboratory. 2-4 The model predictions for the evolution of M n and M w and the yields of styrene, dimer, and trimer compare very well with experimental data obtained in our laboratory for the degradation of polystyrene over a large temperature range and with different initial molecular weights. Evolution of low molecular weight products from experiments reported in the literature is also captured.
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
Cited by
Dogu, O., Pelucchi, M., Van de Vijver, R., Van Steenberge, P. H. M., D'hooge, D. R., Cuoci, A., Mehl, M., Frassoldati, A., Faravelli, T., & Van Geem, K. M. (2021) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2020.100901 · Cited by 698
Pyrolysis technology for plastic waste recycling: A state-of-the-art review
Dai, L., Zhou, N., Lv, Y., Cheng, Y., Wang, Y., Liu, Y., Cobb, K., Chen, P., Lei, H., & Ruan, R. (2022) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2022.101021 · Cited by 485
A mechanistic model of fast pyrolysis of glucose-based carbohydrates to predict bio-oil composition
Vinu, R., & Broadbelt, L. J. (2012) · Energy & Environmental Science · doi:10.1039/c2ee22784c · Cited by 364
Self-citationA mechanistic model of fast pyrolysis of hemicellulose
Zhou, X., Li, W., Mabon, R., & Broadbelt, L. J. (2018) · Energy & Environmental Science · doi:10.1039/c7ee03208k · Cited by 240
Self-citationPoutsma, M. L. (2003) · Macromolecules · doi:10.1021/ma0303768 · Cited by 114
Metadata
- Authors
- Kruse, T. M., Woo, O. S., Wong, H.-W., Khan, S. S., & Broadbelt, L. J.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-08-29
- Volume
- 35
- Issue
- 20
- Pages
- 7830-7844
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W1998286642
- Cited by
- 164
- References
- 0
- FWCI
- 2.11
- 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: Mechanistic Modeling of Polymer Degradation: A Comprehensive Study of Polystyrene. https://app.cochat.ai/papers/10.1021/ma020490a
- The paper
- Kruse, T. M., Woo, O. S., Wong, H.-W., Khan, S. S., & Broadbelt, L. J. (2002). Mechanistic Modeling of Polymer Degradation: A Comprehensive Study of Polystyrene. Macromolecules. https://doi.org/10.1021/ma020490a
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.