The DOI matches its Crossref record.
Review Article: Recycling of Polystyrene
Abstract
Recycling of polystyrene can be done by mechanical, chemical, and thermal methods. High impact polystyrene is a promising material for mechanical recycling since its properties are not extremely affected even after multiple processing of upto nine cycles. Production of liquid products and gaseous products are highly dependent on the reaction condition. The catalysts used are highly selective for the production of liquid as well as gaseous products. In this article we have reviewed the various types of methods followed so far for recycling of polystyrene.
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
Mechanical Recycling of Packaging Plastics: A Review
Schyns, Z. O. G., & Shaver, M. P. (2021) · Macromolecular Rapid Communications · doi:10.1002/marc.202000415 · Cited by 1,643
Catalytic methods for chemical recycling or upcycling of commercial polymers
Kosloski-Oh, S. C., Wood, Z. A., Manjarrez, Y., de los Rios, J. P., & Fieser, M. E. (2021) · Materials Horizons · doi:10.1039/d0mh01286f · Cited by 369
Solvent-based separation and recycling of waste plastics: A review
Zhao, Y.-B., Lv, X.-D., & Ni, H.-G. (2018) · Chemosphere · doi:10.1016/j.chemosphere.2018.06.095 · Cited by 367
Huang, Z., Shanmugam, M., Liu, Z., Brookfield, A., Bennett, E. L., Guan, R., Vega Herrera, D. E., Lopez-Sanchez, J. A., Slater, A. G., McInnes, E. J. L., et al. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c01410 · Cited by 365
Worch, J. C., & Dove, A. P. (2020) · ACS Macro Letters · doi:10.1021/acsmacrolett.0c00582 · Cited by 308
Metadata
- Authors
- Maharana, T., Negi, Y. S., & Mohanty, B.
- Venue
- Polymer-Plastics Technology and Engineering
- Publisher
- Informa UK Limited
- Published
- 2007-07-10
- Volume
- 46
- Issue
- 7
- Pages
- 729-736
- ISSN
- 0360-2559 (ISSN-L)
- 1525-6111
- OpenAlex
- W1965092794
- Cited by
- 192
- References
- 0
- FWCI
- 0.93
- 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: Review Article: Recycling of Polystyrene. https://app.cochat.ai/papers/10.1080/03602550701273963
- The paper
- Maharana, T., Negi, Y. S., & Mohanty, B. (2007). Review Article: Recycling of Polystyrene. Polymer-Plastics Technology and Engineering. https://doi.org/10.1080/03602550701273963
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.
