Cited by 41Carbon Dioxide Capture TechnologiesThermochemical Biomass Conversion ProcessesIndustrial Gas Emission Control

Solving two environmental problems simultaneously:Microporous carbon derived from mixed plastic waste for CO2 capture

Zhou, Xiaoli, Zhu, Liyao, Dong, Weiliang, Jiang, Min·2023·Chemosphere

Abstract

Conversion of plastic waste into porous carbon for CO 2 capture is an attractive approach to solve the carbon emission and plastic pollution problems, simultaneously. However, the previous studies are limited to the utilization of single PET plastic. The conversion of mixed plastic waste (MPW), which is of more practical significance, is seldom reported. In this study, mixed plastic waste was converted into porous carbon materials for CO 2 capture through cascading autogenic pressure carbonization (APC) and chemical activation. The carbon yield of 56% was achieved through APC of MPW. The activator (KOH) dosage had significant effects on the structure and properties of the prepared porous carbons. Porous carbon prepared with KOH/C ratio of 4 had the largest micropore area and the maximum CO 2 adsorption was 2.7 mmol g-1 at 298 K and 1 bar. The experimental data were well fitted to the pesudo first-order kinetic model. The MPW derived porous carbon exhibited not only high CO 2 uptake capacity, but also fast adsorption rate, good selectivity of CO 2 over N 2 and good cyclic stability, which could be regarded as a promising adsorbent for CO 2 adsorption.

Integrity signals

Registry

Crossref · 10.1016/j.chemosphere.2023.140546

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Zhou et al. treated mixed plastic waste via autogenous pressure carbonization, achieving a char yield of 56%.

    “Researchers first treated MPW via autogenous pressure carbonization (APC), achieving a char yield of 56% [107] .”
  • KOH dosage is a key parameter for tuning the structure and performance of porous carbon derived from mixed plastic waste.

    “The study found that the KOH dosage is a key parameter for tuning the material's structure and performance.”

The citation lists haven’t been fetched yet

References 58 · Cited by 41

Authors
Zhou, X., Zhu, L., Dong, W., & Jiang, M.
Affiliations
Nanjing Tech University (CN)
Corresponding author
Dong, Weiliang
Venue
Chemosphere
Publisher
Elsevier BV
Published
2023-12
Volume
345
Pages
140546
ISSN
0045-6535 (ISSN-L)
OpenAlex
W4387996273
Cited by
41
References
58
Citations by year
2026: 13 · 2025: 17 · 2024: 11
FWCI
4.04
Type
journal article
Language
en
Open access
closed
Locations
  • Chemosphere (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Horizon 2020 (870294)
  • National Natural Science Foundation of China (31961133017, 52200158)
  • Jiangsu Province Department of Science and Technology
  • Jiangsu National Synergistic Innovation Center for Advanced Materials (XTB2203)
  • Ministry of Science and Technology of the People's Republic of China
  • National Key Research and Development Program of China (2021YFC2103600)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Carbon Dioxide Capture Technologies
  • Physical Sciences › Engineering › Biomedical Engineering › Thermochemical Biomass Conversion Processes
  • Physical Sciences › Engineering › Mechanical Engineering › Industrial Gas Emission Control
Keywords
mixed plastic waste, CO2 capture, porous carbon, plastic waste valorization, KOH activation, CO2 adsorption, plastic pollution, carbon emission reduction, adsorption kinetics, CO2/N2 selectivity, cycling stability
MeSH terms
Adsorption, Carbon, Carbon Dioxide, Kinetics, Porosity

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