Evidence map›Paper›PMID 31085651›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Climate change mitigation potential of carbon capture and utilization in the chemical industry.

Arne Kätelhön, Raoul Meys, Sarah Deutz, Sangwon Suh, André Bardow

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

77 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. The Chemistry of COChemical reviews · 2026
    Review
  5. China's petrochemical plants' COScience advances · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Freezing enhances COProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Mixotrophy for carbon-conserving waste upcycling.PLoS computational biology · 2025
    Article
  15. Sustainable Bifunctional Electrospun Hybrid Nanofibers for COMacromolecular rapid communications · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Arne KätelhönInstitute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany.
Raoul MeysInstitute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany.
Sarah DeutzInstitute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany.
Sangwon SuhBren School of Environmental Science and Management, University of California, Santa Barbara, CA 93117.ORCID 0000-0001-8290-6276
André BardowInstitute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany; andre.bardow@ltt.rwth-aachen.de.ORCID 0000-0002-3831-0691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical production is set to become the single largest driver of global oil consumption by 2030. To reduce oil consumption and resulting greenhouse gas (GHG) emissions, carbon dioxide can be captured from stacks or air and utilized as alternative carbon source for chemicals. Here, we show that carbon capture and utilization (CCU) has the technical potential to decouple chemical production from fossil resources, reducing annual GHG emissions by up to 3.5 Gt CO

Indexed as

carbon capture and utilizationchemicalscircular economyclimate changerenewable energy

Identifiers

PMID31085651
PMCPMC6561304

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.