The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Olefin/Paraffin Separations by Reactive Absorption: A Review
Abstract
Light olefins and paraffins are commonly separated by cryogenic distillation. A process based upon reversible chemical complexation, which employs a mass-separating agent rather than an energy-separating agent, presents an attractive alternative to distillation. Use of such a facilitated-transport-assisted process could substantially reduce the capital costs and energy requirements of olefin/paraffin separations. Copper(I) and silver(I) have long been known to form electron donor/acceptor complexes with olefins. Several chemical systems using these transition metals as the selective separating agent have been studied. A review of copper- and silver-based complexing solutions for olefin/paraffin separations via gas/liquid contacting is presented.
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
Olefin/paraffin separation technology: a review
Eldridge, R. B. (1993) · Industrial & Engineering Chemistry Research · doi:10.1021/ie00022a002 · Cited by 746
Self-citation
Cited by
Metal–Organic Frameworks for Separations
Li, J.-R., Sculley, J., & Zhou, H.-C. (2012) · Chemical Reviews · doi:10.1021/cr200190s · Cited by 6,323
Metal–Organic Frameworks for Separation
Zhao, X., Wang, Y., Li, D., Bu, X., & Feng, P. (2018) · Advanced Materials · doi:10.1002/adma.201705189 · Cited by 1,305
Control of zeolite framework flexibility and pore topology for separation of ethane and ethylene
Bereciartua, P. J., Cantín, Á., Corma, A., Jordá, J. L., Palomino, M., Rey, F., Valencia, S., Corcoran, E. W., Kortunov, P., Ravikovitch, P. I., et al. (2017) · Science · doi:10.1126/science.aao0092 · Cited by 460
Li, B., Zhang, Y., Krishna, R., Yao, K., Han, Y., Wu, Z., Ma, D., Shi, Z., Pham, T., Space, B., et al. (2014) · Journal of the American Chemical Society · doi:10.1021/ja502119z · Cited by 455
Wang, Y., Peh, S. B., & Zhao, D. (2019) · Small · doi:10.1002/smll.201900058 · Cited by 342
Metadata
- Authors
- Safarik, D. J., & Eldridge, R. B.
- Venue
- Industrial & Engineering Chemistry Research
- Publisher
- American Chemical Society (ACS)
- Published
- 1998-06-02
- Volume
- 37
- Issue
- 7
- Pages
- 2571-2581
- ISSN
- 0888-5885 (ISSN-L)
- 1520-5045
- OpenAlex
- W2080507319
- Cited by
- 352
- References
- 1
- FWCI
- 16.26
- 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
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.
