Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 449

The DOI matches its Crossref record.

Solubility of Polymers and Copolymers in Supercritical CO2

Rindfleisch, Frank, DiNoia, Todd P., McHugh, Mark A.·1996·The Journal of Physical Chemistry

Abstract

Cloud-point data to temperatures of 270 °C and 3000 bar are presented for CO 2 with the family of poly(acrylates) including methyl, ethyl, propyl, butyl, ethylhexyl, and octadecyl, with poly(butyl methacrylate), with poly(vinyl acetate), with statistically random copolymers of poly(ethylene- co -methyl acrylate) with 41, 31, and 18 mol % acrylate, with poly(tetrafluoroethylene- co -hexafluoropropylene) and poly(vinylidene- co -hexafluoropropylene) copolymers, each with ∼20 mol % hexafluoropropylene, and with Teflon AF. Over the same range of conditions, CO 2 cannot dissolve polyethylene, poly(acrylic acid), poly(methyl methacrylate), poly(ethyl methacrylate), polystyrene, poly(vinyl fluoride), or poly(vinylidene fluoride). CO 2 is a weak solvent that exhibits the temperature-sensitive characteristics observed with polar solvents. The solubility of a nonpolar hydrocarbon polymer or a copolymer in CO 2 can be increased by at least partially fluorinating the polymer or by incorporating some polar groups into the backbone architecture of the polymer. Because it is such a weak solvent, CO 2 can distinguish differences in polymer architecture even for polymers from the same chemical family, which means that polymer free volume plays a role in determining solubility.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jp9615823

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 449

Metadata

Authors
Rindfleisch, F., DiNoia, T. P., & McHugh, M. A.
Venue
The Journal of Physical Chemistry
Published
1996-01-01
Volume
100
Issue
38
Pages
15581-15587
ISSN
  • 0022-3654 (ISSN-L)
  • 1541-5740
OpenAlex
W2049215076
Cited by
449
References
0
FWCI
12.18
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: Solubility of Polymers and Copolymers in Supercritical CO2. https://app.cochat.ai/papers/10.1021/jp9615823
The paper
Rindfleisch, F., DiNoia, T. P., & McHugh, M. A. (1996). Solubility of Polymers and Copolymers in Supercritical CO2. The Journal of Physical Chemistry. https://doi.org/10.1021/jp9615823

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.