Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 193

The DOI matches its Crossref record.

Development of a New Preparation Method of Liposomes Using Supercritical Carbon Dioxide

Otake, Katsuto, Imura, Tomohiro, Sakai, Hideki, Abe, Masahiko·2001·Langmuir

Abstract

A new method, the supercritical reverse phase evaporation method, for the preparation of liposomes in one step using supercritical carbon dioxide without any organic solvent toxic to the human body has been developed. This method allowed aqueous dispersions of liposomes to be obtained through emulsion formation by introduction of a given amount of water into a homogeneous mixture of supercritical carbon dioxide/ l -α-dipalmitoylphosphatidylcholine/ethanol with sufficient stirring and subsequent pressure reduction. Transmission electron microscopy observations using the freeze-replica method on the obtained vesicles revealed that most of them are large unilamellar liposomes with diameters of 0.1−1.2 μm. The trapping efficiency of the liposomes examined with the d -(+)-glucose indicated more than 5 times higher trapping efficiency for the water-soluble solute than that of multilamellar vesicles prepared by the Bangham method. The trapping efficiency for cholesterol, an oil-soluble substance, of the liposomes was 63%. These results showed that the supercritical reverse phase evaporation method is an excellent technique that permits one-step preparation of large unilamellar liposomes with a high trapping efficiency for both water-soluble and oil-soluble substances.

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/la010122k

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 193

Metadata

Authors
Otake, K., Imura, T., Sakai, H., & Abe, M.
Venue
Langmuir
Published
2001-06-01
Volume
17
Issue
13
Pages
3898-3901
ISSN
  • 0743-7463 (ISSN-L)
  • 1520-5827
OpenAlex
W2003758378
Cited by
193
References
0
FWCI
2.47
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: Development of a New Preparation Method of Liposomes Using Supercritical Carbon Dioxide. https://app.cochat.ai/papers/10.1021/la010122k
The paper
Otake, K., Imura, T., Sakai, H., & Abe, M. (2001). Development of a New Preparation Method of Liposomes Using Supercritical Carbon Dioxide. Langmuir. https://doi.org/10.1021/la010122k

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.