The DOI matches its Crossref record.
Development of a New Preparation Method of Liposomes Using Supercritical Carbon Dioxide
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.
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
Cited by
New developments in liposomal drug delivery
Pattni, B. S., Chupin, V. V., & Torchilin, V. P. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00046 · Cited by 1,600
Yeh, M.-K., Chang, H.-I., & Cheng, M.-Y. (2011) · International Journal of Nanomedicine · doi:10.2147/ijn.s26766 · Cited by 801
Lombardo, D., & Kiselev, M. A. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14030543 · Cited by 718
Novel methods for liposome preparation
Patil, Y. P., & Jadhav, S. (2014) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2013.10.011 · Cited by 638
Sustainable technologies for liposome preparation
Maja, L., Željko, K., & Mateja, P. (2020) · The Journal of Supercritical Fluids · doi:10.1016/j.supflu.2020.104984 · Cited by 398
A comprehensive review on recent preparation techniques of liposomes
Has, C., & Sunthar, P. (2020) · Journal of Liposome Research · doi:10.1080/08982104.2019.1668010 · Cited by 357
Lipid-based nanovesicles for nanomedicine
Grimaldi, N., Andrade, F., Segovia, N., Ferrer-Tasies, L., Sala, S., Veciana, J., & Ventosa, N. (2016) · Chemical Society Reviews · doi:10.1039/c6cs00409a · Cited by 309
Ajeeshkumar, K. K., Aneesh, P. A., Raju, N., Suseela, M., Ravishankar, C. N., & Benjakul, S. (2021) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12725 · Cited by 283
Carotenoid-loaded nanocarriers: A comprehensive review
Rehman, A., Tong, Q., Jafari, S. M., Assadpour, E., Shehzad, Q., Aadil, R. M., Iqbal, M. W., Rashed, M. M. A., Mushtaq, B. S., & Ashraf, W. (2020) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2019.102048 · Cited by 258
Metadata
- Authors
- Otake, K., Imura, T., Sakai, H., & Abe, M.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- 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
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.