Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 366

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Liquid–Liquid Phase Separation in Highly Supersaturated Aqueous Solutions of Poorly Water-Soluble Drugs: Implications for Solubility Enhancing Formulations

Ilevbare, Grace A., Taylor, Lynne S.·2013·Crystal Growth & Design

Abstract

Highly supersaturated aqueous drug solutions are often generated during drug testing and upon delivery to the patient. The phase behavior of such solutions appears complex and poorly understood, with the formation of colloidal drug aggregates often being reported. In this study, the phase behavior of eight hydrophobic poorly water-soluble drug molecules in highly supersaturated aqueous solutions was examined, and colloid formation was explained in terms of liquid–liquid phase separation (LLPS). A relationship was found between the concentration at which LLPS was observed and the theoretically predicted amorphous “solubility” value, where the latter was predicted based on the thermodynamic properties of the crystalline solid/supercooled liquid and solution activity coefficients. A phase diagram for the ritonavir–water system as a function of temperature was used to demonstrate that LLPS occurs in the metastable region of the phase diagram, and thus LLPS is a precursor to crystallization. Using an amorphous solid dispersion of ritonavir and poly(vinylpyrrolidone), it was shown that there is an upper limit to the extent of supersaturation achievable by a supersaturating dosage form and that this limit is dictated by the LLPS phase transition concentration. The approaches outlined in this study provide an alternative way to assess the properties of supersaturating systems, including the determination of the amorphous 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/cg301679h

Cites

24 of 24 references verified0 citation errors · 0 not checkable

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

Cites

Metadata

Authors
Ilevbare, G. A., & Taylor, L. S.
Venue
Crystal Growth & Design
Published
2013-03-06
Volume
13
Issue
4
Pages
1497-1509
ISSN
  • 1528-7483 (ISSN-L)
  • 1528-7505
OpenAlex
W2320607110
Cited by
366
References
24
FWCI
7.84
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.