The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Fabrication of Supramolecular Hydrogels for Drug Delivery and Stem Cell Encapsulation
Abstract
Supramolecular hydrogels self-assembled by alpha-cyclodextrin and methoxypolyethylene glycol-poly(caprolactone)-(dodecanedioic acid)-poly(caprolactone)-methoxypolyethylene glycol (MPEG-PCL-MPEG) triblock polymers were prepared and characterized in vitro and in vivo. The sustained release of dextran-fluorescein isothiocyanate (FITC) from the hydrogels lasted for more than 1 month, which indicated that the hydrogels were promising for controlled drug delivery. ECV304 cells and marrow mesenchymal stem cells (MSC) were encapsulated and cultured in the hydrogels, during which the morphologies of the cells could be kept. The in vitro cell viability studies and the in vivo histological studies demonstrated that the hydrogels were non-cytotoxic and biocompatible, which indicated that the hydrogels prepared were promising candidates as injectable scaffolds for tissue engineering applications.
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
Introduction and General Overview of Cyclodextrin Chemistry
Szejtli, J. (1998) · Chemical Reviews · doi:10.1021/cr970022c · Cited by 5,016
Photopolymerizable hydrogels for tissue engineering applications
Nguyen, K. T., & West, J. L. (2002) · Biomaterials · doi:10.1016/s0142-9612(02)00175-8 · Cited by 1,669
Cited by
Supramolecular polymeric hydrogels
Appel, E. A., del Barrio, J., Loh, X. J., & Scherman, O. A. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35264h · Cited by 1,159
Cellulose-based hydrogels: Present status and application prospects
Chang, C., & Zhang, L. (2011) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2010.12.023 · Cited by 1,081
In situ-forming injectable hydrogels for regenerative medicine
Yang, J.-A., Yeom, J., Hwang, B. W., Hoffman, A. S., & Hahn, S. K. (2014) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2014.07.006 · Cited by 532
Metadata
- Authors
- Wu, D.-Q., Wang, T., Lu, B., Xu, X.-D., Cheng, S.-X., Jiang, X.-J., Zhang, X.-Z., & Zhuo, R.-X.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-08-05
- Volume
- 24
- Issue
- 18
- Pages
- 10306-10312
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W1970781687
- Cited by
- 158
- References
- 2
- FWCI
- 4.80
- 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.