The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Magnetic-Sensitive Behavior of Intelligent Ferrogels for Controlled Release of Drug
Abstract
An intelligent magnetic hydrogel (ferrogel) was fabricated by mixing poly(vinyl alcohol) (PVA) hydrogels and Fe3O4 magnetic particles through freezing-thawing cycles. Although the external direct current magnetic field was applied to the ferrogel, the drug was accumulated around the ferrogel, but the accumulated drug was spurt to the environment instantly when the magnetic fields instantly switched "off". Furthermore, rapid to slow drug release can be tunable while the magnetic field was switched from "off" to "on" mode. The drug release behavior from the ferrogel is strongly dominated by the particle size of Fe3O4 under a given magnetic field. The best "magnetic-sensitive effects" are observed for the ferrogels with larger Fe3O4 particles due to its stronger saturation magnetization and smaller coercive force. Furthermore, the amount of drug release can be controlled by fine-tuning of the switching duration time (SDT) through an externally controllable on-off operation in a given magnetic field. It was demonstrated that the highest burst drug amounts and best "close" configuration of the ferrogel were observed for the SDT of 10 and 5 min, respectively. By taking these peculiar magnetic-sensitive characteristics of the novel ferrogels currently synthesized, it is highly expected to have a controllable or programmable drug release profile that can be designed for practical clinical needs.
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
Nanoparticles in cancer therapy and diagnosis
Brigger, I., Dubernet, C., & Couvreur, P. (2002) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(02)00044-3 · Cited by 3,039
Nanoscale Materials in Chemistry
(2001) · Wiley eBooks · doi:10.1002/0471220620 · Cited by 1,397
Biomolecule-sensitive hydrogels
Miyata, T., Uragami, T., & Nakamae, K. (2002) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(01)00241-1 · Cited by 735
Long-circulating iron oxides for MR imaging
Weissleder, R., Bogdanov, A., Neuwelt, E. A., & Papisov, M. (1995) · Advanced Drug Delivery Reviews · doi:10.1016/0169-409x(95)00033-4 · Cited by 398
Deng, Y. H., Yang, W. L., Wang, C. C., & Fu, S. K. (2003) · Advanced Materials · doi:10.1002/adma.200305459 · Cited by 262
Temperature-Sensitive Hybrid Microgels with Magnetic Properties
Pich, A., Bhattacharya, S., Lu, Y. Q., et al. (2004) · Langmuir · doi:10.1021/la040084f · Cited by 144
Kinetics of the shape change of magnetic field sensitive polymer gels
Zrı́nyi, M., Szabó, D., & Kilian, H. (1998) · Polymer Gels and Networks · doi:10.1016/s0966-7822(98)00033-1 · Cited by 87
Cited by
Designing hydrogels for controlled drug delivery
Li, J., & Mooney, D. J. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.71 · Cited by 4,832
Nanocomposite Hydrogels: 3D Polymer–Nanoparticle Synergies for On-Demand Drug Delivery
Merino, S., Martín, C., Kostarelos, K., Prato, M., & Vázquez, E. (2015) · ACS Nano · doi:10.1021/acsnano.5b01433 · Cited by 801
Magnetic Hydrogels and Their Potential Biomedical Applications
Li, Y., Huang, G., Zhang, X., Li, B., Chen, Y., Lu, T., Lu, T. J., & Xu, F. (2013) · Advanced Functional Materials · doi:10.1002/adfm.201201708 · Cited by 721
Remotely Triggerable Drug Delivery Systems
Timko, B. P., Dvir, T., & Kohane, D. S. (2010) · Advanced Materials · doi:10.1002/adma.201002072 · Cited by 614
Oh, J. K., & Park, J. M. (2011) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2010.08.005 · Cited by 427
Hydrogel nanocomposites: a review of applications as remote controlled biomaterials
Satarkar, N. S., Biswal, D., & Hilt, J. Z. (2010) · Soft Matter · doi:10.1039/b925218p · Cited by 323
Macroscale delivery systems for molecular and cellular payloads
Kearney, C. J., & Mooney, D. J. (2013) · Nature Materials · doi:10.1038/nmat3758 · Cited by 301
Tuned, driven, and active soft matter
Menzel, A. M. (2015) · Physics Reports · doi:10.1016/j.physrep.2014.10.001 · Cited by 295
Brazel, C. S. (2009) · Pharmaceutical Research · doi:10.1007/s11095-008-9773-2 · Cited by 264
Kim, J. I., Chun, C., Kim, B., Hong, J. M., Cho, J.-K., Lee, S. H., & Song, S.-C. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2011.09.033 · Cited by 108
Metadata
- Authors
- Liu, T.-Y., Hu, S.-H., Liu, T.-Y., Liu, D.-M., & Chen, S.-Y.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-06-01
- Volume
- 22
- Issue
- 14
- Pages
- 5974-5978
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2001198522
- Cited by
- 335
- References
- 7
- FWCI
- 4.55
- 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.