The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Multifunctional Mesoporous Silica Nanoparticles as a Universal Platform for Drug Delivery
Abstract
Nanosized mesoporous silica particles with high colloidal stability attract growing attention as drug delivery systems for targeted cancer treatment and as bioimaging devices. This Perspective describes recent breakthroughs in mesoporous silica nanoparticle design to demonstrate their high potential as multifunctional drug delivery nanocarriers. These types of nanoparticles can feature a well-defined and tunable porosity at the nanometer scale, high loading capacity, and multiple functionality for targeting and entering different types of cells. We focus on the requirements for an efficient stimuli-responsive and thus controllable release of cargo into cancer cells and discuss design principles for smart and autonomous nanocarrier systems. Mesoporous silica nanoparticles are viewed as a promising and flexible platform for numerous biomedical 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
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Multidrug resistance in cancer: role of ATP–dependent transporters
Gottesman, M. M., Fojo, T., & Bates, S. E. (2002) · Nature Reviews Cancer · doi:10.1038/nrc706 · Cited by 5,536
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558
Mesoporous silica nanoparticles for drug delivery and biosensing applications
Slowing, I. I., Trewyn, B. G., Giri, S., & Lin, V. S. ‐. (2007) · Advanced Functional Materials · doi:10.1002/adfm.200601191 · Cited by 1,699
Endosomal escape pathways for delivery of biologicals
Varkouhi, A. K., Scholte, M., Storm, G., & Haisma, H. J. (2011) · Journal of Controlled Release · doi:10.1016/j.jconrel.2010.11.004 · Cited by 1,561
The proton sponge: a trick to enter cells the viruses did not exploit
Behr, J.-P. (1997) · CHIMIA · doi:10.2533/chimia.1997.34 · Cited by 933
Cited by
Mesoporous Silica Nanoparticles for Drug Delivery
Manzano, M., & Vallet‐Regí, M. (2020) · Advanced Functional Materials · doi:10.1002/adfm.201902634 · Cited by 939
Croissant, J. G., Fatieiev, Y., Almalik, A., & Khashab, N. M. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700831 · Cited by 594
Mesoporous Silica Nanoparticles for Drug Delivery: Current Insights
Vallet-Regí, M., Colilla, M., Izquierdo-Barba, I., & Manzano, M. (2017) · Molecules · doi:10.3390/molecules23010047 · Cited by 538
Qu, J., Zhao, X., Ma, P. X., & Guo, B. (2018) · Acta Biomaterialia · doi:10.1016/j.actbio.2018.03.018 · Cited by 468
Gao, H., Wang, J., Chen, X., Wang, G., Huang, X., Li, A., & Dong, W. (2018) · Nano Energy · doi:10.1016/j.nanoen.2018.09.007 · Cited by 391
Metadata
- Authors
- Argyo, C., Weiss, V., Bräuchle, C., & Bein, T.
- Venue
- Chemistry of Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-11-08
- Volume
- 26
- Issue
- 1
- Pages
- 435-451
- ISSN
- 0897-4756 (ISSN-L)
- 1520-5002
- OpenAlex
- W2333220160
- Cited by
- 903
- References
- 6
- FWCI
- 29.71
- 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.
