The DOI matches its Crossref record; 221 of the 221 references it cites were found in a registry or an index.
Silica nanoparticles: A review of their safety and current strategies to overcome biological barriers
Open accessAbstract
Silica nanoparticles (SNP) have gained tremendous attention in the recent decades. They have been used in many different biomedical fields including diagnosis, biosensing and drug delivery. Medical uses of SNP for anti-cancer, anti-microbial and theranostic applications are especially prominent due to their exceptional performance to deliver many different small molecules and recently biologics (mRNA, siRNA, antigens, antibodies, proteins, and peptides) at targeted sites. The physical and chemical properties of SNP such as large specific surface area, tuneable particle size and porosity, excellent biodegradability and biocompatibility make them an ideal drug delivery and diagnostic platform. Based on the available data and the pre-clinical performance of SNP, recent interest has driven these innovative materials towards clinical application with many of the formulations already in Phase I and Phase II trials. Herein, the progress of SNP in biomedical field is reviewed, and their safety aspects are analysed. Importantly, we critically evaluate the key structural characteristics of SNP to overcome different biological barriers including the blood-brain barrier (BBB), skin, tumour barrier and mucosal barrier. Future directions, potential pathways, and target areas towards rapid clinical translation of SNP are also recommended.
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
1 retracted
An MSN-PEG-IP drug delivery system and IL13Rα2 as targeted therapy for glioma
Shi, J., Hou, S., Huang, J., Wang, S., Wei, H. J., Huang, C., Liu, X., Jiang, R., Qian, W., Lu, J., et al. (2017) · Nanoscale · doi:10.1039/c6nr08786h · Cited by 38
RetractedControlled growth of monodisperse silica spheres in the micron size range
Stöber, W., Fink, A., & Bohn, E. (1968) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(68)90272-5 · Cited by 14,532
Triblock Copolymer Syntheses of Mesoporous Silica with Periodic 50 to 300 Angstrom Pores
Zhao, D., Feng, J., Huo, Q., Melosh, N., Fredrickson, G. H., Chmelka, B. F., & Stucky, G. D. (1998) · Science · doi:10.1126/science.279.5350.548 · Cited by 11,753
A new family of mesoporous molecular sieves prepared with liquid crystal templates
Beck, J. S., Vartuli, J. C., Roth, W. J., Leonowicz, M. E., Kresge, C. T., Schmitt, K. D., Chu, C. T. W., Olson, D. H., Sheppard, E. W., McCullen, S. B., et al. (1992) · Journal of the American Chemical Society · doi:10.1021/ja00053a020 · Cited by 10,967
Analysis of nanoparticle delivery to tumours
Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. W. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.14 · Cited by 5,218
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
A New Property of MCM-41: Drug Delivery System
Vallet-Regi, M., Rámila, A., del Real, R. P., & Pérez-Pariente, J. (2001) · Chemistry of Materials · doi:10.1021/cm0011559 · Cited by 2,182
Salvati, A., Pitek, A. S., Monopoli, M. P., Prapainop, K., Bombelli, F. B., Hristov, D. R., Kelly, P. M., Åberg, C., Mahon, E., & Dawson, K. A. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.237 · Cited by 1,912
Mesoporous silica nanoparticles in biomedical applications
Li, Z., Barnes, J. C., Bosoy, A., Stoddart, J. F., & Zink, J. I. (2012) · Chemical Society Reviews · doi:10.1039/c1cs15246g · Cited by 1,907
Mucus-penetrating nanoparticles for drug and gene delivery to mucosal tissues
Lai, S. K., Wang, Y.-Y., & Hanes, J. (2009) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2008.11.002 · Cited by 1,815
Metadata
- Authors
- Janjua, T. I., Cao, Y., Kleitz, F., Linden, M., Yu, C., & Popat, A.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2023-12
- Volume
- 203
- Pages
- 115115
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W4387643426
- Cited by
- 259
- References
- 221
- FWCI
- 3.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Silica nanoparticles: A review of their safety and current strategies to overcome biological barriers. https://app.cochat.ai/papers/10.1016/j.addr.2023.115115
- The paper
- Janjua, T. I., Cao, Y., Kleitz, F., Linden, M., Yu, C., & Popat, A. (2023). Silica nanoparticles: A review of their safety and current strategies to overcome biological barriers. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2023.115115
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.