The DOI matches its Crossref record; 208 of the 208 references it cites were found in a registry or an index.
Recent advances of controlled drug delivery using microfluidic platforms
Open accessAbstract
Abstract Conventional systematically‐administered drugs distribute evenly throughout the body, get degraded and excreted rapidly while crossing many biological barriers, leaving minimum amounts of the drugs at pathological sites. Controlled drug delivery aims to deliver drugs to the target sites at desired rates and time, thus enhancing the drug efficacy, pharmacokinetics, and bioavailability while maintaining minimal side effects. Due to a number of unique advantages of the recent microfluidic lab‐on‐a‐chip technology, microfluidic lab‐on‐a‐chip has provided unprecedented opportunities for controlled drug delivery. Drugs can be efficiently delivered to the target sites at desired rates in a well‐controlled manner by microfluidic platforms via integration, implantation, localization, automation, and precise control of various microdevice parameters. These features accordingly make reproducible, on‐demand, and tunable drug delivery become feasible. On‐demand self‐tuning dynamic drug delivery systems have shown great potential for personalized drug delivery. This review presents an overview of recent advances in controlled drug delivery using microfluidic platforms. The review first briefly introduces microfabrication techniques of microfluidic platforms, followed by detailed descriptions of numerous microfluidic drug delivery systems that have significantly advanced the field of controlled drug delivery. Those microfluidic systems can be separated into four major categories, namely drug carrier‐free micro‐reservoir‐based drug delivery systems, highly integrated carrier‐free microfluidic lab‐on‐a‐chip systems, drug carrier‐integrated microfluidic systems, and microneedles. Microneedles can be further categorized into five different types, i.e. solid, porous, hollow, coated, and biodegradable microneedles, for controlled transdermal drug delivery. At the end, we discuss current limitations and future prospects of microfluidic platforms for controlled drug delivery. Graphical abstract This article reviews recent advances of controlled drug delivery using microfluidic platforms which can be implanted in human bodies to control drug release in real time through an on‐demand feedback mechanism. Figure. No Caption available.
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
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558
Prausnitz, M. R., & Langer, R. (2008) · Nature Biotechnology · doi:10.1038/nbt.1504 · Cited by 3,517
Chitosan Chemistry and Pharmaceutical Perspectives
Kumar, M. N. V. R., Muzzarelli, R. A. A., Muzzarelli, C., Sashiwa, H., & Domb, A. J. (2004) · Chemical Reviews · doi:10.1021/cr030441b · Cited by 2,938
Bertrand, N., Wu, J., Xu, X., Kamaly, N., & Farokhzad, O. C. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2013.11.009 · Cited by 2,824
Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size
Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., Terada, Y., Kano, M. R., Miyazono, K., Uesaka, M., et al. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.166 · Cited by 2,429
Rational design of cationic lipids for siRNA delivery
Semple, S. C., Akinc, A., Chen, J., Sandhu, A. P., Mui, B. L., Cho, C. K., Sah, D. W. Y., Stebbing, D., Crosley, E. J., Yaworski, E., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1602 · Cited by 1,822
Microneedles for drug and vaccine delivery
Kim, Y.-C., Park, J.-H., & Prausnitz, M. R. (2012) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.04.005 · Cited by 1,760
Microneedles for transdermal drug delivery
Prausnitz, M. R. (2004) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2003.10.023 · Cited by 1,521
Zuris, J. A., Thompson, D. B., Shu, Y., Guilinger, J. P., Bessen, J. L., Hu, J. H., Maeder, M. L., Joung, J. K., Chen, Z.-Y., & Liu, D. R. (2015) · Nature Biotechnology · doi:10.1038/nbt.3081 · Cited by 1,460
Cited by
Wireless and battery-free technologies for neuroengineering
Won, S. M., Cai, L., Gutruf, P., & Rogers, J. A. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00683-3 · Cited by 360
Microelectromechanical Systems (MEMS) for Biomedical Applications
Chircov, C., & Grumezescu, A. M. (2022) · Micromachines · doi:10.3390/mi13020164 · Cited by 243
Advanced lithography materials: From fundamentals to applications
Zhang, Y., Yu, H., Wang, L., Wu, X., He, J., Huang, W., Ouyang, C., Chen, D., & Keshta, B. E. (2024) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2024.103197 · Cited by 72
Metadata
- Authors
- Sanjay, S. T., Zhou, W., Dou, M., Tavakoli, H., Ma, L., Xu, F., & Li, X.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 128
- Pages
- 3-28
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2756411352
- Cited by
- 365
- References
- 208
- FWCI
- 1.99
- Type
- journal article
- Language
- en
- Open access
- green
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: Recent advances of controlled drug delivery using microfluidic platforms. https://app.cochat.ai/papers/10.1016/j.addr.2017.09.013
- The paper
- Sanjay, S. T., Zhou, W., Dou, M., Tavakoli, H., Ma, L., Xu, F., & Li, X. (2018). Recent advances of controlled drug delivery using microfluidic platforms. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2017.09.013
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.