ArticleLab on a chip2020
Modeling iontophoretic drug delivery in a microfluidic device.
Article in Lab on a chip, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 24 citations in OpenAlex.
- Numerical simulation of PDRN iontophoresis: comparison with passive diffusion and key parameter analysis.Drug delivery · 2026Article
- Electricity-Based Locoregional Cancer Therapies and Their Associated Drug Delivery Technologies: From Principles of Action to Clinical Implications.Biomaterials research · 2026Review
- Toolkit for integrating millimeter-sized microfluidic biomedical devices with multiple membranes and electrodes.Microsystems & nanoengineering · 2025Article
- Wearable electrodriven switch actively delivers macromolecular drugs to fundus in non-invasive and controllable manners.Nature communications · 2025Article
- 3D-printed biopolymer-based microneedle for enhanced photodynamic therapy in melanoma treatment.Frontiers in oncology · 2025Review
- Review
- Iontophoresis-Enhanced Buccal Delivery of Cisplatin-Encapsulated Chitosan Nanoparticles for Treating Oral Cancer in a Mouse Model.International journal of nanomedicine · 2024Article
- Recent advances in transdermal drug delivery systems: a review.Biomaterials research · 2021Review
- Microfluidic chips: recent advances, critical strategies in design, applications and future perspectives.Microfluidics and nanofluidics · 2021Review
- Electrotaxis-on-Chip to Quantify Neutrophil Migration Towards Electrochemical Gradients.Frontiers in immunology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Iontophoresis employs low-intensity electrical voltage and continuous constant current to direct a charged drug into a tissue. Iontophoretic drug delivery has recently been used as a novel method for cancer treatment in vivo. There is an urgent need to precisely model the low-intensity electric fields in cell culture systems to optimize iontophoretic drug delivery to tumors. Here, we present an iontophoresis-on-chip (IOC) platform to precisely quantify carboplatin drug delivery and its corresponding anti-cancer efficacy under various voltages and currents. In this study, we use an in vitro heparin-based hydrogel microfluidic device to model the movement of a charged drug across an extracellular matrix (ECM) and in MDA-MB-231 triple-negative breast cancer (TNBC) cells. Transport of the drug through the hydrogel was modeled based on diffusion and electrophoresis of charged drug molecules in the direction of an oppositely charged electrode. The drug concentration in the tumor extracellular matrix was computed using finite element modeling of transient drug transport in the heparin-based hydrogel. The model predictions were then validated using the IOC platform by comparing the predicted concentration of a fluorescent cationic dye (Alexa Fluor 594®) to the actual concentration in the microfluidic device. Alexa Fluor 594® was used because it has a molecular weight close to paclitaxel, the gold standard drug for treating TNBC, and carboplatin. Our results demonstrated that a 50 mV DC electric field and a 3 mA electrical current significantly increased drug delivery and tumor cell death by 48.12% ± 14.33 and 39.13% ± 12.86, respectively (n = 3, p-value <0.05). The IOC platform and mathematical drug delivery model of iontophoresis are promising tools for precise delivery of chemotherapeutic drugs into solid tumors. Further improvements to the IOC platform can be made by adding a layer of epidermal cells to model the skin.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.