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DOI | 10.1073/pnas.2026405118 |
Modeling programmable drug delivery in bioelectronics with electrochemical actuation | |
Avila R.; Li C.; Xue Y.; Rogers J.A.; Huang Y. | |
发表日期 | 2021 |
ISSN | 00278424 |
卷号 | 118期号:11 |
英文摘要 | Drug delivery systems featuring electrochemical actuation represent an emerging class of biomedical technology with programmable volume/flowrate capabilities for localized delivery. Recent work establishes applications in neuroscience experiments involving small animals in the context of pharmacological response. However, for programmable delivery, the available flowrate control and delivery time models fail to consider key variables of the drug delivery system-microfluidic resistance and membrane stiffness. Here we establish an analytical model that accounts for the missing variables and provides a scalable understanding of each variable influence in the physics of delivery process (i.e., maximum flowrate, delivery time). This analytical model accounts for the key parameters-initial environmental pressure, initial volume, microfluidic resistance, flexible membrane, current, and temperature- to control the delivery and bypasses numerical simulations allowing faster system optimization for different in vivo experiments. We show that the delivery process is controlled by three nondimensional parameters, and the volume/flowrate results from the proposed analytical model agree with the numerical results and experiments. These results have relevance to the many emerging applications of programmable delivery in clinical studies within the neuroscience and broader biomedical communities. © 2021 National Academy of Sciences. All rights reserved. |
英文关键词 | Analytical model; Drug delivery; Electrochemical actuation; Flexible membrane; Mechanics |
语种 | 英语 |
来源期刊 | Proceedings of the National Academy of Sciences of the United States of America
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/180260 |
作者单位 | Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, United States; Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, United States; Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, United States; Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, United States; Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60208, United States; Department of Chemistry, Northwestern University, Evanston, IL 60208, United States; Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States; Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, United States |
推荐引用方式 GB/T 7714 | Avila R.,Li C.,Xue Y.,et al. Modeling programmable drug delivery in bioelectronics with electrochemical actuation[J],2021,118(11). |
APA | Avila R.,Li C.,Xue Y.,Rogers J.A.,&Huang Y..(2021).Modeling programmable drug delivery in bioelectronics with electrochemical actuation.Proceedings of the National Academy of Sciences of the United States of America,118(11). |
MLA | Avila R.,et al."Modeling programmable drug delivery in bioelectronics with electrochemical actuation".Proceedings of the National Academy of Sciences of the United States of America 118.11(2021). |
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