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Attiguppe AP, Chatterjee D, DasGupta A. A Novel Integrated Transdermal Drug Delivery System with Micropump and Microneedle Made from Polymers. MICROMACHINES 2022; 14:71. [PMID: 36677132 PMCID: PMC9861243 DOI: 10.3390/mi14010071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/28/2022] [Accepted: 12/15/2022] [Indexed: 06/17/2023]
Abstract
Transdermal drug delivery (TDD), which enables targeted delivery with microdosing possibilities, has seen much progress in the past few years. This allows medical professionals to create bespoke treatment regimens and improve drug adherence through real-time monitoring. TDD also increases the effectiveness of the drugs in much smaller quantities. The use of polymers in the drug delivery field is on the rise owing to their low cost, scalability and ease of manufacture along with drug and bio-compatibility. In this work, we present the design, development and characterization of a polymer-based TDD platform fabricated using additive manufacturing technologies. The system consists of a polymer based micropump integrated with a drug reservoir fabricated by 3D printing and a polymer hollow microneedle array fabricated using photolithography. To the best of our knowledge, we present the fabrication and characterization of a 3D-printed piezoelectrically actuated non-planar valveless micropump and reservoir integrated with a polymer hollow microneedle array for the first time. The integrated system is capable of delivering water at a maximum flow rate of 1.03 mL/min and shows a maximum backpressure of 1.37 kPa while consuming only 400 mW. The system has the least number of moving parts. It can be easily fabricated using additive manufacturing technologies, and it is found to be suitable for drug delivery applications.
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Affiliation(s)
- Ajay Prabhakar Attiguppe
- Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600036, India
- Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600036, India
| | - Dhiman Chatterjee
- Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai 600036, India
| | - Amitava DasGupta
- Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600036, India
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Chang Y, Bao M, Waitkus J, Cai H, Du K. On-Demand Fully Enclosed Superhydrophobic-Optofluidic Devices Enabled by Microstereolithography. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2022; 38:10672-10678. [PMID: 35984448 PMCID: PMC9897971 DOI: 10.1021/acs.langmuir.2c01658] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Superhydrophobic surface-based optofluidics have been introduced to biosensors and unconventional optics with unique advantages, such as low light loss and power consumption. However, most of these platforms were made with planar-like microstructures and nanostructures, which may cause bonding issues and result in significant waveguide loss. Here, we introduce a fully enclosed superhydrophobic-based optofluidics system, enabled by a one-step microstereolithography procedure. Various microstructured cladding designs with a feature size down to 100 μm were studied and a "T-type" overhang design exhibits the lowest optical loss, regardless of the excitation wavelength. Surprisingly, the optical loss of superhydrophobic-based optofluidics is not solely decided by the solid area fraction at the solid/water/air interface, but also the cross-section shape and the effective cladding layer composition. We show that this fully enclosed optofluidic system can be used for CRISPR-labeled quantum dot quantification, intended for in vitro and in vivo CRISPR therapeutics.
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Affiliation(s)
- Yu Chang
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
| | - Mengdi Bao
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
| | - Jacob Waitkus
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
| | - Haogang Cai
- Tech4Health Institute and Department of Radiology, NYU Langone Health, New York, New York 10016, United States
| | - Ke Du
- Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
- Department of Microsystems Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States
- School of Chemistry and Materials Science, Rochester Institute of Technology, Rochester, New York 14623, United States
- College of Health Science and Technology, Rochester Institute of Technology, Rochester, New York 14623, United States
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Avila R, Wu Y, Garziera R, Rogers JA, Huang Y. Analytical Modeling of Flowrate and Its Maxima in Electrochemical Bioelectronics with Drug Delivery Capabilities. RESEARCH (WASHINGTON, D.C.) 2022; 2022:9805932. [PMID: 35316891 PMCID: PMC8917966 DOI: 10.34133/2022/9805932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/16/2022] [Indexed: 11/06/2022]
Abstract
Flowrate control in flexible bioelectronics with targeted drug delivery capabilities is essential to ensure timely and safe delivery. For neuroscience and pharmacogenetics studies in small animals, these flexible bioelectronic systems can be tailored to deliver small drug volumes on a controlled fashion without damaging surrounding tissues from stresses induced by excessively high flowrates. The drug delivery process is realized by an electrochemical reaction that pressurizes the internal bioelectronic chambers to deform a flexible polymer membrane that pumps the drug through a network of microchannels implanted in the small animal. The flowrate temporal profile and global maximum are governed and can be modeled by the ideal gas law. Here, we obtain an analytical solution that groups the relevant mechanical, fluidic, environmental, and electrochemical terms involved in the drug delivery process into a set of three nondimensional parameters. The unique combinations of these three nondimensional parameters (related to the initial pressure, initial gas volume, and microfluidic resistance) can be used to model the flowrate and scale up the flexible bioelectronic design for experiments in medium and large animal models. The analytical solution is divided into (1) a fast variable that controls the maximum flowrate and (2) a slow variable that models the temporal profile. Together, the two variables detail the complete drug delivery process and control using the three nondimensional parameters. Comparison of the analytical model with alternative numerical models shows excellent agreement and validates the analytic modeling approach. These findings serve as a theoretical framework to design and optimize future flexible bioelectronic systems used in biomedical research, or related medical fields, and analytically control the flowrate and its global maximum for successful drug delivery.
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Affiliation(s)
- Raudel Avila
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Yixin Wu
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.,Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Rinaldo Garziera
- Dipartimento di Ingegneria ed Architettura, Università di Parma, Italy
| | - John A Rogers
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.,Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Chemistry, Northwestern University, Evanston, IL 60208, USA.,Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yonggang Huang
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.,Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.,Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
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