1
|
Liu H, Zhou X, Nail A, Yu H, Yu Z, Sun Y, Wang K, Bao N, Meng D, Zhu L, Li H. Multi-material 3D printed eutectogel microneedle patches integrated with fast customization and tunable drug delivery. J Control Release 2024; 368:115-130. [PMID: 38367865 DOI: 10.1016/j.jconrel.2024.02.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/21/2024] [Accepted: 02/14/2024] [Indexed: 02/19/2024]
Abstract
Microneedle patches are emerging multifunctional platforms for transdermal diagnostics and drug delivery. However, it still remains challenging to develop smart microneedles integrated with customization, sensing, detection and drug delivery by 3D printing strategy. Here, we present an innovative but facile strategy to rationally design and fabricate multifunctional eutectogel microneedle (EMN) patches via multi-material 3D printing. Polymerizable deep eutectic solvents (PDES) were selected as printing inks for rapid one-step fabrication of 3D printing functional EMN patches due to fast photopolymerization rate and ultrahigh drug solubility. Moreover, stretchable EMN patches incorporating rigid needles and flexible backing layers were easily realized by changing PDES compositions of multi-material 3D printing. Meanwhile, we developed multifunctional smart multi-material EMN patches capable of performing wireless monitoring of body movements, painless colorimetric glucose detection, and controlled transdermal drug delivery. Thus, such multi-material EMN system could provide an effective platform for the painless diagnosis, detection, and therapy of a variety of diseases.
Collapse
Affiliation(s)
- Huan Liu
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Xinmeng Zhou
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Aminov Nail
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Hao Yu
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Zilian Yu
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Yue Sun
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Kun Wang
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Nanbin Bao
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Decheng Meng
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Liran Zhu
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Huanjun Li
- Key Laboratory of Cluster Science of Ministry of Education, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering of Ministry of Industry and Information Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
| |
Collapse
|
2
|
Shi L, Xu J, Zhang L, Zuo W, Ni B, Lai M, Fu M. CFD simulation of cannabidiol delivery through microneedle patches. Comput Methods Biomech Biomed Engin 2024:1-13. [PMID: 38461448 DOI: 10.1080/10255842.2024.2324881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/24/2024] [Indexed: 03/12/2024]
Abstract
This study investigates the efficiency and influence of microneedle parameters, specifically Needle Point Angle (a) and Needle Height (h), on the diffusion of Cannabidiol (CBD) across varying skin depths. Utilizing the Latin Hypercube Sampling method, twelve distinct cases were analyzed. Observations reveal a consistent high concentration of CBD delivered via the microneedle patch, with a notable decrease in concentration as the depth increases, displaying a non-linear trend. Multivariate polynomial regression offers a quantitative relationship between the variables, with the third-order bivariate fitting providing the most accurate representation. Compared to other CBD delivery mechanisms, microneedle patches present enhanced CBD concentrations, circumventing challenges faced by other methods such as dosage inaccuracy, systemic absorption issues, and CBD degradation. The results highlight the potential of microneedle patches as a promising avenue for optimized transdermal drug delivery.
Collapse
Affiliation(s)
- Liqun Shi
- Research Center of Zhejiang Dingtai Pharmaceutical Co., Ltd., Tongxiang, China
| | - Jianfeng Xu
- Research Center of Zhejiang Dingtai Pharmaceutical Co., Ltd., Tongxiang, China
| | - Lihua Zhang
- Research Center of Zhejiang Dingtai Pharmaceutical Co., Ltd., Tongxiang, China
| | - Weiping Zuo
- Research Center of Zhejiang Dingtai Pharmaceutical Co., Ltd., Tongxiang, China
| | - Binbin Ni
- Research Center of Zhejiang Dingtai Pharmaceutical Co., Ltd., Tongxiang, China
| | - Mingqiang Lai
- Research Center of Zhejiang Dingtai Pharmaceutical Co., Ltd., Tongxiang, China
| | - Maoqi Fu
- College of Pharmacy, Fujian Medical University, Fuzhou, China
| |
Collapse
|
3
|
Wang X, Wang Z, Xiao M, Li Z, Zhu Z. Advances in biomedical systems based on microneedles: design, fabrication, and application. Biomater Sci 2024; 12:530-563. [PMID: 37971423 DOI: 10.1039/d3bm01551c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Wearable devices have become prevalent in biomedical studies due to their convenient portability and potential utility in biomarker monitoring for healthcare. Accessing interstitial fluid (ISF) across the skin barrier, microneedle (MN) is a promising minimally invasive wearable technology for transdermal sensing and drug delivery. MN has the potential to overcome the limitations of conventional transdermal drug administration, making it another prospective mode of drug delivery after oral and injectable. Subsequently, combining MN with multiple sensing approaches has led to its extensive application to detect biomarkers in ISF. In this context, employing MN platforms and control schemes to merge diagnostic and therapeutic capabilities into theranostic systems will facilitate on-demand therapy and point-of-care diagnostics, paving the way for future MN technologies. A comprehensive analysis of the growing advances of microneedles in biomedical systems is presented in this review to summarize the latest studies for academics in the field and to offer for reference the issues that need to be addressed in MN application for healthcare. Covering an array of novel studies, we discuss the following main topics: classification of microneedles in the biomedical field, considerations of MN design, current applications of microneedles in diagnosis and therapy, and the regulatory landscape and prospects of microneedles for biomedical applications. This review sheds light on the significance of microneedle-based innovations, presenting an analysis of their potential implications and contributions to the community of wearable healthcare technologies. The review provides a comprehensive understanding of the field's current state and potential, making it a valuable resource for academics and clinicians seeking to harness the full potential of MN applications.
Collapse
Affiliation(s)
- Xinghao Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China.
| | - Zifeng Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China.
| | - Min Xiao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China.
| | - Zhanhong Li
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China.
| | - Zhigang Zhu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China.
| |
Collapse
|
4
|
Xu S, Liu W, Peng M, Ma D, Liu Z, Tang L, Li X, Chen S. Biodegradable Microneedles Array with Dual-Release Behavior and Parameter Optimization by Finite Element Analysis. J Pharm Sci 2023; 112:2506-2515. [PMID: 37072050 DOI: 10.1016/j.xphs.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 04/10/2023] [Accepted: 04/11/2023] [Indexed: 04/20/2023]
Abstract
Microneedles (MNs) are particularly attractive for transdermal administration because of the improved safety, patient compliance and convenience. Dissolving MNs could provide rapid transdermal delivery, but with relatively low mechanical strength and almost no sustainability. On the other hand, hydrogel MNs are complicated to fabricate and have risk concerns. Herein, we developed a biodegradable MNs array composed of biocompatible silk fibroin and poly(vinyl alcohol) to overcome these limitations. Finite element analysis was employed for parameter optimization. The MNs array fabricated by the optimal parameters and material displayed sufficient mechanical strength to disrupt stratum corneum and formed microchannels for transdermal delivery. Dual-release profile was observed in the MNs array, with rapid release in the beginning, and prolonged release afterward. This release behavior fits Weibull release model and is favorable for topical application. The initial immediate release can quickly deliver active compounds to reach the therapeutic effective concentration and facilitate skin penetration, and the sustained release may supply the skin with active compounds over a prolonged period. This biodegradable MNs array is easy to fabricate, mechanically robust, could eliminate safety concerns, and provide the sustainability and advantage for large-scale production.
Collapse
Affiliation(s)
- Shuai Xu
- Research Institute for Biomaterials, Tech Institute for Advanced Materials, College of Materials Science and Engineering, Suqian Advanced Materials Industry Technology Innovation Center, NJTech-BARTY Joint Research Center for Innovative Medical Technology, Nanjing Tech University, Nanjing, China
| | - Wenyuan Liu
- Research Institute for Biomaterials, Tech Institute for Advanced Materials, College of Materials Science and Engineering, Suqian Advanced Materials Industry Technology Innovation Center, NJTech-BARTY Joint Research Center for Innovative Medical Technology, Nanjing Tech University, Nanjing, China
| | - Mingwei Peng
- Research Institute for Biomaterials, Tech Institute for Advanced Materials, College of Materials Science and Engineering, Suqian Advanced Materials Industry Technology Innovation Center, NJTech-BARTY Joint Research Center for Innovative Medical Technology, Nanjing Tech University, Nanjing, China
| | - Dewei Ma
- Research Institute for Biomaterials, Tech Institute for Advanced Materials, College of Materials Science and Engineering, Suqian Advanced Materials Industry Technology Innovation Center, NJTech-BARTY Joint Research Center for Innovative Medical Technology, Nanjing Tech University, Nanjing, China
| | - Zhixiang Liu
- State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Lingfeng Tang
- State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Xiaoniu Li
- State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Siyuan Chen
- Research Institute for Biomaterials, Tech Institute for Advanced Materials, College of Materials Science and Engineering, Suqian Advanced Materials Industry Technology Innovation Center, NJTech-BARTY Joint Research Center for Innovative Medical Technology, Nanjing Tech University, Nanjing, China.
| |
Collapse
|
5
|
Ghanbariamin D, Samandari M, Ghelich P, Shahbazmohamadi S, Schmidt TA, Chen Y, Tamayol A. Cleanroom-Free Fabrication of Microneedles for Multimodal Drug Delivery. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2207131. [PMID: 37026428 DOI: 10.1002/smll.202207131] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/26/2022] [Indexed: 06/19/2023]
Abstract
Microneedles have recently emerged as a powerful tool for minimally invasive drug delivery and body fluid sampling. To date, high-resolution fabrication of microneedle arrays (MNAs) is mostly achieved by the utilization of sophisticated facilities and expertise. Particularly, hollow microneedles have usually been manufactured in cleanrooms out of silicon, resin, or metallic materials. Such strategies do not support the fabrication of microneedles from biocompatible/biodegradable materials and limit the capability of multimodal drug delivery for the controlled release of different therapeutics through a combination of injection and sustained diffusion. This study implements low-cost 3D printers to fabricate relatively large needle arrays, followed by repeatable shrink-molding of hydrogels to form high-resolution molds for solid and hollow MNAs with controllable sizes. The developed strategy further enables modulating surface topography of MNAs to tailor their surface area and instantaneous wettability for controllable drug delivery and body fluid sampling. Hybrid gelatin methacryloyl (GelMA)/polyethylene glycol diacrylate (PEGDA) MNAs are fabricated using the developed strategy that can easily penetrate the skin and enable multimodal drug delivery. The proposed method holds promise for affordable, controllable, and scalable fabrication of MNAs by researchers and clinicians for controlled spatiotemporal administration of therapeutics and sample collection.
Collapse
Affiliation(s)
- Delaram Ghanbariamin
- Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA
| | - Mohamadmahdi Samandari
- Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA
| | - Pejman Ghelich
- Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA
| | - Sina Shahbazmohamadi
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA
| | - Tannin A Schmidt
- Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA
| | - Yupeng Chen
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA
| | - Ali Tamayol
- Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA
- Department of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA
| |
Collapse
|
6
|
Ahmadpour A, Isgor PK, Ural B, Eren BN, Sarabi MR, Muradoglu M, Tasoglu S. Microneedle arrays integrated with microfluidic systems: Emerging applications and fluid flow modeling. BIOMICROFLUIDICS 2023; 17:021501. [PMID: 37153866 PMCID: PMC10162023 DOI: 10.1063/5.0121578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 02/15/2023] [Indexed: 05/10/2023]
Abstract
Microneedle arrays are patches of needles at micro- and nano-scale, which are competent and versatile technologies that have been merged with microfluidic systems to construct more capable devices for biomedical applications, such as drug delivery, wound healing, biosensing, and sampling body fluids. In this paper, several designs and applications are reviewed. In addition, modeling approaches used in microneedle designs for fluid flow and mass transfer are discussed, and the challenges are highlighted.
Collapse
Affiliation(s)
- Abdollah Ahmadpour
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
| | - Pelin Kubra Isgor
- Department of Biomedical Sciences and Engineering, College of Engineering, Koç University, Türkiye
| | - Berk Ural
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
| | - Busra Nimet Eren
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
| | | | - Metin Muradoglu
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
| | | |
Collapse
|
7
|
Lechuga Y, Kandel G, Miguel JA, Martinez M. Development of an Automated Design Tool for FEM-Based Characterization of Solid and Hollow Microneedles. MICROMACHINES 2023; 14:133. [PMID: 36677194 PMCID: PMC9861112 DOI: 10.3390/mi14010133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 12/23/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
Microneedle design for biomedical applications, such as transdermal drug delivery, vaccination and transdermal biosensing, has lately become a rapidly growing research field. In this sense, finite element analysis has been extendedly used by microneedle designers to determine the most suitable structural parameters for their prototypes, and also to predict their mechanical response and efficiency during the insertion process. Although many proposals include computer-aided tools to build geometrical models for mechanical analysis, there is a lack of software utilities intended to automate the design process encompassing geometrical modeling, simulation setup and postprocessing of results. This work proposes a novel MATLAB-based design tool for microneedle arrays that permits personalized selection of the basic characteristics of a mechanical model. The tool automatically exports the selected options to an ANSYS batch file, including instructions to run a static and a linear buckling analysis. Later, the subsequent simulation results can be retrieved for on-screen display and potential postprocessing. In addition, this work reviews recent proposals (2018-2022) about finite element model characterization of microneedles to establish the minimum set of features that any tool intended for automating a design process should provide.
Collapse
Affiliation(s)
- Yolanda Lechuga
- Group of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain
| | - Gregoire Kandel
- Group of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain
- ENSEIRB-MATMECA, Bordeaux INP, CEDEX, 33402 Talence, France
| | - Jose Angel Miguel
- Group of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain
| | - Mar Martinez
- Group of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain
| |
Collapse
|