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Poudel I, Mita N, Babu RJ. 3D printed dosage forms, where are we headed? Expert Opin Drug Deliv 2024:1-20. [PMID: 38993098 DOI: 10.1080/17425247.2024.2379943] [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: 02/16/2024] [Accepted: 07/10/2024] [Indexed: 07/13/2024]
Abstract
INTRODUCTION 3D Printing (3DP) is an innovative fabrication technology that has gained enormous popularity through its paradigm shifts in manufacturing in several disciplines, including healthcare. In this past decade, we have witnessed the impact of 3DP in drug product development. Almost 8 years after the first USFDA approval of the 3D printed tablet Levetiracetam (Spritam), the interest in 3DP for drug products is high. However, regulatory agencies have often questioned its large-scale industrial practicability, and 3DP drug approval/guidelines are yet to be streamlined. AREAS COVERED In this review, major technologies involved with the fabrication of drug products are introduced along with the prospects of upcoming technologies, including AI (Artificial Intelligence). We have touched upon regulatory updates and discussed the burning limitations, which require immediate focus, illuminating status, and future perspectives on the near future of 3DP in the pharmaceutical field. EXPERT OPINION 3DP offers significant advantages in rapid prototyping for drug products, which could be beneficial for personalizing patient-based pharmaceutical dispensing. It seems inevitable that the coming decades will be marked by exponential growth in personalization, and 3DP could be a paradigm-shifting asset for pharmaceutical professionals.
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Affiliation(s)
- Ishwor Poudel
- Department of Drug Discovery and Development, Auburn University, Auburn, AL, USA
| | - Nur Mita
- Department of Drug Discovery and Development, Auburn University, Auburn, AL, USA
- Faculty of Pharmacy, Mulawarman University, Samarinda, Kalimantan Timur, Indonesia
| | - R Jayachandra Babu
- Department of Drug Discovery and Development, Auburn University, Auburn, AL, USA
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Pan S, Ding S, Zhou X, Zheng N, Zheng M, Wang J, Yang Q, Yang G. 3D-printed dosage forms for oral administration: a review. Drug Deliv Transl Res 2024; 14:312-328. [PMID: 37620647 DOI: 10.1007/s13346-023-01414-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2023] [Indexed: 08/26/2023]
Abstract
Oral administration is the most commonly used form of treatment due to its advantages, including high patient compliance, convenient administration, and minimal preparation required. However, the traditional preparation process of oral solid preparation has many defects. Although continuous manufacturing line that combined all the unit operations has been developed and preliminarily applied in the pharmaceutical industry, most of the currently used manufacturing processes are still complicated and discontinuous. As a result, these complex production steps will lead to low production efficiency and high quality control risk of the final product. Additionally, the large-scale production mode is inappropriate for the personalized medicines, which commonly is customized with small amount. Several attractive techniques, such as hot-melt extrusion, fluidized bed pelletizing and spray drying, could effectively shorten the process flow, but still, they have inherent limitations that are challenging to address. As a novel manufacturing technique, 3D printing could greatly reduce or eliminate these disadvantages mentioned above, and could realize a desirable continuous production for small-scale personalized manufacturing. In recent years, due to the participation of 3D printing, the development of printed drugs has progressed by leaps and bounds, especially in the design of oral drug dosage forms. This review attempts to summarize the new development of 3D printing technology in oral preparation and also discusses their advantages and disadvantages as well as potential applications.
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Affiliation(s)
- Siying Pan
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Sheng Ding
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Xuhui Zhou
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Ning Zheng
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China
| | - Meng Zheng
- Huiyuan Pharmaceutical Co., Ltd, Huiyuan Medical Health Industrial Park, Heping Town, Changxing County, Huzhou, 313100, China
| | - Juan Wang
- Huiyuan Pharmaceutical Co., Ltd, Huiyuan Medical Health Industrial Park, Heping Town, Changxing County, Huzhou, 313100, China
| | - Qingliang Yang
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
- Huiyuan Pharmaceutical Co., Ltd, Huiyuan Medical Health Industrial Park, Heping Town, Changxing County, Huzhou, 313100, China.
| | - Gensheng Yang
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
- Huiyuan Pharmaceutical Co., Ltd, Huiyuan Medical Health Industrial Park, Heping Town, Changxing County, Huzhou, 313100, China.
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Ong JJ, Castro BM, Gaisford S, Cabalar P, Basit AW, Pérez G, Goyanes A. Accelerating 3D printing of pharmaceutical products using machine learning. Int J Pharm X 2022; 4:100120. [PMID: 35755603 PMCID: PMC9218223 DOI: 10.1016/j.ijpx.2022.100120] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/26/2022] [Accepted: 05/29/2022] [Indexed: 12/11/2022] Open
Abstract
Three-dimensional printing (3DP) has seen growing interest within the healthcare industry for its ability to fabricate personalized medicines and medical devices. However, it may be burdened by the lengthy empirical process of formulation development. Active research in pharmaceutical 3DP has led to a wealth of data that machine learning could utilize to provide predictions of formulation outcomes. A balanced dataset is critical for optimal predictive performance of machine learning (ML) models, but data available from published literature often only include positive results. In this study, in-house and literature-mined data on hot melt extrusion (HME) and fused deposition modeling (FDM) 3DP formulations were combined to give a more balanced dataset of 1594 formulations. The optimized ML models predicted the printability and filament mechanical characteristics with an accuracy of 84%, and predicted HME and FDM processing temperatures with a mean absolute error of 5.5 °C and 8.4 °C, respectively. The performance of these ML models was better than previous iterations with a smaller and a more imbalanced dataset, highlighting the importance of providing a structured and heterogeneous dataset for optimal ML performance. The optimized models were integrated in an updated web-application, M3DISEEN, that provides predictions on filament characteristics, printability, HME and FDM processing temperatures, and drug release profiles (https://m3diseen.com/predictionsFDM/). By simulating the workflow of preparing FDM-printed pharmaceutical products, the web-application expedites the otherwise empirical process of formulation development, facilitating higher pharmaceutical 3DP research throughput.
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Affiliation(s)
- Jun Jie Ong
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK
| | - Brais Muñiz Castro
- IRLab, CITIC Research Center, Department of Computer Science, University of A Coruña, Spain
| | - Simon Gaisford
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.,FabRx Ltd., Henwood House, Henwood, Ashford TN24 8DH, UK
| | - Pedro Cabalar
- IRLab, Department of Computer Science, University of A Coruña, Spain
| | - Abdul W Basit
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.,FabRx Ltd., Henwood House, Henwood, Ashford TN24 8DH, UK
| | - Gilberto Pérez
- IRLab, CITIC Research Center, Department of Computer Science, University of A Coruña, Spain
| | - Alvaro Goyanes
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK.,FabRx Ltd., Henwood House, Henwood, Ashford TN24 8DH, UK.,Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, iMATUS and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782, Spain
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Myung N, Jin S, Cho HJ, Kang HW. User-designed device with programmable release profile for localized treatment. J Control Release 2022; 352:685-699. [PMID: 36328077 DOI: 10.1016/j.jconrel.2022.10.054] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 11/11/2022]
Abstract
Three-dimensional printing enables precise and on-demand manufacture of customizable drug delivery systems to advance healthcare toward the goal of personalized medicine. However, major challenges remain in realizing personalized drug delivery that fits a patient-specific drug dosing schedule using local drug delivery systems. In this study, a user-designed device is developed as implantable therapeutics that can realize personalized drug release kinetics by programming the inner structural design on the microscale. The drug release kinetics required for various treatments, including dose-dense therapy and combination therapy, can be implemented by controlling the dosage and combination of drugs along with the rate, duration, initiation time, and time interval of drug release according to the device layer design. After implantation of the capsular device in mice, the in vitro-in vivo and pharmacokinetic evaluation of the device is performed, and the therapeutic effect of the developed device is achieved through the local release of doxorubicin. The developed user-designed device provides a novel platform for developing next-generation drug delivery systems for personalized and localized therapy.
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Affiliation(s)
- Noehyun Myung
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), 50, UNIST-gil, Eonyang-eup, Ulju-gun, 44919 Ulsan, Republic of Korea
| | - Seokha Jin
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), 50, UNIST-gil, Eonyang-eup, Ulju-gun, 44919 Ulsan, Republic of Korea
| | - Hyung Joon Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), 50, UNIST-gil, Eonyang-eup, Ulju-gun, 44919 Ulsan, Republic of Korea.
| | - Hyun-Wook Kang
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), 50, UNIST-gil, Eonyang-eup, Ulju-gun, 44919 Ulsan, Republic of Korea.
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Kukkonen J, Ervasti T, Laitinen R. Production and characterization of glibenclamide incorporated PLA filaments for 3D printing by fused deposition modeling. J Drug Deliv Sci Technol 2022. [DOI: 10.1016/j.jddst.2022.103843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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