Development of Mathematical Function Control-Based 3D Printed Tablets and Effect on Drug Release

被引:3
|
作者
Wang, Honghe [1 ]
Karnik, Indrajeet [1 ]
Uttreja, Prateek [1 ]
Zhang, Peilun [1 ]
Vemula, Sateesh Kumar [1 ]
Repka, Michael A. [1 ,2 ]
机构
[1] Univ Mississippi, Sch Pharm, Dept Pharmaceut & Drug Delivery, University, MS 38677 USA
[2] Univ Mississippi, Pii Ctr Pharmaceut Technol, University, MS 38677 USA
基金
美国国家卫生研究院;
关键词
fused deposition modeling; hot-melt extrusion; prediction modeling; surface equations; three-dimensional printing; SURFACE;
D O I
10.1007/s11095-024-03780-5
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
PurposeThe application of 3D printing technology in drug delivery is often limited by the challenges of achieving precise control over drug release profiles. The goal of this study was to apply surface equations to construct 3D printed tablet models, adjust the functional parameters to obtain multiple tablet models and to correlate the model parameters with the in vitro drug release behavior.MethodsThis study reports the development of 3D-printed tablets using surface geometries controlled by mathematical functions to modulate drug release. Utilizing fused deposition modeling (FDM) coupled with hot-melt extrusion (HME) technology, personalized drug delivery systems were produced using thermoplastic polymers. Different tablet shapes (T1-T5) were produced by varying the depth of the parabolic surface (b = 4, 2, 0, -2, -4 mm) to assess the impact of surface curvature on drug dissolution.ResultsThe T5 formulation, with the greatest surface curvature, demonstrated the fastest drug release, achieving complete release within 4 h. In contrast, T1 and T2 tablets exhibited a slower release over approximately 6 h. The correlation between surface area and drug release rate was confirmed, supporting the predictions of the Noyes-Whitney equation. Differential Scanning Calorimetry (DSC) and Scanning Electron Microscope (SEM) analyses verified the uniform dispersion of acetaminophen and the consistency of the internal structures, respectively.ConclusionsThe precise control of tablet surface geometry effectively tailored drug release profiles, enhancing patient compliance and treatment efficacy. This novel approach offers significant advancements in personalized medicine by providing a highly reproducible and adaptable platform for optimizing drug delivery.
引用
收藏
页码:2235 / 2246
页数:12
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