4.7 Article

Printability of External and Internal Structures Based on Digital Light Processing 3D Printing Technique

Journal

PHARMACEUTICS
Volume 12, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/pharmaceutics12030207

Keywords

digital light processing; external and internal structures; printability; implants; physiological channels

Funding

  1. China Scholarship Council [201808330014]
  2. National Natural Science Foundation of China [81402873]
  3. Natural Science Foundation of Zhejiang Provincial [LY20B060007]

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The high printing efficiency and easy availability of desktop digital light processing (DLP) printers have made DLP 3D printing a promising technique with increasingly broad application prospects, particularly in personalized medicine. The objective of this study was to fabricate and evaluate medical samples with external and internal structures using the DLP technique. The influence of different additives and printing parameters on the printability and functionality of this technique was thoroughly evaluated. It was observed that the printability and mechanical properties of external structures were affected by the poly(ethylene glycol) diacrylate (PEGDA) concentration, plasticizers, layer height, and exposure time. The optimal printing solutions for 3D external and internal structures were 100% PEGDA and 75% PEGDA with 0.25 mg/mL tartrazine, respectively. And the optimal layer height for 3D external and internal structures were 0.02 mm and 0.05 mm, respectively. The optimal sample with external structures had an adequate drug-loading ability, acceptable sustained-release characteristics, and satisfactory biomechanical properties. In contrast, the printability of internal structures was affected by the photoabsorber, PEGDA concentration, layer height, and exposure time. The optimal samples with internal structures had good morphology, integrity and perfusion behavior. The present study showed that the DLP printing technique was capable of fabricating implants for drug delivery and physiological channels for in vivo evaluation.

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