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Optimization of process parameters of 3D printed clozapine dispersive tablets and establishment of personalized dose model
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Ru-xin CHEN1, 2, Xiao-lu HAN2, Bo-shi LIU2, Yuan-bing LIU3, Ting LIU2, Zeng-ming WANG2, *, Zhong-cheng LIU1, *, Ai-ping ZHENG2, *
Acta Pharmaceutica Sinica | 2021, 56(4) : 1155 - 1162
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Acta Pharmaceutica Sinica | 2021, 56(4): 1155-1162
• Original Articles •
Optimization of process parameters of 3D printed clozapine dispersive tablets and establishment of personalized dose model
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Ru-xin CHEN1, 2, Xiao-lu HAN2, Bo-shi LIU2, Yuan-bing LIU3, Ting LIU2, Zeng-ming WANG2, *, Zhong-cheng LIU1, *, Ai-ping ZHENG2, *
Affiliations
  • 1. College of Pharmacy, Hebei University, Baoding 071002, China
  • 2. China Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing 100850, China
  • 3. 73101 Unit People's Liberation Army of China, Xuzhou 221000, China
Published: 2021-04-12 doi: 10.16438/j.0513-4870.2020-1678
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This study aims to establish the design space of the key processes for drop-on-powder 3D printing based on design of experiment (DoE). By utilizing Minitab, an experimental scheme with three factors, two levels and three center points was designed to analyze the factors that significantly affected the tablet quality attributes. Furthermore, the factor interactions were analyzed using Minitab. subsequently, the computer aided drafting (CAD) software was used to adjust the model volume with fixed radius/height ratio (r/h=1.25) and establish a linear regression equation between model volume and dose. As a result, the drug dose could be controlled in a flexible manner. The finally determined process parameters were: ink-jet level is 12, layer thickness is 150 μm, and the X-axis printing head speed of 635 mm·s-1. Regression equation between drug content (y) and model volume (x) was y=0.062 x-0.582 7 (R2=0.999 9) showing good linear relationship. This indicated that robust and feasible process parameters were obtained through DoE, and the preparation of personalized-dose tablets was realized with good reproducibility.

3D printing  /  clozapine  /  key process parameter  /  design of experiment  /  personalized dose
Ru-xin CHEN, Xiao-lu HAN, Bo-shi LIU, Yuan-bing LIU, Ting LIU, Zeng-ming WANG, Zhong-cheng LIU, Ai-ping ZHENG. Optimization of process parameters of 3D printed clozapine dispersive tablets and establishment of personalized dose model[J]. Acta Pharmaceutica Sinica, 2021 , 56 (4) : 1155 -1162 . DOI: 10.16438/j.0513-4870.2020-1678
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Article Info
doi: 10.16438/j.0513-4870.2020-1678
  • Receive Date：2020-10-29
  • Online Date：2025-12-18
  • Published：2021-04-12
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History
  • Received：2020-10-29
  • Revised：2020-12-03
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Affiliations
    1. College of Pharmacy, Hebei University, Baoding 071002, China
    2. China Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing 100850, China
    3. 73101 Unit People's Liberation Army of China, Xuzhou 221000, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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