利用光固化技术制备的生物玻璃陶瓷骨植入物在骨修复领域具有许多优势, 然而生物玻璃陶瓷受粉体粒度的影响, 在光固化打印工艺、结构、力学性能和生物性能等方面存在较大的差异。本文以光固化3D打印过程中粒度的变化为切入点, 制备了两种不同粒度粉体的生物玻璃陶瓷浆料, 分别对生物玻璃陶瓷浆料的稳定性、流变特性和固化特性进行了表征, 根据TG-DSC曲线绘制了脱脂烧结曲线并对骨支架的表面质量、结构和力学性能进行了评价, 最后通过颅骨修复试验对降解性能进行了分析。结果表明: 小粒度粉体的浆料稳定性较好, 黏度较高, 对应的固化厚度和过固化宽度也较小; 小粒度粉体制备的骨支架表面质量、结构致密化程度和弯曲强度均优于大粒度粉体制备的骨支架, 但降解速率较低, 植入体内2个月后有新骨长入骨支架孔隙。本研究对不同粒度粉体的生物玻璃陶瓷骨支架制备具有指导意义, 有助于推动基于粒度分布的梯度可控降解骨支架的开发和应用。

Bioglass ceramic bone implants prepared by photocuring technology have many advantages in the field of bone repair. However, due to the influence of powder particle size, there are great differences in photocuring printing process, structure, mechanical and biological properties of bioglass ceramics. In this paper, based on the change of particle size in the process of photocuring 3D printing, two kinds of bioglass ceramic suspension with different particle sizes were prepared. The stability, rheological properties and curing behavior of bioglass ceramic suspension were characterized, respectively. Besides, the debinding sintering curve was drawn according to TG-DSC curves, and the surface quality, structure and mechanical properties of bone scaffold were evaluated. At last, the degradation performance was analyzed by skull repair experiment. The results show that the suspension with small particle size powder has good stability and high viscosity, and its corresponding curing depth and over-curing width are also small. The surface quality, structural densification and bending strength of bone scaffold prepared with small particle size powder are better than those prepared with large particle size powder. However, the degradation rate of bone scaffold prepared by small particle size powder is slow. After 2 months of implantation, new bone tissue in the scaffold pores is observed. This study provides guidance for the preparation of bioglass ceramic bone scaffolds with different particle sizes, which will help to promote the development and application of gradient controllable degradable bone scaffold based on particle size distribution.