Koons Gerry L, Kontoyiannis Panayiotis D, Diaz-Gomez Luis, Elsarrag Selma Z, Scott David W, Diba Mani, Mikos Antonios G
Department of Bioengineering, Rice University, Houston, Texas, USA.
Medical Scientist Training Program, Baylor College of Medicine, Houston, Texas, USA.
3D Print Addit Manuf. 2024 Apr 1;11(2):e813-e827. doi: 10.1089/3dp.2022.0208. Epub 2024 Apr 16.
Successful employment of 3D printing for delivery of therapeutic biomolecules requires protection of their bioactivity on exposure to potentially inactivating conditions. Although intermediary encapsulation of the biomolecules in polymeric particulate delivery vehicles is a promising strategy for this objective, the inclusion of such particles in 3D printing formulations may critically impact the accuracy or precision of 3D printed scaffolds relative to their intended designed architectures, as well as the degradation behavior of both the scaffolds and the included particles. The present work aimed to elucidate the effect of poly(d,l-lactic--glycolic acid) particle size and loading concentration on material accuracy, machine precision, and degradation of 3D printed poly(-caprolactone)-based scaffolds. Using a main effects analysis, the sizes and loading concentrations of particle delivery vehicles investigated were found to have neither a beneficial nor disadvantageous influence on the metrics of printing quality such as material accuracy and machine precision. Meanwhile, particle loading concentration was determined to influence degradation rate, whereas printing temperature affected the trends in composite weight-average molecular weight. Neither of the two particle-related parameters (concentration nor diameter) was found to exhibit a significant effect on intra-fiber nor inter-fiber porosity. These findings evidence the capacity for controlled loading of particulate delivery vehicles in 3D printed scaffolds while preserving construct accuracy and precision, and with predictable dictation of composite degradation behavior for potential controlled release of encapsulated biomolecules.
成功地将3D打印用于治疗性生物分子的递送需要在暴露于潜在的失活条件下保护其生物活性。尽管将生物分子中介封装在聚合物颗粒递送载体中是实现这一目标的一种有前景的策略,但将此类颗粒纳入3D打印配方可能会严重影响3D打印支架相对于其预期设计结构的准确性或精度,以及支架和所含颗粒的降解行为。本研究旨在阐明聚(d,l-乳酸-乙醇酸)颗粒大小和负载浓度对3D打印聚己内酯基支架的材料准确性、机器精度和降解的影响。通过主效应分析发现,所研究的颗粒递送载体的大小和负载浓度对诸如材料准确性和机器精度等打印质量指标既没有有益影响也没有不利影响。同时,确定颗粒负载浓度会影响降解速率,而打印温度会影响复合材料重均分子量的变化趋势。未发现与颗粒相关的两个参数(浓度和直径)对纤维内孔隙率或纤维间孔隙率有显著影响。这些发现证明了在3D打印支架中可控负载颗粒递送载体的能力,同时保持构建体的准确性和精度,并对复合材料的降解行为进行可预测的调控,以实现对封装生物分子的潜在控释。