首页> 外文期刊>Tissue engineering, Part C. Methods >Characterization and optimization of cell seeding in scaffolds by factorial design: quality by design approach for skeletal tissue engineering.
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Characterization and optimization of cell seeding in scaffolds by factorial design: quality by design approach for skeletal tissue engineering.

机译:通过析因设计表征和优化支架中的细胞播种:骨骼组织工程的设计方法质量。

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Cell seeding into scaffolds plays a crucial role in the development of efficient bone tissue engineering constructs. Hence, it becomes imperative to identify the key factors that quantitatively predict reproducible and efficient seeding protocols. In this study, the optimization of a cell seeding process was investigated using design of experiments (DOE) statistical methods. Five seeding factors (cell type, scaffold type, seeding volume, seeding density, and seeding time) were selected and investigated by means of two response parameters, critically related to the cell seeding process: cell seeding efficiency (CSE) and cell-specific viability (CSV). In addition, cell spatial distribution (CSD) was analyzed by Live/Dead staining assays. Analysis identified a number of statistically significant main factor effects and interactions. Among the five seeding factors, only seeding volume and seeding time significantly affected CSE and CSV. Also, cell and scaffold type were involved in the interactions with other seeding factors. Within the investigated ranges, optimal conditions in terms of CSV and CSD were obtained when seeding cells in a regular scaffold with an excess of medium. The results of this case study contribute to a better understanding and definition of optimal process parameters for cell seeding. A DOE strategy can identify and optimize critical process variables to reduce the variability and assists in determining which variables should be carefully controlled during good manufacturing practice production to enable a clinically relevant implant.
机译:将细胞植入支架中在有效的骨组织工程构建体的开发中起着至关重要的作用。因此,必须确定定量预测可重复和有效播种方案的关键因素。在这项研究中,使用实验设计(DOE)统计方法研究了细胞接种过程的优化。选择了五个接种因子(细胞类型,支架类型,接种量,接种密度和接种时间),并通过两个与细胞接种过程密切相关的响应参数进行研究:细胞接种效率(CSE)和细胞特异性生存力(CSV)。另外,通过活/死染色测定法分析细胞空间分布(CSD)。分析确定了许多具有统计意义的主要因素影响和相互作用。在五个播种因素中,只有播种量和播种时间显着影响CSE和CSV。而且,细胞和支架类型参与了与其他接种因子的相互作用。在研究范围内,当将细胞接种在具有过量培养基的常规支架中时,可获得关于CSV和CSD的最佳条件。该案例研究的结果有助于更好地理解和定义用于细胞接种的最佳工艺参数。 DOE策略可以识别和优化关键的工艺变量以减少可变性,并有助于确定在良好的生产规范生产过程中应仔细控制哪些变量,以实现具有临床意义的植入物。

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