Department of Plant Agriculture, University of Guelph, Ontario N1G2W1, Canada.
Carbohydr Polym. 2013 Feb 15;92(2):1100-6. doi: 10.1016/j.carbpol.2012.10.055. Epub 2012 Oct 30.
This work focuses on the use of statistical approach in optimizing shape-size accord of electrospun cellulose acetate (CA) mats - an apt material for biomedical and industrial applications. Modulation of three processing parameters, namely potential difference, distance between tip-to-collector and feed rate led to myriad of fiber-morphology (beaded, bead free, branched and ribbon) with diverse size-spectrum. Response surface methodology using Box-Behnken design technique indicated significant linear and quadratic influence of the chosen parameters. Fibers with minimal diameter of ~139 nm (with a mean coherency co-efficient of 0.5192) were predicted for 30 kV (voltage), 15 cm (tip-to-collector distance) and 2 mL/h (feed rate). Reasonable agreement existed between the predicted R-squared value (0.9565) and adjusted R-squared value (0.9824) with similar observation for the experimental and model values over the entire factor space. The developed model may serve as a base model for understanding process - parametric influence on electrospinning CA and related polymers.
这项工作专注于统计方法在优化静电纺丝醋酸纤维素（CA）垫的形状-尺寸一致性中的应用 - 这是一种适用于生物医学和工业应用的材料。通过调节三个工艺参数，即电势差、尖端到收集器的距离和进料速度，导致了具有不同尺寸分布的无数纤维形态（珠状、无珠状、分支和带状）。使用 Box-Behnken 设计技术的响应面方法表明，所选参数具有显著的线性和二次影响。对于 30 kV（电压）、15 cm（尖端到收集器的距离）和 2 mL/h（进料速度），预测出具有最小直径约 139nm 的纤维（均一性系数为 0.5192）。预测的 R 平方值（0.9565）和调整的 R 平方值（0.9824）之间存在合理的一致性，并且在整个因子空间中，实验值和模型值之间也存在类似的观察结果。所开发的模型可以作为理解静电纺丝 CA 和相关聚合物的工艺参数影响的基础模型。
