Influence of particle size distribution on the rheological properties and mathematical model fitting of injectable borosilicate bioactive glass bone cement
Influence of particle size distribution on the rheological properties and mathematical model fitting of injectable borosilicate bioactive glass bone cement
复制标题
粒径分布对可注射硼硅酸盐生物活性玻璃骨水泥流变性能的影响及数学模型拟合
DOI：
10.1016/j.ceramint.2020.06.222
复制
发表时间：
2020
影响因子：
5.2
通讯作者：
Deping Wang
中科院分区：
文献类型：
--
作者：
Zhangfan Wu;Ziyang Lin;Aihua Yao;Song Ye;Haobo Pan;Xu Cui;Deping Wang
可注射骨水泥的流变特性直接影响其在临床应用中的方便性和有效性，近年来在微创手术中的应用备受关注。本研究系统地研究了粒度分布对硼硅酸盐生物活性玻璃骨水泥（BSBGC）的流变性、可注射性和抗冲洗性的影响。同时，还评估了凝固时间。此外，提出了一个流变模型，描述BSBGC的流动行为。流变性能测试结果表明，所有BSBGC样品均表现出非牛顿流体行为，具有触变性和剪切变稀性。通过球磨24 h制备的BSBGC样品（命名为CBM 24）呈现出最大的触变环面积，证实CBM 24具有最大的触变性。粒径分布对BSBGC的溶胶-凝胶时间点、弹性模量、损耗模量和粘度有很大影响。根据流变学结果，选择了四种模型（Ostwald-de Waele（幂律），Bingham，Herschel-Bulkley和Casson）并应用于拟合实验数据。结果发现，幂律和赫歇尔-Bulkley模型是最适合模拟的BSBGC的流动行为，与CBM 24样品具有最大的拟合接近幂律模型。可注射性试验结果表明，所有BSBGC样品均可轻松注射。抗冲刷性能测试结果表明，CBM 24在具有最佳抗冲刷性能的基础上，呈现出最稳定的结构。此外，CBM 24具有合理的初凝和终凝时间。
Injectable bone cement combined with minimally invasive surgery has attracted much attention in recent years due to its rheological properties directly influencing its convenience and effectiveness in clinical applications. This study systematically investigates the influence of particle size distribution on the rheological, injectability, and anti-washout properties of borosilicate bioactive glass bone cement (BSBGC). Meanwhile, the setting time is also evaluated. Furthermore, a rheological model is proposed that describes the flow behaviour of BSBGC. Rheological results indicated that all the BSBGC samples exhibited non-Newtonian fluid behaviour, with thixotropic and shear-thinning properties. The BSBGC sample prepared via ball milling for 24 h (designated as CBM24) presented the largest thixotropic loop area, confirming that CBM24 has the greatest thixotropy. Particle size distribution greatly influenced the sol-gel time point, elastic and loss moduli, and viscosity of the BSBGC. Based on rheological results, four models (Ostwald–de Waele (Power law), Bingham, Herschel–Bulkley, and Casson) were selected and applied to fit the experimental data. It was found that the Power law and Herschel–Bulkley models were the most suitable for modelling the flow behaviour of the BSBGC, with the CBM24 sample having the greatest fitting proximity under the Power law model. Injectability test results showed that all BSBGC samples could be easily injected. Anti-washout test results indicated that CBM24 presented the most stable structure based on having the best anti-washout properties. Moreover, CBM24 had a reasonable initial and final setting time.