模拟口腔生理条件下3d打印可生物降解医疗器械理化性能变化评价

Eungtae Lee, Yeonguk Seong, Jihee Jeong, Yongbin Ji, Joonho Eom, Changwon Park, Jinhyun Kim, Sangbae Park, Jong Hoon Chung
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引用次数: 0

摘要

可生物降解的医疗器械在植入后会降解,可能导致临床失败。因此,有必要评估其植入后性质的变化。然而,目前还缺乏一种精确评价其物理化学性质变化的标准化方法。在这项研究中,我们旨在建立精确模拟口腔生理条件(SOPCs),并研究生物降解牙屏障膜(BDBMs)的物理化学特性变化,以预测人类种植后生物降解牙屏障膜(BDBMs)的性能变化。我们研究了暴露于SOPC 24周后BDBM的物理化学性质的变化。当BDBM暴露于SOPC 24周时,BDBM的质量(-1.37%)、分子量(-19.54%)和拉伸负荷(-72.84%)均显著降低。在理化性质中,大鼠在植入24周后分子量下降(-15.78%),暴露于SOPC 24周后分子量下降(-19.54%)。BDBM在体外模拟条件下的理化性质变化与在体内环境下的变化相似。总的来说,将BDBM暴露于所提出的SOPC后,对其物理化学性质变化的评估表明,它能够准确预测植入后的性能变化。这种方法不仅可以为BDBM的发展提供重要的见解,也可以为各种类型的可生物降解医疗设备提供重要的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of physicochemical property changes in 3D-printed biodegradable medical devices under simulated oral physiological conditions.

Biodegradable medical devices undergo degradation following implantation, potentially leading to clinical failure. Consequently, it is necessary to assess the change in their properties post-implantation. However, a standardized method for the precise evaluation of the changes in their physicochemical properties is currently lacking. In this study, we aimed to establish precisely simulated oral physiological conditions (SOPCs) and investigate the physicochemical property changes to predict the performance alterations of biodegradable dental barrier membranes (BDBMs) following human implantation. We investigated changes in physicochemical properties of BDBM after exposure to SOPC for 24 weeks. When BDBM was exposed to SOPC for 24 weeks, there was a significant decrease in mass (-1.37%), molecular weight (-19.54%) and tensile load (-72.84%). Among the physicochemical properties, molecular weight decreased similarly after 24 weeks of implantation in rats (-15.78%) and after 24 weeks of exposure to SOPC (-19.54%). Changes in the physicochemical properties of BDBM in simulatedin vitrooral conditions and in thein vivoenvironment were similar. Overall, the evaluation of physicochemical property changes after exposing BDBM to the proposed SOPC demonstrates novelty in its ability to accurately predict performance changes post-implantation. This approach may provide significant insights not only for the development of BDBM but also for various types of biodegradable medical devices.

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