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3D printing and additive manufacturing. 2024 Jun 18;11(3):e1343-e1355. doi: 10.1089/3dp.2022.0340 Q32.12025

Optimization of 3D Printing Parameters of Polylactic-Co-Glycolic Acid-Based Biodegradable Antibacterial Materials Using Fused Deposition Modeling

基于融合沉积模型的聚乳酸-聚乙二醇可降解抗菌材料的三维打印参数优化研究 翻译改进

Dandan Dou  1  2, Lizhen Wang  1  2, Kaixiang Jin  1  2, Yingxiang Han  1  2, Xiaofei Wang  1  2, Lihua Song  1  2, Yubo Fan  1  2

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作者单位

  • 1 Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
  • 2 School of Engineering Medicine, Beihang University, Beijing, China.
  • DOI: 10.1089/3dp.2022.0340 PMID: 39359583

    摘要 中英对照阅读

    A high incidence of ureteral diseases was needed to find better treatments such as implanting ureteral stents. The existing ureteral stents produced a series of complications such as bacterial infection and biofilm after implantation. The fused deposition modeling (FDM) of 3D printing biodegradable antibacterial ureteral stents had gradually become the trend of clinical treatment. But it was necessary to optimize the FDM 3D printing parameters of biodegrad... ...点击完成人机验证后继续浏览

    为了找到更好的治疗方法,如植入输尿管支架,需要有较高的输尿管疾病发病率。现有的输尿管支架在植入后会产生一系列并发症,例如细菌感染和生物膜形成。使用熔融沉积建模(FDM)3D打印可降解抗菌输尿管支架逐渐成为临床治疗的趋势。但是,为了提高制造的精度和性能,有必要优化可降解抗菌材料的FDM 3D打印参数。在本研究中,通过物理共混方法将聚乳酸-co-乙醇酸(PLGA)、聚己内酯(PCL)和纳米银(AgNP)混合,并对3D打印参数和性质进行了研究。通过单因素变量法和线性拟合获得了打印参数与打印误差之间的关系。通过红外光谱检测、分子量检测和机械性能测试获得3D打印样品的性能。打印温度和打印压力与打印误差成正比,而打印速度与打印误差成反比。3D打印对可降解抗菌材料的功能基团和分子量影响很小。添加AgNP使压缩强度和断裂强度分别提高了8.332% 和 37.726%,为调节机械性能提供了思路。通过优化打印温度、打印压力和打印速度的参数,精确地建立了热熔3D打印可降解抗菌材料的参数范围,这将进一步应用于可降解植入介入医疗器械的先进制造。

    关键词:3D 打印参数;PLGA 基可降解抗菌材料;机械性能;优化分析。

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    期刊名:3d printing and additive manufacturing

    缩写:3D PRINT ADDIT MANUF

    ISSN:2329-7662

    e-ISSN:2329-7670

    IF/分区:2.1/Q3

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    Optimization of 3D Printing Parameters of Polylactic-Co-Glycolic Acid-Based Biodegradable Antibacterial Materials Using Fused Deposition Modeling