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飞秒激光微纳结构诱导的细胞相容性和抗菌增强的人工神经网络。

Artificial neural network for cytocompatibility and antibacterial enhancement induced by femtosecond laser micro/nano structures.

机构信息

Advanced Manufacturing Center, Ningbo Institute of Technology, Beihang University, Ningbo, 315100, China.

School of Mechanical Engineering & Automation, Beihang University, Beijing, 100083, China.

出版信息

J Nanobiotechnology. 2022 Aug 6;20(1):365. doi: 10.1186/s12951-022-01578-4.

DOI:10.1186/s12951-022-01578-4
PMID:35933376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9357338/
Abstract

The failure of orthopedic and dental implants is mainly caused by biomaterial-associated infections and poor osseointegration. Surface modification of biomedical materials plays a significant role in enhancing osseointegration and anti-bacterial infection. In this work, a non-linear relationship between the micro/nano surface structures and the femtosecond laser processing parameters was successfully established based on an artificial neural network. Then a controllable functional surface with silver nanoparticles (AgNPs) to was produced to improve the cytocompatibility and antibacterial properties of biomedical titanium alloy. The surface topography, wettability, and Ag release were carefully investigated. The effects of these characteristics on antibacterial activity and cytocompatibilty were also evaluated. Results show that the prepared surface is hydrophobic, which can prevent the burst release of Ag in the initial stage. The prepared surface also shows both good cytocompatibility toward the murine calvarial preosteoblasts MC3T3-E1 cells (derived from Mus musculus (mouse) calvaria) and good antibacterial effects against Gram-negative (E. coli) and Gram-positive (S. aureus) bacteria, which is caused by the combined effect of appropriate micro/nano-structured feature and reasonable Ag release rate. We do not only clarify the antibacterial mechanism but also demonstrate the possibility of balancing the antibacterial and osteointegration-promoting properties by micro/nano-structures. The reported method offers an effective strategy for the patterned surface modification of implants.

摘要

骨科和牙科植入物的失效主要是由生物材料相关感染和骨整合不良引起的。生物医学材料的表面改性在增强骨整合和抗菌感染方面起着重要作用。在这项工作中,基于人工神经网络成功建立了微/纳表面结构与飞秒激光加工参数之间的非线性关系。然后,制备了具有银纳米粒子 (AgNPs) 的可控功能表面,以提高生物医用钛合金的细胞相容性和抗菌性能。仔细研究了表面形貌、润湿性和 Ag 释放。还评估了这些特性对抗菌活性和细胞相容性的影响。结果表明,所制备的表面具有疏水性,可以防止 Ag 在初始阶段的爆发释放。所制备的表面对鼠颅前成骨细胞 MC3T3-E1 细胞(来源于 Mus musculus(鼠)颅骨)也具有良好的细胞相容性,并且对革兰氏阴性(大肠杆菌)和革兰氏阳性(金黄色葡萄球菌)细菌具有良好的抗菌效果,这是由适当的微/纳米结构特征和合理的 Ag 释放率的共同作用所致。我们不仅阐明了抗菌机制,还证明了通过微/纳米结构平衡抗菌和促进骨整合性能的可能性。所报道的方法为植入物的图案化表面改性提供了一种有效的策略。

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