Suppr超能文献

用于抗菌应用的仿生硅酮表面

Biomimetic Silicone Surfaces for Antibacterial Applications.

作者信息

Barshutina Marie, Yakubovsky Dmitry, Arsenin Aleksey, Volkov Valentyn, Barshutin Sergey, Vladimirova Anastasiya, Baymiev Andrei

机构信息

Moscow Center for Advanced Studies, Moscow 123592, Russia.

Emerging Technologies Research Center, XPANCEO, Dubai P.O. Box 393047, United Arab Emirates.

出版信息

Polymers (Basel). 2025 Jan 16;17(2):213. doi: 10.3390/polym17020213.

Abstract

Biomimetic patterning emerges as a promising antibiotic-free approach to protect medical devices from bacterial adhesion and biofilm formation. The main advantage of this approach lies in its simplicity and scalability for industrial applications. In this study, we employ it to produce antibacterial coatings based on silicone materials, widely used in the healthcare industry. In doing so, we patterned silicone substrates with a topography of various flower petals (rose, chamomile, pansy, and magnolia) and studied the relationship between the antibacterial properties of the obtained biomimetic substrates and their surface topography. To study the surface topography of biomimetic surfaces, we used the fractal analysis of their SEM images. In particular, as a measure of surface complexity and heterogeneity, we used the values of the developed interfacial area ratio () and lacunarity coefficient (β). In the result, we found that the bacterial area coverage of biomimetic substrates decreased exponentially with the increase in their surface complexity and heterogeneity, and prominent antibacterial properties were observed at β > 1.6 and > 50. The results of this study can be used to identify biomimetic materials with superior antibacterial properties and produce efficient antibacterial silicone coatings for biomedical and healthcare applications.

摘要

仿生图案化作为一种有前景的无抗生素方法,可用于保护医疗设备免受细菌粘附和生物膜形成的影响。这种方法的主要优点在于其简单性和在工业应用中的可扩展性。在本研究中,我们采用这种方法来制备基于硅酮材料的抗菌涂层,硅酮材料在医疗行业中广泛使用。在此过程中,我们在硅酮基底上制备了具有各种花瓣(玫瑰、洋甘菊、三色堇和木兰)形貌的图案,并研究了所得仿生基底的抗菌性能与其表面形貌之间的关系。为了研究仿生表面的表面形貌,我们对其扫描电子显微镜(SEM)图像进行了分形分析。具体而言,作为表面复杂性和不均匀性的度量,我们使用了展开界面面积比()和空隙率系数(β)的值。结果发现,仿生基底的细菌覆盖面积随其表面复杂性和不均匀性的增加呈指数下降,并且在β>1.6和>50时观察到显著的抗菌性能。本研究结果可用于识别具有优异抗菌性能的仿生材料,并制备用于生物医学和医疗保健应用的高效抗菌硅酮涂层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64c4/11768613/4e443ef68230/polymers-17-00213-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验