Suppr超能文献

利用超声导波防止导管管上微生物生物膜的形成。

Preventing microbial biofilms on catheter tubes using ultrasonic guided waves.

机构信息

Key Laboratory of Modern Acoustics (MOE), Department of Physics, Collaborative Innovation Centre of Advanced Microstructure, Nanjing University, Nanjing, 210093, China.

Department of Applied Engineering, Zhejiang Business College, Hangzhou, 310053, China.

出版信息

Sci Rep. 2017 Apr 4;7(1):616. doi: 10.1038/s41598-017-00705-8.

Abstract

Biofilms on indwelling tubes and medical prosthetic devices are among the leading causes of antibiotic-resistant bacterial infections. In this work, a new anti-biofilm catheter prototype was proposed. By combining an endotracheal tube (ET) with a group of ultrasonic guided wave (UGW) transducers, the general idea was to prevent bacteria aggregation with UGW vibrations. Based on quantitative analysis of UGW propagation, detailed approach was achieved through (a) selection of ultrasonic frequency, wave modes and vibration amplitude; and (b) adoption of wave coupling and 45° wave incidence technique. Performance of the proposed UGW-ET prototype was demonstrated via in vitro experiments, during which it deterred deposition of Pseudomonas aeruginosa (P. aeruginosa) biofilms successfully. With current configuration, UGW amplitudes ranged from 0.05-5 nm could be optimal to achieve biofilm prevention. This work sheds a light in the underlying mechanism of ultrasound-mediated biofilm prevention, and will inspire the development of new catheters of better antibacterial capability.

摘要

留置管和医疗假体上的生物膜是导致抗生素耐药细菌感染的主要原因之一。在这项工作中,提出了一种新型的抗生物膜导管原型。通过将气管内管 (ET) 与一组超声导波 (UGW) 换能器相结合,其总体思路是通过 UGW 振动防止细菌聚集。基于 UGW 传播的定量分析,通过(a)选择超声频率、波型和振动幅度;和(b)采用波耦合和 45°波入射技术,实现了详细的方法。通过体外实验证明了所提出的 UGW-ET 原型的性能,成功阻止了铜绿假单胞菌 (P. aeruginosa) 生物膜的沉积。在当前的配置下,UGW 幅度在 0.05-5nm 之间可以达到最佳的生物膜预防效果。这项工作揭示了超声介导的生物膜预防的潜在机制,并将激发更好抗菌能力的新型导管的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fda/5429618/56125662f315/41598_2017_705_Fig1_HTML.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