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用于人类牙齿生物膜去除和病原体检测的表面形貌自适应机器人超结构

Surface Topography-Adaptive Robotic Superstructures for Biofilm Removal and Pathogen Detection on Human Teeth.

机构信息

Biofilm Research Laboratories, Levy Center for Oral Health, School of Dental Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.

Department of Chemical and Biomolecular Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.

出版信息

ACS Nano. 2022 Aug 23;16(8):11998-12012. doi: 10.1021/acsnano.2c01950. Epub 2022 Jun 28.

Abstract

The eradication of biofilms remains an unresolved challenge across disciplines. Furthermore, in biomedicine, the sampling of spatially heterogeneous biofilms is crucial for accurate pathogen detection and precise treatment of infection. However, current approaches are incapable of removing highly adhesive biostructures from topographically complex surfaces. To meet these needs, we demonstrate magnetic field-directed assembly of nanoparticles into surface topography-adaptive robotic superstructures (STARS) for precision-guided biofilm removal and diagnostic sampling. These structures extend or retract at multilength scales (micro-to-centimeter) to operate on opposing surfaces and rapidly adjust their shape, length, and stiffness to adapt and apply high-shear stress. STARS conform to complex surface topographies by entering angled grooves or extending into narrow crevices and "scrub" adherent biofilm with multiaxis motion while producing antibacterial reagents on-site. Furthermore, as the superstructure disrupts the biofilm, it captures bacterial, fungal, viral, and matrix components, allowing sample retrieval for multiplexed diagnostic analysis. We apply STARS using automated motion patterns to target complex three-dimensional geometries of ex vivo human teeth to retrieve biofilm samples with microscale precision, while providing "toothbrushing-like" and "flossing-like" action with antibacterial activity in real-time to achieve mechanochemical removal and multikingdom pathogen detection. This approach could lead to autonomous, multifunctional antibiofilm platforms to advance current oral care modalities and other fields contending with harmful biofilms on hard-to-reach surfaces.

摘要

生物膜的清除仍然是各学科领域尚未解决的挑战。此外,在生物医学中,对空间异质生物膜进行采样对于准确检测病原体和精确治疗感染至关重要。然而,目前的方法无法从具有复杂拓扑结构的表面去除具有高粘附性的生物结构。为了满足这些需求,我们展示了磁场引导纳米粒子组装成表面形貌自适应机器人超结构(STARS),用于精确引导生物膜去除和诊断采样。这些结构在微到厘米的多个长度尺度上延伸或缩回,可在相反的表面上操作,并能快速调整其形状、长度和刚度,以适应和施加高剪切应力。STARS 通过进入斜槽或延伸到狭窄的缝隙来适应复杂的表面形貌,并通过多轴运动“擦洗”附着的生物膜,同时现场产生抗菌试剂。此外,由于超结构破坏了生物膜,它捕获了细菌、真菌、病毒和基质成分,允许进行多路诊断分析的样本检索。我们使用自动化运动模式将 STARS 应用于离体人牙的复杂三维几何形状,以微尺度精度获取生物膜样本,同时提供具有抗菌活性的“类似刷牙”和“类似牙线”动作,以实现机械化学去除和多菌属病原体检测。这种方法可能会导致自主的、多功能的抗生物膜平台的出现,以推进当前的口腔护理模式和其他领域的发展,这些领域都面临着难以触及的表面上有害生物膜的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1aa/9413416/f539ed6496cf/nn2c01950_0001.jpg

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