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使用光波导生物传感技术研发并深入研究具有细菌驱避和细菌黏附性能的抗体涂层表面。

Development and In-Depth Characterization of Bacteria Repellent and Bacteria Adhesive Antibody-Coated Surfaces Using Optical Waveguide Biosensing.

机构信息

Centre for Energy Research, Nanobiosensorics Laboratory, Institute of Technical Physics and Materials Science, 1121 Budapest, Hungary.

Department of Electronics Technology, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 1111 Budapest, Hungary.

出版信息

Biosensors (Basel). 2022 Jan 20;12(2):56. doi: 10.3390/bios12020056.

Abstract

Bacteria repellent surfaces and antibody-based coatings for bacterial assays have shown a growing demand in the field of biosensors, and have crucial importance in the design of biomedical devices. However, in-depth investigations and comparisons of possible solutions are still missing. The optical waveguide lightmode spectroscopy (OWLS) technique offers label-free, non-invasive, in situ characterization of protein and bacterial adsorption. Moreover, it has excellent flexibility for testing various surface coatings. Here, we describe an OWLS-based method supporting the development of bacteria repellent surfaces and characterize the layer structures and affinities of different antibody-based coatings for bacterial assays. In order to test nonspecific binding blocking agents against bacteria, OWLS chips were coated with bovine serum albumin (BSA), I-block, PAcrAM--(PMOXA, NH, Si), (PAcrAM-P) and PLL--PEG (PP) (with different coating temperatures), and subsequent adhesion was monitored. We found that the best performing blocking agents could inhibit bacterial adhesion from samples with bacteria concentrations of up to 10 cells/mL. Various immobilization methods were applied to graft a wide range of selected antibodies onto the biosensor's surface. Simple physisorption, Mix&Go (AnteoBind) (MG) films, covalently immobilized protein A and avidin-biotin based surface chemistries were all fabricated and tested. The surface adsorbed mass densities of deposited antibodies were determined, and the biosensor;s kinetic data were evaluated to divine the possible orientations of the bacteria-capturing antibodies and determine the rate constants and footprints of the binding events. The development of affinity layers was supported by enzyme-linked immunosorbent assay (ELISA) measurements in order to test the bacteria binding capabilities of the antibodies. The best performance in the biosensor measurements was achieved by employing a polyclonal antibody in combination with protein A-based immobilization and PAcrAM-P blocking of nonspecific binding. Using this setting, a surface sensitivity of 70 cells/mm was demonstrated.

摘要

抗菌表面和基于抗体的涂层在生物传感器领域的需求不断增长,在生物医学设备的设计中具有重要意义。然而,对于可能的解决方案,仍缺乏深入的调查和比较。光波导光模谱(OWLS)技术提供了无标记、非侵入式、原位的蛋白质和细菌吸附特性分析。此外,它在测试各种表面涂层方面具有出色的灵活性。在这里,我们描述了一种基于 OWLS 的方法,用于支持抗菌表面的开发,并对不同基于抗体的涂层进行了细菌分析,以表征其层结构和亲和力。为了测试针对细菌的非特异性结合抑制剂,OWLS 芯片用牛血清白蛋白(BSA)、I-block、PAcrAM--(PMOXA,NH,Si)(PAcrAM-P)和 PLL--PEG(PP)(具有不同的涂层温度)进行了涂层,并随后监测了后续的黏附情况。我们发现,最佳的阻断剂可以抑制浓度高达 10 个细胞/mL 的细菌样品的黏附。我们应用了各种固定化方法将一系列选定的抗体接枝到生物传感器表面。简单的物理吸附、Mix&Go(AnteoBind)(MG)膜、共价固定化的蛋白 A 和基于亲和素-生物素的表面化学都被制备和测试。确定了沉积抗体的表面吸附质量密度,并评估了生物传感器的动力学数据,以推断出捕获细菌的抗体的可能取向,并确定结合事件的速率常数和结合点位。通过酶联免疫吸附测定(ELISA)测量来支持亲和层的开发,以测试抗体的细菌结合能力。在生物传感器测量中,使用多克隆抗体与基于蛋白 A 的固定化和非特异性结合的 PAcrAM-P 阻断相结合,获得了最佳性能。使用这种设置,实现了 70 个细胞/mm 的表面灵敏度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9d1/8869200/7e734a1f3590/biosensors-12-00056-g001.jpg

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