Institute of Nano- and Biotechnologies (INB), Aachen University of Applied Sciences, Campus Jülich, 52428, Jülich, Germany.
Department of Physics and Astronomy, Laboratory for Soft Matter and Biophysics, KU Leuven, B-3001, Leuven, Belgium.
Biosens Bioelectron. 2024 Oct 1;261:116491. doi: 10.1016/j.bios.2024.116491. Epub 2024 Jun 13.
As one class of molecular imprinted polymers (MIPs), surface imprinted polymer (SIP)-based biosensors show great potential in direct whole-bacteria detection. Micro-contact imprinting, that involves stamping the template bacteria immobilized on a substrate into a pre-polymerized polymer matrix, is the most straightforward and prominent method to obtain SIP-based biosensors. However, the major drawbacks of the method arise from the requirement for fresh template bacteria and often non-reproducible bacteria distribution on the stamp substrate. Herein, we developed a positive master stamp containing photolithographic mimics of the template bacteria (E. coli) enabling reproducible fabrication of biomimetic SIP-based biosensors without the need for the "real" bacteria cells. By using atomic force and scanning electron microscopy imaging techniques, respectively, the E. coli-capturing ability of the SIP samples was tested, and compared with non-imprinted polymer (NIP)-based samples and control SIP samples, in which the cavity geometry does not match with E. coli cells. It was revealed that the presence of the biomimetic E. coli imprints with a specifically designed geometry increases the sensor E. coli-capturing ability by an "imprinting factor" of about 3. These findings show the importance of geometry-guided physical recognition in bacterial detection using SIP-based biosensors. In addition, this imprinting strategy was employed to interdigitated electrodes and QCM (quartz crystal microbalance) chips. E. coli detection performance of the sensors was demonstrated with electrochemical impedance spectroscopy (EIS) and QCM measurements with dissipation monitoring technique (QCM-D).
作为分子印迹聚合物 (MIPs) 的一类,基于表面印迹聚合物 (SIP) 的生物传感器在直接检测全细菌方面显示出巨大的潜力。微接触印迹涉及将模板细菌固定在基底上印迹到预聚合的聚合物基质中,是获得基于 SIP 的生物传感器的最直接和突出的方法。然而,该方法的主要缺点是需要新鲜的模板细菌,并且通常在印章基底上的细菌分布不可重复。在此,我们开发了一种包含模板细菌(大肠杆菌)光光刻模拟物的正母模,能够在无需“真实”细菌细胞的情况下可重复地制造仿生 SIP 生物传感器。通过分别使用原子力和扫描电子显微镜成像技术,测试了 SIP 样品对大肠杆菌的捕获能力,并与非印迹聚合物 (NIP) 基样品和对照 SIP 样品进行了比较,其中腔几何形状与大肠杆菌细胞不匹配。结果表明,具有特定设计几何形状的仿生大肠杆菌印迹的存在通过大约 3 的“印迹因子”增加了传感器对大肠杆菌的捕获能力。这些发现表明,在使用基于 SIP 的生物传感器进行细菌检测时,几何形状引导的物理识别的重要性。此外,这种印迹策略被应用于叉指电极和 QCM(石英晶体微天平)芯片。通过电化学阻抗谱 (EIS) 和质量监测技术 (QCM-D) 的 QCM 测量来证明传感器对大肠杆菌的检测性能。