Institute of Materials Science and Engineering, Department of Mechanical Engineering and Materials Science , Washington University in St. Louis , St. Louis , Missouri 63130 , United States.
The Center for Clinical Pharmacology , St. Louis College of Pharmacy and Washington University School of Medicine , St. Louis , Missouri 63110 , United States.
Anal Chem. 2018 Jul 3;90(13):7880-7887. doi: 10.1021/acs.analchem.7b05470. Epub 2018 Jun 13.
Plasmonic biosensors based on the refractive index sensitivity of localized surface plasmon resonance (LSPR) are considered to be highly promising for on-chip and point-of-care biodiagnostics. However, most of the current plasmonic biosensors employ natural antibodies as biorecognition elements, which can easily lose their biorecognition ability upon exposure to environmental stressors (e.g., temperature and humidity). Plasmonic biosensors relying on molecular imprints as recognition elements (artificial antibodies) are hypothesized to be an attractive alternative for applications in resource-limited settings due to their excellent thermal, chemical, and environmental stability. In this work, we provide a comprehensive comparison of the stability of plasmonic biosensors based on natural and artificial antibodies. Although the natural antibody-based plasmonic biosensors exhibit superior sensitivity, their stability (temporal, thermal, and chemical) was found to be vastly inferior to those based on artificial antibodies. Our results convincingly demonstrate that these novel classes of artificial antibody-based plasmonic biosensors are highly attractive for point-of-care and resource-limited conditions where tight control over transport, storage, and handling conditions is not possible.
基于局域表面等离子体共振（LSPR）折射率灵敏度的等离子体生物传感器被认为非常有前途，可用于芯片上和即时的生物诊断。然而，目前大多数等离子体生物传感器采用天然抗体作为生物识别元件，当暴露于环境胁迫（例如温度和湿度）时，这些天然抗体很容易失去其生物识别能力。基于分子印迹作为识别元件（人工抗体）的等离子体生物传感器由于其出色的热稳定性、化学稳定性和环境稳定性，被认为是在资源有限的环境中应用的一种有吸引力的替代方法。在这项工作中，我们全面比较了基于天然和人工抗体的等离子体生物传感器的稳定性。尽管基于天然抗体的等离子体生物传感器具有更高的灵敏度，但它们的稳定性（时间、温度和化学稳定性）远不如基于人工抗体的传感器。我们的结果令人信服地证明，这些新型的人工抗体基于等离子体生物传感器对于即时和资源有限的条件非常有吸引力，在这些条件下，无法严格控制运输、储存和处理条件。
