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Label-free Acoustic and Optical Biosensors Playing on Evanescent Waves

机译:在van逝波下播放的无标签声光生物传感器

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Development of sensitive, reliable, high-throughput, label-free detection techniques is an issue with increasing emphasis because the labeling strategies that most of the microarray applications have employed, such as fluorescent, chemiluminescent and radioactive labeling, have synthetic challenges, multiple label issues and may exhibit interference with the binding sites. Label-free detection techniques monitor biomolecular interactions and simplify the bioassays by eliminating the need for secondary reactants. Especially, biosensors based on evanescent waves often have high sensitivities by recording the changes caused by the molecule interaction near the sensor surface within the evanescent field, and moreover they provide quantitative information for the binding kinetics. In this article, we will describe the similarity of sound waves and electromagnetic waves and review the biosensors to which the two types of label-free techniques are related. The theoretical and technical outlines behind the sensing principles, such as the evanescent waves scattering, interference, resonance and tunnel effects, will be summarized. The physical mechanisms to modulate waves by microano structures, which localize the waves, amplify the signaloise ratio and increase Q factor for high sensitivity and high resolution, will also be discussed. Moreover, the promising acousto-optic sensing mechanism and the possibility of multi-parameter decoupling detection will be mentioned. The potential prospects, merits and challenges of these kinds of biosensors are also indicated.
机译:开发敏感,可靠,高吞吐量,无标签检测技术是一种问题,随着大多数微阵列应用所用的标签策略,例如荧光,化学发光和放射性标签,具有综合挑战,具有综合挑战,具有综合挑战,具有综合性挑战并且可能表现出与结合位点的干扰。无标记检测技术监测生物分子相互作用,并通过消除对二次反应物的需要简化生物测定。特别地,基于渐逝波的生物传感器通常通过记录由渐逝场内的传感器表面附近的分子相互作用引起的变化来具有高灵敏度,并且它们为结合动力学提供了定量信息。在本文中,我们将描述声波和电磁波的相似性,并回顾两种无标签技术与之相关的生物传感器。将概括了传感原则背后的理论和技术纲要,例如渐变波散射,干扰,共振和隧道效应。还将讨论通过微/纳米结构调制波的物理机制,该微/纳米结构定位波,放大信号/噪声比率和增加Q因子以获得高灵敏度和高分辨率。此外,将提到有前途的声光传感机制和多参数解耦检测的可能性。还指出了这些生物传感器的潜在前景,优点和挑战。

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