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Predicting the mechanism of removal of nonspecifically bound proteins in a surface acoustic wave biosensor: A fluid-solid interaction study

机译:预测表面声波生物传感器中非特异性结合蛋白的去除机制:流体固体相互作用研究

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Biosensors typically operate in liquid media for measurement of biomarkers and suffer from fouling mechanisms such as nonspecific binding of protein molecules to the device surface. In the current work, using a novel numerical technique as well as experiments, we have identified that fluid motion induced by high intensity sound waves, such as those propagating in these sensors, can lead to the removal of the nonspecifically bound proteins, thereby eliminating sensor fouling. We present a computational and experimental study of the acoustic-streaming phenomenon induced biofouling elimination by surface acoustic waves (SAWs). The transient solutions generated from the developed coupled field fluid solid interaction (FSI) model were utilized to predict trends in acoustic-streaming velocity for various design parameters such as voltage intensity, device frequency, fluid viscosity and density. The model predictions were utilized to compute the various interaction forces involved and thereby identify the possible mechanisms for removal of nonspecifically-bound proteins. Our study indicates that the SAW body force overcomes the adhesive forces of the fouling proteins to the device surface and the fluid-induced drag and lift forces prevent its re-attachment. The streaming velocity fields computed using the finite-element models in conjunction with the proposed mechanism were used to identify the conditions leading to improved removal efficiency. Our research findings have significant implications in designing reusable and highly sensitive biosensors.
机译:生物传感器通常在液体培养基中操作以测量生物标志物,并且遭受污垢机制,例如蛋白质分子与器件表面的非特异性结合。在当前工作中,使用新颖的数控技术以及实验,我们已经识别出由高强度声波引起的流体运动,例如在这些传感器中传播的那些,可以导致非特异性结合的蛋白质去除,从而消除传感器污垢。我们介绍了通过表面声波(锯)引起的声学流动现象的计算和实验研究。利用来自开发的耦合场流体固体相互作用(FSI)模型产生的瞬态溶液来预测各种设计参数的声流速度的趋势,例如电压强度,器件频率,流体粘度和密度。利用模型预测来计算所涉及的各种相互作用力,从而识别用于去除非特异性结合蛋白的可能机制。我们的研究表明,锯体力克服了污垢蛋白的粘合力与器件表面,流体诱导的阻力和提升力防止其重新连接。使用与所提出的机制结合使用有限元模型计算的流速度场用于识别导致改善去除效率的条件。我们的研究结果对设计可重复使用和高度敏感的生物传感器具有显着意义。

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