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首页> 外文期刊>Journal of Microelectromechanical Systems >Theoretical Analysis of Strong-Axis Bending Mode Vibrations for Resonant Microcantilever (Bio)Chemical Sensors in Gas or Liquid Phase
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Theoretical Analysis of Strong-Axis Bending Mode Vibrations for Resonant Microcantilever (Bio)Chemical Sensors in Gas or Liquid Phase

机译:气相或液相中共振微悬臂梁(生物)化学传感器的强轴弯曲模式振动的理论分析

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摘要

The frequency stability, sensitivity, and limit of detection of a coated-cantilever chemical sensor operating in a dynamic mode are mainly determined by its mechanical quality factor. While a coated-cantilever operating in the gas phase exhibits a large reduction in quality factor, immersion in liquids results in an even greater reduction in the Q-factor due to displaced fluid mass and losses in the surrounding liquid. In this paper, two different bending vibration modes are studied in order to minimize both the losses induced by the surrounding medium and the displaced fluid mass, thus increasing the quality factor and sensitivity and improving (decreasing) the detection limit of the biochemical microsensor. The two particular vibration modes both involve "first mode" flexural vibrations (but in different orthogonal planes), and are referred to herein as "weak-axis bending" (WAB) and "strong-axis bending" (SAB). Using Sader's model, the expressions for both the quality factor and the resonant frequency are analyzed for the case of immersion in a viscous fluid. The results indicate that the strong-axis bending mode has certain advantages over the more conventional weak-axis mode in enhancing the sensor sensitivity and detection limit, even for the case in which the WAB and SAB devices have identical resonant frequencies
机译:以动态模式运行的涂层悬臂化学传感器的频率稳定性,灵敏度和检测极限主要由其机械品质因数决定。尽管在气相中操作的涂层悬臂梁表现出品质因数的大幅降低,但由于位移的流体质量和周围液体的损失,浸入液体中会导致Q系数的更大降低。在本文中,研究了两种不同的弯曲振动模式,以最小化周围介质引起的损失和置换流体的质量,从而提高了品质因数和灵敏度,并改善了(降低)生化微传感器的检测极限。两种特定的振动模式都涉及“第一模式”挠曲振动(但是在不同的正交平面中),并且在本文中被称为“弱轴弯曲”(WAB)和“强轴弯曲”(SAB)。使用萨德尔模型,针对浸入粘性流体的情况,分析了品质因数和共振频率的表达式。结果表明,即使在WAB和SAB器件具有相同的谐振频率的情况下,强轴弯曲模式也比传统的弱轴模式在增强传感器灵敏度和检测极限方面具有某些优势。

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