Ultra Sensitive Piezoelectric-Based Microcantilever Sensor Operating at High Modes for Detection of Ultrasmall Masses

Author:

Faegh Samira1,Jalili Nader1

Affiliation:

1. Northeastern University, Boston, MA

Abstract

Detection of ultrasmall masses such as proteins and pathogens has been made possible as a result of nano-technological advancements. Development of label-free and highly sensitive biosensors has enabled the transduction of molecular recognition into detectable physical quantities. MicroCantilever (MC)-based systems have played a widespread role in developing such biosensors. One of the most important drawbacks of the available biosensors their high cost. Moreover, biosensors are normally quipped with external devices such as actuator and read out systems which are bulky and expensive. A unique self-sensing detection technique is proposed in this paper in order to address the limitations of the measurement systems. A number of approaches have been reported for enhancing the sensitivity of MC-based systems including geometry modification, employing nanoparticle-enhanced MCs and operating MCs in lateral and torsional modes. Although being investigated, there have not been analytical high fidelity models describing comprehensive dynamics and behavior of MCs operating in high modes. In this study, a comprehensive mathematical modeling is presented for the proposed self-sensing detection platform operating at ultrahigh mode using distributed-parameters system modeling. Mode convergence theory was adopted to have an accurate level of estimation. An extensive experimental setup was built using piezoelectric MC operating at high mode which verified theoretical modeling results. Finally, the whole platform was utilized as a biosensor for detection of ultrasmall adsorbed mass along with the theoretical and experimental results and verification. It was proved that operating MC at ultrahigh mode increases the sensitivity of system to detect adsorbed mass as a result of increased quality factor.

Publisher

American Society of Mechanical Engineers

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3