Abstract
A fluid density sensor based on resonance frequency change of a metallic tube is presented. The sensor has been developed without using a complex micro-fabrication process. The sensor is able to identify fluid types/contaminations and improve the performance by reducing testing time, decreasing complexity of testing equipment and reducing sample sizes. The sensor can measure the resonance frequency of its own structure and determine the change in resonance frequency due to the subsequent sample inside the tube. Numerical modelling, analytical modelling and physical testing of a prototype sensor showed comparable results for both the magnitude and resonance frequency shift. The modelling results yielded a resonance frequency shift of 200 Hz from 9.87 kHz to 9.67 kHz after the water was filled into the tube. The actual testing illustrated a resonance frequency change of 280 Hz from 9.11 kHz to 8.83 kHz. The ultimate aim of the work is to determine resonance frequencies of desired samples at a level that could detect genetic disease on a cellular level.
Highlights
With the population of the planet having increased by approximately 280% since 1950, predictions based on world census figures as of 2010 indicate that the global population will reach a figure close to 11 billion people by the end of the century [1]
This paper aims to develop a platform for end user devices that would be able to detect certain diseases and infections through the methods of detecting resonance frequency shift
This paper proposes a simple resonant mass sensor using a piece of low-cost metallic tube
Summary
With the population of the planet having increased by approximately 280% since 1950, predictions based on world census figures as of 2010 indicate that the global population will reach a figure close to 11 billion people by the end of the century [1]. Such increases in population cause expected increases in human to human interactions. Numerous biosensors based on optical, gravimetric, thermal, and electrical principles have been developed in order to improve some aspects of performance [3, 4]. Most of these techniques still require sample preparation and continuous monitoring over long periods
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