A Drop-on-Micropillars (DOM)-Based Acoustic Wave Viscometer for High Viscosity Liquid Measurement

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ilia Chiniforooshan Esfahani;Siqi Ji;Hongwei Sun
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Abstract

High viscosity measurement is critical for applications such as food manufacturing, drug development, and biomedical diagnostics. Vibration-based viscosity measurement devices have become increasingly popular due to their portability, cost efficiency, and low sample consumption. However, they suffered drawbacks such as low sensitivity and high damping and noise levels when measuring high-viscosity liquids due to the increased hydrodynamic loading on the vibrating structures. In this work, a novel drop-on-micropillar (DOM) concept is developed to improve the sensitivity and reduce the damping of the vibrational viscometers for high viscosity measurement by taking advantage of a liquid drop on a micropillar array under non-wetting state—Cassie state. In the meantime, the unique resonance phenomena between micropillars and acoustic wave substrate ( $\mu $ PAW)—quartz crystal resonator (QCR) can significantly improve the sensitivity of the original acoustic wave device. The DOM concept was realized by fabricating polymethyl methacrylate (PMMA) micropillars on a QCR surface by thermal nanoimprinting lithography (T-NIL), and the pillar surface was then modified through a chemical vapor deposition (CVD) technique to yield a superhydrophobic micropillar surface. The resonance frequency shift and quality factor of the devices were measured for deionized water and aqueous glycerol solution with viscosity ranging from 3 to 91.4 cP. The results show that the DOM device can achieve the measurement of viscous liquids at a high sensitivity while maintaining the quality factor (energy dissipation) within an acceptable level.
基于微滴(DOM)的高粘度液体声波粘度计
高粘度测量对于食品制造、药物开发和生物医学诊断等应用至关重要。基于振动的粘度测量设备由于其便携性、成本效益和低样品消耗而变得越来越受欢迎。然而,当测量高粘度液体时,由于振动结构上的流体动力学负载增加,它们存在诸如低灵敏度、高阻尼和噪声水平的缺点。在这项工作中,开发了一种新的微柱上液滴(DOM)概念,通过利用非润湿状态下微柱阵列上的液滴——卡西状态,来提高用于高粘度测量的振动粘度计的灵敏度并降低其阻尼。同时,微柱与声波基底($\mu$PAW)——石英晶体谐振器(QCR)之间独特的谐振现象可以显著提高原始声波器件的灵敏度。DOM概念是通过热纳米压印光刻(T-NIL)在QCR表面上制造聚甲基丙烯酸甲酯(PMMA)微柱来实现的,然后通过化学气相沉积(CVD)技术对柱表面进行改性,以产生超疏水微柱表面。测量了粘度在3至91.4cP范围内的去离子水和甘油水溶液的共振频移和器件的品质因数。结果表明,DOM器件可以实现对粘性液体的高灵敏度测量,同时将品质因数(能量耗散)保持在可接受的水平内。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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