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High Precision Liquid Salinity Sensing using a CNT coated Quartz Crystal Microbalance
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Title
High Precision Liquid Salinity Sensing using a CNT coated Quartz Crystal Microbalance
Issued Date
2022-04
Citation
Jang, Il Ryu. (2022-04). High Precision Liquid Salinity Sensing using a CNT coated Quartz Crystal Microbalance. IEEE Sensors Journal, 22(8), 7684–7691. doi: 10.1109/JSEN.2022.3157465
Type
Article
Author Keywords
adhesion parameterAdhesivescarbon nanotubesIonsLiquidsMathematical modelsQuartz Crystal MicrobalanceResonant frequencysalinity sensingSensorsTemperature sensors
Keywords
HETEROGENEOUS NUCLEATIONLIGHT-SCATTERINGCRYSTALLIZATIONPARTICLESSENSORBEHAVIOR
ISSN
1530-437X
Abstract
Quartz crystal microbalance (QCM) has been used as a resonant sensing platform for chemical, biological, and mechanical events detection. Specifically, QCMs have shown great potential towards a particle sensing as the added mass induces a linear shift in resonant frequency. Although a QCM is an economic solution for the mass sensing of solid thin films, QCMs generally become unreliable for in-liquid particles analysis due to a rather complex fluidic motions and coffee ring effect of liquid droplets. Specifically, uncontrollable agglomerations of particles hinder a stable QCM operation and ultimately limit its mass sensitivity. This paper presents the integration of a layer of Carbon Nanotubes (CNTs) on a QCM for an accurate sensing of the ion concentration in liquid, or salinity. The integrated CNT layer induces a controllable nm-resolution roughness on QCMs, and such roughness affects the nucleation behavior of ionic particles and adhesion parameters, ultimately improving the particle adhesion for a stable QCM operation. CNT-QCMs exhibit a mass sensing range of up to over 10 μg with about 40 pg measurement resolution. Moreover, CNT-QCMs maintain higher quality factor (Q) compared to the bare QCM, and such improvement in Q could directly determine the power budget and noise performances of the QCM integrated oscillators or sensor systems. We believe our work can contribute to build an advanced sensor system for water quality monitoring and detection of liquid ion concentration in semiconductor fabrication processes. IEEE
URI
http://hdl.handle.net/20.500.11750/17190
DOI
10.1109/JSEN.2022.3157465
Publisher
Institute of Electrical and Electronics Engineers
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Kim, Hoe Joon김회준

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