Development of a planar microwave resonator based wetness sensor

Babarinde, Oluwatosin J.; Petrocchi, Alessandra; Volskiy, Vladimir; Ocket, Ilja; Schreurs, Dominique

doi:10.23919/gemic.2018.8335064

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…CPWs have been used as material sensors in the literature [33][34][35][36][37]. In [33][34][35][36], a resonator itched on the central conductor was used to detect wetness [33], and characterize liquids such as oils [34,36], and biological samples [35]. Moreover, CPWs are frequently used in different circuits including filters, couplers and power dividers which can be adapted into high sensitivity sensors.…”

Section: Sensor Designmentioning

confidence: 99%

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Coplanar Waveguide Based Sensor Using Paper Superstrate for Non-Invasive Sweat Monitoring

Riad

Eldamak

2020

IEEE Access

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This paper presents a broadband, simple, re-useable and low-cost approach for noninvasive sweat monitoring using a passive microwave circuit and a cellulose filter paper as a superstrate. The proposed sensor is composed of filter paper with the ability to absorb the sample liquid under test (LUT) placed on top of a coplanar waveguide (CPW) transmission line. Various samples of sodium chloride (NaCl) solutions with concentrations in the range of 0.01-2 mol/L and models of artificial sweat are used to test the proposed sensor. The difference in transmission coefficient (S21) between dry and wet states is used to determine the concentrations of tested solutions in the band of 1-6 GHz. The sensor detects concentrations as low as 0.01 mol/L (0.58 g/L) and quantities as low as 137 μL with a maximum sensitivity of 46.7 dB/g/L. The proposed sensor presents a simple approach to sample and characterize liquids with enhanced sensitivity and consistent performance using microwave signals.

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Section: Sensor Designmentioning

confidence: 99%

“…Another reported approach is to apply drops of the liquid directly on top of the circuit [30,33]. However, this technique requires precision in the exact location on which the drops land.…”

Section: Sensing Approachmentioning

confidence: 99%