Abstract

Dielectric characteristics are useful to determine crucial properties of liquids and to differentiate between liquid samples with similar physical characteristics. Liquid recognition has found applications in a broad variety of fields, including healthcare, food science, and quality inspection, among others. This work demonstrates the fabrication, instrumentation, and functionality of a portable wireless sensor node for the permittivity measurement of liquids that require characterization and differentiation. The node incorporates an interdigitated microelectrode array as a transducer and a microcontroller unit with radio communication electronics for data processing and transmission, which enable a wide variety of stand-alone applications. A laser-ablation-based microfabrication technique is applied to fabricate the microelectromechanical systems (MEMS) transducer on a printed circuit board (PCB) substrate. The surface of the transducer is covered with a thin layer of SU-8 polymer by spin coating, which prevents it from direct contact with the Cu electrodes and the liquid sample. This helps to enhance durability, avoid electrode corrosion and contamination of the liquid sample, and to prevent undesirable electrochemical reactions to arise. The transducer’s impedance was modeled as a Randles cell, having resistive and reactive components determined analytically using a square wave as stimuli, and a resistor as a current-to-voltage converter. To characterize the node sensitivity under different conditions, three different transducer designs were fabricated and tested for four different fluids, i.e., air, isopropanol, glycerin, and distilled water—achieving a sensitivity of 1.6965 +/− 0.2028 εr/pF. The use of laser ablation allowed the reduction of the transducer footprint while maintaining its sensitivity within an adequate value for the targeted applications.

Highlights

  • Published: 2 September 2021Dielectric characteristics are useful to determine the crucial properties of liquids and to differentiate between liquid samples with similar physical characteristics

  • The analysis considers that (a) the problem is electrostatic due to the very low frequencies involved, (b) the electric potential is given by the Laplace equation with suitable conditions in the metal–dielectric and dielectric–dielectric boundaries, and (c) the electric field, E, is obtained as the negative of the electric potential gradient

  • A comparison between geometrical features between the ideal CAD design and the ablated printed circuit board (PCB)-microelectromechanical systems (MEMS) structure of one of the devices would serve as a reference to characterize the aforementioned process followed in this work

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Summary

Introduction

Dielectric characteristics are useful to determine the crucial properties of liquids and to differentiate between liquid samples with similar physical characteristics. The capabilities of sensors for liquid characterization have been studied before, using interdigitated electrodes arrays (IDEA) in applications that require the differentiation of liquids in certain environments in which conditions must be controlled. In this regard, one of the most used parameters to assess liquids is the dielectric constant. Even though the data generated by one sensor could gather enough information for some applications, the conjunction of several sensors as a network is what manifests the potential of the Internet of Things (IoT) paradigm. Each sensor in a spatially distributed network is called a sensor node and is hooked up to a network by a communication protocol, such as Wi-Fi, MQTT, Bluetooth Low Energy (BLE), among others

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