Litcius/Paper detail

Microwave Microfluidic Sensor for Detection of High Equol Concentrations in Aqueous Solution

Panida Loutchanwoot, Supakorn Harnsoongnoen

2022IEEE Transactions on Biomedical Circuits and Systems28 citationsDOI

Abstract

This paper presents a Peano fractal geometry complementary split ring resonator (PFCSRR) loaded microstrip transmission line with a microfluidic channel for equol (EQ) sensing in a high and wide range of concentrations in aqueous solution. The proposed sensor was designed based on a CSRR loaded microstrip line with a Peano fractal in the center of a CSRR and validated through simulation and experiment. The microfluidic channel was fabricated using polydimethylsiloxane (PDMS) and installed to cover the sensing area. The free space, empty microfluidic channels, deionized (DI) water, dimethyl sulfoxide (DMSO), and various concentrations of EQ were measured by a microwave sensor through sample-filled microfluidic channels. Detection of high levels of EQ was in the concentration range of 0.01 mM – 100 mM. The materials under test (MUTs) were measured in the frequency range of 1.0 GHz–3.5 GHz based on the magnitude of the transmission coefficient (S <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sub> ) and resonance frequency (F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> ) at room temperature. The S <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sub> and F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> were recorded and analyzed by logarithmic concentrations of EQ for the determinant of the correlations between EQ concentration and S <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</sub> and F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> . Principal component analysis (PCA) and K–means clustering were used to analyze and classify groups of MUTs.

Topics & Concepts

Materials scienceMicrofluidicsPolydimethylsiloxaneMicrowaveMicrostripAnalytical Chemistry (journal)OptoelectronicsAqueous solutionPermittivitySplit-ring resonatorDetection limitResonatorFractal dimensionCapacitive sensingDielectricElectrodeResonance (particle physics)Dissipation factorMicroporous materialTransmission lineMicrowave and Dielectric Measurement TechniquesAdvanced Chemical Sensor TechnologiesBiosensors and Analytical Detection