Experimental Measurement System for 3-6 GHz Microwave Breast Tomography

Kim, Hyuk-Je; Lee, Kwang-Jae; Kim, Jang‐Yeol; Lee, Joon-Moon; Jeon, Soon‐Ik; Choi, Hyung‐Do

doi:10.5515/jkiees.2015.15.4.250

Cited by 13 publications

(10 citation statements)

References 14 publications

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“…However, increasing number of CT scans definitely expose more radiation doses which may induce cancer risks [ 63 ], even if we ignore the equipment cost, treatment cost and high-tech machinery involved in these screening systems. To complement these harmful effects, microwave imaging seems to be an option, where dielectric properties of healthy and malignant tissues can produce uniquely identified sensor-response [ 64 ]. Based on this approach, several RF microfluidic biosensors have been proposed and discussed in this review articles with an emphasis on those belong to metamaterial technology.…”

Section: Metamaterials Based Microfluidic Sensorsmentioning

confidence: 99%

Review of Recent Metamaterial Microfluidic Sensors

Salim

Lim

2018

Sensors

168

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Metamaterial elements/arrays exhibit a sensitive response to fluids yet with a small footprint, therefore, they have been an attractive choice to realize various sensing devices when integrated with microfluidic technology. Micro-channels made from inexpensive biocompatible materials avoid any contamination from environment and require only microliter–nanoliter sample for sensing. Simple design, easy fabrication process, light weight prototype, and instant measurements are advantages as compared to conventional (optical, electrochemical and biological) sensing systems. Inkjet-printed flexible sensors find their utilization in rapidly growing wearable electronics and health-monitoring flexible devices. Adequate sensitivity and repeatability of these low profile microfluidic sensors make them a potential candidate for point-of-care testing which novice patients can use reliably. Aside from degraded sensitivity and lack of selectivity in all practical microwave chemical sensors, they require an instrument, such as vector network analyzer for measurements and not readily available as a self-sustained portable sensor. This review article presents state-of-the-art metamaterial inspired microfluidic bio/chemical sensors (passive devices ranging from gigahertz to terahertz range) with an emphasis on metamaterial sensing circuit and microfluidic detection. We also highlight challenges and strategies to cope these issues which set future directions.

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Section: Metamaterials Based Microfluidic Sensorsmentioning

confidence: 99%

Review of Recent Metamaterial Microfluidic Sensors

Salim

Lim

2018

Sensors

168

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“…Based on several works [17,18,20], selection of c n in (5) is highly depending on the shape of Σ m . Unfortunately, the shape of Σ m is unknown, it is impossible to find proper vectors c n .…”

Section: Remark 31mentioning

confidence: 99%

“…Unfortunately, the shape of Σ m is unknown, it is impossible to find proper vectors c n . Due to this fact, following from [20], we assume that c n · [1, θ n ] T = 1 for all n, i.e., we consider the following test vector instead of (5) f(x) = 1 N e i ωθ 1 ·x , e i ωθ 2 ·x , · · · , e i ωθ N ·x T and analyze the mathematical structure of F (x).…”

Section: Remark 31mentioning

confidence: 99%

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Interpretation of MUSIC for Location Detecting of Small Inhomogeneities Surrounded by Random Scatterers

Park

2016

Mathematical Problems in Engineering

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In this paper, we consider the MUltiple SIgnal Classification (MUSIC) algorithm for identifying the locations of small electromagnetic inhomogeneities surrounded by random scatterers. For this purpose, we rigorously analyze the structure of MUSIC-type imaging function by establishing a relationship with zero-order Bessel function of the first kind. This relationship shows certain properties of the MUSIC algorithm, explains some unexplained phenomena, and provides a method for improvements.

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“…The reduction in some fluid samples required for testing and biochemical analysis at microwave frequencies provides some inherent advantages such as reduction in measurement time and reusability [8]. Passive RF biosensors utilize either metamaterial elements such as ring resonators or rectangular/cylindrical cavity resonators [9,10]. A microfluidic sensor based on a coplanar waveguide transmission line, to characterize the broadband complex permittivity, cell sorting, and quantification of biological media is proposed in [11].…”

Section: Introductionmentioning

confidence: 99%

Microfluidic Biosensor Based on Microwave Substrate-Integrated Waveguide Cavity Resonator

et al. 2018

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A microfluidic biosensor is proposed using a microwave substrate-integrated waveguide (SIW) cavity resonator. The main objectives of this noninvasive biosensor are to detect and analyze biomaterial using tiny liquid volumes (3 μL). The sensing mechanism of our proposed biosensor relies on the dielectric perturbation phenomenon of biomaterial under test, which causes a change in resonance frequency and return loss (amplitude). First, an SIW cavity is realized on a Rogers RT/Duroid 5870 substrate. Then, a microwell made from polydimethylsiloxane (PDMS) material is loaded on the SIW cavity to observe the perturbation phenomenon. The microwell is filled with phosphate-buffered saline (PBS) solution (reference biological medium). To demonstrate the sensing behavior, the fibroblast (FB) cells from the lungs of a human male subject are analyzed and one-port S-parameters are measured. The resonance frequency of the structure with FB cells is observed to be 13.48 GHz. The reproducibility and repeatability of our proposed biosensor are successfully demonstrated through full-wave simulations and measurements. The resonance frequency of the FB-loaded microwell showed a shift of 170 MHz and 20 MHz, when compared to those of empty and PBS-loaded microwells. Its analytical limit of detection is 213 cells/μL. Our proposed biosensor is noncontact and reliable. Furthermore, it is miniaturized, inexpensive, and fabricated using simple- and easy-design processes.

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Experimental Measurement System for 3-6 GHz Microwave Breast Tomography

Cited by 13 publications

References 14 publications

Review of Recent Metamaterial Microfluidic Sensors

Review of Recent Metamaterial Microfluidic Sensors

Interpretation of MUSIC for Location Detecting of Small Inhomogeneities Surrounded by Random Scatterers

Microfluidic Biosensor Based on Microwave Substrate-Integrated Waveguide Cavity Resonator

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