A Dual-Mode Microwave Resonator for Liquid Chromatography Applications

Ye, Duye; Omkar,; Wang, Pingshan

doi:10.1109/jsen.2020.3018683

Cited by 12 publications

(3 citation statements)

References 50 publications

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“…Usually, this requires the choice of some polymer material, such as Polytetrafluoroethylene (PTFE) or PDMS, and then the integration in the designed part of the microwave microstrip circuit. Frequently, the use of some positioning components, made, e.g., by 3D printing as in [ 34 ] or some steel frame, is necessary, as shown in [ 42 , 43 ].…”

Section: Substrate Materials Of Microfluidic-microwave Devicesmentioning

confidence: 99%

Microfluidic Modules Integrated with Microwave Components—Overview of Applications from the Perspective of Different Manufacturing Technologies

Jasińska

Malecha

2021

Sensors

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The constant increase in the number of microfluidic-microwave devices can be explained by various advantages, such as relatively easy integration of various microwave circuits in the device, which contains microfluidic components. To achieve the aforementioned solutions, four trends of manufacturing appear—manufacturing based on epoxy-glass laminates, polymer materials (mostly common in use are polydimethylsiloxane (PDMS) and polymethyl 2-methylpropenoate (PMMA)), glass/silicon substrates, and Low-Temperature Cofired Ceramics (LTCCs). Additionally, the domains of applications the microwave-microfluidic devices can be divided into three main fields—dielectric heating, microwave-based detection in microfluidic devices, and the reactors for microwave-enhanced chemistry. Such an approach allows heating or delivering the microwave power to the liquid in the microchannels, as well as the detection of its dielectric parameters. This article consists of a literature review of exemplary solutions that are based on the above-mentioned technologies with the possibilities, comparison, and exemplary applications based on each aforementioned technology.

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Section: Substrate Materials Of Microfluidic-microwave Devicesmentioning

confidence: 99%

Microfluidic Modules Integrated with Microwave Components—Overview of Applications from the Perspective of Different Manufacturing Technologies

Jasińska

Malecha

2021

Sensors

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“…Sensors as transducers of real‐world information into the digital‐world information play a significant role in IoT to let the IoT record, process, and transfer the information over various networks. In case of microwave sensors, researchers around the world have been developing different designs to be used in different applications, such as: liquid chromatography 1 ; detection and quantification of biological cells inside liquid samples 2 ; cation and anion differentiation of liquids 3 ; ethanol detection via wearable sensors 4 ; human vital sign detection 5 ; liquid mixture concentration characterization 6 ; and so forth. However, inexpensive, highly integrable, and real‐time measurement capabilities are some of the most important features concerning not only microwave sensors but also sensors in general, to establish more effective IoT.…”

Section: Introductionmentioning

confidence: 99%

Integrated liquid–liquid percentage determination microwave sensor exploiting single‐frequency transmission amplitude measurement technique

Masoumabad,

Delmonte,

Silvestri

et al. 2024

Micro & Optical Tech Letters

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This letter presents an integrated liquid–liquid percentage determination system exploiting the single‐frequency transmission measurement technique. The system is composed of an oscillator, working at a single‐frequency (f0), a circular substrate‐integrated waveguide (SIW) cavity resonator perturbed at the center to accommodate a glass pipe with the liquid under test (LUT), and a power detector to measure the transmission amplitude variation due to the presence of different LUTs. This system is a great solution for locally embedded and inexpensive applications by avoiding bulky and expensive scattering parameter measurement devices such as vector network analyzers. Furthermore, its single‐frequency measurement capability makes it an excellent candidate for real‐time measurements. The system is designed to work at 2.47 GHz, which falls into the Industrial, Scientific, and Medical regime. The discrepancies between the proposed model and the measurements are compensated using a proper error calibration method, leading to a significant reduction in the percentage reading errors.

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“…Although the toxicity of formazan is relatively low, studies have shown that there are multiple potential harms from exposure to formazan. Currently, methods for the detection of agrochemical pollutants in fruits and vegetables include gas chromatography ( Girard et al, 2021 ), high-performance liquid chromatography ( Wei et al, 2021 ), gas chromatography-mass spectrometry ( Ghatak et al, 2018 ), and liquid chromatography-mass spectrometry ( Ye et al, 2020 ). Although these analytical techniques have good sensitivity for the quantitative detection of chemical pollutants, they still have shortcomings such as the inability to real-time monitoring, complicated operations, and cumbersome sampling process ( Bereli et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Kernel principal component analysis and differential non-linear feature extraction of pesticide residues on fruit surface based on surface-enhanced Raman spectroscopy

et al. 2022

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Surface-enhanced Raman spectroscopy (SERS) has attracted much attention because of its high sensitivity, high speed, and simple sample processing, and has great potential for application in the field of pesticide residue detection. However, SERS is susceptible to the influence of a complex detection environment in the detection of pesticide residues on the surface of fruits, facing problems such as interference from the spectral peaks of detected impurities, unclear dimension of effective correlation data, and poor linearity of sensing signals. In this work, the enhanced raw data of the pesticide thiram residues on the fruit surface using gold nanoparticle (Au-NPs) solution are formed into the raw data set of Raman signal in the IoT environment of Raman spectroscopy principal component detection. Considering the non-linear characteristics of sensing data, this work adopts kernel principal component analysis (KPCA) including radial basis function (RBF) to extract the main features for the spectra in the ranges of 653∼683 cm−1, 705∼728 cm−1, and 847∼872 cm−1, and discusses the effects of different kernel function widths (σ) to construct a qualitative analysis of pesticide residues based on SERS spectral data model, so that the SERS spectral data produce more useful dimensionality reduction with minimal loss, higher mean squared error for cross-validation in non-linear scenarios, and effectively weaken the interference features of detecting impurity spectral peaks, unclear dimensionality of effective correlation data, and poor linearity of sensing signals, reflecting better extraction effects than conventional principal component analysis (PCA) models.

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A Dual-Mode Microwave Resonator for Liquid Chromatography Applications

Cited by 12 publications

References 50 publications

Microfluidic Modules Integrated with Microwave Components—Overview of Applications from the Perspective of Different Manufacturing Technologies

Microfluidic Modules Integrated with Microwave Components—Overview of Applications from the Perspective of Different Manufacturing Technologies

Integrated liquid–liquid percentage determination microwave sensor exploiting single‐frequency transmission amplitude measurement technique

Kernel principal component analysis and differential non-linear feature extraction of pesticide residues on fruit surface based on surface-enhanced Raman spectroscopy

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