Comparison of Analytical and Numerical Methods of Obtaining Coplanar Capacitance of Microelectrodes for Particulate Matter Detection

Oluwasanya, Pelumi W.; Rughoobur, Girish; Occhipinti, Luigi G.

doi:10.1109/jsen.2020.2985969

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…It states that the electrode gap must be at least bigger than the size of the largest particle size which is in nm size. [17]. D. Back, D. Theisen, W. Seo, C. S. J. Tsai, and D. B. Janes in 2020 designed a high resolution interdigital capacitive sensor to detect nanoscale particulate matter for mining and another environment like dust.…”

Section: An Efficient Mems Sensor Modelling Bymentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Kulkarni,

Chorage

2021

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Numerous technological applications use MEMS capacitive sensing technique as a major component, because of their ease of fabrication process, inexpensive and high sensitivity.The paper aims at modeling interdigitated capacitive (IDC) sensing. Virtually observe the contribution of variations in geometrical parameters to sensor efficiency and optimization factor. The sensor design is verified through ANSYS simulations. Results indicate "an efficient but poorly optimized sensor is better than a well-optimized sensor". It is difficult to detect capacitance in the range of few pF generated using capacitive sensing. How it can be maximized with dimension optimization is focused in this paper.

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Section: An Efficient Mems Sensor Modelling Bymentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Kulkarni,

Chorage

2021

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“…Notably, Influenza A viruses with uncleaved HA exhibit greater stability, maintaining infectivity at pH values lower than 4.5, in contrast to viruses with cleaved HA, which lose infectivity at a pH lower than 5 [3]. Knowing that PM could be a carrier for airborne pathogens, the integration of a bespoke biosensor with a particulate matter detection platform, combines pathogen detection with air quality monitoring [4,5] in a novel way and provides a more comprehensive understanding of air quality and health risks.…”

Section: Introductionmentioning

confidence: 99%

Pathogen Detection via Impedance Spectroscopy-Based Biosensor

Kandukuri,

Prattis,

Oluwasanya

et al. 2024

Sensors

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This paper presents the development of a miniaturized sensor device for selective detection of pathogens, specifically Influenza A Influenza virus, as an enveloped virus is relatively vulnerable to damaging environmental impacts. In consideration of environmental factors such as humidity and temperature, this particular pathogen proves to be an ideal choice for our study. It falls into the category of pathogens that pose greater challenges due to their susceptibility. An impedance biosensor was integrated into an existing platform and effectively separated and detected high concentrations of airborne pathogens. Bio-functionalized hydrogel-based detectors were utilized to analyze virus-containing particles. The sensor device demonstrated high sensitivity and specificity when exposed to varying concentrations of Influenza A virus ranging from 0.5 to 50 μg/mL. The sensitivity of the device for a 0.5 μg/mL analyte concentration was measured to be 695 Ω· mL/μg. Integration of this pathogen detector into a compact-design air quality monitoring device could foster the advancement of personal exposure monitoring applications. The proposed sensor device offers a promising approach for real-time pathogen detection in complex environmental settings.

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“…A model based on a MEMS capacitive sensor demonstrated that finite element analysis is the most accurate technique for estimating sensor capacitance [20]. Interdigitated capacitive sensors were used in mining environments to monitor real-time nanoscale particle concentrations, with simulations indicating that the sensor response is proportional to the number of particles accumulated on the sensor [21].…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of a Capacitive Sensor for Mass Measurement of Nanometer-Sized Exhaust Carbon Particles

Kulkarni

Chorage

2023

Proc. eng. technol. innov.

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Nanometer-sized carbon particulates generated by incomplete combustion in heavy-duty vehicles are harmful to human health. A high-resolution technique is needed to detect and measure these pollutants. This study aims to optimize a capacitive sensor design for detecting and measuring particulates. Firstly, the effect of design parameters on particulate detection and sensor compliance sensitivity is investigated by using the finite element method. By comparing the simulation results with literature findings for performance validation, the sensor structure is optimized to detect lower particulate concentrations. The simulation result shows that particulate detection sensitivity has linear variations with changes in particulate mass. With optimum electrode spacing and top insulation layer thickness of 5 µm, the sensor can detect a particulate deposition of 0.033 mg/min and generate a maximum capacitance of 581 pF. Since the optimized design can measure particulate deposition at a lower range and with higher sensitivity, it is suitable to be applied to detect nanometer-sized carbon particulates.

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Comparison of Analytical and Numerical Methods of Obtaining Coplanar Capacitance of Microelectrodes for Particulate Matter Detection

Cited by 9 publications

References 15 publications

International Journal of Electronics and Telecommunications

International Journal of Electronics and Telecommunications

Pathogen Detection via Impedance Spectroscopy-Based Biosensor

Design Optimization of a Capacitive Sensor for Mass Measurement of Nanometer-Sized Exhaust Carbon Particles

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