Detection of Soot Using a Resistivity Sensor Device Employing Thermophoretic Particle Deposition

Lutic, Doina; Pagels, Joakim; Björklund, Robert B.; Josza, Peter; Visser, J.H.; Grant, Ann W.; Johansson, Mats L.; Paaso, Jaska; Fägerman, Per-Erik; Sanati, Mehri; Spetz, Anita Lloyd

doi:10.1155/2010/421072

Cited by 20 publications

(19 citation statements)

References 11 publications

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“…As a simple, rugged, and cost-effective solution for the detection of soot particles downstream DPF, the electrical conductivity of particles deposited between two electrodes can be monitored to characterize properties of soot particles emitted (Fleischer et al 2005: Lutic et al 2010. Such methodology can also be applied in other areas such as emissions from thermochemical conversion of biomass (Lillieblad et al 2004;Wierzbicka et al 2005).…”

Section: Introductionmentioning

confidence: 99%

A Potential Soot Mass Determination Method from Resistivity Measurement of Thermophoretically Deposited Soot

Malik¹,

Abdulhamid²,

Pagels³

et al. 2011

Aerosol Science and Technology

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Miniaturized detection systems for nanometer-sized airborne particles are in demand, for example in applications for onboard diagnostics downstream particulate filters in modern diesel engines. A soot sensor based on resistivity measurements was developed and characterized. This involved generation of soot particles using a quenched co-flow diffusion flame; depositing the particles onto a sensor substrate using thermophoresis and particle detection using a finger electrode structure, patterned on thermally oxidized silicon substrate. The generated soot particles were characterized using techniques including Scanning Mobility Particle Sizer for mobility size distributions, Differential Mobility Analyzer-Aerosol Particle Mass analyzer for the mass-mobility relationship, and Transmission Electron Microscopy for morphology. The generated particles were similar to particles from diesel engines in concentration, mobility size distribution, and mass fractal dimension. The primary particle size, effective density and organic mass fraction were slightly lower than values reported for diesel engines. The response measured with the sensors was largely dependent on particle mass concentration, but increased with increasing soot aggregate mobility size. Detection down to cumulative mass as small as 20-30 µg has been demonstrated. The detection limit can be improved by using a more sensitive resistance meter, modified deposition cell, larger flow rates of soot aerosol and modifying the sensor surface.

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Section: Introductionmentioning

confidence: 99%

A Potential Soot Mass Determination Method from Resistivity Measurement of Thermophoretically Deposited Soot

Malik¹,

Abdulhamid²,

Pagels³

et al. 2011

Aerosol Science and Technology

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“…The detecting probe consists of an upper shell (1); a lower shell (2); a slit nozzle VI (3); a hot source (4) and a SAW sensor chip (5). An air inlet (6) and an air outlet (7) are at both ends of the lower shell.…”

Section: Design and Simulationmentioning

confidence: 99%

“…At present, the main methods for PM 2.5 monitoring are the gravimetric method, the β-ray decay method and the tapered element oscillating microbalance (TEOM) method [5], which suffer from large volume and high price. On the other hand, for portable purposes, the light scattering method, the micro electro mechanical systems (MEMS) method and some novel detecting approaches [6][7][8][9] are reported. Besides, to realize better sensitivity for mass sensors, high-frequency and high-Q aluminum nitride Lamb wave resonators were also developed recently [10,11].…”

Section: Introductionmentioning

confidence: 99%

A Novel Particulate Matter 2.5 Sensor Based on Surface Acoustic Wave Technology

Liu

Hao²,

Liu

et al. 2018

Applied Sciences

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Design, fabrication and experiments of a miniature particulate matter (PM) 2.5 sensor based on the surface acoustic wave (SAW) technology were proposed. The sensor contains a virtual impactor (VI) for particle separation, a thermophoretic precipitator (TP) for PM 2.5 capture and a SAW sensor chip for PM 2.5 mass detection. The separation performance of the VI was evaluated by using the finite element method (FEM) model and the PM 2.5 deposition characteristic in the TP was obtained by analyzing the thermophoretic theory. Employing the coupling-of-modes (COM) model, a low loss and high-quality SAW resonator was designed. By virtue of the micro electro mechanical system (MEMS) technology and semiconductor technology, the SAW based PM 2.5 sensor detecting probe was fabricated. Then, combining a dual-port SAW oscillator and an air sampler, the experimental platform was set up. Exposing the PM 2.5 sensor to the polystyrene latex (PSL) particles in a chamber, the sensor performance was evaluated. The results show that by detecting the PSL particles with a certain diameter of 2 µm, the response of the SAW based PM 2.5 sensor is linear, and in accordance with the response of the light scattering based PM 2.5 monitor. The developed SAW based PM 2.5 sensor has great potential for the application of airborne particle detection.

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“…The 16-pin holder was inserted in a sealed aluminum cell connected to gas inlet and outlet purge. Details about the experimental setup can be found in our previous papers [32,33].…”

Section: Sensing Tests and Experimental Set-upmentioning

confidence: 99%

Synthesis and characterization of catalytic metal semiconductor-doped siliceous materials with ordered structure for chemical sensoring

et al. 2013

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Detection of Soot Using a Resistivity Sensor Device Employing Thermophoretic Particle Deposition

Cited by 20 publications

References 11 publications

A Potential Soot Mass Determination Method from Resistivity Measurement of Thermophoretically Deposited Soot

A Potential Soot Mass Determination Method from Resistivity Measurement of Thermophoretically Deposited Soot

A Novel Particulate Matter 2.5 Sensor Based on Surface Acoustic Wave Technology

Synthesis and characterization of catalytic metal semiconductor-doped siliceous materials with ordered structure for chemical sensoring

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