A system of continuous particles monitoring using virtual impactor

Sun, Junqi; Yang, Kyounghoon; Liu, Zewen; Lü, Yanwu

doi:10.1109/icemi.2015.7494466

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…Instruments in the early generation are designed for scientific studies. They are typically bulky in the package, such as standard gravimetric measurement, Beta Gauge [2], Tapered Element Oscillating Microbalance (TEOM) [3][4][5], Berner Low Pressure Impactor (ELPI) [6], and Nephelometric [7]. While promising to have great potential for reducing the damping of the MCL.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Design and Optimization of Rectangular Micro-Cantilever-Based Aerosols Mass Sensor

Wei

Bian

et al. 2020

Sensors

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Micro-Cantilever (MCL) is a thin film structure that is applied for aerosol particle mass sensing. Several modifications to the rectangular MCL (length-to-width ratio, slots at the anchor, serrations at its side edges) are made to deduce the role and influence of the shape of rectangular MCL-based aerosol mass sensors and reduce gas damping. A finite element fluid-structure interaction model was used to investigate the performance of MCL. It is found that (I) the mass sensitivity and quality factor decline with the increasing of length-to-width ratio which alters the resonant frequency of the MCL. The optimum conditions, including the length-to-width ratio (σlw = 5) and resonant frequency (f0 = 540.7 kHz) of the MCL, are obtained with the constant surface area (S = 45,000 μm2) in the frequency domain ranging from 0 to 600 kHz. (II) The slots can enhance the read-out signal and bring a small Q factor drop. (III) The edge serrations on MCL significantly reduce the gas damping. The results provide a reference for the design of aerosol mass sensor, which makes it possible to develop aerosol mass sensor with high frequency, sensitivity, and quality.

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Section: Introductionmentioning

confidence: 99%

Simulation-Based Design and Optimization of Rectangular Micro-Cantilever-Based Aerosols Mass Sensor

Wei

Bian

et al. 2020

Sensors

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“…Consequently, particles are separated based on their inertia, and large ones are concentrated inside the middle channel. Virtual impactors have been widely implemented for ambient fine-particle sensing, − especially monitoring PM in air. − Recent efforts have also utilized this platform for bio-aerosol detection in indoor environments. , However, to classify the type of the collected particles for bio-aerosol sensing, the airflow from the middle channel needs to go through a filtration step, where the flowing bio-aerosols are transferred to a physical filter or a bio-aerosol collector (an impinger) . Further analytical examination steps, such as culturing and PCR analysis, are applied to reveal the species of the collected bio-aerosols.…”

mentioning

confidence: 99%

Virtual Impactor-Based Label-Free Pollen Detection using Holography and Deep Learning

et al. 2022

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Exposure to bio-aerosols such as pollen can lead to adverse health effects. There is a need for a portable and cost-effective device for long-term monitoring and quantification of various types of pollen. To address this need, we present a mobile and cost-effective label-free sensor that takes holographic images of flowing particulate matter (PM) concentrated by a virtual impactor, which selectively slows down and guides particles larger than 6 μm to fly through an imaging window. The flowing particles are illuminated by a pulsed laser diode, casting their inline holograms on a complementary metal-oxide semiconductor image sensor in a lens-free mobile imaging device. The illumination contains three short pulses with a negligible shift of the flowing particle within one pulse, and triplicate holograms of the same particle are recorded at a single frame before it exits the imaging field-of-view, revealing different perspectives of each particle. The particles within the virtual impactor are localized through a differential detection scheme, and a deep neural network classifies the pollen type in a label-free manner based on the acquired holographic images. We demonstrated the success of this mobile pollen detector with a virtual impactor using different types of pollen (i.e., bermuda, elm, oak, pine, sycamore, and wheat) and achieved a blind classification accuracy of 92.91%. This mobile and cost-effective device weighs ∼700 g and can be used for label-free sensing and quantification of various bio-aerosols over extended periods since it is based on a cartridge-free virtual impactor that does not capture or immobilize PM.

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Aerosol mass concentration measurements: Recent advancements of real-time nano/micro systems

Soysal¹,

Gehin²,

Algré³

et al. 2017

Journal of Aerosol Science

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A system of continuous particles monitoring using virtual impactor

Cited by 6 publications

References 12 publications

Simulation-Based Design and Optimization of Rectangular Micro-Cantilever-Based Aerosols Mass Sensor

Simulation-Based Design and Optimization of Rectangular Micro-Cantilever-Based Aerosols Mass Sensor

Virtual Impactor-Based Label-Free Pollen Detection using Holography and Deep Learning

Aerosol mass concentration measurements: Recent advancements of real-time nano/micro systems

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