AI Article Synopsis

  • A micro-UV bio-fluorescence sensor was created to detect various biological aerosols like bacteria, viruses, and pollen.
  • Numerical calculations were performed to optimize the sensor's flow conditions, focusing on how sample aerosols and sheath flow interact.
  • The evaluation used a CFD-based model in ANSYS CFX-14 to track particle trajectories, showing that sheath flow changes quickly at the nozzle's tip while sample particles stay mostly centered in the aerosol jet.

Article Abstract

A micro-UV bio-fluorescence sensor was developed to detect primary biological aerosols including bacteria, bacterial spores, fungal spores, pollens, viruses, algae, etc. In order to effectively detect the bio-particles in a micro-UV bio-fluorescence sensor, numerical calculations were performed to adjust for appropriate flow conditions of the sensor by regulating the sample aerosols and sheath flow. In particular, a CFD-based model of hydrodynamic processes was developed by computing the trajectory of particles using commercially available ANSYS CFX-14 software and the Lagrangian tracking model. The established model was evaluated with regard to the variation of sheath flow rate and particle size. Results showed that the sheath flow was changed rapidly at the end of nozzle tip, but the sample particles moved near the center of aerosol jet for aerodynamic focusing with little deviation from the axis.

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http://dx.doi.org/10.1166/jnn.2015.10248DOI Listing

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Article Synopsis
  • A micro-UV bio-fluorescence sensor was created to detect various biological aerosols like bacteria, viruses, and pollen.
  • Numerical calculations were performed to optimize the sensor's flow conditions, focusing on how sample aerosols and sheath flow interact.
  • The evaluation used a CFD-based model in ANSYS CFX-14 to track particle trajectories, showing that sheath flow changes quickly at the nozzle's tip while sample particles stay mostly centered in the aerosol jet.
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