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Low-cost real-time multi-parameter bio-aerosol sensors (invited paper)
V.E. Foot
,
Paul H. Kaye
,
Warren Stanley
, S.J. Barrington
, M.W. Gallagher
, A. Gabey
Centre for Atmospheric and Climate Physics Research
Particle Instruments and diagnostics
School of Physics, Engineering & Computer Science
Department of Physics, Astronomy and Mathematics
Research output
:
Contribution to journal
›
Conference article
›
peer-review
38
Citations (Scopus)
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Keyphrases
Bioaerosol
100%
Multi-parameter
100%
Fluorophore
100%
Aerosol Sensor
100%
Prototype Sensor
66%
Airborne Particles
66%
Light Scattering
66%
Xenon
66%
Aerosol
33%
Tryptophan
33%
Ambient Air
33%
Optical Properties
33%
Delivery System
33%
Particle Size
33%
Continuous Monitoring
33%
Parameter Space
33%
Size-and-shape
33%
Light Signaling
33%
Detection Rate
33%
Two-band
33%
Particle Shape
33%
Scattered Data
33%
Elastic Scattering
33%
UV Radiation
33%
Diode Laser
33%
Excitation Wavelength
33%
Peak Emissions
33%
Multi-pixel
33%
Excitation-emission Matrix
33%
Temporal Fluctuations
33%
Ambient Aerosol
33%
Particle Classification
33%
False-positive Results
33%
Light Beam
33%
Spectroscopic Properties
33%
Sample Flow
33%
Detection Probability
33%
Pulsed UV Light
33%
Reagent-free
33%
Light Patterns
33%
Photodetector
33%
Recharging Time
33%
Engineering
Fluorophore
100%
Biological Aerosols
100%
Prototype Sensor
66%
Airborne Particle
66%
Scattered Light
66%
Continuous Monitoring
33%
Individual Particle
33%
Emission Peak
33%
Parameter Space
33%
Ambient Air
33%
Light Beams
33%
Size of Particle
33%
Elastic Scattering
33%
Photodetector
33%
Shapes of Particle
33%
Light Pattern
33%
Physics
Semiconductor Laser
100%
Light Beams
100%
Elastic Scattering
100%
Ambient Air
100%
Earth and Planetary Sciences
Real Time
100%
Xenon
100%
Tryptophan
50%
Elastic Scattering
50%
Ambient Air
50%
Material Science
Xenon
100%
Tryptophan
50%
Semiconductor Laser
50%
Photosensor
50%
Chemistry
UV Radiation
33%