研究目的
To develop a low-cost instrument capable of characterizing fluorescence and scattering spectra from individual aerosol particles on a substrate, with applications in detecting biological aerosols such as pollen and mold spores.
研究成果
The developed instrument provides a cost-effective means to characterize fluorescence and elastic scattering spectra of individual aerosol particles. It enables rapid estimation of fluorescent particle fractions and has potential applications in bioaerosol detection, including pollen and mold spore monitoring. The smartphone version offers portability and the possibility for widespread data collection through citizen science.
研究不足
The technique is limited by particle density on the slide to avoid spectral overlap. Spectral resolution is influenced by particle size and homogeneity. The method is currently optimized for supermicron-sized particles, though it can be adapted for smaller particles with higher magnification.
1:Experimental Design and Method Selection:
The instrument is based on a slitless spectroscope principle, adapted for atmospheric particles. It uses a microscope slide as a substrate for particle collection and employs either a 405 nm diode laser or a UV LED for fluorescence excitation, and a white-light source for elastic scattering spectra.
2:Sample Selection and Data Sources:
Particles are collected on a microscope slide, either through natural settling or aerosolization. Examples include paper mulberry pollen and ground optical fused silica particles.
3:List of Experimental Equipment and Materials:
Includes a compound microscope, diode lasers (405 nm, 650 nm), UV LED, tungsten filament bulb, transmission diffraction grating (300 grooves mm?1), long-pass blocking filters, and cameras (color and black-and-white).
4:Experimental Procedures and Operational Workflow:
Particles are illuminated under dark field conditions. The camera arm is adjusted to capture spectral swaths at specific diffraction angles. Fluorescence and elastic scattering images are acquired and analyzed.
5:Data Analysis Methods:
Spectral data are processed using Image J for intensity vs. wavelength analysis, with calibration using known laser wavelengths.
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