Photon correlation spectroscopy for analysis of particle size and concentration of low concentration aerosols

Nijman, E.J.; Willemse, A.W.; Geerse, K.B.; Marijnissen, J.C.M.; Scarlett, B.

doi:10.1016/s0021-8502(98)00153-0

Cited by 3 publications

(2 citation statements)

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“…Randomly leaving a returning spores will contribute to the long-term correlations in the observed fluctuations. Photon correlation spectroscopy [25] and fluorescence correlation spectroscopy [26] (these are old photonics-based predecessors of FES) are observing the autocorrelation function of such fluctuations caused by dispersed particles in fluid and provides the value of the diffusion coefficient of the particle. Our goal is to enhance this light scattering method in both the time and the frequency domains, see Fig.…”

Section: Spore Detection By Spectral Analysis Of Noise In Light Smentioning

confidence: 99%

Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification

Kish

Chang

King

et al. 2011

IEEE Trans. Nanotechnology

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Section: Spore Detection By Spectral Analysis Of Noise In Light Smentioning

confidence: 99%

Fluctuation-Enhanced Sensing for Biological Agent Detection and Identification

Kish

Chang

King

et al. 2011

IEEE Trans. Nanotechnology

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“…They modified the ACF by replacing the beam radius with the focal radius of the incident Gaussian beam. In the 1990s, many studies of the factors that influence aerosol measurement by DLS were reported [33][34][35][36][37][38][39][40], including particle size, velocity, number concentration, etc. These studies enabled a more in-depth understanding of the effects of the measured signal's acquisition mode, the structure of the measurement device, the concentration limit of the measured particles, etc., on measurement results, and also provided a reference for subsequent measurement applications.…”

Section: Introductionmentioning

confidence: 99%

Particle size distribution measurement in a flowing aerosol using dynamic light scattering

Shen

Wang

et al. 2021

Meas. Sci. Technol.

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Simulated and experimental data were used to investigate the particle size distribution (PSD) recovery from a flowing aerosol via dynamic light scattering (DLS). It is found that, for a unimodal PSD, increasing the flow velocity leads to an increase in the error of the peak position, a decrease in the peak height and a broadening of the PSD. This is exacerbated for larger aerosol particles. For a bimodal PSD, the separation of the two peaks decreases and results in a single-peak PSD as the velocity increases. The effect of velocity on the measurement is similar to adding signal noise, which increases with the velocity. This effect is related to the measured aerosol particle size. The larger the particles, the lower the signal-to-noise ratio. By comparing DLS measurement results for flowing and non-flowing aerosol samples, it is possible to determine the maximum flow rate at which measurements can be usefully made.

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