Physical and Chemical (Raman) Characterization of Bioaerosols—pollen

Laucks, M.L.; Roll, G.; Schweiger, G.; Davis, E. James

doi:10.1016/s0021-8502(99)00058-0

Cited by 73 publications

(42 citation statements)

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“…For an ideal gas made of rigid spheres of diameter d, the viscosity is explicitly given as 7,22,37 = 5 16 ͱ m s k B T / / d 2 and p = n s k B T with the particle number density n s of the gas. Sometimes, the coefficient ϵ 15 4 k B / m s is introduced to rewrite these relationships.…”

Section: Compact Results For Grad's 13 Moment Expansionmentioning

confidence: 99%

“…Most aerosol particles are not spherical, 3,[14][15][16] and it is therefore of considerable interest to examine the effect of particle shape on phoretic motion. 17,18 In this article we will present explicit expressions for the diverse phoretic forces on dissolved ellipsoidal, cylindrical, and cuboidal tracer particles derived from forces on surface elements.…”

Section: Introductionmentioning

confidence: 99%

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Unifying kinetic approach to phoretic forces and torques onto moving and rotating convex particles

Kröger

Hütter

2006

The Journal of Chemical Physics

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We derive general expressions and present several examples for the phoretic forces and torques acting on a translationally moving and rotating convex tracer particle, usually a submicrosized aerosol particle, assumed to be small compared to the mean free path of the surrounding nonequilibrium gas. Point of departure is an expression of the stress tensor in terms of half-sphere integrals to be evaluated with the inhomogeneous velocity distribution function of the surrounding gas, more specifically, its approximation in terms of a finite number of moments. A worked out example covers Grad’s 13 moment approximation in and out of the so-called hydrodynamic approximation. We implement an accommodation coefficient characterizing the collision process in order to derive the tracer particle’s complete equations of motion in a form which offers the possibility for immediate numerical implementation, and the analytical exploration of the effect of particle shape and size on phoretic drift velocity. Explicit expressions for axisymmetric, spherical, cylindrical, and also cuboidal particles are presented, discussed, and successfully compared with the rarely available, previously treated special cases, thus supporting the unifying approach presented in this manuscript.

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Section: Compact Results For Grad's 13 Moment Expansionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unifying kinetic approach to phoretic forces and torques onto moving and rotating convex particles

Kröger

Hütter

2006

The Journal of Chemical Physics

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“…A semi-automatic system for pollen recognition and counting, based on the use of three-dimensional image processing, was proposed by Boucher et al (2002). Other approaches involve the chemical characterization of the pollen grains, performed either by means of Raman spectroscopy (Laucks and Davis 1998;Laucks et al 2000;Sengupta et al 2005) or Raman microscopy (Ivleva et al 2005). Fourier transform infrared (FT-IR) spectroscopy seems to be another useful methodology for pollen identification (Pappas et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Use of Fourier transform infrared (FT-IR) spectroscopy as a tool for pollen identification

et al. 2007

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Airborne pollen are largely studied to obtain information about the atmospheric content of natural allergens. Aerobiological monitoring networks have been established to provide reliable data that facilitate the timely initiation of preventive actions aimed at minimizing allergic symptoms. Airborne pollen are usually identified and counted using an optical microscope, but as such procedures are extremely time-consuming, more expedient options are being explored. We have assessed the potential of Fourier transform infrared (FT-IR) spectroscopy as an alternative method for the rapid and reliable identification of allergenic pollen using six well-known allergenic pollen taxa and obtaining the respective FT-IR spectra. In doing this, a first IR spectral library has been created. The spectra of unknown pollen were compared to those of the reference library, and two pollen taxa of a mixed sample were identified.

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“…Due to its impact on settling, the density of pollen grains has been measured using various techniques, such as gas and liquid pycnometers (Harrington & Metzger, 1963;Brush & Brush, 1994;Aylor, 2002), Electrodynamic balance (EDB) chamber (Laucks, Roll, Schweiger, & Davis, 2000) and measurements of settling velocities in air (Niklas, 1988). The shortcoming of using a gas pycnometer for measuring ragweed pollen density has already been discussed in detail by Harrington and Metzger (1963).…”

Section: Introductionmentioning

confidence: 99%

A method for measuring the density of irregularly shaped biological aerosols such as pollen

Hout

Katz

2004

Journal of Aerosol Science

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Physical and Chemical (Raman) Characterization of Bioaerosols—pollen

Cited by 73 publications

References 0 publications

Unifying kinetic approach to phoretic forces and torques onto moving and rotating convex particles

Unifying kinetic approach to phoretic forces and torques onto moving and rotating convex particles

Use of Fourier transform infrared (FT-IR) spectroscopy as a tool for pollen identification

A method for measuring the density of irregularly shaped biological aerosols such as pollen

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