Preprints
https://doi.org/10.5194/amt-2021-272
https://doi.org/10.5194/amt-2021-272

  21 Sep 2021

21 Sep 2021

Review status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollens towards pollen classification

Danaël Cholleton1,2, Émilie Bialic2, Antoine Dumas2, Pascal Kaluzny2, Patrick Rairoux1, and Alain Miffre1 Danaël Cholleton et al.
  • 1University of Lyon, Université Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, F-69622, VILLEURBANNE, France
  • 2TERA Sensor, ZI Rousset, 296 Avenue Georges Vacher, 13790, Rousset, France

Abstract. Pollens are nowadays recognized as one of the main atmospheric particles affecting public human health as well as the Earth's climate. In this context, an important issue concerns our ability to detect and differentiate among the existing pollen taxa. In this paper, the potential differences that may exist in light scattering by four of the most common pollen taxa, namely ragweed, birch, pine and ash, are analysed in the framework of the scattering matrix formalism at two wavelengths simultaneously (532 and 1064 nm). Interestingly, our laboratory experimental error bars are precise enough to show that these four pollens, when embedded in ambient air, exhibit different spectral and polarimetric light scattering characteristics, in the form of ten scattering matrix elements (five per wavelength), which allow identifying each separately. To end with, a simpler light scattering criterion is proposed for classifying among the four considered pollens by performing a principal component (PC) analysis, that still accounts for more than 99 % of the observed variance. We thus believe this work may open new insights for future atmospheric pollen detection.

Danaël Cholleton et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-272', Anonymous Referee #1, 18 Oct 2021
    • AC1: 'Reply on RC1', Alain Miffre, 10 Dec 2021
  • RC2: 'Comment on amt-2021-272', Anonymous Referee #2, 05 Nov 2021
    • AC2: 'Reply on RC2', Alain Miffre, 10 Dec 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-272', Anonymous Referee #1, 18 Oct 2021
    • AC1: 'Reply on RC1', Alain Miffre, 10 Dec 2021
  • RC2: 'Comment on amt-2021-272', Anonymous Referee #2, 05 Nov 2021
    • AC2: 'Reply on RC2', Alain Miffre, 10 Dec 2021

Danaël Cholleton et al.

Danaël Cholleton et al.

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Short summary
While pollen impact public health and the Earth's climate, the identification of each pollen taxon remains challenging. In this context, a laboratory evaluation of the polarimetric light scattering characteristics of ragweed, ash, birch and pine pollens, when embedded in ambient air, is here performed at two wavelengths. Interestingly, the achieved precision on the retrieved scattering matrix elements allows identifying unequivocal light scattering characteristics of each studied taxon.