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.

中文翻译：

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豚草、白蜡、桦树和松花粉散射矩阵对花粉分类的实验室评价

摘要。如今，花粉被认为是影响公众健康和地球气候的主要大气颗粒之一。在这种情况下，一个重要的问题涉及我们检测和区分现有花粉类群的能力。在本文中，在散射矩阵形式主义的框架内同时在两个波长（532 和 1064 nm ）。有趣的是，我们实验室的实验误差条足够精确，可以表明这四种花粉在嵌入环境空气中时，表现出不同的光谱和偏振光散射特性，以十个散射矩阵元素（每个波长五个）的形式，可以识别每个分别地。P C) 分析，仍然占观察到的方差的 99% 以上。因此，我们相信这项工作可能为未来的大气花粉检测开辟新的见解。