Intercomparison of Multiple UV-LIF Spectrometers Using the Aerosol Challenge Simulator
Intercomparison of Multiple UV-LIF Spectrometers Using the Aerosol Challenge Simulator
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DOI：
10.3390/atmos10120797
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发表时间：
2019-12-01
期刊：
影响因子：
2.9
通讯作者：
Topping, David
中科院分区：
文献类型：
--
作者：
Forde, Elizabeth;Gallagher, Martin;Topping, David
世界范围内已使用紫外光诱导荧光 (UV-LIF) 光谱仪对初级生物气溶胶颗粒 (PBAP) 进行了测量。然而，由于实验室比较有限，这些仪器如何检测和响应已知的生物和非生物颗粒以及如何比较它们仍然不确定。使用国防科学和技术实验室的气溶胶挑战模拟器（ACS），控制生物和非生物气溶胶颗粒（单独或混合物）的浓度，用于测试和比较多个版本的宽带集成生物气溶胶光谱仪（WIBS）和多参数生物气溶胶光谱仪（MBS）。尽管结果表明在同一 UV-LIF 仪器的不同版本之间区分生物颗粒类型存在一些挑战，但对于大多数仪器来说，可以识别非生物样品和生物样品之间的荧光强度差异。虽然 MBS 检测到的荧光颗粒浓度较低，但 MBS 证明了区分花粉和其他生物颗粒的潜力。本研究首次发表了技术总结以及 ACS 在仪器比对中的应用。在这项工作中，还提供了数据预处理的清晰概述，并建议记录仪器版本/型号，以评估同一仪器不同版本之间潜在的仪器差异。建议在量化对环境分类的影响之前，对不同颗粒类型进行进一步的实验室研究。
Measurements of primary biological aerosol particles (PBAPs) have been conducted worldwide using ultraviolet light-induced fluorescence (UV-LIF) spectrometers. However, how these instruments detect and respond to known biological and non-biological particles, and how they compare, remains uncertain due to limited laboratory intercomparisons. Using the Defence Science and Technology Laboratory, Aerosol Challenge Simulator (ACS), controlled concentrations of biological and non-biological aerosol particles, singly or as mixtures, were produced for testing and intercomparison of multiple versions of the Wideband Integrated Bioaerosol Spectrometer (WIBS) and Multiparameter Bioaerosol Spectrometer (MBS). Although the results suggest some challenges in discriminating biological particle types across different versions of the same UV-LIF instrument, a difference in fluorescence intensity between the non-biological and biological samples could be identified for most instruments. While lower concentrations of fluorescent particles were detected by the MBS, the MBS demonstrates the potential to discriminate between pollen and other biological particles. This study presents the first published technical summary and use of the ACS for instrument intercomparisons. Within this work a clear overview of the data pre-processing is also presented, and documentation of instrument version/model numbers is suggested to assess potential instrument variations between different versions of the same instrument. Further laboratory studies sampling different particle types are suggested before use in quantifying impact on ambient classification.