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Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 1: Methods

机译:来自美国东南部的颗粒物质过滤器样品中的有机质和官能团 - 第1部分:方法

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Comprehensive techniques to describe the organic composition of atmospheric aerosol are needed to elucidate pollution sources, gain insights into atmospheric chemistry, and evaluate changes in air quality. Fourier transform infrared absorption (FT-IR) spectrometry can be used to characterize atmospheric organic matter (OM) and its composition via functional groups of aerosol filter samples in air monitoring networks and research campaigns. We have built FT-IR spectrometry functional group calibration models that improve upon previous work, as demonstrated by the comparison of current model results with those of previous models and other OM analysis methods. Laboratory standards that simulated the breadth of the absorbing functional groups in atmospheric OM were made: particles of relevant chemicals were first generated, collected, and analyzed. Challenges of collecting atmospherically relevant particles and spectra were addressed by including interferences of particle water and other inorganic aerosol constituents and exploring the spectral effects of intermolecular interactions. Calibration models of functional groups were then constructed using partial least-squares (PLS) regression and the collected laboratory standard data. These models were used to quantify concentrations of five organic functional groups and OM in 8?years of ambient aerosol samples from the southeastern aerosol research and characterization (SEARCH) network. The results agreed with values estimated using other methods, including thermal optical reflectance (TOR) organic carbon (OC; R2=0.74) and OM calculated as a difference between total aerosol mass and inorganic species concentrations (R2=0.82). Comparisons with previous calibration models of the same type demonstrate that this new, more complete suite of chemicals has improved our ability to estimate oxygenated functional group and overall OM concentrations. Calculated characteristic and elemental ratios including OM∕OC, O∕C, and H∕C agree with those from previous work in the southeastern US, substantiating the aerosol composition described by FT-IR calibration. The median OM∕OC ratio over all sites and years was 2.1±0.2. Further results discussing temporal and spatial trends of functional group composition within the SEARCH network will be published in a forthcoming article.
机译:描述综合技术来描述大气气溶胶的有机组成来阐明污染源,深入了解大气化学,并评估空气质量的变化。傅里叶变换红外吸收(FT-IR)光谱法可用于通过空气监测网络和研究活动中的气溶胶过滤器样品的官能团特征常压有机物(OM)及其组合物。我们已经建立了FT-IR光谱功能群体校准模型,以提高以前的工作,如前所述,通过与先前的模型和其他OM分析方法的比较来说明。制定了大气OM中吸收官能团宽度的实验室标准:首先产生,收集和分析相关化学品颗粒。通过包括颗粒水和其他无机气溶胶成分的干扰来解决收集大气相关颗粒和光谱的挑战并探索分子间相互作用的光谱效应。然后使用局部最小二乘(PLS)回归和收集的实验室标准数据来构建函数组的校准模型。这些模型用于量化来自东南部气溶胶研究和表征(搜索)网络的8年环境气溶胶样品的8年内有机官能团和OM的浓度。结果同意使用其他方法估计的值,包括热光学反射率(TOR)有机碳(OC; R2 = 0.74)和OM计算出作为总气溶胶质量和无机物质浓度的差异(R2 = 0.82)。与先前校准模型的比较相同类型证明了这种新的,更完整的化学品套件改善了估计含氧官能团和总体浓度的能力。计算的特征和元素比例包括OM / OC,O / C和H / C,同意来自美国东南部的先前工作的人,证实了FT-IR校准描述的气溶胶组合物。所有网站和年的中位数OM / OC比率为2.1±0.2。进一步的结果,将在即将到来的文章中讨论搜索网络内功能群组合的时间和空间趋势。
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