Estimating mean molecular weight, carbon number, and OM?OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network

نویسندگان

چکیده

Abstract. Organic matter (OM) is a major constituent of fine particulate matter, which contributes significantly to degradation visibility and radiative forcing, causes adverse health effects. However, due its sheer compositional complexity, OM difficult characterize in entirety. Mid-infrared spectroscopy has previously proven useful the study by providing extensive information about functional group composition with high mass recovery. Herein, we introduce new method for obtaining additional characteristics such as mean carbon number molecular weight these complex organic mixtures using aliphatic C?H absorbance profile mid-infrared spectrum. We apply this technique spectra acquired non-destructively from Teflon filters used quantification at selected sites Inter-agency Monitoring PROtected Visual Environments (IMPROVE) network. Since are important recent conceptual models describe evolution composition, can provide semi-quantitative, observational constraints variables scale For task, multivariate statistical trained on calibration prepared atmospherically relevant laboratory standards applied ambient samples. Then, physical basis linking relatively narrow region spectrum structure investigated classification approach. The predict that consistent previous values organic-mass-to-organic-carbon (OM/OC) ratios estimated network different approaches. results also temporal spatial variations quantities associated aging processes source classes (anthropogenic, biogenic, burning sources). instance, estimate higher urban samples smaller, more fragmented molecules substantial anticipated.

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ژورنال

عنوان ژورنال: Atmospheric Measurement Techniques

سال: 2021

ISSN: ['1867-1381', '1867-8548']

DOI: https://doi.org/10.5194/amt-14-4805-2021