On March 15, 2014 the city of Lille, following a series of particular weather conditions, caught in a cloud of pollution. This event attracted the interest of the media and the scientific community who, immediately, carried out the air sampling in order to collect the particulate matter contained in it. Atmospheric aerosols are complex mixtures of natural and anthropogenic particles suspended in the air. With sizes ranging from a few nanometers to tens of micrometers and atmospheric residence times as long as several weeks, aerosols can affect the regional air quality as well as the global climate. Gaining insights into the chemical composition of aerosols at the level of the single particle is necessary to assess their impact on human health and climate change. However, chemical characterization of individual particles at the micrometer scale is a challenging task. To comply with this objective, confocal Raman micro-spectrometry that combines the spatial resolution of optical microscopy and the molecular analysis capabilities of Raman scattering can acquire molecular information from individual micrometer-sized aerosol particles at ambient laboratory conditions1. High spatial resolution Raman confocal microscopy technique can be applied in the analysis of heterogeneous gas-aerosol particle reactions, which are critical in atmospheric chemistry. Heterogeneous chemistry processes occur in ambient air that can increase dramatically the number of species present in each particle. Typically the condensation of gaseous pollutants and water vapor on mixed aggregates initiates the formation of complex internal mixtures of several species in one particle. The aim of this work is to extract simultaneously, from the Raman images, all spectra of pure species and their corresponding spatial distribution within the micrometer scale by using multivariate curve resolution (MCR) technique2. References: [1] Y. Batonneau, S. Sobanska, J. Laureyns, C. Bremard, Confocal Microprobe Raman Imaging of Urban Tropospheric Aerosol Particles, Environ. Sci. Technol., 40, 1300 (2006). [2] R. Tauler, Multivariate curve resolution applied to second order data, Chemometr. Intell. Lab. Syst., 30, 133 (1995).
Micro-Raman imaging for air particulate analysis
SIMONETTI, REMO;LANTERI, SILVIA;LEARDI, RICCARDO;
2014-01-01
Abstract
On March 15, 2014 the city of Lille, following a series of particular weather conditions, caught in a cloud of pollution. This event attracted the interest of the media and the scientific community who, immediately, carried out the air sampling in order to collect the particulate matter contained in it. Atmospheric aerosols are complex mixtures of natural and anthropogenic particles suspended in the air. With sizes ranging from a few nanometers to tens of micrometers and atmospheric residence times as long as several weeks, aerosols can affect the regional air quality as well as the global climate. Gaining insights into the chemical composition of aerosols at the level of the single particle is necessary to assess their impact on human health and climate change. However, chemical characterization of individual particles at the micrometer scale is a challenging task. To comply with this objective, confocal Raman micro-spectrometry that combines the spatial resolution of optical microscopy and the molecular analysis capabilities of Raman scattering can acquire molecular information from individual micrometer-sized aerosol particles at ambient laboratory conditions1. High spatial resolution Raman confocal microscopy technique can be applied in the analysis of heterogeneous gas-aerosol particle reactions, which are critical in atmospheric chemistry. Heterogeneous chemistry processes occur in ambient air that can increase dramatically the number of species present in each particle. Typically the condensation of gaseous pollutants and water vapor on mixed aggregates initiates the formation of complex internal mixtures of several species in one particle. The aim of this work is to extract simultaneously, from the Raman images, all spectra of pure species and their corresponding spatial distribution within the micrometer scale by using multivariate curve resolution (MCR) technique2. References: [1] Y. Batonneau, S. Sobanska, J. Laureyns, C. Bremard, Confocal Microprobe Raman Imaging of Urban Tropospheric Aerosol Particles, Environ. Sci. Technol., 40, 1300 (2006). [2] R. Tauler, Multivariate curve resolution applied to second order data, Chemometr. Intell. Lab. Syst., 30, 133 (1995).
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