Literature DB >> 16488185

Chemistry at level of individual aerosol particle using multivariate curve resolution of confocal Raman image.

Sophie Sobanska1, Guillaume Falgayrac, Jacky Laureyns, Claude Brémard.   

Abstract

Airborne particles with aerodynamic diameter in the 10-1 microm range have been collected in an industrial/urban zone by impaction and have been investigated by automated confocal Raman microspectrometry. The computer-microcontrolled XY scanning and Z focusing of Raman images provided many pixel Raman spectra which are characteristics of complex mixture at level of individual particle. The large heterogeneity was not resolved by the spatial resolution of the instrument which is limited by the optical diffraction. The severe spectral overlaps generated by heterogeneity were resolved by multivariate curve resolution (MCR) methods. The purity based method (SIMPLISMAX) was used to resolve both luminescence spectra and pure Raman spectra without prior information. The MCR-alternating least square (ALS) was used as a refined method of both spectra and spectral concentrations. The reconstructing Raman images of the respective spectral contribution supply a versatile potential to characterize the chemistry of atmospheric aerosols at the level of the individual particles.

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Year:  2006        PMID: 16488185     DOI: 10.1016/j.saa.2005.11.038

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  2 in total

1.  Pushing back the limits of Raman imaging by coupling super-resolution and chemometrics for aerosols characterization.

Authors:  Marc Offroy; Myriam Moreau; Sophie Sobanska; Peyman Milanfar; Ludovic Duponchel
Journal:  Sci Rep       Date:  2015-07-23       Impact factor: 4.379

2.  Characterization of Airborne Particles Collected from Car Engine Air Filters Using SEM and EDX Techniques.

Authors:  Birmania Heredia Rivera; Martín Gerardo Rodriguez
Journal:  Int J Environ Res Public Health       Date:  2016-10-01       Impact factor: 3.390

  2 in total

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