Self-modeling mixture analysis of Raman microspectrometric investigations of dust emitted by lead and zinc smelters

Y. Batonneau (1) , J. Laureyns (1) , J.C. Merlin (1) , C. Brémard (1)

1 LASIRE - Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement - UMR 8516

The application of SIMPLe-to-use Interactive Self-modeling Mixture Analysis (SIMPLISMA) is reported for analysis of huge Raman image data of dust samples collected in the vicinity of lead and zinc smelters. The Raman data were carried out using Raman microprobe and automated mapping stage at 1 μm step size over at most 80 μm×70 μm sample area for each experiment. Numerous significant pure spectra were extracted by the SIMPLISMA method. Results provide the number of major as well as minor chemical species. Concentration maps of the resolved components demonstrate the heterogeneity of individual particles at level of 1 μm spatial resolution. A discussion is given addressing the analysis aspects of SIMPLISMA and the relative merits and drawbacks of the technique in comparison with conventional analysis from two real Raman image data.

Y. Batonneau, J. Laureyns, J.C. Merlin, C. Brémard. Self-modeling mixture analysis of Raman microspectrometric investigations of dust emitted by lead and zinc smelters. Analytica Chimica Acta, 2001, 446, pp.23-37. ⟨10.1016/S0003-2670(01)00909-6⟩. ⟨hal-00279677⟩