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Esther Coz 1,2 , Gary Casuccio 3 , Traci L. Lersch 3 , Teresa Moreno 2 and Begoña Artíñano 1

DAURE Microscopy. Esther Coz 1,2 , Gary Casuccio 3 , Traci L. Lersch 3 , Teresa Moreno 2 and Begoña Artíñano 1. 1 Ciemat, Madrid 2 IDAEA-CSIC, Barcelona 3 RJ Lee Inc., Pittsburgh (USA). 5th DAURE Science Meeting Barcelona, May 26. Outline. Methods. Sampling. Microscopy.

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Esther Coz 1,2 , Gary Casuccio 3 , Traci L. Lersch 3 , Teresa Moreno 2 and Begoña Artíñano 1

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  1. DAURE Microscopy Esther Coz1,2, Gary Casuccio3, Traci L. Lersch3, Teresa Moreno2 and Begoña Artíñano1 1 Ciemat, Madrid 2 IDAEA-CSIC, Barcelona 3 RJ Lee Inc., Pittsburgh (USA) 5th DAURE Science Meeting Barcelona, May 26

  2. Outline Methods Sampling Microscopy Data analysis

  3. Methodology How? Particle Collection Scanning Electron Microscopy Energy Dispersive X-ray Spectroscopy Digital Image Analysis Data Analysis Elemental Composition Morphology

  4. Outline Methods Sampling Microscopy Data analysis

  5. Sampling Particle Collection PM2.5 samples: Low-Vol sampler • Eight-stage cascade impactor (Andersen) • Period: Feb 25 – 28 • Times: 7 am, 11 am, 5 pm and 8 am • Intervals: 30 min – 2 hours PM2.5: PC filters PM2.5-10: Aluminum substrates No fiber filters

  6. Sampling BCN site CSIC data CSIC data

  7. Sampling BCN site PSI data • PM2.5 concentrations ~ 20-60 g·m-3 • Coarse to fine PM ratios: Which complementary information does electron microscopy give?

  8. Outline Methods Sampling Microscopy Data analysis

  9. Electron Emission Electromagnetic lenses Scanning coils Signal conversion Signal conversion X-ray detector SE detector SE detector Pump Methodology Scanning Electron Microscopy Sample

  10. Field 10-E4 Methodology Scanning Electron Microscopy Qualitative Analysis Quantitative Analysis High Resolution SEM (HRSEM) Fully Computer Controlled SEM (CCSEM) FEI Sirion 400 Hitachi S5000 Personal SEM (Aspex Inc.) Shape Parameters Dmax Sp1=Dp/Dmax Dmin Dmax Sp2=Dmin/Dmax Dmin AR=Dmax/D’min Dp=(4/Area)1/2

  11. Outline Methods Sampling Microscopy Data analysis

  12. Data Analysis Particle by particle (>20,000): C, O, Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, Cr, Mn, Fe, Zn, Ba, Pb Clustering Heavy Metal Oxides Ammonium Sulfate (bisulfate) PrimaryBiogenic OrganicAerosols Minerals Carbonaceous & Nitrates Iron Oxides Cluster by cluster: Ti Oxides … • Particle number, Volume and mass contribution Silicates & Aluminosilicates • Size distribution Calcium Carbonates • Associated quantitative morphology (circularity, convexity, elongation and compactness) Sulfates Non sulfate salts

  13. Data Analysis Aluminosilicates: Natural vs. Industrial origin Soot-like agglomerates: Fresh vs. Aged

  14. DAURE campaign ¡¡¡¡¡Thanks to the colleagues from Ciemat, IDEAE-CSIC & RJ Lee Group, Inc. !!!!!!!!!

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