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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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Presentation Transcript
slide1

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

slide2

Outline

Methods

Sampling

Microscopy

Data analysis

slide3

Methodology

How?

Particle Collection

Scanning Electron Microscopy

Energy Dispersive X-ray Spectroscopy

Digital Image Analysis

Data Analysis

Elemental Composition

Morphology

slide4

Outline

Methods

Sampling

Microscopy

Data analysis

slide5

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

slide6

Sampling

BCN site

CSIC data

CSIC data

slide7

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?

slide8

Outline

Methods

Sampling

Microscopy

Data analysis

slide9

Electron Emission

Electromagnetic

lenses

Scanning

coils

Signal

conversion

Signal

conversion

X-ray

detector

SE

detector

SE

detector

Pump

Methodology

Scanning Electron Microscopy

Sample

slide10

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

slide11

Outline

Methods

Sampling

Microscopy

Data analysis

slide12

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

slide13

Data Analysis

Aluminosilicates: Natural vs. Industrial origin

Soot-like agglomerates: Fresh vs. Aged

slide14

DAURE campaign

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

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