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Quantitative Scanning Electron Microscopy Methods to Characterize Ambient Air PM 2.5 D. V. Martello, R. R. Anderson, C. M. White - NETL G. S. Casuccio, S. F. Schlaegle, - R. J. Lee Group, Inc. [email protected]

Quantitative Scanning Electron Microscopy Methods to Characterize

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Page 1: Quantitative Scanning Electron Microscopy Methods to Characterize

Quantitative Scanning Electron Microscopy Methods to

Characterize Ambient Air PM2.5

D. V. Martello, R. R. Anderson, C. M. White - NETLG. S. Casuccio, S. F. Schlaegle, - R. J. Lee Group, Inc.

[email protected]

Page 2: Quantitative Scanning Electron Microscopy Methods to Characterize

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Different Missions

• EPA – Protect the public health

• DOE – Assist the private sector in supplying clean, abundant, and affordable energy

Page 3: Quantitative Scanning Electron Microscopy Methods to Characterize

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PM2.5 Regulatory Process

• 1997 National Ambient Air Quality Standards (NAAQS) for PM2.5 based on “health effects”− Mean annual concentration < 15 µg/m3

− Maximum concentration < 65µg/ m3

Page 4: Quantitative Scanning Electron Microscopy Methods to Characterize

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Why Is DOE Concerned About PM2.5?

• Coal-based power systems contribute to PM2.5

− Primary particles:

• Ultra-fine fly-ash (Spherical Alumino-silicates,SAS), carbon soot

− Gaseous precursors:

• SO2, SO3, NOx

• React with NH3 in the atmosphere to form ammonium sulfate and ammonium nitrate particles

• SIPs will likely restrict emissions from coal power plants.

Page 5: Quantitative Scanning Electron Microscopy Methods to Characterize

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Ambient PM Monitoring and CharacterizationCurrent Project Portfolio

Upper Ohio River Valley Project (UORVP)

Southeastern Aerosol Research and Characterization Program (SEARCH)

Bravo Project

Great Smoky MountainsProject (GSMP)

Aerosol Research InhalationEpidemiology Study (ARIES)

Stuebenville Comprehensive Air Monitoring Project (SCAMP)

DOE-NETL Primary Funding

DOE-NETL Cost-sharing

NETL-PGH In-houseMonitoring Station

CMU/EPA “Supersite”

Page 6: Quantitative Scanning Electron Microscopy Methods to Characterize

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Regional Ambient PM Monitoring Sites

Coal-fired power plants

1

2

UORVP Sites- Lawrenceville

- Holbrook

- Satellites

1

2

SCAMP Sites- Primary

- Satellites

1

1

- NETL In-house site

Page 7: Quantitative Scanning Electron Microscopy Methods to Characterize

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Project Objective

• Measure the degree that coal-fired utilities contribute to the primary fine-particulate matter load in ambient air.

• Use Spherical Alumino-Silicates (SAS) as the measure of coal-fired utilities’ contribution to the primary fine-particulate matter load in ambient air.

Experimental Approach

Page 8: Quantitative Scanning Electron Microscopy Methods to Characterize

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Experimental Objectives

• Quantitatively validate the SEM methods.

− Assess comparability of polycarbonate filters to FRM teflon filters.

• Improve methods to account for most particle species on the filters.

− Identify particle species including SAS, sulfates, and carbonaceous.

Page 9: Quantitative Scanning Electron Microscopy Methods to Characterize

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Secondary Electron Image

SAS Particle

Carbon-rich Particle

Sulfur Droplet1 µm

Page 10: Quantitative Scanning Electron Microscopy Methods to Characterize

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Experimental – Sample Collection

Page 11: Quantitative Scanning Electron Microscopy Methods to Characterize

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Experimental – Sample Collection

• Andersen RAAS 400 Speciation Sampler

• Four flow channels

− One at 16.7 L/m, teflon filter for FRM comparison

− Two at 7 L/m, polycarbonate filters for SEM

− One at 16.7 L/m, ‘quartz’ filter for EC/OC

Page 12: Quantitative Scanning Electron Microscopy Methods to Characterize

ACS-222 / DVM’ / ST-10 / 8-28-2001

Experimental – Sample Collection

• Channel configurations

− 1: FRM teflon filter

− 2: Carbon denuder, Pd coated polycarbonate filter, Nylasorb filter

− 3: Carbon denuder, uncoated polycarbonate filter, Nylasorb filter

− 4: Carbon denuder, ‘quartz’ filter, carbon filter

Page 13: Quantitative Scanning Electron Microscopy Methods to Characterize

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Experimental – Sample Collection

• Pre-weigh and post-weigh filters.

• Sample SEM flow channels at 7 L/m found to produce good particle dispersion at typical 15µg/m3 ambient air loading.

• Sample ambient air for 24 hours.

• Analyze SEM filters ASAP after sampling or store particle filters under controlled conditions.

Page 14: Quantitative Scanning Electron Microscopy Methods to Characterize

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Comparison of Gravimetric Filter Loading Variation:

RAAS Polycarbonate versus FRM and RAAS Teflon versus FRM

Filter Type

Number of Filters

Avg. abs. difference,%

Standard Deviation

Polycarbonate 46 9.6 6.8

Teflon 163 5.6 6.8

Page 15: Quantitative Scanning Electron Microscopy Methods to Characterize

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Scanning Electron Microscopy (SEM)

• SEM analysis can provide both morphology and composition information for use in individual particle species determination.

Page 16: Quantitative Scanning Electron Microscopy Methods to Characterize

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Scanning Electron Microscopy (SEM)

• Image information

− Secondary Electron (SE): Morphology

− Backscattered Electron (BSE): Chemistry, Morphology

• Composition information

− X-ray (EDX/EDS): Chemistry

Page 17: Quantitative Scanning Electron Microscopy Methods to Characterize

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Secondary Electron Image

SAS Particle

Carbon-rich Particle

Sulfur Droplet1 µm

Page 18: Quantitative Scanning Electron Microscopy Methods to Characterize

ACS-222 / DVM’ / ST-10 / 8-28-2001

Backscattered Electron Image

SAS Particle

Carbon-rich Particle

Sulfur Droplet1 µm

Page 19: Quantitative Scanning Electron Microscopy Methods to Characterize

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SEM Technique Validation

• Test for uniform particle dispersion over the filter surface.

• Test for reasonable particle size distributions within measured fields.

Page 20: Quantitative Scanning Electron Microscopy Methods to Characterize

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Experimental – SEM Analysis

• Mount filters with double-sided silver tape; no filter post sampling coating with carbon or metals

• SEM conditions: 15kV; stable beam current; fixed WD

• SE image fields at 1000x; center to perimeter of filter wedge analyzed; particle ID threshold monitored

• Reference spectra used; 7 sec spectra acquisition

• Pd coated filters for carbon particle identification− C:Pd EDX ratio used for ID particle threshold

Page 21: Quantitative Scanning Electron Microscopy Methods to Characterize

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Section Location Perim. offilter

Center offilter

Area Analyzed 0.0234 mm2 0.0288 mm2

Comparison of Filter Area required to Obtain 1000 Particle Images from filter Center and filter

Perimeter

Page 22: Quantitative Scanning Electron Microscopy Methods to Characterize

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Perim.Number

%

CenterNumber

%

Perim.Volume

%

CenterVolume

%Particle TypeSAS 1.8 1.4 4.1 4.3C-rich 85.5 79.6 69.7 68.8Crustal 8.6 14.4 21.3 23.8S-rich 4.1 4.6 4.9 3.1

Comparison of Particle Species from filter Center and filter Perimeter, Excluding

Ammonium Sulfate “Blobs”

Page 23: Quantitative Scanning Electron Microscopy Methods to Characterize

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23KX 0.2 µm 33KX 0.2 µm

Secondary Electron ImagesSAS

Page 24: Quantitative Scanning Electron Microscopy Methods to Characterize

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Secondary Electron ImagesCarbon Chain Agglomerates

15KX 0.5 µm 1 µm7500X

Page 25: Quantitative Scanning Electron Microscopy Methods to Characterize

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16KX 0.5 µm 22KX 0.2 µm

Secondary Electron ImagesCrustal

Page 26: Quantitative Scanning Electron Microscopy Methods to Characterize

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Secondary Electron ImagesSulfur Deposits

15KX 0.5 µm 0.2 µm27KX

Page 27: Quantitative Scanning Electron Microscopy Methods to Characterize

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Secondary Electron ImagesPlant Material

19KX 0.2 µm 22KX 0.2 µm

Page 28: Quantitative Scanning Electron Microscopy Methods to Characterize

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Distributions - Spherical ParticlesAll Quads, Aspect < 1.5, - 2198 Particles

0

50

100

150

200

250

300

350

400

0.20

0.44

0.68

0.92

1.16

1.40

1.64

1.88

2.12

2.36

2.60

2.84

3.08

3.32

3.56

3.80

Average Diameter, um

# o

f P

arti

cles

All Quads, Aspect <1.5, Si>0, 948 Particles

0

50

100

150

200

250

0.20

0.45

0.69

0.94

1.18

1.43

1.67

1.92

2.16

2.41

2.65

2.90

3.14

3.39

3.63

3.88

Average Diameter, um

# of

Par

ticle

s

All Quads, Aspect < 1.5, Si=0, S>0,1065 Particles

0

50

100

150

200

250

300

0.20

0.39

0.59

0.78

0.97

1.16

1.36

1.55

1.74

1.94

2.13

2.32

2.51

2.71

2.90

3.09

3.28

Average Diameter, um

# of

Par

ticle

s

All Quads, Aspect < 1.5, Si=0, S=0,185 Particles

05

101520253035404550

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

1.00

1.10

1.20

1.30

1.40

1.50

Average Diameter, um

# o

f P

artic

les

From “Quantitative Scanning Electron Microscopy of Ambient Air 2.5µm Particles Using”, Air Quality II Conference, McLean, Virginia, September 19-21, 2000.

Page 29: Quantitative Scanning Electron Microscopy Methods to Characterize

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Non-spherical ParticlesAll Quads, Aspect >= 1.5, Si>0,

2166 Particles

0

100

200

300

400

500

600

0.20

0.50

0.81

1.11

1.41

1.71

2.02

2.32

2.62

2.93

3.23

3.53

3.83

4.14

4.44

4.74

Average Diameter, um

# of

Par

ticle

s

All Quads, Aspect >= 1.5, Si=0, S>0,2533 Particles

0

100

200

300

400

500

600

700

0.20

0.56

0.91

1.27

1.62

1.98

2.33

2.69

3.04

3.40

3.75

4.11

4.46

Average Diameter, um

# of

Par

ticle

s

All Quads, Aspect >= 1.5, Si=0, S=0,382 Particles

0

50

100

150

200

250

300

0.20

0.39

0.59

0.78

0.97

1.16

1.36

1.55

1.74

1.94

2.13

2.32

2.51

2.71

2.90

3.09

3.28

Average Diameter, um

# of

Par

ticle

s

All Quads, Aspect >= 1.5, - 5081 Particles

0100200300400500600700800900

1000

0.20

0.53

0.85

1.18

1.51

1.84

2.16

2.49

2.82

3.14

3.47

3.80

4.12

4.45

4.78

Average Diameter, um

# of

Par

ticle

s

From “Quantitative Scanning Electron Microscopy of Ambient Air 2.5µm Particles Using”, Air Quality II Conference, McLean, Virginia, September 19-21, 2000.

Page 30: Quantitative Scanning Electron Microscopy Methods to Characterize

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Sample Start Date

24 Hour FRM ug/m3

SEM Ammonium

Sulfate

SEM Carbon

Particles

SEM All Crustal Particle Types

SEM Spherical Alumino-Silicates

SEM Crustal

SEM Ca/S Rich

SEM Fe Rich

Spheres

SEM Metal Oxide

Particles

SEM Misc.

Particles

08/06/00 20.8 9.77 5.97 5.06 0.87 3.79 0.30 0.06 0.02 0.03 08/08/00 23.4 13.95 4.93 4.51 0.24 3.67 0.51 0.00 0.01 0.07 08/10/00 15.7 7.94 6.34 1.37 0.03 0.92 0.00 0.09 0.30 0.03 08/12/00 7.6 2.08 3.57 1.95 0.09 1.10 0.07 0.09 0.39 0.21 08/14/00 17.8 9.07 6.20 2.53 0.08 2.04 0.03 0.22 0.15 0.01 08/16/00 9.5 4.76 2.72 2.02 0.26 0.60 0.67 0.00 0.37 0.13 08/18/00 14.0 8.17 3.66 2.17 0.07 1.17 0.41 0.22 0.24 0.07

Analysis ResultsFRM and SEM particle class data

normalized to µg/m3

FRM and SEM particle class data normalized to µg/m3 (SEM particle class volume fraction x daily FRM). SEM data normalized to IC ammonium sulfate analysis. From “Quantitative Analysis of Ambient Air 2.5µm Particles Using Scanning Electron Microscopy”, 11th International Conference on Coal Science, San Francisco, Oct. 2001.

Page 31: Quantitative Scanning Electron Microscopy Methods to Characterize

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Carbon Values

0.000

1.000

2.000

3.000

4.000

5.000

6.000

7.000

8.000

0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.00

R&P 5400 Total Carbon ug/m3

CC

SEM

Car

bon

ug/m

3R&P Carbon versus SEM Carbon

From “Quantitative Analysis of Ambient Air 2.5µm Particles Using Scanning Electron Microscopy”, 11th International Conference on Coal Science, San Francisco, Oct. 2001.

Page 32: Quantitative Scanning Electron Microscopy Methods to Characterize

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Conclusions

• SEM sampling methodology is reasonably comparable to the FRM, based on ug/m3 filter loading.

• The SEM technique provides satisfactory results to continue the method development.

• Although the methodology may be subject to improvement, it is of sufficient quality to apply it to the comparative measurement of SAS particles in a more comprehensive study.

Page 33: Quantitative Scanning Electron Microscopy Methods to Characterize

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Future Work

• Correlate the SEM results with bulk analyses of companion filters.

• Analyze more filters to develop statistics on distributional analysis of particle classes.

• Use the palladium coating as an internal standard for quantifying the particle species.

• Revisit uncoated filters (check validity of calculating carbon by difference).

Page 34: Quantitative Scanning Electron Microscopy Methods to Characterize

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Acknowledgements

• Dr. Elias J. George – NETL Environmental Safety and Health Division

• Traci Lersch – R.J. Lee Group

• The other PM2.5 Sampling and Analysis team

members

• Mr. Thomas J. Feeley – Product Manager: Environmental and Water Resources, NETL