automated particle analysis of aerosols formed during...
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Automated particle analysis of aerosols Automated particle analysis of aerosols formed during biomass combustion by formed during biomass combustion by
SEM/EDXSEM/EDXSS
DI Stefan Mitsche
Austrian Centre Austrian Centre for Electron Microscopyfor Electron Microscopyand and NanoanalysisNanoanalysis
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OverviewOverview
General information about SEM
Fundamentals of particle analysis
Principles of the automated particle analysis (APA)
APA of aerosols from biomass plants
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The Scanning electron microscopeThe Scanning electron microscopePrimary electrons (up to 30keV)
Augerelectrons (AE) Cathodoluminescence (CL)
SEM images:• Secondary electrons (SE)• Backscattered electrons (BSE)
Characteristic x-rays (EDXS)
Specimen current
Electron-specimen interaction and generated signals
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Monte Carlo simulations of electron scattering of an 100 nm particle of:left K2SO4 and right PbCl2E0 = 7 keV
Monte Carlo simulations of electron scattering of an 100 nm particle of PbCl2:left E0 = 20 keV and right E0 = 7 keV
The Scanning electron microscopeThe Scanning electron microscope
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Fundamentals of particle analysis Fundamentals of particle analysis
pure chemicals (K2SO4, PbSO4 and PbCl2) were ground in a ball mill
suspended in pure sec-butanolfiltered through a 3 µm Nucleopore filterthe filtrate was filtered through a 0.05 µm (C-
coated) Isopore poly-carbonate filter
Experimental
top: in-lens image (SEI); bottom: BSE image (BSE) PbSO4-particles
1 µm
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EDX-detector
x-ray yield
in-lens detector
BSE detector
objective lens
The Scanning electron microscopeThe Scanning electron microscope
primary electrons
Instrumentation:
Zeiss DSM 982 Gemini
Noran Voyager EDX-detector, 30 mm2 Si(Li), ultrathin window
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Fundamentals of particle analysis Fundamentals of particle analysis
Size measurement
Influence of the coating of the particles on the measured particle size
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Fundamentals of particle analysis Fundamentals of particle analysis
Size measurement
yellow: SEI-signalgreen: BSE-signalparticle: PbCl2no coatingacc. voltage: 7 keV
yellow: SI-signalgreen: BSE-signalparticle: PbCl2carbon coatingacc. voltage: 7 keV
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Fundamentals of particle analysis Fundamentals of particle analysis
Size measurement
Influence of mean atomic number of the particles on the measured particle size
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0
0.05
0.1
0.15
0.2
0.25
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4
SEI-C-coated
BSE-C-coated
SEI-uncoated
BSE-uncoated
0
0.05
0.1
0.15
0.2
0.25
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4
SEI-uncoated
average SEI-BSEC-coated
Fundamentals of particle analysis Fundamentals of particle analysis
Size measurement
average diameter / µm
freq
uenc
y
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a)
1 µm
a)
b)
X-ray analysis of biomass fly ash particle (E0 = 7 keV, Ip = 0.7 nA);a) image of particles with the analysis spot marked by a cross (SE – image)b) x-ray spectra
Fundamentals of particle analysis Fundamentals of particle analysis
Chemical composition
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K2SO4 particles: measured ratio of K (at%) / S (at%), in dependence on both the type of the substrate and the coating (spot analysis, E0 = 7 keV, Ip = 0.7 nA; spectra at 10s and 60s stored without any interruption; mean particle diameter: 400 nm)
Fundamentals of particle analysis Fundamentals of particle analysis
Chemical composition
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Fundamentals of particle analysis Fundamentals of particle analysis
Chemical composition
Automated analysis of standard particles: K2SO4 , PbSO4 and PbCl2
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Principles of Automated Particle AnalysisPrinciples of Automated Particle Analysis
binary imagesBSE image
image width 3.8 µm
SEI-image
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field1,1 beam control
stage control
field1,2
field1,n
stage control
field2,1
field2,2
field2,n
fieldi,1
fieldi,n
fieldi,2
Principles of Automated Particle AnalysisPrinciples of Automated Particle Analysis
Scheme auf the automated particle analysis procedure
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Automated Particle Analysis of aerosolsAutomated Particle Analysis of aerosols
waste wood bark
Size distribution of aerosols (fuel: waste wood, bark)
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Automated Particle Analysis of aerosolsAutomated Particle Analysis of aerosols
waste wood bark
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.70
10
20
30
40
50
60
average diameter / µm
wt% Pb
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.70
20
40
60
80
average diameter / µm
wt% K
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.70
10
20
30
40
50
60
wt% Pb
average diameter / µm
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.70
20
40
60
80
wt% K
average diameter / µm
Concentrations of Pb and K in dependence on the diameter of the aerosols (fuel: waste wood, bark)
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Automated Particle Analysis of aerosolsAutomated Particle Analysis of aerosols
waste wood bark
0 10 20 30 40 50 600
10
20
30
40
50
60
wt% Cl
wt% Pb
0 10 20 30 40 50 600
10
20
30
40
50
60
wt% S
wt% Pb
0 10 20 30 40 50 600
10
20
30
40
50
60
wt% Pb
wt% Cl
0 10 20 30 40 50 600
10
20
30
40
50
60
wt% Pb
wt% S
Correlations between various elements for aerosols (fuel: waste wood, bark)
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Automated Particle Analysis of aerosolsAutomated Particle Analysis of aerosols
waste wood bark
Correlations between various elements for aerosols (fuel: waste wood, bark)
0 20 40 60 800
20
40
60
80
wt% S
wt% K
0 20 40 60 800
20
40
60
80
wt% Cl
wt% K
0 20 40 60 800
20
40
60
80
wt% K
wt% S
0 20 40 60 800
20
40
60
80
wt% K
wt% Cl
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Automated Particle Analysis of aerosolsAutomated Particle Analysis of aerosols
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.00
100
200
300
400
500spot 1spot 2
C O
NaZn
SPb
ClK
energy / keV
counts
SE-image (image width: 0.29 µm) of an aerosol particle (left) and the EDXS – spectra (right) at the 2 spots marked in the image
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SummarySummary
If only the particle size is of interest, uncoated particles and the use of the in-lens detector is recommended.
In case of carbon coated particles the average of the sizes obtained from images of the in-lens and the BSE-detector have to be used
Automated analysis of aerosols with SEM/EDXS is possible down to particle diameters of about 50 -100 nm depending on the chemical composition