automated particle analysis of aerosols formed during...

22
Automated particle analysis of aerosols Automated particle analysis of aerosols formed during biomass combustion by formed during biomass combustion by SEM/EDX SEM/EDX S S DI Stefan Mitsche Austrian Centre Austrian Centre for Electron Microscopy for Electron Microscopy and and Nanoanalysis Nanoanalysis

Upload: others

Post on 21-Jul-2020

2 views

Category:

Documents


0 download

TRANSCRIPT

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

OverviewOverview

General information about SEM

Fundamentals of particle analysis

Principles of the automated particle analysis (APA)

APA of aerosols from biomass plants

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

Fundamentals of particle analysis Fundamentals of particle analysis

Size measurement

Influence of the coating of the particles on the measured particle size

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

Fundamentals of particle analysis Fundamentals of particle analysis

Size measurement

Influence of mean atomic number of the particles on the measured particle size

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

Fundamentals of particle analysis Fundamentals of particle analysis

Chemical composition

Automated analysis of standard particles: K2SO4 , PbSO4 and PbCl2

© ZFE / FELMI TU Graz

Principles of Automated Particle AnalysisPrinciples of Automated Particle Analysis

binary imagesBSE image

image width 3.8 µm

SEI-image

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

Automated Particle Analysis of aerosolsAutomated Particle Analysis of aerosols

waste wood bark

Size distribution of aerosols (fuel: waste wood, bark)

© ZFE / FELMI TU Graz

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)

© ZFE / FELMI TU Graz

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)

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

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

© ZFE / FELMI TU Graz

Institute for Electron Microscopy:Prof. Ferdinand Hofer

Dr. Peter PoeltDr. Mario Schmied

Institute for Resource Efficient and Sustainable Systems:Prof. Ingwald Obernberger

DI Thomas Brunner DI Markus Jöller

AcknowledgementAcknowledgement