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Federico Karagulian highlights
Environmental chemistry
 Heterogeneous chemistry
(interaction of pollutants with
airborne substrates)
Techniques:
mass spectroscopy; laser and infra-red
techniques; gas synthesis; surfaces
characterization; photochemistry

Swiss Federal Institute of Technology
(Switzerland)
University of California Irvine (USA)

Environmental impact of pollution
 Personal exposure to Particulate matter (PM) at
ambient conditions
 Investigation of the inkjet paper fading due to
gaseous pollutants
Techniques:
nephelometers; surface characterizations

European Commission (Joint
Research Centre, Italy)
ILFORD Imaging Switzerland GmbH

Solid base to build
research projects
Satellite remote sensing
 Retrieval of pollutant concentrations from space
Techniques:
Infrared spectra elaboration with Matlab
programming; gridding algorithms

Université Libre de Bruxelles,
Belgium
(European Space Agency)

Data analysis and modeling
 Application of Receptor Models to identify pollution
sources (implementation in the Air Quality Directive)
 Statistical analysis (complex datasets)
 Intercomparison data analysis
 Global mapping of statistical results
Techniques:
matrix factorization; generalized
linear models, R-programming;
ArcGis, QGIS

European Commission (JRC, Italy)
Uptake of atmospheric gases on airborne substrates
Ecole Polytechnique Fédérale de Lausanne (Switzerland)
The experiment:

The assumption:

O3
NO
NO22

“Knudsen” flow reactor:
Gas-surface collisions

N2O5

HO2

NO
NO
DUST

SO2

HNO3
OH
OH

Laser
Mineral dust sample

NO3

Mass Spectrometer

The chemical reactions:

NO • + NO 2(g)
3(g)

Mineral
dust

N 2 O 5(ads)

N 2 O 5(g)

N 2 O 5(ads) + H 2 O (ads)

First time
observation!!!

2HNO3(g)

The consequences:

Influence on the global ozone levels!!!
Impact on climate change!!!

F. Karagulian and M. J. Rossi, PCCP, 2005
F. Karagulian and M. J. Rossi, ACP 2006
Formation of toxic compounds in human lungs
University of California Irvine (USA)

The assumption:

O3

+

(Ozone)

OPPC

SOZ

(substance presents
in human lungs)

Secondary ozonide (SOZ)
toxic and stable

The chemical reaction:
1.5x10

-2

2948

0

3008
3050

3000

2950

1385

(-CH2-)

(-CH2-)

-3

-10x10

3100

2850

2919

(C=C)

1.0

1110

(-CH3-)

5

-5

absorbance

Used sodium chloride (NaCl)
as medium for the reaction of
OPPC and ozone

absorbance

The experiment:

2900

-1

wavenumber (cm )

2850

(O-C-H)
2800

2750

t

1347
(C-H)

0.5

1751
(R-COOH)

1708
(R-CHO)

1210

0.0
1800

(Diffuse Reflectance IR Spectroscopy)

1600
1400
1200
-1
wavenumber (cm )

1000

(Karagulian et al,PCCP, 2008)
Uptake of atmospheric gases on airborne substrates and human lungs
Ecole Polytechnique Fédérale de Lausanne (Switzerland)
University of California Irvine (USA)

The assumption:

The experiment:

The chemical reaction:

trace gases uptaken
on mineral dusts

NO
NO

DUST

SO2

HNO3
OH
OH

Mineral
dust

N2O5

NO3

Laser

Mass Spectrometer

The assumption:

secondary
gaseous products

Change in the global
ozone budget in the atmosphere

Mineral dust sample
“Knudsen” flow reactor:
Gas-surface collisions

The experiment:

The chemical reaction:

Used sodium chloride (NaCl) as medium
for the reaction of OPPC and ozone

-2

1.5x10

OPPC
(substance presents
in human lungs)

1110

(-CH3-)

0

3008

-5

3050

3000

2950

1385

(-CH2-)

(-CH2-)

-3

-10x10

3100

2850

2919

(C=C)

1.0

Secondary ozonide (SOZ)
toxic and stable

2948
5

absorbance

NO2
2

HO2

absorbance

O3

trace gases

2900

-1

wavenumber (cm )

2850

(O-C-H)
2800

2750

t

1347
(C-H)

0.5

1751
(R-COOH)

1708
(R-CHO)

1210

0.0

(Diffuse Reflectance IR Spectroscopy)

1800

1600
1400
1200
-1
wavenumber (cm )

(Karagulian et al,PCCP, 2008)

1000

F. Karagulian and M. J. Rossi, PCCP, 2005
F. Karagulian and M. J. Rossi, ACP 2006
Satellite remote sensing
Université Libre de Bruxelles (Belgium)

(http://www.eumetsat.int)

Moni
t or i n g
infrar pollutan
t
ed IA
SI/Me s using the
r
tO P s
ound mal
er

SO2 (sulphuric dioxide) plume
formation from volcanic eruption
and transport

Formic acid formation (HCOOH) from biogenic sources
and anthropogenic activites (1 year average, 2009)
HCOOH column (1014 molec./cm2)

H2SO4 formation upon
Kasatochi volcano eruption
(August 2008)
Cooling effect

Karagulian F. et al. JGR 2010
Razavi A. Et Karagulian al. ACP, 2011
Modeling environmental data

Receptor modeling for source
apportionment studies

INPUT DATA: Concentration (xij)of chemical
Species measured a the receptor site

Polluted area

Receptor site
(measuring site)

xij =

P

∑g f

ik kj

+ eij

Composition of factor (fkj)profiles

Receptor p =1
modeling

STATISTICAL analysis with
R, Matlab and SQL Server

Time trend (gik)of factor profiles
Geographical information System (GIS)
for monitoring pollutant factors/sources
Main pollutant sources from particualte matter
sampling PM10 in urban areas (2000-2011),
validated model reuslts

ArcGIS-SQL
Sea Salt
Traffic
SIA
Residential

STATISTICAL analysis with
R, Matlab and SQL Server
Proficiency
tests

Crustal
Industry, power plants
Biomass Burning
Other

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Karagulian Highlights

  • 1. Federico Karagulian highlights Environmental chemistry  Heterogeneous chemistry (interaction of pollutants with airborne substrates) Techniques: mass spectroscopy; laser and infra-red techniques; gas synthesis; surfaces characterization; photochemistry Swiss Federal Institute of Technology (Switzerland) University of California Irvine (USA) Environmental impact of pollution  Personal exposure to Particulate matter (PM) at ambient conditions  Investigation of the inkjet paper fading due to gaseous pollutants Techniques: nephelometers; surface characterizations European Commission (Joint Research Centre, Italy) ILFORD Imaging Switzerland GmbH Solid base to build research projects Satellite remote sensing  Retrieval of pollutant concentrations from space Techniques: Infrared spectra elaboration with Matlab programming; gridding algorithms Université Libre de Bruxelles, Belgium (European Space Agency) Data analysis and modeling  Application of Receptor Models to identify pollution sources (implementation in the Air Quality Directive)  Statistical analysis (complex datasets)  Intercomparison data analysis  Global mapping of statistical results Techniques: matrix factorization; generalized linear models, R-programming; ArcGis, QGIS European Commission (JRC, Italy)
  • 2. Uptake of atmospheric gases on airborne substrates Ecole Polytechnique Fédérale de Lausanne (Switzerland) The experiment: The assumption: O3 NO NO22 “Knudsen” flow reactor: Gas-surface collisions N2O5 HO2 NO NO DUST SO2 HNO3 OH OH Laser Mineral dust sample NO3 Mass Spectrometer The chemical reactions: NO • + NO 2(g) 3(g) Mineral dust N 2 O 5(ads) N 2 O 5(g) N 2 O 5(ads) + H 2 O (ads) First time observation!!! 2HNO3(g) The consequences: Influence on the global ozone levels!!! Impact on climate change!!! F. Karagulian and M. J. Rossi, PCCP, 2005 F. Karagulian and M. J. Rossi, ACP 2006
  • 3. Formation of toxic compounds in human lungs University of California Irvine (USA) The assumption: O3 + (Ozone) OPPC SOZ (substance presents in human lungs) Secondary ozonide (SOZ) toxic and stable The chemical reaction: 1.5x10 -2 2948 0 3008 3050 3000 2950 1385 (-CH2-) (-CH2-) -3 -10x10 3100 2850 2919 (C=C) 1.0 1110 (-CH3-) 5 -5 absorbance Used sodium chloride (NaCl) as medium for the reaction of OPPC and ozone absorbance The experiment: 2900 -1 wavenumber (cm ) 2850 (O-C-H) 2800 2750 t 1347 (C-H) 0.5 1751 (R-COOH) 1708 (R-CHO) 1210 0.0 1800 (Diffuse Reflectance IR Spectroscopy) 1600 1400 1200 -1 wavenumber (cm ) 1000 (Karagulian et al,PCCP, 2008)
  • 4. Uptake of atmospheric gases on airborne substrates and human lungs Ecole Polytechnique Fédérale de Lausanne (Switzerland) University of California Irvine (USA) The assumption: The experiment: The chemical reaction: trace gases uptaken on mineral dusts NO NO DUST SO2 HNO3 OH OH Mineral dust N2O5 NO3 Laser Mass Spectrometer The assumption: secondary gaseous products Change in the global ozone budget in the atmosphere Mineral dust sample “Knudsen” flow reactor: Gas-surface collisions The experiment: The chemical reaction: Used sodium chloride (NaCl) as medium for the reaction of OPPC and ozone -2 1.5x10 OPPC (substance presents in human lungs) 1110 (-CH3-) 0 3008 -5 3050 3000 2950 1385 (-CH2-) (-CH2-) -3 -10x10 3100 2850 2919 (C=C) 1.0 Secondary ozonide (SOZ) toxic and stable 2948 5 absorbance NO2 2 HO2 absorbance O3 trace gases 2900 -1 wavenumber (cm ) 2850 (O-C-H) 2800 2750 t 1347 (C-H) 0.5 1751 (R-COOH) 1708 (R-CHO) 1210 0.0 (Diffuse Reflectance IR Spectroscopy) 1800 1600 1400 1200 -1 wavenumber (cm ) (Karagulian et al,PCCP, 2008) 1000 F. Karagulian and M. J. Rossi, PCCP, 2005 F. Karagulian and M. J. Rossi, ACP 2006
  • 5. Satellite remote sensing Université Libre de Bruxelles (Belgium) (http://www.eumetsat.int) Moni t or i n g infrar pollutan t ed IA SI/Me s using the r tO P s ound mal er SO2 (sulphuric dioxide) plume formation from volcanic eruption and transport Formic acid formation (HCOOH) from biogenic sources and anthropogenic activites (1 year average, 2009) HCOOH column (1014 molec./cm2) H2SO4 formation upon Kasatochi volcano eruption (August 2008) Cooling effect Karagulian F. et al. JGR 2010 Razavi A. Et Karagulian al. ACP, 2011
  • 6. Modeling environmental data Receptor modeling for source apportionment studies INPUT DATA: Concentration (xij)of chemical Species measured a the receptor site Polluted area Receptor site (measuring site) xij = P ∑g f ik kj + eij Composition of factor (fkj)profiles Receptor p =1 modeling STATISTICAL analysis with R, Matlab and SQL Server Time trend (gik)of factor profiles
  • 7. Geographical information System (GIS) for monitoring pollutant factors/sources Main pollutant sources from particualte matter sampling PM10 in urban areas (2000-2011), validated model reuslts ArcGIS-SQL Sea Salt Traffic SIA Residential STATISTICAL analysis with R, Matlab and SQL Server Proficiency tests Crustal Industry, power plants Biomass Burning Other