of 6
Rapid growth of organic aerosol nanoparticles over a
wide tropospheric temperature range
Dominik Stolzenburg
a
, Lukas Fischer
b
, Alexander L. Vogel
c,d,e
, Martin Heinritzi
c
, Meredith Schervish
f
, Mario Simon
c
,
Andrea C. Wagner
c
, Lubna Dada
g
, Lauri R. Ahonen
g
, Antonio Amorim
h,i
, Andrea Baccarini
e
, Paulus S. Bauer
a
,
Bernhard Baumgartner
a
, Anton Bergen
c
, Federico Bianchi
g
, Martin Breitenlechner
b,j,k
, Sophia Brilke
a
,
Stephany Buenrostro Mazon
g
, Dexian Chen
f
, Ant
́
onio Dias
d,h,i
, Danielle C. Draper
l
, Jonathan Duplissy
g
, Imad El Haddad
e
,
Henning Finkenzeller
m
, Carla Frege
e
, Claudia Fuchs
e
, Olga Garmash
g
, Hamish Gordon
d,n
, Xucheng He
g
, Johanna Helm
c
,
Victoria Hofbauer
f
, Christopher R. Hoyle
o
, Changhyuk Kim
p,q
, Jasper Kirkby
c,d
, Jenni Kontkanen
g
, Andreas K
̈
urten
c
,
Janne Lampilahti
g
, Michael Lawler
l
, Katrianne Lehtipalo
g
, Markus Leiminger
b
, Huajun Mai
p
, Serge Mathot
d
,
Bernhard Mentler
b
, Ugo Molteni
e
, Wei Nie
r
, Tuomo Nieminen
s
, John B. Nowak
t
, Andrea Ojdanic
a
, Antti Onnela
d
,
Monica Passananti
g
, Tuukka Pet
̈
aj
̈
a
g
, Lauriane L. J. Qu
́
el
́
ever
g
, Matti P. Rissanen
g
, Nina Sarnela
g
, Simon Schallhart
g,u
,
Christian Tauber
a
, Ant
́
onio Tom
́
e
v
, Robert Wagner
g
, Mingyi Wang
f
, Lena Weitz
c
, Daniela Wimmer
g
, Mao Xiao
e
,
Chao Yan
f
, Penglin Ye
f,t
, Qiaozhi Zha
g
, Urs Baltensperger
e
, Joachim Curtius
c
, Josef Dommen
e
, Richard C. Flagan
p
,
Markku Kulmala
g,w
, James N. Smith
l
, Douglas R. Worsnop
g,t
, Armin Hansel
b,x
, Neil M. Donahue
f
,
and Paul M. Winkler
a,1
a
Faculty of Physics, University of Vienna, 1090 Vienna, Austria;
b
Institute for Ion Physics and Applied Physics, University of Innsbruck, 6020 Innsbruck,
Austria;
c
Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany;
d
CERN, the European
Organization for Nuclear Research, 1211 Geneva, Switzerland;
e
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland;
f
Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA 15213;
g
Institute for Atmospheric and Earth System Research/Physics,
Faculty of Science, University of Helsinki, 00014 Helsinki, Finland;
h
Centro Multidisciplinar de Astrof
́
ısica, University of Lisbon, 1749-016 Lisbon, Portugal;
i
Faculdade de Ci
ˆ
encias da Universidade de Lisboa, University of Lisbon, 1749-016 Lisbon, Portugal;
j
John A. Paulson School of Engineering and Applied
Sciences, Harvard University, Cambridge, MA 02138;
k
Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138;
l
Department of Chemistry, University of California, Irvine, CA 92697;
m
Department of Chemistry and Biochemistry, University of Colorado Boulder, Boulder,
CO 80309;
n
School of Earth and Environment, University of Leeds, LS2 9JT Leeds, United Kingdom;
o
Institute for Atmospheric and Climate Science, ETH
Zurich, 8092 Zurich, Switzerland;
p
Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125;
q
Department of
Environmental Engineering, Pusan National University, 46241 Busan, Republic of Korea;
r
Joint International Research Laboratory of Atmospheric and Earth
System Sciences, Nanjing University, 210023 Nanjing, China;
s
Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, Finland;
t
Aerodyne Research Inc., Billerica, MA 01821;
u
Finnish Meteorological Institute, 00101 Helsinki, Finland;
v
Institute Infante Dom Lu
́
ız, University of Beira
Interior, 6200 Covilh
̃
a, Portugal;
w
Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing
University of Chemical Technology, Beijing, China; and
x
Ionicon Analytik GmbH, 6020 Innsbruck, Austria
Edited by John H. Seinfeld, California Institute of Technology, Pasadena, CA, and approved July 30, 2018 (received for review May 3, 2018)
Nucleation and growth of aerosol particles from atmospheric
vapors constitutes a major source of global cloud condensa-
tion nuclei (CCN). The fraction of newly formed particles that
reaches CCN sizes is highly sensitive to particle growth rates,
especially for particle sizes
<
10 nm, where coagulation losses
to larger aerosol particles are greatest. Recent results show that
some oxidation products from biogenic volatile organic com-
pounds are major contributors to particle formation and initial
growth. However, whether oxidized organics contribute to par-
ticle growth over the broad span of tropospheric temperatures
remains an open question, and quantitative mass balance for
organic growth has yet to be demonstrated at any temperature.
Here, in experiments performed under atmospheric conditions in
the Cosmics Leaving Outdoor Droplets (CLOUD) chamber at the
European Organization for Nuclear Research (CERN), we show
that rapid growth of organic particles occurs over the range from
25
C to 25
C. The lower extent of autoxidation at reduced
temperatures is compensated by the decreased volatility of all
oxidized molecules. This is confirmed by particle-phase composi-
tion measurements, showing enhanced uptake of relatively less
oxygenated products at cold temperatures. We can reproduce the
measured growth rates using an aerosol growth model based
entirely on the experimentally measured gas-phase spectra of
oxidized organic molecules obtained from two complementary
mass spectrometers. We show that the growth rates are sen-
sitive to particle curvature, explaining widespread atmospheric
observations that particle growth rates increase in the single-
digit-nanometer size range. Our results demonstrate that organic
vapors can contribute to particle growth over a wide range of
tropospheric temperatures from molecular cluster sizes onward.
aerosols
|
nanoparticle growth
|
aerosol formation
|
CLOUD experiment
|
volatile organic compounds
T
he global budget of cloud condensation nuclei (CCN) signif-
icantly influences the Earth’s radiative balance, as it affects
the albedo and the lifetime of clouds. New particle formation
by gas-to-particle conversion is the largest source of CCN (1).
Especially the early steps of particle growth between 1 and
10 nm determine the survival chance of freshly formed parti-
cles and therefore their climatic relevance (2, 3). The major
vapors driving particle growth are sulfuric acid and, maybe more
importantly, low-volatility organics resulting from the oxidation
of volatile organic compounds (VOCs) (4). Monoterpenes are
an important class of atmospheric VOCs with copious emissions
from vegetation (5). They are quickly oxidized in the atmo-
sphere and, through a subsequent autoxidation process, rapidly
Author contributions: D.S., L.F., A.L.V., H.G., J. Kirkby, A. Onnela, U.B., J.C., J. Dommen,
R.C.F., M.K., D.R.W., A.H., N.M.D., and P.M.W. designed research; D.S., L.F., A.L.V., M.H.,
M. Simon, A.C.W., L.D., L.R.A., A.A., A. Baccarini, P.S.B., B.B., A. Bergen, F.B., M.B., S.B.,
S.B.M., D.C., A.D., D.C.D., J. Duplissy, I.E.H., H.F., C. Frege, C. Fuchs, O.G., H.G., X.H.,
J.H., V.H., C.R.H., C.K., J. Kirkby, J. Kontkanen, A.K., J.L., M. Lawler, K.L., M. Leiminger,
H.M., S.M., B.M., U.M., W.N., T.N., J.B.N., A. Ojdanic, A. Onnela, M.P., T.P., L.L.J.Q.,
M.P.R., N.S., S.S., C.T., A.T., R.W., M.W., L.W., D.W., M.X., C.Y., P.Y., and Q.Z. performed
research; D.S., L.F., M.B., A.H., and P.M.W. contributed new reagents/analytic tools; D.S.,
L.F., A.L.V., M.H., M. Schervish, M. Simon, A.C.W., L.D., D.C.D., M. Lawler, R.W., L.W.,
and J.N.S. analyzed data; and D.S., L.F., A.L.V., M.H., J. Kirkby, N.M.D., and P.M.W. wrote
the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This open access article is distributed under
Creative Commons Attribution-
NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND)
.
1
To whom correspondence should be addressed. Email: paul.winkler@univie.ac.at.
y
This article contains supporting information online at
www.pnas.org/lookup/suppl/doi:10.
1073/pnas.1807604115/-/DCSupplemental
.
Published online August 28, 2018.
9122–9127
|
PNAS
|
September 11, 2018
|
vol. 115
|
no. 37
www.pnas.org/cgi/doi/10.1073/pnas.1807604115
EARTH, ATMOSPHERIC,
AND PLANETARY SCIENCES
Significance
Aerosol particles can form and grow by gas-to-particle con-
version and eventually act as seeds for cloud droplets, influ-
encing global climate. Volatile organic compounds emitted
from plants are oxidized in the atmosphere, and the resulting
products drive particle growth. We measure particle growth
by oxidized biogenic vapors with a well-controlled laboratory
setup over a wide range of tropospheric temperatures. While
higher temperatures lead to increased reaction rates and con-
centrations of highly oxidized molecules, lower temperatures
allow additional, but less oxidized, species to condense. We
measure rapid growth over the full temperature range of
our study, indicating that organics play an important role in
aerosol growth throughout the troposphere. Our finding will
help to sharpen the predictions of global aerosol models.
form highly oxygenated molecules (HOMs), which constitute
a large source of low-volatility species in the atmosphere (6).
Recent studies have shown that HOMs from the ozonolysis of
the predominant monoterpene
α
-pinene are able to form (7) and
efficiently grow particles from cluster sizes onward (8). Model
simulations suggest that they are major contributors to parti-
cle formation on a global scale (9). Moreover, the impact of
HOMs on initial particle growth might explain the observa-
tions of increasing growth rates with particle size between 1 and
10 nm during particle-formation events (10) by a multicompo-
nent Kelvin effect (8, 11), also known as nano-K
̈
ohler theory
(12). This is because HOMs span a wide range of volatilities (13),
and, with increasing particle size, more and more low-volatility
species can contribute to the growth process.
In contrast to sulfuric acid plus ammonia or amines, where
growth proceeds close to the kinetic limit (14), growth driven by
organics is governed by the resulting volatilities of the wide vari-
ety of oxidation products. Therefore, temperature likely plays a
decisive role, as the saturation concentration has a steep expo-
nential temperature dependence as described by the Clausius–
Clapeyron relation. Additionally, a recent study has shown that
temperature crucially influences the chemical composition of the
initially formed molecular clusters in
α
-pinene ozonolysis (15).
Therefore, the contribution of biogenic organics to new parti-
cle formation might be strongly sensitive to temperature. This,
in turn, may significantly influence the importance of new par-
ticle formation at high altitudes (16) and in outflow regions of
deep-convective clouds—for example, over the Amazon Basin
(17–19).
Here, we investigate in the Cosmics Leaving Outdoor
Droplets (CLOUD) chamber (20) the effect of tempera-
ture on the production of oxygenated molecules and subse-
quent particle growth from dark
α
-pinene ozonolysis at three
different temperatures (
25
C, 5
C, and 25
C) for various pre-
cursor concentrations. The resulting volatility distributions are
inferred by combining two types of chemical ionization (CI) high-
resolution time of flight mass spectrometers (TOF-MS) (21, 22)
using complementary ionization techniques to obtain a detailed
representation of the gaseous oxidation products. Together
with the precision measurement of particle growth rates (23)
and analysis of the particle-phase composition (24), this allows
identification of the underlying processes and their temper-
ature dependence responsible for initial growth in biogenic
ozonolysis systems (see
Materials and Methods
for details about
the experimental setup and measurement procedures).
Results
Observed Gas-Phase Composition and Volatility Distribution.
We
measured gas-phase composition with a nitrate-CI atmospheric
pressure interface (APi)-TOF-MS (nitrate-CI) (21) and a proton
transfer reaction (PTR)-TOF-MS (PTR3) (22) to obtain a more
detailed overview of the neutral gas-phase species present dur-
ing the
α
-pinene ozonolysis experiments. We obtained overlap
for peaks observed in both instruments (
SI Appendix
, Fig. S3
)
and show a combined mass-defect plot of both instruments for
three representative experiments at three different temperatures
in
SI Appendix
, Fig. S4
. The PTR3 introduces
>
200 previously
undetected molecular ion signals, not only HOMs, which are
usually specified by their high oxygen to carbon ratio (O:C
>
0.7 for monomers), but mostly compounds toward lower oxida-
tion states. For molecules with identified chemical composition,
a volatility can be assigned according to the number of oxy-
gen atoms
n
O
and the number of carbon atoms
n
C
within the
molecule (
SI Appendix
).
As volatilities of organic compounds observed in the atmo-
sphere vary by
>
10 orders of magnitude and the combined mass
spectra contain
500 different molecules, it is convenient to
simplify considerations of gas-to-particle partitioning by group-
ing compounds together within a volatility basis set (VBS) (13,
25). Within this framework, the volatility bins are separated
by one decade in
C
at 300 K, and for other temperatures,
the binned distribution is shifted toward lower saturation mass
concentrations. The saturation mass concentration of oxidized
organics should follow the Clausius–Clapeyron relation at a con-
stant evaporation enthalpy
H
vap
, which in turn is linked to
C
at 300 K (13) (
SI Appendix
).
Fig. 1 shows the resulting binned volatility distribution of all
observed organic gas-phase compounds for three representative
experiments. We averaged observed gas-phase concentrations
A
B
C
Fig. 1.
Volatility distributions for representative experiments with similar
α
-pinene ozonolysis rate: 25
C (
A
), 5
C (
B
), and
25
C (
C
). The green and
blue bars show summed molecular ions observed in the nitrate-CI and PTR3,
respectively. The highest and lowest bin are overflow bins. Volatility bins
are defined at 300 K, shifted, and widened according to their corresponding
temperature. The resulting saturation mass concentration is defined on the
x
axis, while log
10
C
*
300K
is specified by white numbers. Additionally, the bins
in supersaturation with
C
v
/
C
*
>
1 are found left of the indicating arrow.
ELVOC, extremely low-volatility organic compound; IVOC, intermediate-
volatility organic compound; LVOC, low-volatility organic compound; SVOC,
semi-volatile organic compound.
Stolzenburg et al.
PNAS
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September 11, 2018
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