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ISSN 1463-9076
Physical Chemistry Chemical Physics
www.rsc.org/pccp Volume 14 | Number 26 | 14 July 2012 | Pages 9237–9522
Includes a collection of articles on the theme of structure and reactivity of small particles
1463-9076(2012)14:26;1-Q
COVER ARTICLEKasparian and Wolf Ultrafast laser spectroscopy and control of atmospheric aerosols
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This journal is c the Owner Societies 2012 Phys. Chem. Chem. Phys., 2012, 14, 9291–9300 9291
Cite this: Phys. Chem. Chem. Phys., 2012, 14, 9291–9300
Ultrafast laser spectroscopy and control of atmospheric aerosols
J. Kasparian and J.-P. Wolf*
Received 14th November 2011, Accepted 12th December 2011
DOI: 10.1039/c2cp23576e
We review applications of ultrafast laser pulses for aerosol analysis via linear and non-linear
spectroscopy, including the most advanced techniques like coherent control of molecular excited
states. We also discuss the capability of such pulses to influence the nucleation of atmospheric
aerosols by assisting condensation of water in air.
1. Introduction
Aerosols play a key role in the atmosphere. Their impact on
public health as pollutants and their activity in climate change
and heterogeneous chemistry are well recognized. For instance
their influence on the radiative balance of the Earth, both
direct and indirect (via the condensation of cloud droplets), is
known as the largest uncertainty in the climate change
predictions by the IPCC.1 Their photochemical activity has been,
on the other hand, widely highlighted by the discovery of their
catalytic role in the stratospheric ozone destruction, which led to
the Nobel Prize for P. Crutzen, M. Molina, and F. Rowland in
1995.2 Further impacts are obviously linked to air pollution
especially in urban areas and the related health issues.
Although the central role of atmospheric aerosols is
unanimously acknowledged, their properties are still insuffi-
ciently characterized. Important efforts have been recently
dedicated to address major issues, such as nanoparticles
nucleation from the molecular gas phase,3 particle activation
leading to cloud condensation nuclei (CCN) and precipita-
tion,4 unknown optical properties (scattering, extinction) in
mixed phases (aerosols embedded or dissolved in water)5 and
unexpected abundance of biological aerosols (cellular material
and proteins).6 The exciting field of research dealing with the
physical and chemical properties of aerosols will therefore
certainly rapidly grow in the next years.
Non-linear spectroscopy appears as a very attractive novel
method for characterizing aerosol particles. Considerable
work was dedicated to the special case of spherical micro-
droplets, as they support high quality cavity modes called
‘‘Whispering Gallery Modes’’ (WGM)7 by analogy to acoustic
WGM in circular buildings. These resonances locally enhance
the electric field and allow for non-linear interactions, such as
Stimulated Raman Scattering (SRS) and Coherent Anti-
Stokes Raman Scattering (CARS), even at low incident
powers.8,9 Although extensively studied since the mid-1980s
in microdroplets,10–12 SRS and CARS proved only recently
their capabilities for analyzing atmospherically relevant
aerosol particles, especially in combination with levitating
and trapping techniques.13–18 In most of these studies, cavity
enhanced Raman scattering (CERS) is used to measure the
composition of single aerosol particles, which can hardly be
addressed by recording only the Mie scattering pattern and
extinction. Accommodation, composition and chemical
reactions can be followed in real time on a single particle,
contrary to other techniques that are limited by the need to
average over a large ensemble of particles.
The advent of ultrashort pulse lasers widely extended the
palette of non-linear spectroscopic techniques, including multi-
photon excited fluorescence (MPEF), harmonics generation,
supercontinuum emission, and Laser Induced Breakdown
Spectroscopy (LIBS). Some representative examples of these
processes induced in aerosol particles are reviewed in Section 2.
However, the main use of lasers in atmospheric aerosols
research regards remote sensing, especially using the Lidar
(Light Detection and Ranging) technique.19,20 Similar to a
laser radar, the backscattered light from a pulsed laser is
detected as the pulse propagates in the atmosphere. Light is
Rayleigh- and Mie-scattered from the air molecules and
aerosols, respectively, so that average backscatter b and
extinction a coefficients are recorded as a function of the time
of flight, i.e., the distance. Both yield information about the
amount and the location of aerosol particles, cloud droplets,GAP-Biophotonics, University of Geneva, Chemin de Pinchat 22,1211 Geneve 4, Switzerland. E-mail: [email protected]
Jerome Kasparian is a Research scientist at the University ofGeneva. He is responsible for the studies on the filamentation ofultrashort laser pulses and its atmospheric applications likelightning control and laser-induced condensation, in particularwithin the Teramobile project which he is leading.
Jean-Pierre Wolf is a Professor of physics at the University ofGeneva, head of the Group of Applied Physics—Biophotonicsgroup. He is a specialist in ultrafast physics, including coherentcontrol, laser filamentation, and atmospheric remote sensing andcontrol. He is the recipient of an Advanced Grant of theEuropean Research Council.
PCCP Dynamic Article Links
www.rsc.org/pccp PERSPECTIVE
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ice crystals, volcanic ashes, etc. Backscatter Lidars have been
extensively used for about 50 years now, since the pioneering
work of G. Fiocco and L.D. Smullin in 1963.21 While b and a canbe retrieved relatively easily using inversion algorithms,22 they do
not directly provide information about the size distribution of the
particles, their quantitative concentration, and their composition.
In Section 3, we will highlight new possibilities opened by
ultrashort and intense lasers towards this goal. In particular,
intense laser beams propagate non-linearly in the atmosphere and
generate ‘‘filaments’’ of light,23–27 bearing a typical intensity of
5 � 1013 W cm�2.28,29 They generate plasma strings featuring
electron densities of 1015–1016 cm�3 and a supercontinuum of
light that spans from the UV30 to the IR31 (230 nm to 14 mm).
This supercontinuum can thus be used for providing the range-
resolved spectral dependence of b and a, and therefore information
about the size and the concentration of the aerosol particles.
Additionally, MPEF and coherent control schemes are remarkable
femtosecond spectroscopy tools for addressing the composition, as
demonstrated in the case of bioaerosol simulants.32
Beyond observing the atmosphere, filaments induced by high
power lasers might even allow locally controlling it. More
precisely, the ionized filament strings are electrically conductive
so that they trigger and guide high-voltage discharges over several
metres.33–38 Filament-induced corona discharges inside real
thunderclouds were even demonstrated recently,39 which open
new perspectives for real scale lightning control. More related to
the context of aerosol and clouds, filaments induce nucleation of
nanometric particles and micrometric water droplets in the
atmosphere,40,41 which might have a tremendous impact on
geo-engineering in the future. Aerosol nucleation and water
condensation induced by high intensity lasers are the subject of
Section 4.
2. Femtosecond spectroscopy of aerosol particles
2.1. Harmonics generation
The most straightforward non-linear optical effect is harmonic
generation.42 Due to inversion symmetry, the even harmonics
are forbidden in water droplets, so that the first strong
harmonic induced by a high-intensity laser is the third one.
By illuminating individual droplets of typical radius a = 20 um
with a 80 fs laser pulse providing an intensity of 2–5 �1011 W cm�2 at 800 nm, third harmonic generation (THG) could
be observed as a function of the scattering angle, as shown in
Fig. 1(d).43 Fair agreement was found between the experiments
and non-linear Mie scattering theories.44 In addition to the
strong forward emission, a secondary maximum close to
y = 261 with respect to the laser axis appeared remarkably
stable over a broad range of size parameters 60 o x o 300
(x = 2pa/l).43,45 Raman coupling with THG was also reported
in microdroplets for longer pulse durations and narrow-band
illumination.46,47
As mentioned above, second order processes such as second
harmonic generation (SHG) or sum frequency generation
(SFG) are symmetry-forbidden in the bulk. They can,
however, occur on the droplet surface because of inversion
symmetry breaking. Fig. 1(b) and (c) display the observation
of both SHG48 and SFG processes in water droplets, when
the incident intensity is increased to 1–5 � 1012 W cm�2.
Again, the emission is strongly directive and exhibits distinctive
lobes, at y = 181 for SHG and y = 321 for SFG (800 nm +
400 nm - 266 nm). It is also strongly polarized, as shown in
Fig. 1(b) for SHG. The emission lobes can be fairly well
interpreted by the extended Rayleigh–Debye–Gans theory49,50
although other models have been developed with the same
objective, such as nonlinear Wentzel–Kramer–Brillouin theory
(NLWKB)50 and nonlinear Mie scattering theory (NLM).51,52
But these theories do not explain the intense SHG emission
of up to 2.5 � 103 photons per droplet and per pulse observed
for I = 2 � 1012 W cm�2. Reproducing this conversion
efficiency required to consider an additional process, namely
SHG induced by a DC field F through the third order
polarizability tensor w(3):
~Pð2oÞ ¼ w3~EðoÞ~EðoÞf ð1Þ
The water droplets used in the experiment, which were generated
by a piezoelectric nozzle, indeed turned out to be electrically
charged by up to 1 pC, which could lead to a sufficient DC field
for enhancing second harmonic generation. Although still
debated,53 this process would allow measuring the electric charge
of water droplets, even remotely in the atmosphere by Lidar.
This would allow for the first remote measurements of electric
fields within clouds, especially in thunderclouds. This measure-
ment is otherwise difficult to perform in situ, both because of
practical reasons and because of the strong local influence on the
particle charge of any device inserted close to the particles.
2.2. Incoherent multiphoton processes: MPEF and
multiphoton ionization (MPI)
The most prominent feature of incoherent nonlinear processes
in aerosol particles using femtosecond lasers is a strong
localization of the emitting molecules within the particle,
and a subsequent backward enhancement of the emitted
light.54–57 This previously unexpected behavior is very attractive
for remote detection schemes, such as Lidar applications,32 since
it implies that light is emitted preferentially towards the light
source, where the detection system is also located.
Fig. 1 Harmonics generation in water droplets of 20 mm typical radius,
induced by femtosecond laser pulses at 800 nm. (a) Experimental
arrangement. A droplet generator is synchronized with a femtosecond
laser so that each droplet is illuminated by a single laser pulse (b) SHG:
800 nm- 400 nm, (c) SFG: 400 nm+ 800 nm- 266 nm, and (d) THG:
800 nm - 266 nm (Fig. 1(d) from ref. 45).
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We investigated, both theoretically and experimentally,
incoherent multiphoton processes involving k = 1 to 5
photons. 1-, 2-, and 3-PEF occur in bioaerosols because of
natural fluorophores such as amino acids (tryptophan,
tyrosine), nicotinamide adenine dinucleotide (NADH), and
flavins. The strongly anisotropic MPEF emission was demon-
strated on individual microdroplets containing tryptophan,
riboflavin, or other synthetic fluorophores (such as Coumarin
dyes). Fig. 2(c)–(e) shows the angular distribution of the
MPEF emission and the comparison between experimental
and theoretical (Lorenz–Mie calculations) results for the one-
(400 nm) (upper), two- (800 nm) (center) and three-photon
(1.2 mm) (lower) excitation process. They show that fluores-
cence emission is maximum in the direction toward the exciting
source. The directionality increases with k, because the excitation
process involves the k-th power of the intensity Ik(r). The ratio of
light powers at 1801 and 901, Rf = P(1801)/P(901), increases
from 1.8 to 9 when k rises from 1 to 3. 3-PEF from aerosol
microparticles is therefore emitted mainly backwards, which is
ideal for Lidar experiments, as demonstrated in the field using the
Teramobile system.24,32
The backward enhancement of multiphoton processes can
be explained by the reciprocity (or ‘‘time reversal’’) principle:
re-emission from regions with high Ik(r) (where r stands for the
position inside the particle) tends to return toward the
illuminating source by essentially retracing the direction of
the incident beam that gave rise to the high-intensity hot spots.
These spots are induced by non-linear processes, which typically
involve the k-th power of the internal intensity Ik(r) (Fig. 2), and
therefore tend to be efficient only in the fraction of the particle
volume where the intensity is highest.
Very recently, we applied MPEF spectroscopy to real
atmospheric aerosols, namely airborne pollens. For this,
ambient air was sucked and focused with a sheath nozzle in
a narrow stream, where 2 diode lasers detected the presence of
individual particles and triggered the femtosecond laser
inducing simultaneously two- and three-photon excited fluores-
cence. The fluorescence of each individual pollen particle was
analysed by a spectrometer and a 32-channel photomultiplier
tube. For reference, clusters of dye-doped 1 mm PSL spheres
(FB 345) exhibit fluorescence spectra at around 345 nm.58
The spectra (Fig. 3) clearly display the differences between the
pollens, which could be used for identification. The MPEF
emission maximum shifts from 440 nm (Ragweed, Fig. 3(b)) to
490 nm (Mulberry, Fig. 3(d)) with Pecan in between (470 nm,
Fig. 3(c)). The shapes of the spectra also differ. For instance
Pecan and Ragweed exhibit significant fluorescence around
380–400 nm, which clearly originates from a 3-PEF contribution.
Conversely, Mulberry emits only a weak fluorescence in this
region. These observations are in agreement with recent results
obtained with dual nanosecond laser excitation of fluorescence.59
k = 5 corresponds to laser induced breakdown (LIB) in
water microdroplets, initiated by multiphoton ionization
(MPI). The ionization potential of water molecules is 6.5 eV,
so that 5 photons are required at a laser wavelength of 800 nm
to initiate plasma formation. Both localization and backward
enhancement further increased as compared to lower orders,
reaching Rf = 35 for k = 5.56 Similarly to MPEF, LIBS has
the potential of providing information about the aerosols
composition, as was demonstrated for bacteria and other
bioaerosols. Experiments using femtosecond laser pulses
recently showed that, due to a lower thermal background,
some atomic and molecular (C–C, C–N) lines could be
extracted from the LIBS emission from different bacteria.60–62
A principal component analysis demonstrated that classes of
bacteria can be discriminated, as for instance gram+ versus
gram� types. The recent demonstration of remote LIBS based
on laser filamentation (R-FIBS or Remote Filament-Induced
Breakdown Spectroscopy) opens the perspective to transpose
these approaches to stand-off, or even remote detection.63
2.3. Pump–probe and coherent control in bioaerosols
The optical detection and identification of bioaerosols suffer
from the overlap between the absorption and fluorescence
Fig. 2 Backward-enhanced MPEF from spherical microparticles.54
(a,b): Molecular excitation within droplets, proportional to Ik(r) with
k = 1 (a) and 3 (b). (c–e): Angular distribution of MPEF emission for
1, 2 and 3 photon excitation (reprinted from ref. 54, copyright 2000 by
the American Physical Society).
Fig. 3 Single-shot MPEF spectra of individual aerosol particles.
(a) Dye-doped polystyrene spheres (FB345), (b) Ragweed pollen, (c)
Pecan pollen, and (d) mulberry pollen (from ref. 58).
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spectra of their amino acids and that of polycyclic aromatic
hydrocarbons (PAH) originating from combustion. To over-
come this limitation, a femtosecond pump–probe depletion
(PPD) concept was developed.64 It is based on the time
dependent competition between excited state absorption
(ESA) into a higher-lying excited state on one side, and
fluorescence into the ground state on the other side. By
varying the temporal delay between a pump and a probe
pulse, the dynamics of the internal energy redistribution within
the intermediate excited state’s potential surface is explored.
Different species offering distinct excited state potential
surfaces can therefore be discriminated. PPD was first success-
fully used to distinguish molecules such as tryptophan and
naphthalene, which are among the most fluorescing species in
bacteria and diesel fuel, respectively. At a given time delay
(2 ps) tryptophan fluorescence was depleted by 50% by
the probe laser, while that of diesel fuel remained almost
unaffected. Two reasons might be invoked to understand this
difference: (1) the intermediate state dynamics of tryptophan is
predominantly governed by the NH– and CO– groups of the
amino acid backbone and (2) the ionization potential is higher
for polycyclic aromatic hydrocarbons (PAH), so that further
excitation induced by the probe laser is much less likely in the
organic compounds. Similar results have been obtained for
live bacteria, including Escherichia coli, Enterococcus and
Bacillus subtilis, which could be distinguished from diesel fuel
(Fig. 4).65,66 This achievement can be exploited for a novel
selective bioaerosol detection technique that avoids interfer-
ence from background traffic-related organic particles in the
air: the excitation shall consist of a pump–probe sequence and
the fluorescence emitted by the mixture will be measured as the
probe laser is alternately switched on and off. This pump–
probe differential fluorescence measurement will be especially
attractive for active remote detection (e.g., MPEF-based
Lidar, see Section 3.3), where the lack of discrimination
between bioaerosols and traffic-related organics is currently
most acute.
While PPD can discriminate biological from other organic
aerosols, it turned out to be unable to discriminate among
different bacteria, which express the same depletion dynamics
because their constituent molecules are mostly identical. For
this reason, a significant effort is dedicated to more sophisti-
cated techniques using optimally shaped pump pulses in PPD.
Together with the group of H. Rabitz in Princeton, we
developed a novel approach, called optimal dynamic discrimi-
nation (ODD), which allowed us to discriminate between two
structurally similar molecules in aqueous-phase: flavin mono-
nucleotide (FMN) and riboflavin (RBF). Due to their very
similar structure, these two molecules have nearly identical
static spectroscopic properties throughout the entire visible
and far UV, including the region of the pump-pulse
wavelength at 400 nm: The flavins’ electronic spectroscopy
is primarily associated with their common chromophore
(p - p* type transitions localized on the isoalloxazine ring).
The chemical moieties (H vs. PO(OH)2) on the terminal side
chains influence it only indirectly, and very slightly.
Although the laser resources exploited for discriminating
the two flavins consisted of a modest B3.5 nm of UV
bandwidth andB10 nm of IR bandwidth, dramatic selectivity
was achieved by shaping near-UV pump pulses. The optimal
near-UV pulse shape was determined by closed-loop optimi-
zation on the fluorescence depletion ratio dFMN(Dt)/dRBF(Dt)for a fixed delay Dt (B500 fs). Whereas the static spectra
appear nearly identical, subtle differences exploited by control
are nonetheless profound and allow a discrimination of the
flavins by 12 standard deviations.67 Moreover, the subtle
differences in the excited state dynamics could be theoretically
understood by FISH (Field Induced Surface Hopping) calcu-
lations performed by V. Bonacic-Koutecky in Berlin.68 ODD
has therefore the potential capability of distinguishing
complex peptides and proteins, which could lead to the
discrimination between different classes of bacteria in air in
the future.
3. Filamentation and non-linear Lidar detection of
aerosols
3.1. Multispectral Lidar
The Lidar technique has proved useful for 3D-mappings of air
pollutants, such as NO, NO2, SO2, Ozone and aerosols.19,20,69
Such mappings allow validating complex numerical models of
air pollution, offering a substantial added value as compared
with measurements based on local sampling, the results of
which critically depend on their location.70,71 However, for
aerosols, Lidar data are often limited to single wavelength
backscattering profiles. Such profiles, although relevant
for climatic models and meteorology (measurement of the
planetary boundary layer, height of cloud layers, extinction
coefficients etc.), bear no information about the size distribution
of the particles, and their composition.
The most advanced methods for aerosol detection by Lidar
use several (typically 2–5) standard lasers (Nd :Yag, Ti : Sapphire,
Excimers,. . .), each operating at a fixed wavelength.72–76 The set
of Lidar equations derived from the multiwavelength Lidar data
is subsequently inverted using dedicated algorithms and/or multi-
parametric fits of pre-defined size distributions with a priori
assumptions about the size range and complex refractive indices
Fig. 4 PPD spectroscopy of 20 mm radius droplets containing about
100 E. coli bacteria, simulating pathogens vectored by saliva drops
(from ref. 66). Wavelengths of the femtosecond pump- and probe-
pulses are 266 nm and 800 nm respectively.
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of the particles. These data allowed, for instance, measuring the
characteristics (size distribution, presence of sulfuric and nitric
acids) of Polar Stratospheric Clouds (PSC)77 and volcanic ashes
(Pinatubo eruption)78 in the Arctic Circle, which helped assessing
their role in stratospheric ozone depletion. More recently, the
eruption of the Eyjafjallajoumlkull volcano induced a very large
amount of activity in the Lidar community for characterizing the
spread and the properties of the ash plume.79
In order to obtain quantitative mappings of aerosols,
complementary local data (obtained with, e.g., particle counters,
or multi-stage impactors to identify the sizes and composition)
are often used together with the Lidar measurements. This is
especially the case of urban aerosols, because their variety in size
and composition does not allow simple a priori assumptions.80
The determination of the size distribution and composition using
standard methods must, however, be taken cautiously as addi-
tional data, because of their high spatial and temporal variability.
3.2. Laser filamentation, supercontinuum, and white light
Lidar
Laser filaments25–28 have been proposed as an option to
increase the information yield of Lidar. They are self-sustained
light structures of typically 100 mm in diameter and up to
hundreds of metres in length, widely extending the traditional
linear diffraction limit. They can be generated at kilometre-
range distances,81 leaving strings of weakly ionized plasma
(1015–1016 cm�3) behind them. Furthermore, they can propa-
gate through adverse conditions like turbulent air82 or fog.83,84
Their formation stems from a dynamic balance between
Kerr self-focusing and defocusing by higher-order negative
Kerr components85,86 and/or plasma formation.87
More precisely, at high intensity I, the refractive index n of
the air is modified by the Kerr effect:42 n(I) = n0 + n2I, where
n2 is the non-linear refractive index corresponding to third-
order non-linearity (n2 = 1.2 � 10�19 cm2 W�1 in air88). The
Kerr effect becomes significant when self-focusing is larger
than natural diffraction, i.e. above a critical power Pcrit
(typically 8 GW in air at 800 nm). As the intensity in a
cross-section of the beam is not uniform, the refractive index
increases more in the center of the beam than on its edge. This
induces a radial refractive index gradient equivalent to a
converging lens, or ‘‘Kerr lens’’. Its focal length decreases
with increasing intensity, so that it could be expected to
collapse. However, as the laser pulse intensity reaches
1013–1014 W cm�2, higher order non-linear processes, such
as negative higher order Kerr effect terms (HOKE) or multi-
photon ionization (MPI), occur. These processes act as a
negative lens that counterbalances self-focusing, leading to
stable propagation of quasi-solitonic structures: the filaments,
with a typical equilibrium intensity clamped around 5 �1013 W cm�2.28,29
The non-linear propagation of high intensity laser pulses
does not only provide self-guiding of the light, but also
generates an extraordinarily broad continuum (Fig. 5) spanning
from the UV30 to the IR31 (230 nm–14 mm). This supercontinuum
is generated by self-phase modulation (SPM) along the pulse
propagation of the high intensity pulses. SPM is the temporal
counterpart of the Kerr effect, resulting in a time-dependent phase
shift Df (t) = �n2I(t)o0z/c, where o0 is the carrier frequency, z is
the distance of propagation, and c is the speed of light. This phase
shift in turn generates new frequencieso=o0 + dDf/dt=o0�n2o0z dI(t)/cdt.
42,89,90 The fast variation of temporal envelope of
the pulse thus induces a strong spectral broadening around o0.
The white-light continuum provides a coherent broadband
light source with a continuous spectrum, particularly suitable for
multispectral aerosol detection. Galvez et al. successfully used the
supercontinuum generated in rare gas and transmitted into the
atmosphere to perform multi-wavelength Lidar and characterize
aerosols.92–94 Since the continuum has the same polarization as
the incident laser pulse, depolarization measurements are also
possible, allowing to characterize the deviations of the particles
from a spherical shape, e.g., to identify ice crystals.
An attractive alternative is to produce the supercontinuum
directly in the atmosphere, as the high intensity laser propagates.
It is especially advantageous as the filament emission is partially
backward-emitted95 and is thus favorable to Lidar experiments.
Filament-based Lidar was first demonstrated for gaseous species
in the atmosphere24,96,97 with the first mobile fs-TW laser,
Teramobile.98 In particular, water vapor and temperature profiles
(through the ground state’s vibrational population of water
vapor and molecular oxygen) were measured simultaneously,
giving rise to a direct relative humidity (RH) profiling capability.
The supercontinuum generated directly by the filaments in the
atmosphere was even used for measuring the aerosols size
distribution and concentration,97 for which it appears as an
optimal multispectral source. While the spectral analysis of such
measurements is, in principle, an extension of the existing multi-
wavelength algorithms, the presence of the filaments at a given
altitude and the use of temporal focusing require, however, to
update the Lidar equation to a non-linear Lidar version and its
related inversion algorithms.18,99
3.3. Application to bioaerosol detection and identification
The remote detection and identification of bioaerosol with a
femtosecond MPEF-Lidar was first demonstrated100 as early
Fig. 5 White-light supercontinuum from hundreds of filaments,
generated by 30 fs, 1.65 J pulse after 15 m propagation, imaged on a
screen.91
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as in 2004 using the Teramobile system98 (Fig. 6). Micro-
droplets of 1 mm containing riboflavin were used as simulants
of airborne bacteria or other bioagents. A plume of 104
particles cm�3 was spread at a distance of 45 m from the
Teramobile. Riboflavin was excited with two photons at
800 nm and emitted a broad fluorescence around 540 nm.
MPEF might be advantageous as compared to linear laser-
induced fluorescence (LIF) for the following reasons: (1)
MPEF is enhanced in the backward direction (see Section
2.2) and (2) atmospheric transmission is much higher for
longer wavelengths due to the dependence of Rayleigh scattering
with the fourth power of the frequency. For example, if we
consider the detection of tryptophan (which can be excited with
3 photons of 810 nm), the transmission of a clear atmosphere is
typically 200 times higher at 810 nm than at 270 nm, although the
exact factor depends on the background ozone concentration.
Simulations show that beyond a few kilometres, the non-linear
fluorescence signal would be stronger than its linear counterpart.
Furthermore, the use of MPEF opens the way to pump–probe or
coherent control techniques, as described above, to measure both
the composition and size.
Significant progress has also been recently achieved for
detecting bioaerosols using Raman spectroscopy with femto-
second lasers.101 Coherent Anti-Stokes Raman Scattering
(CARS) is much more sensitive than spontaneous Raman,
and is therefore widely preferred for practical applications that
address small ensembles of bioparticles. A major drawback of
the CARS detection of bacteria in air or in solution is,
however, parasitic non-resonant four wave mixing (FWM)
occurring in other species than the target molecules. Due to
the abundance of these other species, this parasitic back-
ground often covers the vibrational signatures of the molecules
of interest. Another limitation is fluorescence of the target
molecules, in case of resonant Raman scattering. The combi-
nation of coherent control schemes and Raman spectroscopy
recently opened exciting perspectives to overcome these
problems.102–104 They rely on the preparation of a coherent
superposition of vibrational levels in the ground state using
stimulated Raman scattering. Then, this superposition of
levels is used in a CARS scheme. In particular, the group of
M. O. Scully reported promising CARS methods, referred to
as FAST-CARS105 and hybrid CARS106 in order to extract the
Raman lines of bacterial spores from the background noise.
The use of femtosecond Raman schemes for the remote
detection and identification of aerosols in the atmosphere
was initially proposed by Kasparian and Wolf.107 The method
is based on a pump–probe SRS technique involving the
ballistic propagation of femtosecond pulses within the particles
(e.g., water droplets)108 in order to remotely determine both the
size and the composition of aerosols. More recently, standoff
detection using CARS-Lidar was demonstrated by different
groups, but on solid targets.109–111
4. Controlling the atmosphere: laser-induced
condensation
Recent attempts aimed at using ultrashort laser pulses not only
to remotely sense the atmospheric aerosols, but also to directly
influence their formation and growth. Today, such influence is
sought via the seeding of clouds by particles of carbonic ice,
AgI, or salts,112–114 with high running costs, controversial
results and still open questions about the innocuity of the
compounds spread if they were to be used on a large scale.
Conversely, lasers could allow continuous operation, precise
aiming of the most favourable atmospheric volume to be
activated, and avoid spreading of chemicals.
Laser-induced condensation (LIC) of water was first observed
in air saturated with water vapour, i.e., at relative humidity (RH)
above 100%.24 This spectacular effect was even visible with the
naked eye,115 as displayed in Fig. 7(a).
This effect was attributed to the Thomson mechanism for
charge-induced particle formation,116,117 which is active in the
Wilson chamber:118 ionizing particles are visualized through
the trail of water droplets they nucleate and leave behind them
as they propagate through an atmosphere saturated with
humidity or with other condensable species. However, LIC
turned out to be also effective below saturation, down to 70%
RH, including in the free atmosphere.41,115 A massive increase
of the concentration of particles of both nanometre- (up to 2 �107 cm�3 in the filament volume for each laser shot) and
micrometre-size (up to 10 mm, 105 cm�3) was observed and
characterized (Fig. 7(b)) over a wide range of temperatures
(2–36 1C) and RH (70–100%).
This observation was even made remotely from a distance of
45–75 m in a pump–probe Lidar configuration (Fig. 8). It was
very surprising, since the Thomson mechanism requires highly
supersaturated air to be effective119 and therefore cannot
explain the observed effect. Extensive experiments were therefore
conducted to identify the mechanism(s) relevant to atmospheric
conditions. Concentrations of ozone and NO2 in the parts per
million (ppm)-range, typically 100 to 1000 times the background
atmospheric values, were detected in the filaments, both under
Fig. 6 Remote detection and identification of bioaerosols by an MPEF-Lidar. The femtosecond laser illuminates a plume of microparticles
containing riboflavin (RBF) 45 m away (left). The backward emitted 2-PEF, recorded as a function of distance and wavelength, exhibits the
specific riboflavin fluorescence signature for the bioaerosols (middle) but not for pure water droplets (simulating haze, right).100
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controlled laboratory conditions120 and in the atmosphere.41
They originate from atmospheric photochemistry initiated by
multiphoton excitation of the air constituents. In spite of their
spreading and dilution in the volume around the filaments, these
concentrated highly reactive species can lead to the generation of
highly hygroscopic species, especially HNO3. The latter was
indeed detected as NO3� ions in laser-induced particles sampled
in the vicinity of the laser filaments.41
The impact on particle stability and growth of HNO3 at the
concentration levels expected in or around laser filaments trace
gas has been modeled from both the thermodynamic and kinetic
points of view. This model relies on an extended variant of the
Kohler model,121 adapted to handle high HNO3 concentrations.
It shows that the dissolution of HNO3 in particles affects the
balance between the adsorption of water molecules from
the surrounding atmosphere and their evaporation, which defines
the particle growth or evaporation rates. Due to its hygroscopic
character, HNO3 prevents particles from evaporating down to
70% RH, and substantially enhances the particle growth rates
close to 100%RH. As a result, this model reproduces the particle
density measured in the experiments, its variations with tempera-
ture and humidity, the particle sizes, as well as their astonishingly
fast growth allowing them to reach several micrometres within a
few seconds.122
In spite of this capability to explain the experimental results,
the particle stabilization relying on HNO3 production cannot
be expected to be the only one active. Considering the complexity
of the physico-chemistry of the plasma generated in air by the
laser filaments, the contributions of other processes have to be
considered and evaluated. These processes include H2SO4
produced originating from the laser-induced oxidation of the
background atmospheric SO2,119 charge-accelerated coagulation
of particles of sub-100 nm size, photochemistry involving excited
radicals and ions, or even the formation of water–oxygen clusters
as proposed by Byers Brown.123 The identification and quantifi-
cation of these alternative processes constitute the main challenge
ahead for the understanding of laser-induced condensation.
Besides the detailed understanding of the mechanism at play
in LIC, a key question regards the scaling up of these results to
obtain measureable effects over macroscopic volumes in the
atmosphere. Promising hints in this regard were provided by
launching high-energy and high-power pulses (3 J, 100 TW)
from the DRACO laser of Forschungszentrum Dresden-
Rossendorf into a cloud chamber. Surprisingly, the yield of
laser-induced nanometric particles was found to scale up
much faster than linearly with increasing incident laser
fluence. This increase appears to follow an exponent between
5 and 8. The corresponding 5th and 8th order processes may be
identified as the multiphoton dissociation of oxygen leading
to ozone formation and ionization of oxygen molecules,
respectively.123,124 Such non-linear scaling offers perspectives
for laser-induced condensation on macroscopic scales, and
Fig. 7 Femtosecond laser-induced condensation of water droplets in
a cloud chamber. (a) True-color image of a laser-generated cloud,
illuminated by a green laser; (b) size dependence of the background
particles and laser effect on this size distribution. Stars label sizes
where the statistical significance is at least 1�a 4 0.99.41
Fig. 8 Laser-induced condensation experiment in the atmosphere. (a) Experimental setup: the Teramobile laser (red) is fired 1 ms prior to the
LIDAR pulse (green) measuring the aerosol content of the atmosphere; (b) time-averaged relative increase of the Mie backscattering coefficient
bMie measured between 06:00 and 06:30 h with and without firing the Teramobile laser. The signal enhancement at the filaments’ height (the most
active filamenting region at 45–75 m is greyed on the graph) is a clear indication of filament-induced condensation.115
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9298 Phys. Chem. Chem. Phys., 2012, 14, 9291–9300 This journal is c the Owner Societies 2012
demonstrates the relevance of high-energy lasers for that
purpose.
Producing aerosol particles in the atmosphere does not
mean triggering precipitation. As particles grow, HNO3 gets
diluted, which prevents further condensation unless the RH
rises close to 100%. However, the laser-produced particles
may act as condensation nuclei and further condense water if
their air mass evolves to adequate atmospheric conditions, in
particular if its RH rises sufficiently. Conversely, generating a
large excess of condensation nuclei may result in their competition
for condensing the available water molecules. This competition
may prevent any of them from reaching a sufficient size to
precipitate.
LIC however does not need to produce precipitation to find
useful applications. For example, it could allow remotely
measuring atmospheric conditions like the condensability of
the atmosphere. Such measurement could be performed in a
pump–probe setup comparable to that depicted in Fig. 8. The
size distribution and density of the laser-generated aerosol
depend on the local temperature and humidity in a way that
can be precisely calibrated. The atmosphere would therefore
be characterized by sounding this aerosol with a subsequent
probe pulse, in a Lidar configuration.
Although very recent, the field of laser-induced condensation
faces great challenges, from both the fundamental and applicative
points of views. The fast growth of the community dedicated to
this topic125 illustrates the extent of these stimulating challenges.
5. Conclusion
Aerosols belong to the most fascinating constituents of the
atmosphere. They have wide implications in various fields like
meteorology, climatology, or public health and safety.
Furthermore, due to the variety of their chemical composition,
physical states, shapes, sizes, and spatial distribution, from the
local to the global scales, their characterization is a highly
multiparametric problem. Non-linear optics and spectroscopy
offers many processes for a single excitation laser, and therefore
provides a wealth of information channels, most of them with
high selectivity and/or specificity. In particular, pulse shaping
allows a fine tuning of the laser pulse shape to the excited state
surface of a specific molecule to be selectively detected, offering
unprecedented options to remotely identify pollutants or minor
constituents of atmospheric aerosols.
Even beyond these advanced detection techniques, the high
intensity and fluence conveyed by ultrashort laser pulses can
substantially affect the atmosphere, and especially the particle
formation in the air. It therefore allows us to modulate water
vapour condensation, opening the way to the local control of
aerosol particle density and sizes which might be used for
weather modulation or even geoengineering.
Acknowledgements
‘‘Ludger, when I (J.P.W.) started my PhD in your group at
the ETH Lausanne in 1984, you had a fascinating dream:
in Central and South America, very often, clouds pass over
the cultures without producing rain, while they generate
flooding on the other side of the mountains. Your dream
(and motivation for starting a Lidar project) was that, may be
one day with lasers, it could be possible to help this critical
situation. Ludger: almost there!’’
Many of the results reviewed in the present work have
involved our collaborators in the University of Lyon,
University of Geneva and the Teramobile team, which we
would like to warmly acknowledge for our continuous and
fruitful joint work. This work was supported by the Swiss
National Science Foundation (FNS) through the Grant
200021-125315 and NCCR MUST program.
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