<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" dtd-version="3.0">
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">AMT</journal-id>
<journal-title-group>
<journal-title>Atmospheric Measurement Techniques</journal-title>
<abbrev-journal-title abbrev-type="publisher">AMT</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Meas. Tech.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1867-8548</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/amt-9-1947-2016</article-id><title-group><article-title>The performance and the characterization of laser <?xmltex \hack{\break}?>ablation aerosol particle time-of-flight <?xmltex \hack{\break}?>mass spectrometry (LAAP-ToF-MS)</article-title>
      </title-group><?xmltex \runningtitle{Laser ablation aerosol particle time-of-flight mass spectrometry}?><?xmltex \runningauthor{R.~Gemayel et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Gemayel</surname><given-names>Rachel</given-names></name>
          <email>rachel.gemayel@etu.univ-amu.fr</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff3">
          <name><surname>Hellebust</surname><given-names>Stig</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Temime-Roussel</surname><given-names>Brice</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff4">
          <name><surname>Hayeck</surname><given-names>Nathalie</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Van Elteren</surname><given-names>Johannes T.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Wortham</surname><given-names>Henri</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Gligorovski</surname><given-names>Sasho</given-names></name>
          <email>saso.gligorovski@univ-amu.fr</email>
        </contrib>
        <aff id="aff1"><label>1</label><institution>Aix Marseille Université, CNRS, LCE UMR 7376, 13331, Marseille, France</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>National Institute of Chemistry, Slovenia, Laboratory for Analytical Chemistry, Hajdrihova 19, 1000 Ljubljana, Slovenia</institution>
        </aff>
        <aff id="aff3"><label>a</label><institution>now at: Central Statistics Office, Cork, Ireland</institution>
        </aff>
        <aff id="aff4"><label>b</label><institution>now at: Université de Lyon 1, CNRS, UMR 5256,
IRCELYON, Institut de Recherches sur la Catalyse et <?xmltex \hack{\break}?>l'Environnement de Lyon,
Villeurbanne, 69626, France</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Rachel Gemayel (rachel.gemayel@etu.univ-amu.fr) <?xmltex \hack{\break}?>and Sasho Gligorovski (saso.gligorovski@univ-amu.fr)</corresp></author-notes><pub-date><day>2</day><month>May</month><year>2016</year></pub-date>
      
      <volume>9</volume>
      <issue>4</issue>
      <fpage>1947</fpage><lpage>1959</lpage>
      <history>
        <date date-type="received"><day>18</day><month>November</month><year>2015</year></date>
           <date date-type="rev-request"><day>20</day><month>January</month><year>2016</year></date>
           <date date-type="rev-recd"><day>6</day><month>April</month><year>2016</year></date>
           <date date-type="accepted"><day>13</day><month>April</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://amt.copernicus.org/articles/.html">This article is available from https://amt.copernicus.org/articles/.html</self-uri>
<self-uri xlink:href="https://amt.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://amt.copernicus.org/articles/.pdf</self-uri>


      <abstract>
    <p>Hyphenated laser ablation–mass spectrometry instruments have been recognized
as useful analytical tools for the detection and chemical characterization
of aerosol particles. Here we describe the performances of a laser ablation
aerosol particle time-of-flight mass spectrometer (LAAP-ToF-MS) which was
designed for aerodynamic particle sizing using two 405 nm scattering lasers
and characterization of the chemical composition of single aerosol particle
via ablation/ionization by a 193 nm excimer laser and detection in a bipolar
time-of-flight mass spectrometer with a mass resolving power of <inline-formula><mml:math display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula>/<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>m</mml:mi></mml:mrow></mml:math></inline-formula> &gt; 600.</p>
    <p>We describe a laboratory based optimization strategy for the development of
an analytical methodology for characterization of atmospheric particles
using the LAAP-ToF-MS instrument in combination with a particle generator, a
differential mobility analyzer and an optical particle counter. We
investigated the influence of particle number concentration, particle size
and particle composition on the detection efficiency. The detection
efficiency is a product of the scattering efficiency of the laser diodes and
the ionization efficiency or hit rate of the excimer laser. The scattering
efficiency was found to vary between 0.6 and 1.9 % with an average of 1.1 %;
the relative standard deviation (RSD) was 17.0 %. The hit rate
exhibited good repeatability with an average value of 63 % and an RSD of
18 %. In addition to laboratory tests, the LAAP-ToF-MS was used to sample
ambient air during a period of 6 days at the campus of Aix-Marseille
University, situated in the city center of Marseille, France. The optimized
LAAP-ToF-MS methodology enables high temporal resolution measurements of the
chemical composition of ambient particles, provides new insights into
environmental science, and a new investigative tool for atmospheric
chemistry and physics, aerosol science and health impact studies.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Atmospheric aerosols, defined as an assembly of solid or liquid particles
suspended in a gas (Finlayson-Pitts and Pitts, 2000), have a
large impact on human health (Dockery and Pope, 2006) and global
climate (Poeschl, 2005). Ambient aerosols typically span a
size range from 3 nm to 10 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m in diameter. Between these particles,
those with a diameter larger than 5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m are rapidly removed by
gravitational settling while aerosols with a diameter in the nanometer
range, depending on the chemical composition and local meteorology, may
drift in the atmosphere for a prolonged period of time. Most of the elements that are vaporized during various human activities (e.g., coal combustion)
tend to condense and form fine particles with a high surface-to-volume ratio
which can be transported over long distances (Canagaratna
et al., 2007). In addition, the smaller particles exhibit more adverse
health effects compared to the larger particles since they are more likely
to penetrate the human lung and even enter the blood stream
(Dockery and Pope, 2006). A recent study
(Lelieveld et al., 2015) has shown that outdoor air
pollution leads to 3.3 million premature deaths per year worldwide,
predominantly in Asia, mostly due to PM<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>2.5</mml:mn></mml:msub></mml:math></inline-formula> (particulate matter). This
figure could double by 2050 if emissions continue to rise at the current
rate.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p><bold>(a)</bold> Schematic diagram of the working principle of LAAP-ToF-MS, <bold>(b–c)</bold>
Experimental configuration aimed to investigate the influence of particle
density, size effect and detection efficiency, and <bold>(c–d)</bold> Experimental
configuration for aerosol particle measurement.</p></caption>
        <?xmltex \igopts{width=284.527559pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f01.png"/>

      </fig>

      <p>A detailed understanding of the particle sizes and the chemical composition
of atmospheric particles is of paramount importance to understand their
impact on health and climate. Hence, there is a need for the development of
appropriate analytical methods for on-line, time-resolved measurements of
atmospheric particles. In the last decade several hyphenated laser ablation
– mass spectrometry instruments have been developed (see for instance
Gaie-Levrel et al. (2012) with the aim of chemically
characterizing aerosol particles. Murphy (2007) has reviewed
the development and implementation of single particle laser mass
spectrometers. These instruments appear promising for aerodynamic sizing of
particles and characterization of their chemical composition. The advantage
of using laser ionization compared to methods based on thermal desorption,
such as that applied in the aerosol mass spectrometer (AMS), is the ability to
analyze both non-refractory (e.g., organics, ammonium nitrate) and
refractory (e.g., mineral dust, soot) components of individual atmospheric
aerosol particles (Pratt and Prather, 2011). However, a
deeper investigation is required in order to promote the laser ionization
technique as a suitable experimental device for the elemental quantification
of individual aerosol particles. The recently launched Laser Ablation
Aerosol Particle Time-of-Flight Mass Spectrometer (LAAP-ToF-MS), based on
laser desorption and ionization, provides information on the aerodynamic
diameter and chemical composition of individual aerosol particles.
LAAP-ToF-MS is intended for on-line and continuous measurement of
atmospheric particles with an analysis time in the order of milliseconds per
particle.</p>
      <p>Here we present a laboratory-based study of the LAAP-ToF-MS instrument
performance and a novel approach to developing an analytical methodology for
continuous monitoring of particle size distribution and their composition
using this instrument. It will allow both qualitative information on single
particles and quantitative information about ambient particle ensembles to
be obtained simultaneously.</p><?xmltex \hack{\vspace{-3mm}}?>
</sec>
<sec id="Ch1.S2">
  <title>Experimental</title>
<sec id="Ch1.S2.SS1">
  <title>Description of the LAAP-ToF-MS instrument</title>
      <p>The LAAP-ToF-MS instrument (AeroMegt, GmbH) features an aerodynamic particle
lens inlet, a particle-sizing region using two scattering lasers, a bipolar
time-of-flight mass spectrometer and an excimer laser as ablation/ionization
laser. The particle inlet is comprised of an aerodynamic lens with a
transmission for particles with an aerodynamic diameter between 80 and
600 nm. The working principle of the LAAP-ToF-MS is shown in Fig. 1a.</p>
      <p>The aerosol particles leave the differential pumping stages (inlet) and
enter into the detection region where they pass through the region
irradiated with light (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 405 nm), emitted by two continuous wave (cw) lasers (scattering lasers)
with a power range between 100 and 450 mW, facilitating particle sizing by light scattering. The flight path
between the two laser beams has a length of 11.5 cm. The time between the
two scattering events, i.e. the particle's time of flight, is recorded and
used to calculate the aerodynamic particle size. In addition, the second
scattering event triggers the excimer laser that fires and ablates the
drifting particle in its path. The ionization laser is a 193 nm ArF* excimer
laser (GAM Laser Inc.) with a maximum energy of 10 mJ per pulse (pulse
duration <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 ns) enabling ablation of single particles every
4 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>s. The LAAP-ToF-MS is operational in three modes of fast
triggering. (i) The first mode provides information about the particle size
and chemical composition of individual aerosol particles; in this mode the
excimer laser is triggered by two consecutive light scattering events in
both diodes. (ii) In the second mode the excimer laser is triggered by the
second scattering laser only, allowing the calculation of high particle hit
rates, without providing size information on the particles. (iii) In the third
mode the excimer laser is fired without a trigger pulse at constant
frequency in the range between 1 and 100 Hz and particles will be ablated
arbitrarily if they happen to be in the path of the laser beam. In this
study, only the performance of the first mode will be described. In this
mode it is possible to study the chemical composition as a function of the
particle size (Buzea et al., 2007).</p>
      <p>After ablation, the charged ions are extracted into a bi-polar
time-of-flight mass spectrometer (Tofwerk, BTOF) with a resolving power of
<inline-formula><mml:math display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula>/<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>m</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 600 FWHM (Full Width at Half Maximum) for both ion
polarities. The ions are extracted into their corresponding flight region
(positive or negative ions) and detected by microchannel plate detectors (MCPs).
Positive and negative ions are detected independently; both mass
spectra (positive and negative), as well as the related scattering signals,
are recorded together and can be further analyzed.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Experimental setup</title>
<sec id="Ch1.S2.SS2.SSS1">
  <title>Laboratory experiments</title>
      <p>Two types of particles were used for laboratory experiments, spherical
particles of Polystyrene Latex beads (PSL, Duke Scientific Corp) with a
factor shape equal to 1 and a density of 1.05 g mL<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, and ammonium
nitrate particles (ACROS organics) with a factor shape equal to 0.8 and a
density of 1.7 g mL<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.These particles were generated by an atomizer
(model 3076, TSI, US). A diffusion dryer (model 3306, TSI, US) was used
to decrease the humidity so it does not affect the hit rate and the particle
size. The number concentration is regulated by a concentration controller.
To control the number concentration in the sample flow, the particle flow is
split into two, one flow path passing through the particle filter while the
second one goes through a normal tube. The two flows are then merged at the
outlet of the concentration controller. By increasing the fraction of the
flow passing through the filter, the particle number concentration
decreases.</p>
      <p>The experimental configurations were designed to investigate the
instrument's performance in the first mode of operation, with particle
sizing. The first outline (Fig. 1b–c) was employed to study the
repeatability, the size calibration and the effect of the particle size and
the particle number concentration on the hit rate of the excimer laser (HR)
and the scattering efficiency of the scattering lasers (<inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula>). The differential
mobility analyzer (DMA 3081, TSI, US, impactor size 0.071 cm, sample
flow <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.3 L min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (liter per minute), sheath flow <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3.0 L min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) was placed
downstream of the particle generation assembly and was set to select
particles in the required size range between 15 and 773 nm. The sized
particle stream leaving the DMA was split between a condensation particle
counter (CPC 3776, TSI) (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.3 L min<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and the LAAP-ToF-MS
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>F</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 0.08 L min<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, to obtain independent measurements
of the number of particles per second and the particles' number in the
DMA-selected size range, respectively, allowing calculation of the
scattering efficiency and the detection rate.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <title>Ambient measurements</title>
      <p>The second configuration (Fig. 1d–c) was used for the measurement of
atmospheric particles. This second configuration was designed to assess the
potential effect of chemical composition on the hit rate and the scattering
efficiency of real particles and to assess the effect of the number
concentration. The chemical composition, particle size and the number
evolution of the ambient particles were measured continuously by the
LAAP-ToF-MS and an optical particle counter (OPC 1.109, Grimm, Germany).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <title>Detection efficiency</title>
      <p>The first step in the analysis of the processed raw data is to evaluate the
detection efficiency and to test the repeatability of the performed
analysis. To this end we need to introduce three different concepts of
instrumental efficiency. The detection efficiency (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is defined as a
product of the scattering efficiency of the laser diodes (<inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula>) and the
ionization efficiency of the excimer laser, also known as hit rate (HR):
            <disp-formula id="Ch1.E1" content-type="numbered"><mml:math display="block"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub><mml:mspace width="0.25em" linebreak="nobreak"/><mml:mo>(</mml:mo><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mi>E</mml:mi><mml:mo>×</mml:mo><mml:mtext>HR</mml:mtext><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          The scattering efficiency of the laser diodes is defined as the ratio
between the frequency of the detected particles by LAAP-ToF-MS and the
number of particles detected by the CPC per unit of time:
            <disp-formula id="Ch1.E2" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi>E</mml:mi><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mo>(</mml:mo><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>N</mml:mi><mml:mo>×</mml:mo><mml:mn>100</mml:mn></mml:mrow><mml:mrow><mml:mi>c</mml:mi><mml:mo>×</mml:mo><mml:mi>U</mml:mi><mml:mo>×</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> is the number of particles detected by the laser diodes of the
LAAP-ToF-MS, <inline-formula><mml:math display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula> is the number concentration [cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>], <inline-formula><mml:math display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula> is the aerosol
sampling flow rate [80 mL min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>] and <inline-formula><mml:math display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> is the time [minutes]. The hit
rate represents the ratio between the number of ablated/ionized particles
and the number of particles detected by the laser diodes:
            <disp-formula id="Ch1.E3" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mtext>HR</mml:mtext><mml:mspace width="0.25em" linebreak="nobreak"/><mml:mo>(</mml:mo><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>×</mml:mo><mml:mn>100</mml:mn></mml:mrow><mml:mi>N</mml:mi></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the number of ablated particles by the excimer laser, which
are, in turn, measured by ToF-MS yielding the associated mass spectra. The hit
rate depends on the threshold setting discriminating between the useful
spectra and total spectra. The intensities of real spectra depend on how
successful the laser ablation is. Laser ablation is a process that is hard
to replicate because the particles are randomly ablated. Thus, each particle
ablation event is different: (1) particles can be completely missed by the
laser pulse, (2) there can be partially ablated particles, and there can be (3) completely
ablated particles. The threshold is considered as a better discriminant than
other measures, such as spectral variance around the baseline, because it
allows low-intensity spectra to be included in the useful category, while
excluding spectra without distinct peaks, but which may have noisy
baselines. Inspection of excluded spectra is necessary for assessing the
correct value of the discriminant, i.e. the threshold.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Repeatability</title>
</sec>
<sec id="Ch1.S3.SSx1" specific-use="unnumbered">
  <title>Laboratory experiments</title>
      <p>The repeatability of the LAAP-ToF-MS instrument was tested by continuous
analysis of polystyrene latex (PSL) particles with a diameter of 450 nm and
a number concentration of 39 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The period of
repeatability tests is limited by the use of silica gel for particles drying
which is efficient for 53 h maximum. The repeatability test for both the
scattering efficiency and the hit rate, during the total time period of 53 h, is shown in Fig. 2.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Repeatability of the scattering efficiency (<inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula>) and the hit rate
(HR), during a time period of 53 h.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f02.png"/>

        </fig>

      <p>Every point in this figure corresponds to an average of detected particles
during a period of 3 min, which is a minimum time interval necessary to
attain sufficient number of detected particles. The scattering efficiency
varies between 0.6 and 1.9 % with an average of 1.1 %. The relative
standard deviation (RSD) is 17 % over the entire period of 53 h of
analysis. The hit rate exhibits good repeatability with an average value of
63 % and the RSD is 18 %. The scattering efficiency may decrease due
to larger particles passing through the critical orifice leading to a lower
flow rate in the inlet. The argon fluoride gas lifetime is another important
parameter which influences the hit rate. To test this parameter we generated
PSL particles with a diameter of 450 nm seven times for few minutes each and
then measured the hit rate. The first measurement was made immediately after
refilling the excimer laser and the time difference between the first
measurement and the last one was 12 days. Figure 3 shows the variation of
the hit rate with time. During the first week the hit rate is considered
constant, and from the eighth day it begins to decrease. Four weeks after
refilling the excimer laser the hit rate has dropped down to zero upon daily
use of the laser. According to the Laser Gam Ex5 specifications, laser
energy drops to 50 % after a shelf life of 12 days or after 12 million
pulses of ArF excimer laser. It seems that the shelf life is the limiting
factor when using the laser in association with single particle mass
spectrometer, at least in the diode trigger modes. Therefore, the data shown
in Fig. 3 correspond only to the first 12 days.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>The influence of the ArF gas life time on the evolution of the
laser hit rate (HR) over the time.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f03.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>The total particle number concentration detected by LAAP-ToF-MS
and OPC as a function of time; indicated are peaks corresponding to smoking
events (<bold>a</bold> and <bold>b</bold>) and to generation of TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> <bold>(c)</bold>. The total
PM<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>2.5</mml:mn></mml:msub></mml:math></inline-formula> results according to Air PACA are depicted in green.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f04.png"/>

        </fig>

      <p>The alignments of the scattering laser, aerodynamics lenses and the
ionization laser are done manually. Therefore, the average of scattering
efficiency and the hit rate are not the same as above for the experiments
discussed in the rest of this article. However, the values of repeatability
are expressed as relative standard deviation, which is not based on the
alignment. Therefore, for a good repeatability of the scattering efficiency
during a field campaign it is important to filter out large particles to
maintain a constant flow in the inlet for as long as possible, while for a
good repeatability of the hit rate it is strongly recommended that the
excimer laser is refilled once a week.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Ambient measurements</title>
      <p>Ambient aerosol measurements were performed on the campus of Aix-Marseille
University, situated in the city center of Marseille, France. The ambient
air was simultaneously sampled by LAAP-ToF-MS and OPC for a period of 6 days. A total of 62 813 bipolar mass spectra of single particles with
different sizes were recorded, among which 36433 spectra were useful.This
corresponded to a hit rate of 58 %. The number of particles detected
every 5 min by OPC, in the range between 265 nm and 3 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m (aerodynamic
diameter), is shown in Fig. 4. The total number of particles in the range
between 200 nm and 3 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m (aerodynamic diameter), detected every 5 min
by LAAP-ToF-MS is also depicted.</p>
      <p>As shown in Fig. 4, there are three peak events detected during this
monitoring campaign. Two of these particle number concentration spikes (a
and b), with maxima of 510.9 and 607.5 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, were detected on
7 January 2015 at 10:17 a.m. and 02:27 p.m., respectively, correspond to smoking
events near the building. The third peak (c), detected on 9 January 2015 is
related to the generation of TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> particles that we intentionally
introduced to the ambient air. Although, these phenomena only lasted a few
minutes they were detected by LAAP-ToF-MS. As can be observed from Fig. 4
there is a strong agreement between the three peaks detected by OPC and
LAAP-ToF-MS. Figure 4 also shows good agreement between the particle number
concentrations detected by LAAP-ToF-MS and the results obtained by the air
monitoring station (Air PACA) which is located at 1.6 km distance from our
sampling site. The results of Air PACA shown in Fig. 4 correspond to the
particle mass concentrations of PM<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>2.5</mml:mn></mml:msub></mml:math></inline-formula>. The absence of the three peaks
detected by LAAP-ToF-MS is logical since these peaks were caused by events
happening on the sampling site, as described above.</p>
      <p>The LAAP-ToF-MS measurements permit the identification and the monitoring of
several types of ions. Figure 10 shows the standard deviation of all
superimposed positive and negative ions mass spectra.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>The standard deviation of all positive and negative ion mass
spectra.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f05.png"/>

        </fig>

      <p>The negative ion mass spectra contain peaks associated with elemental carbon
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>24</mml:mn></mml:msup><mml:msubsup><mml:mtext>C</mml:mtext><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, nitrate (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>46</mml:mn></mml:msup><mml:msubsup><mml:mtext>NO</mml:mtext><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and sulfate
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>97</mml:mn></mml:msup><mml:msubsup><mml:mtext>HSO</mml:mtext><mml:mn mathvariant="normal">4</mml:mn><mml:mo>-</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. The presence of cyanide (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>26</mml:mn></mml:msup><mml:msup><mml:mtext>CN</mml:mtext><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>,
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>17</mml:mn></mml:msup><mml:msup><mml:mtext>OH</mml:mtext><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>35</mml:mn></mml:msup><mml:msup><mml:mtext>Cl</mml:mtext><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> can also be observed in Fig. 5.
In the positive ion spectra, the identified ion peaks are associated with
elemental carbon (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>12</mml:mn></mml:msup><mml:msubsup><mml:mtext>C</mml:mtext><mml:mn mathvariant="normal">1</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>24</mml:mn></mml:msup><mml:msubsup><mml:mtext>C</mml:mtext><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn>36</mml:mn></mml:msup><mml:msubsup><mml:mtext>C</mml:mtext><mml:mn mathvariant="normal">3</mml:mn><mml:mo>+</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and nitrate (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>30</mml:mn></mml:msup></mml:math></inline-formula>NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. Also potassium
(<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>39</mml:mn></mml:msup></mml:math></inline-formula>K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and to a lesser extent sodium (<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>23</mml:mn></mml:msup></mml:math></inline-formula>Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and silicon
(<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>28</mml:mn></mml:msup></mml:math></inline-formula>Si<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are present. The two specific ions related to TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
(<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>48</mml:mn></mml:msup></mml:math></inline-formula>Ti<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>64</mml:mn></mml:msup></mml:math></inline-formula>TiO<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were also observed. Other metal ions
such as lead, cerium and tin were also detected. The source apportionment of
these elements is outside the scope of this article.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <title>Parameters influencing the detection efficiency</title>
      <p>The detection efficiency of the particles can be influenced by the particle
number concentration in the sample flow, the size of the particles and the
chemical composition which can vary during the analysis. For this purpose,
five different number concentrations of ferric sulfate particles ranging
between 50 and 1200 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> were analyzed to evaluate the number
concentration effect. On the other hand five different sizes of PSL
particles (350, 450, 500, 600, 700 nm) were analyzed at the same particle
number concentration, 20 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, to assess the particle size
effect. Several repeat particle analyses were performed for each particle
size and particle number concentration.</p>
<sec id="Ch1.S3.SS4.SSS1">
  <title>Size effect</title>
</sec>
<sec id="Ch1.S3.SS4.SSSx1" specific-use="unnumbered">
  <title>Laboratory experiments</title>
      <p>To test the influence of particle size on the efficiency of the scattering
lasers and the hit rate of the excimer laser, five different sizes of PSL
particles (350, 450, 500, 600, 700 nm) were analyzed at constant particle
concentration of 20 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. For this particle concentration,
particles smaller than 350 nm are undetectable. The RSD for each particle
size, obtained from several replicate analyses, was compared to the
coefficient of variation corresponding to different particle sizes. The
particle size influences both the laser scattering efficiency and the hit
rate, and therefore the detection efficiency of LAAP-ToF-MS (Fig. 6), as
well.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>The scattering efficiency and the hit rate as a function of the
size of various PSL particles (350, 450, 500, 600, and 700 nm) at a particle
number concentration of 20 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The SPLAT and SPLAM scattering
detection efficiency results are given for comparison purpose.</p></caption>
            <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f06.png"/>

          </fig>

      <p>Figure 6 shows that the hit rate decreases with the particle diameter, from
93 to 83 % when the diameter decreases from 600 to 350 nm. This
behavior can be explained by the fact that smaller particles drift with
higher velocity. Thus, the ions generated by the ionization laser have a
higher kinetic energy resulting in aberrations (Murphy, 2007).
A maximum efficiency of 2.5 % for the laser scattering diodes was
observed for particles with a diameter of 450 nm and a lower efficiency for
smaller particles. When the size of the individual particles becomes
equivalent to or greater than the wavelength of the laser (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 403 nm), the scattering becomes a complex function with maxima and minima with
respect to the incident angle according to Mie theory
(Finlayson-Pitts and Pitts, 2000). As the diameter of the
particle drops below the wavelength of the scattering laser the scatter
intensity decreases rapidly, inversely proportional to the sixth power of
the particle diameter (1/<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>d</mml:mi><mml:mn mathvariant="normal">6</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.<?xmltex \hack{\newpage}?></p>
      <p>The scattering efficiency decreases again for particles with a
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>va</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
diameter greater than 600 nm as only the particles in the range between 80
and 600 nm are transmitted at 100 % by the aerodynamic lenses.</p>
      <p>A comparison between the scattering efficiencies of LAAP-ToF-MS, the single
particle laser ablation mass spectrometer (SPLAM) (Gaie-Levrel et al., 2012) and the single particle
laser ablation time-of-flight mass spectrometer (SPLAT)
(Zelenyuk and Imre, 2005) has been undertaken (Fig. 6). The
scattering efficiency of SPLAT decreases slightly for particles higher than
300 nm compared to SPLAM or LAAP-ToF-MS. The scattering efficiency shows the
same behavior for LAAP-ToF-MS and SPLAM which can be ascribed to the same
operating wavelengths of the scattering lasers (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 405 nm for
SPLAM). However, the scattering efficiency of SPLAM is much higher than that
of LAAP-ToF-MS, which can be explained by the much smaller distance
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>d</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> between the two scattering lasers within SPLAM, i.e. 4.1 vs.
11.5 cm for LAAP-ToF-MS. Another advantage of SPLAM compared to the
LAAP-ToF-MS is the higher value of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> which is ascribed to the small
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>d</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. The distance between the two scattering lasers influences the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for a particle size of 350 nm and a velocity of 103 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of LAAP-ToF-MS is 618 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> whereas the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of SPLAM for the same particle size and a velocity of 100 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> is 1.7 <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The ratio between
the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>d</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of SPLAM and LAAP-ToF-MS is 2.87 and is similar to the ratio
between the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of SPLAM and LAAP-ToF-MS (2.75), which explains that
divergence of the particle beam increases with <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>d</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and is more
pronounced for smaller particle sizes. In comparison to SPLAM, which uses
ionization laser at <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 248 nm, the ablation of the particles by
LAAP-ToF-MS occurs at 193 nm which means that even metals can be ionized. A
big advantage of LAAP-ToF-MS compared to SPLAM or SPLAT is the much higher
hit rate. For LAAP-ToF-MS the effective hit rate is 90 % for PSL
particles and 58 % for atmospheric particles, while the hit rate of SPLAT
is only 8 % for atmospheric particles. Also, LAAP-ToF-MS is an easily
transportable tool for fast field deployment.</p>
      <p>Finally, a comparison was carried out with another similar instrument named
Aerosol Time of Flight Mass Spectrometer (ATOFMS)
(Gard et al., 1997). This instrument operates at
266 nm unlike the LAAP-TOF-MS (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 193 nm). The lower wavelength
of the ionization laser enables the analysis of trace metals. There are few
papers in the literature referring to the development of ATOFMS associated
with detection of different size of particles
(Allen et al., 2000; Su et al.,
2004; Zauscher et al., 2011). For example,
the detection efficiency of ATOFMS is highest for the ambient particles with
diameter of 1.8 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m and decreases for about 3 orders of magnitude
for the lowest size that is 320 nm (Allen et al., 2000). Su et al. (2004)
reported that ATOFMS is able to detect small size particles ranging between
70 and 300 nm with detection efficiency varying between 0.3 and 44.5 %.</p>
      <p>In any case, it should be noted that size has an impact on the detection
efficiency as we mentioned above.</p>
</sec>
<sec id="Ch1.S3.SS4.SSSx2" specific-use="unnumbered">
  <title>Ambient measurements</title>
      <p>We assessed the size effect of ambient aerosols on the hit rate and on the
scattering efficiency. For each size in the range between 10 nm and 2.5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m (aerodynamic diameter) we are showing (Fig. 7) the total number
of particles detected by the LAAP-ToF-MS during the measurements by the
scattering lasers and also the total number of ionized particles during the
measurements.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p><bold>(a)</bold> Total number of particles detected and ionized during the
ambient measurements in different size range and the hit rate corresponding
to each size range (aerodynamic diameter). <bold>(b)</bold> The evolution of the particle
number concentration of the ambient aerosol detected by the OPC during the
measurements for different size range depicted between 275 and 2500 nm
(aerodynamic diameter). <bold>(c)</bold> The evolution of the number of particles ionized
during the ambient measurements in different size range depicted between 10 and 2500 nm.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f07.png"/>

          </fig>

      <p>The optimum particle size for detection is in the range between 400 and
600 nm (aerodynamic diameter), in the same range as the wavelength of
ionization (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 403 nm). The Fig. 7b shows the time evolution of
the particle concentration. It can be seen that in the ambient air the
maximum particle number concentration corresponds to the lowest size range
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>va</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> &lt; 300 nm). The comparison between the results of the Fig. 7a and the results of the Fig. 7b confirm the conclusions from laboratory
tests that the scattering efficiency is affected by the size of particles
and its maximum is influenced according to the Mie theory.</p>
      <p>In addition, Fig. 7a shows that the hit rate for ambient aerosol as
function of the size range is different from the laboratory results. This
difference can be ascribed to the effect of chemical composition which is
detailed in Sect. 3.4.3.</p>
      <p>Figure 7c shows the evolution of the number of spectra in each size range
every 5 min during the measurements. Since the scattering efficiency and the
hit rate are affected by the particle size, so is the detection efficiency
(Fig. 7c). Most of the usable spectra are in the range between 400 and
500 nm. The effect of particle size is overcome by clustering the spectra
obtained for each size range and multiplying the number of ionized particle
by the detection efficiency (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mi mathvariant="italic">%</mml:mi><mml:mo>=</mml:mo><mml:mi>E</mml:mi><mml:mo>×</mml:mo><mml:mtext>HR</mml:mtext></mml:mrow></mml:math></inline-formula>) corresponding to each size range.</p>
</sec>
<sec id="Ch1.S3.SS4.SSS2">
  <title>Effect of the distance between the two scattering laser</title>
</sec>
<sec id="Ch1.S3.SS4.SSSx3" specific-use="unnumbered">
  <title>Laboratory experiments</title>
      <p>We investigated the transmission efficiency between the first and the second
scattering laser, considering that the two laser diodes have the same
characteristics. However, the first scattering laser exhibits a much higher
efficiency (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>d1</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> than the second scattering laser (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>d2</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. This
observation is a consequence of the divergence of the particles between the
two laser diodes. In order to understand the magnitude of the particle
divergence we researched into the relationship between the ratio of
scattering efficiencies <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>d2</mml:mtext></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>E</mml:mi><mml:mtext>d1</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (%) and the particle size.
Figure 8 displays a parabolic dependency of the ratio of the scattering
efficiencies with the size of the PSL particles generated, indicating that
velocity indeed plays an important role.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>The ratio <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>E</mml:mi><mml:mtext>d2</mml:mtext></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>E</mml:mi><mml:mtext>d1</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (%) as a function of the PSL
particle size.</p></caption>
            <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f08.png"/>

          </fig>

      <p>Smaller particles with a diameter of 350 nm exhibit higher velocities and
diverge much more than bigger particles with a size of 600 nm. This curve
also explains the lower scattering efficiency of particles with a diameter
of 350 nm displayed in Fig. 8.<?xmltex \hack{\newpage}?></p>
      <p>In this study there are no information about the values of detection limit
in number concentration for each particle size, because this limit is
different for each type of particle.</p>
      <p>Liu et al. (1995) have demonstrated that the morphology of the particles is
a very important parameter that influences the divergence of particles
during their drift between the two scattering lasers. In fact, the
divergence of the particles increases for non-spherical particles implying a
reduction of the scattering efficiency of the laser diodes.<?xmltex \hack{\newpage}?></p>
</sec>
<sec id="Ch1.S3.SS4.SSS3">
  <title>Chemical composition</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p><bold>(a)</bold> Different clusters of particles and their evolution during the
measurements in different size range between 10 and 2500 nm. <bold>(b)</bold> The
standard deviation of the total hit rate calculated every 5 min during the
measurements for each size range.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f09.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS4.SSSx4" specific-use="unnumbered">
  <title>Laboratory experiments</title>
      <p>The ionization efficiency of the excimer laser depends on the chemical
composition of the particles (Pratt and Prather, 2011).
Experiments were carried out with two types of particles containing ammonium
nitrate and ammonium sulfate in order to assess the effect of chemical
composition on LAAP-ToF-MS performance. Although, both particles have the
same density (1.74 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03 g cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and the same shape factor
(0.8), the hit rate is completely different. Because sulfate resists
ionization (Kane and Johnston, 2001), the hit rate
decreases from 60 % for the ammonium nitrate particles to 21 % for the
ammonium sulfate particles. The hit rate also strongly depends on the
alignment of the ionization laser and on the delay time. A change in the
chemical particle composition induces a change in the refractive index.
Yoo et al. (1996) evaluated the influence of the refractive
index on the scattering efficiency of laser diodes. The higher the
refractive index, the smaller the particles that can be measured. Moffet and
Prather (2005) developed a method to calibrate the light scattering signal
collected from individual particles using the Mie theory to calculate the
partial scattering cross-section as a function of the particle diameter. The
particle density was used to fit the partial scattering cross-section to the
Mie theory (Moffet and Prather, 2005).<?xmltex \hack{\newpage}?></p>
</sec>
<sec id="Ch1.S3.SS4.SSSx5" specific-use="unnumbered">
  <title>Ambient measurements</title>
      <p>The complete set of spectra can be clustered using the software MATLAB
version 2013b into different chemical classes of particles.</p>
      <p>Figure 9a illustrates four of these clusters and their repartition every 5 min
in different size range. These clusters were chosen as example to show
different kind of inorganics particles, and one cluster with major
carbonaceous ions. The inorganic particles are those containing sulfate and
nitrate that are considered as secondary particles and particles containing
TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> that are rather considered as primary particle
(Delmas et al., 2005). It can be observed that nitrosium ion
NO<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula>  30) is abundant in the first cluster and potassium ion
K<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 39) is abundant in the second cluster. The third cluster
represents particles with high signals of carbon, and in the fourth cluster
characteristic peak of carbon C<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula>  12), C<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 24),
C<inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>/</mml:mo><mml:mi>z</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 36) dominate.</p>
      <p>Every cluster has its own repartition, which is defined as a number of
particles detected every 5 min in different size range. Thus, the chemical
composition of the particles detected during the measurements is not
constant. To show the effect of chemical composition on the hit rate we
calculated the hit rate of particles with different size range every 5 min
during the entire time of the measurements. Then we calculated the RSD of
the hit rate for each size range. The RSD varies between 51 % for the
aerodynamic size range between 400 and 500 nm to 96 % for aerodynamic
size range between 800 and 1000 nm (Fig. 9b). Comparing the RSD of
ambient particles to the RSD calculated of spherical PSL particles during
the laboratory tests (Sect. 3.2, repeatability 18 %), it can be
concluded that chemical composition of particles affects the hit rate.</p>
      <p>The effect of chemical composition on the hit rate was assessed for
particles ranging between 400 and 500 nm (aerodynamic diameter). Figure 10a shows the evolution of the scattering efficiency and the hit rate for
the detected particles between 400 and 500 nm (aerodynamic diameter).</p>

      <?xmltex \floatpos{h!}?><fig id="Ch1.F10" specific-use="star"><caption><p><bold>(a)</bold> The scattering laser <inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (%) and the evolution of the hit rate
HR (%) of the LAAP-ToF-MS for particles having a size between 400 and
500 nm. <bold>(b)</bold> The evolution of the sulphate particles and the particles
containing TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. <bold>(c)</bold> The evolution of the elemental carbon particles.
<inline-formula><mml:math display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>G</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> represent the influence of the percentage of sulphate
containing particles on the HR (%). <inline-formula><mml:math display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> corresponds to the maximum
concentration of TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and very low values of scattering efficiency and
hit rate. <inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> represent the influence of the percentage of
carbonaceous particles on the scattering efficiency.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f10.png"/>

          </fig>

      <p>It can be seen that the hit rate and the scattering efficiency are not
constant all the time. As was already seen for a single type of particles
the instrument exhibits good repeatability. Therefore the variation in HR (%) and <inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (%) is mainly the consequence of the variation of the
chemical composition. In Fig. 10a and c the variation of the number of
three types of particles is represented. The first type (Fig. 10b)
represents the particles having an aerodynamic size between 400 and 500 nm and containing sulfate (cluster 1 and 2). The second type represents the
particles having an aerodynamic size between 400 and 500 nm and
containing a TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (cluster 3). The third type (Fig. 10c) (cluster 4)
represents the carbonaceous particles having a size between 400 and 500 nm. The increase and decrease of the percentage of particles containing
sulfate is illustrated by the peak and trough (points <inline-formula><mml:math display="inline"><mml:mi>G</mml:mi></mml:math></inline-formula>) depicted in Fig. 10b. The points <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>G</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> depicted in Fig. 10a correspond to a decrease of hit
rate according to the peak of sulfate and an increase of hit rate caused by
the decrease of the percentage of sulfate. The point A in Fig. 10b shows
the highest percentage of sulfate in parallel to a low hit rate shown in
Fig. 10a. The point <inline-formula><mml:math display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> which corresponds to a maximum concentration of
TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (Fig. 10b) shows a very low value of scattering efficiency and
hit rate (Fig. 10a). Regarding the points <inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> the number of
carbonaceous particles decreases while the number of TiO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> particles
increases. For these three points the scattering efficiency decreases, as
well. The evolution of the carbonaceous particles before and after <inline-formula><mml:math display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>
exhibits a similar behavior as the hit rate. Despite the effect that other
particles could induce on these parameters, the comparison made in Fig. 10
emphasizes the importance of chemical composition toward the hit rate and
the scattering efficiency.</p>
      <p>Therefore, a simple separation by size range and a correction of the
detection efficiency according to the size can no longer lead to the real
concentration number because of the variation of the chemical composition.
Thus, the average of the detection efficiency calculated for each size range
is no longer adequate for a time interval of few minutes. Therefore, it is
necessary to have a particle counter (like an OPC) to calculate the
detection efficiency (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi>n</mml:mi><mml:mo>,</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> for each size range for every time
interval. On the other hand, the total amount of particles must be separated
in different classes (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> based on their chemical composition. These
classes must be separated in different size ranges (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi>n</mml:mi></mml:mrow></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. Every
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>n</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>, according to its distribution during the time, must be multiplied
by its corresponding <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi>n</mml:mi><mml:mo>,</mml:mo><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>. The description of this method is out of
scope of this article and therefore will be detailed and validated by
comparison to another instrument elsewhere.</p>
</sec>
<sec id="Ch1.S3.SS4.SSSx6" specific-use="unnumbered">
  <title>Size calibration</title>
      <p>Ambient measurements showed that a significant amount of particles could be
related to particles with a diameter less than 350 nm, which is not the case
for experiments with the spherical PSL particles during the calibration of
the instrument. This can be explained by the fact that particles in ambient
air have different optical characteristics, enabling them to scatter the
light more efficiently at the scattering wavelength used in this instrument
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 405 nm). Therefore, in order to precisely determine the
diameter of the particles we carried out measurements related to the size
calibration of the particles.</p>
      <p>When a particle drifts through the particle-time-of-flight (P-ToF) chamber,
it crosses the beam of two light scattering lasers. Upon passing the first
laser beam, the scattered light from the particle is detected by the first
photomultiplier tube (PMT). As explained above in the description of
LAAP-ToF-MS, the flight time of an individual particle between the first and
second scattering lasers is used to determine its velocity and associated
vacuum-aerodynamic diameter. For the given beam separation distance of 11.5 cm between the two scatterings lasers the particle velocity was determined
and plotted against the aerodynamic particle diameter
(Fig. 11).<?xmltex \hack{\newpage}?></p>
      <p>Figure 11 shows the calibration curve for aerodynamic particle sizing
measurements carried out for five certified sizes of PSL particles (a) and
five different sizes of ammonium nitrate particles (b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><caption><p>Plot of aerodynamic particle size versus particle velocity for <bold>(a)</bold>
PSL particles and <bold>(b)</bold> ammonium nitrate particles.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f11.png"/>

          </fig>

      <p>The experimental data were fitted with a first order exponential decay
curve. The smallest PSL particles that can be precisely size-calibrated have
a diameter of 350 nm. However, the fitting equation depicted in Fig. 11
can serve to roughly estimate the size of atmospheric particles with an
aerodynamic diameter smaller than 350 nm.</p>
</sec>
<sec id="Ch1.S3.SS4.SSS4">
  <title>Particle number concentration effect</title>
</sec>
<sec id="Ch1.S3.SS4.SSSx7" specific-use="unnumbered">
  <title>Laboratory experiments</title>
      <p>Prior to study the effect of number concentration, an upper limit of the
particle number concentration (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> has been determined for each size
to ensure that below this limit only a single particle is present in the
space between the two scattering lasers. The obtained results presented in
Fig. 12 indicate that <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is linear and inversely proportional to
the particle size.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12"><caption><p>Variation of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for particles with different aerodynamic
diameters.</p></caption>
            <?xmltex \igopts{width=184.942913pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f12.png"/>

          </fig>

      <p>For a particle size of 350 nm, which is the smallest particle size that has
been tested, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is <inline-formula><mml:math display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 618 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. For higher
particle number concentrations, more particles are present in the space
between the two scattering lasers which indicates that smaller particulate
matter with <inline-formula><mml:math display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula> &lt; 200 nm can be detected but the obtained information
corresponds to two different particles detected in very small frame of time.
In other words, the spectrum obtained relates to a single, real particle,
but the size information does not. Hence, the <inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (%) should decrease
because the data of one single particle is recorded instead of two. In order
to study the effect of a concentration higher than <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> on the <inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (%), ferric sulfate particles (450 nm) were generated at 5 different
concentrations between 50 and 1200 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The higher level
1200 was chosen according to the value of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> found at 562 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for particles with diameter of 450 nm. The influence of particle
concentration on the detection efficiency was assessed by comparison of the
obtained RSD values based on at least three independent measurements.</p>
      <p>Concerning the scattering efficiency <inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (%), it was expected that it
decreases, but the RSD between the different concentrations is lower than the
RSD between the repetitions for the same concentration, so the <inline-formula><mml:math display="inline"><mml:mi>E</mml:mi></mml:math></inline-formula> (%) is
considered constant. To study the effect of concentration number higher than
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> on the detection of particles lower than 200 nm to which the
scattering lasers are blind, the percentage of these particles for the
different concentration numbers studied was assessed (Fig. 13). Once the
concentration is higher than the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, 562 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, the
percentage of the particles with size lower than 200 nm increases from 1 % for a concentration number of 40 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> to 19 % for a
concentration number of 612 particles cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. This means that the
detected particle with diameter lower than 200 nm corresponds to the
detection of two different particles by the two scattering lasers.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13"><caption><p>The hit rate and the scattering efficiency of 450 nm ferric
sulfate particles as a function of the particle number concentration and the
percentage of the particles having a size lower than 200 nm for different
concentrations of generated particles.</p></caption>
            <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f13.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS4.SSSx8" specific-use="unnumbered">
  <title>Ambient measurements</title>
      <p>The detected particles in the range between 250 and 350 nm (aerodynamic
diameter) could be the result of two phenomena. The first one is the
presence of a total concentration number higher than the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for all
the particle sizes and the second one is the increase of the refraction
index of the particles. A comparison of the results obtained by the OPC and
the LAAP-ToF-MS, that has been undertaken for the particles ranging between
250 and 350 nm shows the reason why these particles were detected. The
comparison of the results is depicted in Fig. 14a where a similar
evolution of the number of particles is shown for the two types of
measurements. The figure indicates that the particles between 250 and 350 nm detected by the LAAP-ToF-MS are not a consequence of the total
concentration of particles which was higher than the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> during the 6 days of measurements.</p>
      <p>Considering that the scattering laser is blind with respect to the particles
with <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>va</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>&lt;200 nm and that the aerodynamic lenses cannot
transmit particles with <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>va</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> &lt; 80 nm, the effect of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> was
evaluated as shown in Fig. 14b. Particles having an aerodynamic diameter
between 0 and 80 and 0 and 200 nm were detected mainly when the
number concentration of particles increased (Fig. 14b).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p>A recently developed LAAP-ToF-MS instrument has been calibrated and
characterized.</p>
      <p>In this work the performance of LAAP-TOF-MS has been characterized on
standard spherical particles under controlled laboratory conditions and on
ambient particles.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14"><caption><p><bold>(a)</bold> The number of particles sizes between 200–300 nm detected by
the LAAP-ToF-MS every 50 min and the number concentration detected every 5 min
by the OPC for the particles sizes 250–300 nm. <bold>(b)</bold> the number of
particles having a size between 0–200 and 0–80 nm detected by the
LAAP-ToF-MS every 5 min.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/9/1947/2016/amt-9-1947-2016-f14.png"/>

      </fig>

      <p>Prolonged on-line measurements revealed that the detection efficiency of
LAAP-ToF-MS and the hit rate exhibits good repeatability with RSD of 17
and 18 %, respectively.</p>
      <p>A comparison between the detection efficiency of LAAP-ToF-MS and the
scattering efficiency of single particle laser ablation mass spectrometer
(SPLAM) showed that the detection efficiency as a function of particle size
is very similar.</p>
      <p>A maximum detection efficiency of 2.5 % was observed for particles with a
diameter of 450 nm with a decreasing efficiency towards smaller sized
particles. Therefore, to further increase the accuracy of the data it is
essential to improve the detection efficiency for smaller particle
sizes.<?xmltex \hack{\newpage}?></p>
      <p>Many parameters such as particle number concentration in the sample flow,
the size of the particles, and the chemical composition, could change during
a field campaign and affect the detection efficiency of the LAAP-ToF-MS. For
this reason, the changing in the performances of this instrument caused by
the parameters cited above was studied using laboratory and atmospheric
particles. The temporal evolution of the particles was validated during the
ambient aerosol measurements performed at the campus of Aix-Marseille
University, situated in the city center of Marseille, France. The obtained
results are in good agreement with the data obtained by optical particle
counter and the PM<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>2.5</mml:mn></mml:msub></mml:math></inline-formula> data obtained by the local air monitoring station.
Also several metal ions were detected during this field campaign such as
lead, cerium, titanium and tin.</p>
      <p>Therefore, LAAP-ToF-MS is a suitable instrument for on-line monitoring of
atmospheric particles that can provide information on size distribution,
number concentration and chemical composition of the detected particles.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p>This work is a contribution to the LABEX SERENADE (no.
ANR-11-LABX-0064) funded by the “Investissements d'Avenir”, French
Government program of the French National Research Agency (ANR) through the
A*Midex project (No. ANR-11-IDEX-0001-02).</p><p>The authors gratefully acknowledge the support of this work by French
National Agency of Research within the ANR-10-EQPX-39-01.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: P. Herckes</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>
Allen, J. O., Fergenson, D. P., Gard, E. E., Hughes, L. S., Morrical, B.
D., Kleeman, M. J., Gross, D. S., Gälli, M. E., Prather, K. A., and Cass,
G. R.: Particle Detection Efficiencies of Aerosol Time of Flight Mass
Spectrometers under Ambient Sampling Conditions, Environ. Sci. Technol., 34,
211–217, 2000.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>
Buzea, C., Pascheco, I. I., and Robbie, K. Nanomaterials and Nanoparticles:
Sources and Toxicity, Biointerphases, 2, 17–172, 2007.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>
Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D.,
Alfarra, M. R., Qi Zhang, Q., Onasch, B., Drewnick, F., Coe, H.,
Middlebrook, A. M., Delia, A., Williams, L. R., Trimborn, A. M.,
Northway, M. J., DeCarlo, P. F., Kolb, C. E., Davidovits, P., and Worsnop, D. R.:
Chemical and Microphysical Characterization of Ambient Aerosols with the
Aerodyne Aerosol Mass Spectrometer, Mass Spectrom. Rev., 26, 185–222,
2007.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>
Delmas, R., Mégie, G., and Peuch, V. H.: physique et chimie de
l'atmosphère, edited by: Belin, Paris, France, 2005.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>
Dockery, D. W. and Pope, C. A.: Health Effects of Fine Particulate Air
Pollution: Lines That Connect, J. Air. Waste. Manage., 56, 709–742,
2006.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>
Finlayson-Pitts, B. and Pitts, J.: Atmospheric Chemistry, Fundamentals and
Experimental Techniques, Academic press, CA, USA, 2000.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>Gaie-Levrel, F., Perrier, S., Perraudin, E., Stoll, C., Grand, N., and
Schwell, M.: Development and characterization of a single particle laser
ablation mass spectrometer (SPLAM) for organic aerosol studies, Atmos. Meas.
Tech., 5, 225–241, <ext-link xlink:href="http://dx.doi.org/10.5194/amt-5-225-2012" ext-link-type="DOI">10.5194/amt-5-225-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>
Gard, E., Mayer, J. E., Morrical, B. D., Dienes, T., Fergenson, D. P., and
Prather, A. K.: Real-Time Analysis of Individual Atmospheric Aerosol
Particles: Design and Performance of a Portable ATOFMS, Anal. Chem., 69,
4083–4091, 1997.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D. and Pozze, A.: The
Contribution of Outdoor Air Pollution Sources to Premature Mortality on a
Global Scale, Nature International Weekly Journal of Science, 525, 367–371,
2015. </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
Liu, P., Ziemann, P. J., Kittelson, D. B., and McMurry, P. H.: Generating
Particle Beams of Controlled Dimensions and Divergence: II. Experimental
Evaluation of Particle Motion in Aerodynamic Lenses and Nozzle Expansions,
Aerosol Sci. Tech., 22, 314–324, 1995.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>
Kane, D. B. and Johnston, M. V.: Enhancing the Detection of Sulfate Particles
for Laser Ablation Aerosol Mass Spectrometry, Anal Chem., 73, 5365–5369, 2001.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>
Moffet, R. C. and Prather, A. K.: Extending ATOFMS Measurements To Include
Refractive Index and Density, Anal. Chem., 77, 6535–6541, 2005.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>
Murphy, D.: The Design of Single Particle Laser Mass Spectrometers, Mass
Spectrom. Rev., 26, 150–165, 2007.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>
Poeschl, U.: Atmospheric Aerosols: Composition, Transformation, Climate and
Health Effects, Angew. Chem. Int. Edit., 44, 7520–7540, 2005.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>
Pratt, K. and Prather, K.: Mass Spectrometry of Atmospheric Aerosols-Recent
Developments and Applications. Part II: On-Line Mass Spectrometry
Techniques, Mass Spectrom. Rev., 31, 17–48, 2011.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>
Su, Y., Sipin, M., Furutani, H., and Prather, K.: Development and
Characterization of an Aerosol Time-of-Flight Mass Spectrometer with
Increased Detection Efficiency, Anal. Chem., 76, 712–719, 2004.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>
Yoo, S., Chae, S., and Liu, B.: Influence of Particle Refractive Index on the
Lower Detection Limit of Light Scattering Aerosol Counters, Aerosol Sci.
Technol., 25, 1–10, 1996.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>
Zauscher, M. D., Moore, M. J. K., Lewis, G. S., Hering, S. V., and Prather,
K. A.: Size Range Critical for Cloud Formation, Anal. Chem., 2271–2278, 83,
2011.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>
Zelenyuk, A. and Imre, D.: Single Particle Laser Ablation Time-of-Flight
Mass Spectrometer: An Introduction to SPLAT, Aerosol Sci. Technol., 39,
554–568, 2005.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>The performance and the characterization of laser ablation aerosol particle time-of-flight mass spectrometry (LAAP-ToF-MS)</article-title-html>
<abstract-html><p class="p">Hyphenated laser ablation–mass spectrometry instruments have been recognized
as useful analytical tools for the detection and chemical characterization
of aerosol particles. Here we describe the performances of a laser ablation
aerosol particle time-of-flight mass spectrometer (LAAP-ToF-MS) which was
designed for aerodynamic particle sizing using two 405 nm scattering lasers
and characterization of the chemical composition of single aerosol particle
via ablation/ionization by a 193 nm excimer laser and detection in a bipolar
time-of-flight mass spectrometer with a mass resolving power of <i>m</i>/Δ<i>m</i> &gt; 600.</p><p class="p">We describe a laboratory based optimization strategy for the development of
an analytical methodology for characterization of atmospheric particles
using the LAAP-ToF-MS instrument in combination with a particle generator, a
differential mobility analyzer and an optical particle counter. We
investigated the influence of particle number concentration, particle size
and particle composition on the detection efficiency. The detection
efficiency is a product of the scattering efficiency of the laser diodes and
the ionization efficiency or hit rate of the excimer laser. The scattering
efficiency was found to vary between 0.6 and 1.9 % with an average of 1.1 %;
the relative standard deviation (RSD) was 17.0 %. The hit rate
exhibited good repeatability with an average value of 63 % and an RSD of
18 %. In addition to laboratory tests, the LAAP-ToF-MS was used to sample
ambient air during a period of 6 days at the campus of Aix-Marseille
University, situated in the city center of Marseille, France. The optimized
LAAP-ToF-MS methodology enables high temporal resolution measurements of the
chemical composition of ambient particles, provides new insights into
environmental science, and a new investigative tool for atmospheric
chemistry and physics, aerosol science and health impact studies.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Allen, J. O., Fergenson, D. P., Gard, E. E., Hughes, L. S., Morrical, B.
D., Kleeman, M. J., Gross, D. S., Gälli, M. E., Prather, K. A., and Cass,
G. R.: Particle Detection Efficiencies of Aerosol Time of Flight Mass
Spectrometers under Ambient Sampling Conditions, Environ. Sci. Technol., 34,
211–217, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Buzea, C., Pascheco, I. I., and Robbie, K. Nanomaterials and Nanoparticles:
Sources and Toxicity, Biointerphases, 2, 17–172, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D.,
Alfarra, M. R., Qi Zhang, Q., Onasch, B., Drewnick, F., Coe, H.,
Middlebrook, A. M., Delia, A., Williams, L. R., Trimborn, A. M.,
Northway, M. J., DeCarlo, P. F., Kolb, C. E., Davidovits, P., and Worsnop, D. R.:
Chemical and Microphysical Characterization of Ambient Aerosols with the
Aerodyne Aerosol Mass Spectrometer, Mass Spectrom. Rev., 26, 185–222,
2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Delmas, R., Mégie, G., and Peuch, V. H.: physique et chimie de
l'atmosphère, edited by: Belin, Paris, France, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Dockery, D. W. and Pope, C. A.: Health Effects of Fine Particulate Air
Pollution: Lines That Connect, J. Air. Waste. Manage., 56, 709–742,
2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Finlayson-Pitts, B. and Pitts, J.: Atmospheric Chemistry, Fundamentals and
Experimental Techniques, Academic press, CA, USA, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Gaie-Levrel, F., Perrier, S., Perraudin, E., Stoll, C., Grand, N., and
Schwell, M.: Development and characterization of a single particle laser
ablation mass spectrometer (SPLAM) for organic aerosol studies, Atmos. Meas.
Tech., 5, 225–241, <a href="http://dx.doi.org/10.5194/amt-5-225-2012" target="_blank">doi:10.5194/amt-5-225-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Gard, E., Mayer, J. E., Morrical, B. D., Dienes, T., Fergenson, D. P., and
Prather, A. K.: Real-Time Analysis of Individual Atmospheric Aerosol
Particles: Design and Performance of a Portable ATOFMS, Anal. Chem., 69,
4083–4091, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D. and Pozze, A.: The
Contribution of Outdoor Air Pollution Sources to Premature Mortality on a
Global Scale, Nature International Weekly Journal of Science, 525, 367–371,
2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Liu, P., Ziemann, P. J., Kittelson, D. B., and McMurry, P. H.: Generating
Particle Beams of Controlled Dimensions and Divergence: II. Experimental
Evaluation of Particle Motion in Aerodynamic Lenses and Nozzle Expansions,
Aerosol Sci. Tech., 22, 314–324, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Kane, D. B. and Johnston, M. V.: Enhancing the Detection of Sulfate Particles
for Laser Ablation Aerosol Mass Spectrometry, Anal Chem., 73, 5365–5369, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Moffet, R. C. and Prather, A. K.: Extending ATOFMS Measurements To Include
Refractive Index and Density, Anal. Chem., 77, 6535–6541, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Murphy, D.: The Design of Single Particle Laser Mass Spectrometers, Mass
Spectrom. Rev., 26, 150–165, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Poeschl, U.: Atmospheric Aerosols: Composition, Transformation, Climate and
Health Effects, Angew. Chem. Int. Edit., 44, 7520–7540, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Pratt, K. and Prather, K.: Mass Spectrometry of Atmospheric Aerosols-Recent
Developments and Applications. Part II: On-Line Mass Spectrometry
Techniques, Mass Spectrom. Rev., 31, 17–48, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Su, Y., Sipin, M., Furutani, H., and Prather, K.: Development and
Characterization of an Aerosol Time-of-Flight Mass Spectrometer with
Increased Detection Efficiency, Anal. Chem., 76, 712–719, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Yoo, S., Chae, S., and Liu, B.: Influence of Particle Refractive Index on the
Lower Detection Limit of Light Scattering Aerosol Counters, Aerosol Sci.
Technol., 25, 1–10, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Zauscher, M. D., Moore, M. J. K., Lewis, G. S., Hering, S. V., and Prather,
K. A.: Size Range Critical for Cloud Formation, Anal. Chem., 2271–2278, 83,
2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Zelenyuk, A. and Imre, D.: Single Particle Laser Ablation Time-of-Flight
Mass Spectrometer: An Introduction to SPLAT, Aerosol Sci. Technol., 39,
554–568, 2005.
</mixed-citation></ref-html>--></article>
