# The performance and the characterization of laser ablation aerosol particle time-of-flight mass spectrometry (LAAP-ToF-MS)

R. Gemayel, S. Hellebust, B. Temime-Roussel, N. Hayeck, J. T. van Elteren, Henri Wortham, S. Gligorovski

► To cite this version:

R. Gemayel, S. Hellebust, B. Temime-Roussel, N. Hayeck, J. T. van Elteren, et al.. The performance and the characterization of laser ablation aerosol particle time-of-flight mass spectrometry (LAAP-ToF-MS). Atmospheric Measurement Techniques, 2016, 9 (4), pp.1947-1959. 10.5194/amt-9-1947-2016. hal-01336711

HAL Id: hal-01336711

https://hal.science/hal-01336711

Submitted on 23 Apr 2018

HAL is a multi-disciplinary open access
archive for the deposit and dissemination of sci-
entific research documents, whether they are pub-
lished or not. The documents may come from
teaching and research institutions in France or
abroad, or from public or private research centers.

L'archive ouverte pluridisciplinaire HAL, est
destinée au dépôt et à la diffusion de documents
scientifiques de niveau recherche, publiés ou non,
émanant des établissements d'enseignement et de
recherche français ou étrangers, des laboratoires
publics ou privés.

<figure><img src="image_1.png" /></figure>

Distributed under a Creative Commons Attribution 4.0 International License
<figure><img src="image_2.png" /></figure>

# The performance and the characterization of laser ablation aerosol particle time-of-flight mass spectrometry (LAAP-ToF-MS)

Rachel Gemayel<fnref n="1" />, Stig Hellebust<fnref n="1" />,ᵃ, Brice Temime-Roussel<fnref n="1" />, Nathalie Hayeck<fnref n="1" />,ᵇ, Johannes T. Van Elteren<fnref n="2" />, Henri Wortham<fnref n="1" />, and Sasho Gligorovski<fnref n="1" />

*Correspondence to:* Rachel Gemayel (rachel.gemayel@etu.univ-amu.fr) and Sasho Gligorovski (saso.gligorovski@univ-amu.fr)

Received: 18 November 2015 – Published in Atmos. Meas. Tech. Discuss.: 20 January 2016

Revised: 6 April 2016 – Accepted: 13 April 2016 – Published: 2 May 2016

**Abstract.** 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 *m*/Δ*m* > 600.

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.

## 1 Introduction

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 µm in diameter. Between these particles, those with a diameter larger than 5 µm 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

<footnote n="1">¹Aix Marseille Université, CNRS, LCE UMR 7376, 13331, Marseille, France</footnote>

<footnote n="2">²National Institute of Chemistry, Slovenia, Laboratory for Analytical Chemistry, Hajdrihova 19, 1000 Ljubljana, Slovenia</footnote>

<footnote>ᵃnow at: Central Statistics Office, Cork, Ireland</footnote>

<footnote>ᵇnow at: Université de Lyon 1, CNRS, UMR 5256, IRCELYON, Institut de Recherches sur la Catalyse et l'Environnement de Lyon, Villeurbanne, 69626, France</footnote>
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<sub>2.5</sub> (particulate matter). This figure could double by 2050 if emissions continue to rise at the current rate.

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.

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.

## 2 Experimental

### 2.1 Description of the LAAP-ToF-MS instrument

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.

The aerosol particles leave the differential pumping stages (inlet) and enter into the detection region where they pass through the region irradiated with light (λ = 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 ~ 10 ns) enabling ablation of single particles every 4 µs. 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).

After ablation, the charged ions are extracted into a bipolar time-of-flight mass spectrometer (Tofwerk, BTOF) with a resolving power of *m*/*Δm* ≥ 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.

### 2.2 Experimental setup

#### 2.2.1 Laboratory experiments

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<sup>-1</sup>, and ammonium nitrate particles (ACROS organics) with a factor shape equal to 0.8 and a density of 1.7 g mL<sup>-1</sup>. These particles were generated by an atomizer
<figure><img src="image_3.png" /><figcaption>Figure 1. (a) Schematic diagram of the working principle of LAAP-ToF-MS, (b–c) Experimental configuration aimed to investigate the influence of particle density, size effect and detection efficiency, and (d–f) Experimental configuration for aerosol particle measurement.</figcaption></figure>

(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.

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 (E). The differential mobility analyzer (DMA 3081, TSI, US, impactor size 0.071 cm, sample flow = 0.3 L min⁻¹ (liter per minute), sheath flow = 3.0 L min⁻¹) 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) (F₁ = 0.3 L min⁻¹) and the LAAP-ToF-MS (F₂ = F₃ = 0.08 L min⁻¹), 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.

### 2.2.2 Ambient measurements

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).

## 3 Results and discussion

### 3.1 Detection efficiency

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 ($D_E$) is defined as a product of the scattering efficiency of the laser diodes (E) and the ionization efficiency of the excimer laser, also known as hit rate (HR):

$$D_E (\%) = E \times \text{HR.} \qquad (1)$$

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:

$$E (\%) = \frac{N \times 100}{c \times U \times t}, \qquad (2)$$

where N is the number of particles detected by the laser diodes of the LAAP-ToF-MS, c is the number concentration [cm⁻³], U is the aerosol sampling flow rate [80 mL min⁻¹] and t 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:

$$HR (\%) = \frac{N_i \times 100}{N}, \qquad (3)$$

where Nᵢ 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.

## 3.2 Repeatability

### Laboratory experiments

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 ± 5 particles cm⁻³. 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.

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

<figure><img src="image_4.png" /><figcaption>Figure 2. Repeatability of the scattering efficiency (E) and the hit rate (HR), during a time period of 53 h.</figcaption></figure>

<figure><img src="image_5.png" /><figcaption>Figure 3. The influence of the ArF gas life time on the evolution of the laser hit rate (HR) over the time.</figcaption></figure>

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.

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
<figure><img src="image_6.png" /><figcaption>**Figure 4.** The total particle number concentration detected by LAAP-ToF-MS and OPC as a function of time; indicated are peaks corresponding to smoking events (a and b) and to generation of TiO₂ (c). The total PM₂.₅ results according to Air PACA are depicted in green.</figcaption></figure>

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.

## 3.3 Ambient measurements

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 µm (aerodynamic diameter), is shown in Fig. 4. The total number of particles in the range between 200 nm and 3 µm (aerodynamic diameter), detected every 5 min by LAAP-ToF-MS is also depicted.

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⁻³, were detected on 7 January 2015 at 10:17 a.m. and 02:27 p.m., respectively, corresponding to smoking events near the building. The third peak (c), detected on 9 January 2015 is related to the generation of TiO₂ 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 PM₂.₅. 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.

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.

The negative ion mass spectra contain peaks associated with elemental carbon (²⁴C₂⁻), nitrate (⁴⁶NO₂⁻) and sulfate (⁹⁷HSO₄⁻). The presence of cyanide (²⁶CN⁻), (¹⁷OH⁻), (³⁵Cl⁻) can also be observed in Fig. 5. In the positive ion spectra, the identified ion peaks are associated with elemental carbon (¹²C⁺, ²⁴C⁺, ³⁶C⁺) and nitrate (³⁰NO⁺). Also potassium (³⁹K⁺) and to a lesser extent sodium (²³Na⁺) and silicon (²⁸Si⁺) are present. The two specific ions related to TiO₂ (⁴⁸Ti⁺ and ⁶⁴TiO⁺) 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.

## 3.4 Parameters influencing the detection efficiency

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⁻³ 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⁻³, to assess the particle size effect. Several repeat particle analyses were performed for each particle size and particle number concentration.
<figure><img src="image_7.png" /><figcaption>**Figure 5.** The standard deviation of all positive and negative ion mass spectra.</figcaption></figure>

### 3.4.1 Size effect

#### Laboratory experiments

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⁻³. 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.

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 (λ = 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/d⁶).

<figure><img src="image_8.png" /><figcaption>**Figure 6.** 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⁻³. The SPLAT and SPLAM scattering detection efficiency results are given for comparison purpose.</figcaption></figure>

The scattering efficiency decreases again for particles with a $d_{va}$ 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.

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 sin-
gle particle laser ablation time-of-flight mass spectrome-
ter (SPLAT) (Zelenyuk and Imre, 2005) has been under-
taken (Fig. 6). The scattering efficiency of SPLAT de-
creases 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 (λ = 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 (d<sub>d</sub>) 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 C<sub>max</sub> which is ascribed to the small d<sub>d</sub>.
The distance between the two scattering lasers influences
the C<sub>max</sub> for a particle size of 350 nm and a velocity of
103 m s<sup>-1</sup>, the C<sub>max</sub> of LAAP-ToF-MS is 618 particles cm<sup>-3</sup>
whereas the C<sub>max</sub> of SPLAM for the same particle size and
a velocity of 100 m s<sup>-1</sup> is 1.7 × 10<sup>3</sup> particles cm<sup>-3</sup>. The ra-
tio between the d<sub>d</sub> of SPLAM and LAAP-ToF-MS is 2.87
and is similar to the ratio between the C<sub>max</sub> of SPLAM and
LAAP-ToF-MS (2.75), which explains that divergence of the
particle beam increases with d<sub>d</sub> and is more pronounced for
smaller particle sizes. In comparison to SPLAM, which uses
ionization laser at λ = 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 par-
ticles 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 deploy-
ment.

Finally, a comparison was carried out with another similar
instrument named Aerosol Time of Flight Mass Spectrom-
eter (ATOFMS) (Gard et al., 1997). This instrument oper-
ates at 266 nm unlike the LAAP-TOF-MS (λ = 193 nm). The
lower wavelength of the ionization laser enables the analysis
of trace metals. There are few papers in the literature refer-
ring to the development of ATOFMS associated with detec-
tion of different size of particles (Allen et al., 2000; Su et al.,
2004; Zauscher et al., 2011). For example, the detection effi-
ciency of ATOFMS is highest for the ambient particles with
diameter of 1.8 µm and decreases for about 3 orders of mag-
nitude 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 %.

In any case, it should be noted that size has an impact on
the detection efficiency as we mentioned above.

Ambient measurements

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 µm (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.

The optimum particle size for detection is in the range be-
tween 400 and 600 nm (aerodynamic diameter), in the same
range as the wavelength of ionization (λ = 403 nm). The
Fig. 7b shows the time evolution of the particle concentra-
tion. It can be seen that in the ambient air the maximum
particle number concentration corresponds to the lowest size
range (d<sub>va</sub> < 300 nm). The comparison between the results of
the Fig. 7a and the results of the Fig. 7b confirm the conclu-
sions from laboratory tests that the scattering efficiency is af-
fected by the size of particles and its maximum is influenced
according to the Mie theory.

In addition, Fig. 7a shows that the hit rate for ambient
aerosol as function of the size range is different from the lab-
oratory results. This difference can be ascribed to the effect
of chemical composition which is detailed in Sect. 3.4.3.

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 (D% = E × HR) corresponding to each size range.

3.4.2 Effect of the distance between the two scattering laser

Laboratory experiments

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 scat-
tering laser exhibits a much higher efficiency (E<sub>d1</sub>) than the
second scattering laser (E<sub>d2</sub>). This observation is a conse-
quence of the divergence of the particles between the two
laser diodes. In order to understand the magnitude of the par-
ticle divergence we researched into the relationship between
the ratio of scattering efficiencies E<sub>d2</sub>/E<sub>d1</sub> (%) and the par-
ticle 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.

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.
<figure><img src="image_9.png" /><figcaption>**Figure 7.** (a) 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). (b) 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). (c) The evolution of the number of particles ionized during the ambient measurements in different size range depicted between 10 and 2500 nm.</figcaption></figure>

<figure><img src="image_10.png" /><figcaption>**Figure 8.** The ratio $E_{d2}/E_{d1}$ (%) as a function of the PSL particle size.</figcaption></figure>

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.

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.

### 3.4.3 Chemical composition

#### Laboratory experiments

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 ± 0.03 g cm⁻³) 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).
<figure><img src="image_11.png" /><figcaption>**Figure 9.** (a) Different clusters of particles and their evolution during the measurements in different size range between 10 and 2500 nm. (b) The standard deviation of the total hit rate calculated every 5 min during the measurements for each size range.</figcaption></figure>

## Ambient measurements

The complete set of spectra can be clustered using the software MATLAB version 2013b into different chemical classes of particles.

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 $TiO_2$ that are rather considered as primary particle (Delmas et al., 2005). It can be observed that nitrosium ion $NO^+$ ($m/z = 30$) is abundant in the first cluster and potassium ion $K^+$ ($m/z = 39$) 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 $C^+$ ($m/z = 12$), $C_2^+$ ($m/z = 24$), $C_3^+$ ($m/z = 36$) dominate.

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.

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).

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 E (%) 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 $TiO_2$ (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 G) depicted in Fig. 10b. The points G' 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 S which corresponds to a maximum concentration of $TiO_2$ (Fig. 10b) shows a very low value of scattering efficiency and hit rate (Fig. 10a). Regarding the points P, R and
<figure><img src="image_12.png" /><figcaption>**Figure 10.** (a) The scattering laser *E* (%) and the evolution of the hit rate HR (%) of the LAAP-ToF-MS for particles having a size between 400 and 500 nm. (b) The evolution of the sulphate particles and the particles containing TiO₂. (c) The evolution of the elemental carbon particles. *A*, *G* and *G'* represent the influence of the percentage of sulphate containing particles on the HR (%). *S* corresponds to the maximum concentration of TiO₂ and very low values of scattering efficiency and hit rate. *P*, *R* and *T* represent the influence of the percentage of carbonaceous particles on the scattering efficiency.</figcaption></figure>

*T* the number of carbonaceous particles decreases while the number of TiO₂ particles increases. For these three points the scattering efficiency decreases, as well. The evolution of the carbonaceous particles before and after *S* 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.

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 (*D*<sub>n,t</sub>) for each size range for every time interval. On the other hand, the total amount of particles must be separated in different classes (*C*<sub>i</sub>) based on their chemical composition. These classes must be separated in different size ranges (*C*<sub>i,n</sub>). Every *C*<sub>i,n</sub>, according to its distribution during the time, must be multiplied by its corresponding *D*<sub>n,t</sub>. 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.

## Size calibration

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 (λ = 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.

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).
<figure><img src="image_13.png" /><figcaption>**Figure 11.** Plot of aerodynamic particle size versus particle velocity for (a) PSL particles and (b) ammonium nitrate particles.</figcaption></figure>

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).

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.

### 3.4.4 Particle number concentration effect

#### Laboratory experiments

Prior to study the effect of number concentration, an upper limit of the particle number concentration ($C_{max}$) 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 $C_{max}$ is linear and inversely proportional to the particle size.

For a particle size of 350 nm, which is the smallest particle size that has been tested, $C_{max}$ is ≈ 618 particles cm⁻³. For higher particle number concentrations, more particles are present in the space between the two scattering lasers which indicates that smaller particulate matter with $d < 200$ 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 E (%) should decrease because the data of one single particle is

<figure><img src="image_14.png" /><figcaption>**Figure 12.** Variation of $C_{max}$ for particles with different aerodynamic diameters.</figcaption></figure>

recorded instead of two. In order to study the effect of a concentration higher than $C_{max}$ on the E (%), ferric sulfate particles (450 nm) were generated at 5 different concentrations between 50 and 1200 particles cm⁻³. The higher level 1200 was chosen according to the value of $C_{max}$ found at 562 particles cm⁻³ 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.

Concerning the scattering efficiency E (%), 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 E (%) is considered constant. To study the effect of concentration number higher than $C_{max}$ 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 $C_{max}$, 562 particles cm⁻³, the percentage of the particles with size lower than 200 nm increases from 1% for a concentration number of 40 particles cm⁻³ to 19% for a concentration number of 612 particles cm⁻³. 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.

#### Ambient measurements

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 $C_{max}$ 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 re-
<figure><img src="image_15.png" /></figure>

**Figure 13.** 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.

sults 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 $C_{max}$ during the 6 days of measurements.

Considering that the scattering laser is blind with respect to the particles with $d_{va}<200$ nm and that the aerodynamic lenses cannot transmit particles with $d_{va} < 80$ nm, the effect of $C_{max}$ 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).

## 4 Conclusions

A recently developed LAAP-ToF-MS instrument has been calibrated and characterized.

In this work the performance of LAAP-TOF-MS has been characterized on standard spherical particles under controlled laboratory conditions and on ambient particles.

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.

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.

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.

<figure><img src="image_16.png" /></figure>

**Figure 14.** (a) 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. (b) the number of particles having a size between 0–200 and 0–80 nm detected by the LAAP-ToF-MS every 5 min.

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 PM2.5 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.

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.

*Acknowledgements.* 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).

The authors gratefully acknowledge the support of this work by French National Agency of Research within the ANR-10-EQPX-39-01.

Edited by: P. Herckes
References

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.

Buzea, C., Pascheco, I. I., and Robbie, K. Nanomaterials and Nanoparticles: Sources and Toxicity, Biointerphases, 2, 17–172, 2007.

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.

Delmas, R., Mégie, G., and Peuch, V. H.: physique et chimie de l'atmosphère, edited by: Belin, Paris, France, 2005.

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.

Finlayson-Pitts, B. and Pitts, J.: Atmospheric Chemistry, Fundamentals and Experimental Techniques, Academic press, CA, USA, 2000.

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, doi:10.5194/amt-5-225-2012, 2012.

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.

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.

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.

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.

Moffet, R. C. and Prather, A. K.: Extending ATOFMS Measurements To Include Refractive Index and Density, Anal. Chem., 77, 6535–6541, 2005.

Murphy, D.: The Design of Single Particle Laser Mass Spectrometers, Mass Spectrom. Rev., 26, 150–165, 2007.

Poeschl, U.: Atmospheric Aerosols: Composition, Transformation, Climate and Health Effects, Angew. Chem. Int. Edit., 44, 7520–7540, 2005.

Pratt, K. and Prather, K.: Mass Spectrometry of Atmospheric Aerosols—Recent Developments and Applications. Part II: Online Mass Spectrometry Techniques, Mass Spectrom. Rev., 31, 17–48, 2011.

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.

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.

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.

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.