- Open Access
A single-particle characterization of a mobile Versatile Aerosol Concentration Enrichment System for exposure studies
© Freney et al; licensee BioMed Central Ltd. 2006
Received: 02 February 2006
Accepted: 24 May 2006
Published: 24 May 2006
An Aerosol Time-of-Flight Mass Spectrometer (ATOFMS) was used to investigate the size and chemical composition of fine concentrated ambient particles (CAPs) in the size range 0.2–2.6 μm produced by a Versatile Aerosol Concentration Enrichment System (VACES) contained within the Mobile Ambient Particle Concentrator Exposure Laboratory (MAPCEL). The data were collected during a study of human exposure to CAPs, in Edinburgh (UK), in February-March 2004. The air flow prior to, and post, concentration in the VACES was sampled in turn into the ATOFMS, which provides simultaneous size and positive and negative mass spectral data on individual fine particles.
The particle size distribution was unaltered by the concentrator over the size range 0.2–2.6 μm, with an average enrichment factor during this study of ~5 (after dilution of the final air stream). The mass spectra from single particles were objectively grouped into 20 clusters using the multivariate K-means algorithm and then further grouped manually, according to similarity in composition and time sequence, into 8 main clusters. The particle ensemble was dominated by pure and reacted sea salt and other coarse inorganic dusts (as a consequence of the prevailing maritime-source climatology during the study), with relatively minor contributions from carbonaceous and secondary material. Very minor variations in particle composition were noted pre- and post-particle concentration, but overall there was no evidence of any significant change in particle composition.
These results confirm, via single particle analysis, the preservation of the size distribution and chemical composition of fine ambient PM in the size range 0.2–2.6 μm after passage through the VACES concentration instrumentation.
Epidemiological studies have consistently shown that elevated levels of particulate matter (PM) air pollution are associated with increases in asthma severity and worsening of respiratory ill-health, as well as increased mortality not only from respiratory causes but also from cardiovascular disease [1, 2]. The associations are often strongest for the fine (PM2.5) fraction  which penetrates to the alveoli of the respiratory system .
Two of the most important challenges for researchers in this field are to establish (i) the physicochemical properties of the inhaled particles responsible for observed ill-health associations, and (ii) the consequent biological mechanisms of causation. Progress on the former requires enhanced size and chemical characterisation of the ambient particles to which populations or panel members are exposed, whilst progress on the latter requires experiments testing potential causal mechanisms either in vitro or, ideally, in vivo using model or genuine particulate matter. A major criticism of most mechanistic studies is that the exposure route is artificial and the PM dose is very high. In the last few years, however, instrumentation has been developed that is designed to deliver a continuous flow of air in which the concentration of ambient PM in the sampled air stream is increased in real-time by roughly an order of magnitude [5, 6]. The concentrated PM is generically referred to as CAPs (concentrated ambient particles). The advantage of these instruments is that they can provide genuine inhalation exposures, at PM concentrations not much greater than ambient, with the subject of the exposure (animal or human) assessed under controlled conditions. In example studies using human volunteers, exposure to fine or coarse CAPs has been shown to induce mild pulmonary inflammation in healthy adults , and to change heart rate variability in the elderly  and in asthmatic and healthy younger adults .
It is important that particle concentrators do not alter the size distribution (within the fraction being concentrated) or chemical composition of the particles. In the past, particle composition has been checked using off-line chemical analyses of bulk filter-collected samples  but this requires a raft of different analytical techniques, is time-consuming, does not provide information on the state of chemical mixing of individual particles and is necessarily time-averaged. Very recently, single particle mass spectrometers have been deployed for more detailed investigation of the effect of concentrators on the ensembles of individual particles. Using an Aerosol Time-of-Flight Mass Spectrometer (ATOFMS) alongside particle sizing instrumentation, Moffet et al.  showed that the Harvard/USEPA Ambient Particle Concentrator (HAPC) did not induce observable changes to particles in the coarse (PM2.5–10) size fraction. At the other end of the size range, Zhao et al.  used the Rapid Single-particle Mass Spectrometer (RSMS-3) to investigate the chemical composition of 40–640 nm ultrafine particles pre- and post-concentration by the Versatile Aerosol Concentration Enrichment System (VACES) [12, 13]. Although small differences in composition were observed (manifested as a shift of 8–10% of particles from one class to another), this was suggested to be due to changes in the composition of the ambient air rather than changes induced by the VACES. Likewise, in a recent deployment of an Aerosol Mass Spectrometer (AMS) with the VACES, only relatively small changes in mass of semi-volatile material (ammonia, nitrate, organics) was observed in post-concentrator particle mass for particles <~1 μm .
The Mobile Ambient Particle Concentrator Exposure Laboratory (MAPCEL) used in this work contained a VACES concentrator, with the aim of concentrating particles of diameter <2.5 μm and delivering them directly to an exposure chamber at a flow rate of 50 L min-1, suitable for human breathing. In the first exposure study of its kind, the MAPCEL has recently been used to investigate the effects of inhalation of CAPs on systemic inflammation and vascular function in patients with ischemic heart disease . Twelve male patients with stable ischemic heart disease and twelve age-matched non-smoking volunteers were exposed either to CAPs or to filtered air during 2 h of intermittent exercise using a randomized double-blinded cross-over study design during a 4-week period in February 2004. The CAPs were derived from urban background air outside the Royal Infirmary Hospital in Edinburgh, UK (3.22°W 55.95°N). A bus route passed adjacent to the MAPCEL and an arterial city-route was located a few hundred metres away. Vascular function and systemic inflammatory markers were measured 6–8 hours following exposures .
The VACES apparatus has not yet been evaluated with a single particle mass spectrometer over its full operational particle size range up to ~2.5 μm (the upper particle size in the Zhao et al. study was 0.64 μm ), so the opportunity was taken during this exposure study to deploy an ATOFMS to investigate the effect of the enrichment process on particle composition in this specific size fraction. The advantage of the ATOFMS for this work is that its inlet and sizing system is optimised to detect and ablate particles in the size range 0.2–3.2 μm , which overlaps well with the upper part of the size range of CAPs produced by the VACES . The ATOFMS instrument was also used to provide data on PM chemical composition during the human exposures, which in turn will be useful to identify dominating sources of PM emissions.
Instrumentation and methods
The ATOFMS was housed inside a transit van adjacent to the MAPCEL and its sample inlet was connected to the airflow in the MAPCEL unit either upstream or downstream of the particle concentration section (as shown in Figure 1) using 1 cm i.d. copper tubing. During the human exposure studies the ATOFMS sampled the ambient air being drawn into the body box. Portable heaters inside the van maintained a constant environment of ~20°C around the ATOMFS instrument. The key operational feature of the ATOFMS is that size and chemical information is obtained simultaneously for each individual particle detected [17, 18]. Particles in the sampled air are collimated by a nozzle into a low pressure air-stream and scatter light from two continuous-wave lasers (wavelength 532 nm) spaced a few cm apart. The transit time of a particle between the two laser beams (of the order of 0.5 ms) yields the aerodynamic diameter of the particle, the arrival time of the particle in the subsequent ablation region, and the appropriate delay for firing the frequency-quadrupled Nd:YAG ablation/ionisation laser (266 nm). The resultant positive and negative ions are accelerated into two opposing reflectron time-of-flight mass analysers and detected by microchannel plates, yielding positive and negative ion mass spectra for each ablated particle. The major strength of the ATOFMS is the detailed chemical compositional data provided for each individual particle detected. The major limitations are that only a small proportion of particles in a given air sample are sized and ablated, hence there is uncertainty in scaling up ATOFMS-detected particles to a true particle number, and that because of the intrinsic variability of a laser desorption ionisation process chemical information is not fully quantitative [16, 19, 20].
The analysis of the particle mass spectra dataset was carried out using the MINITAB statistical package. The principal multivariate technique employed was non-hierarchical K-means clustering (Euclidian distance, centroid linkage) using peak area at each integer m/z value as the variables. For inclusion as a variable, the area of each peak had to constitute >0.001 of the total peak area in that spectrum. Correlation, rather than co-variance, between variables was used so that clustering was not dominated by one or two persistently large peak areas in the spectra. Twenty clusters were initially specified to classify the data set. Although this resulted in a number of the clusters containing <1% each of the total number of particles in the whole dataset, it allowed a sufficient number of clusters to be created to describe different types of particle. If subsequent inspection showed that two or more clusters contained particles with similar mass spectra, size distribution and temporal trends, the clusters were combined.
Results and discussion
Pre- and post-concentrator characterization of CAPs
Air from the concentrator to the ATOFMS was switched every 40 minutes between the upstream and downstream of the concentrator ("pre-" and "post-concentration") during two sampling periods 11:02–12:40 GMT on 17/03/04 (Study A) and 10:53–12:54 GMT on 18/03/04 (Study B).
Dates, times and meteorological data during the studies presented.
Mean temp (°C)
Mean wind direction (°)
Mean wind speed (m/s)
Mean RH (%)
7:51:28 – 12:00:32
No ATOFMS data
7:39:54 – 10:31:07
7:57:09 – 10:31:09
8:59:42 – 11:04:09
7:46:12 – 10:53:01
9:55:03 – 12:11:06
7:44:37 – 10:56:50
10:53:37 – 12:54:57
11:02:12 – 12:40:46
Enrichment factors and effect on size distribution
Enrichment factors (EF) as a function of particle diameter (D a) for the two characterization studies A and B.
D a (μm)
D a (μm)
0.20 – 0.79
6 ± 2
0.20 – 0.79
5 ± 1
0.80 – 1.39
5 ± 1
0.80 – 1.39
5 ± 1
1.40 – 1.99
5 ± 3
1.40 – 1.99
4 ± 1
2.00 – 2.59
4 ± 1
2.00 – 2.59
5 ± 2
Percentage of sub-micron and super micron particles detected during the two characterisation studies A and B.
% Sub-micron particles
% Super-micron particles
Effect on composition
pure sea-salt class, peaks of composition NaxCly +/- only, with no peaks indicating nitrate ions;
mixed sea-salt class, peaks for NaxCly +/- plus also negative ion signals at -46 (NO2 -) and -62 (NO3 -);
reacted sea-salt class, +23 (Na+), +39 (NaO+), +40 (NaOH+), plus nitrate ion signals in the negative spectra, and no peaks corresponding to Cl;
elemental carbon class, peaks of the Cn + series but no hydrocarbon signals;
mixed OC/EC class, +15 (CH3 +), +27 (C2H3 +), and +43 (C3H7 +);
CaSO 4 dust class, +40 (Ca+), +56 (CaO+) and sulphate peaks, -96 (SO4 -) and -97 (HSO4 -), in the negative ion spectrum;
Al/Fe/Li dust class, +27 (Al), +54/56 (Fe+), and +7 (Li+) and signals in the negative ion spectra for silicates, -60 (SiO2 -) and -76 (SiO3 -), and phosphates, -63 (PO2 -) and -79 (PO3 -);
mixed-KCl class, +39 (K+), +113/115 ((KCl)K+) and peaks for nitrate and sulphate in the negative ion spectrum indicating presence of secondary inorganic aerosol.
Particles containing CaSO4 (gypsum) are readily identified as arising from a construction-type source (construction was taking place at the site), whilst particles in the Al/Fe/Li class are due to a crustal/sand source (nearby roads were having rock-salt and grit applied to them daily).
Overall, however, when comparing pre- and post-concentrator particle composition, no significant difference in the proportion of each broad particle type was observed. Close examination of the dataset revealed that the particle type classified as mixed-KCl, which did appear to show a change in abundance between pre- and post-concentration, was in fact only detected during the first session of post-concentrator sampling in the second characterization study (illustrated by the circled region on the time-series in Figure 4). Since this particle type only appeared during one short period of time, it is concluded that this particle type reflects a genuine difference in ambient particle composition at this time rather than a compositional change induced by the particle concentrator. Particles in this class were within the size range 0.4 to 1.9 μm. These particles are likely to have originated from burning of biomass, for which potassium is a known marker .
Figure 3 indicates a slight tendency (particularly in the first characterization study) for the proportion of pure sea-salt particles downstream of the concentrator to be enhanced at the expense of mixed sea-salt particles upstream of the concentrator. It is possible to speculate that the condensation of water onto the particles and the subsequent evaporation process causes a slight loss of particulate nitrate as gaseous HNO3, in a reverse of the sea-salt aging reaction that occurs in ambient air (described above). The trend is not observed in the second characterization study so there is inconclusive evidence for a concentrator effect with this particle class.
One of the 20 particle clusters originally identified by the K-means process contained particles with mass spectra identical to other particles subsequently classed as Al/Fe/Li dust except that the spectra of the former particles contained more intense high mass negative ion signals for silicates, phosphates and aluminium oxides (e.g. -119 (AlSiO4 -), -122 (AlPO4 -), -140 ((SiO2)(HPO3)-), -179 (AlSi2O6 -)) than spectra for the latter, and were only apparent when sampling the post-concentration air flow. The former cluster contained <2.4 % of the total particle dataset, and since there was no actual difference in particle composition, only in intensities of the ion signals, it was concluded that the concentrator had not caused changes to these particles so they were also assigned to the Al/Fe/Li dust class. Although ion intensities in LDI analyses are known to be matrix-dependent , the consistent mass spectra overall indicate that there was no difference in the matrices in this instance. A more likely explanation is a straightforward cluster-boundary artefact introduced by the clustering algorithm as has been noted previously by Zhao et al.  who observed that the ART-2a neural network algorithm split an ensemble of mixed carbonaceous-ammonium nitrate particles into two depending on the intensity of the nitrate signals.
Chemical characterization of Edinburgh CAPs during human exposure study
Carbonaceous particles constituted 4% of all particles detected overall and dominated the finer size fraction. These must arise from local traffic and solid-fuel burning sources, given the predominant clean-air source regions. Dust particles contributed the remaining 6% of particles and had a broad monomodal size distribution (Figure 6). There was a slight increase in proportion of both carbonaceous and dust particles in the last couple of days of the exposure sampling period.
A detailed report on the health effects of the CAPs exposures will be presented elsewhere, but in summary, exposure either to the above-described Edinburgh CAPs or to filtered air did not affect vascular function in either patients with stable ischaemic heart disease or age-matched controls . In contrast, a parallel double-blind study of the effects of a similar mass-concentration of diesel exhaust particulates, dominated by carbonaceous and organic particles, demonstrated impairment of both vasomotor and endogenous fibrinolytic vascular function following exposure to particulate .
In conclusion, we find no evidence that the VACES installed in the MAPCEL causes any substantive changes in particle size distribution or individual particle composition during concentration of particles within the size range of 0.2–2.6 μm. Contrasting results in controlled human exposure studies using this apparatus highlight the importance of particle composition in determining the adverse vascular effects of exposure to PM2.5. Detailed characterisation of particle exposures, including the use of single-particle mass spectrometry, will be essential in future experimental studies to determine the impact of inhaled environmental particulate matter on public health.
The ATOFMS instrument used in this work was purchased on a joint EPSRC grant (GR/N02245/01) with Prof. R.M. Harrison's group at the University of Birmingham, UK. The clinical study was funded by British Heart Foundation Project (03/017/15071) and Programme (PG/05/003) Grants. EJF thanks the University of Edinburgh for PhD funding. NLM is supported by a Michael Davies Fellowship from the British Cardiac Society. The assistance of Dr. M.A.J. Harrison at the UK Met Office for provision of NAME air-mass back-maps is greatly appreciated.
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