Abstract
Aircraft emissions contribute to local and global air pollution. Health effects of particulate matter (PM) from aircraft engines are largely unknown, since controlled cell exposures at relevant conditions are challenging. We examined the toxicity of non-volatile PM (nvPM) emissions from a CFM56-7B26 turbofan, the world’s most used aircraft turbine using an unprecedented exposure setup. We combined direct turbine-exhaust sampling under realistic engine operating conditions and the Nano-Aerosol Chamber for In vitro Toxicity to deposit particles onto air–liquid-interface cultures of human bronchial epithelial cells (BEAS-2B) at physiological conditions. We evaluated acute cellular responses after 1-h exposures to diluted exhaust from conventional or alternative fuel combustion. We show that single, short-term exposures to nvPM impair bronchial epithelial cells, and PM from conventional fuel at ground-idle conditions is the most hazardous. Electron microscopy of soot reveals varying reactivity matching the observed cellular responses. Stronger responses at lower mass concentrations suggest that additional metrics are necessary to evaluate health risks of this increasingly important emission source.
Hulda R. Jonsdottir et al. examine the effects of non-volatile particulate matter from an aircraft turbine to cultures of human bronchial epithelial cells. They find that short-term exposures to exhaust particles cause cytotoxicity, oxidative stress, and immune infiltration, highlighting the need for further study into the effects of jet fuel-derived pollution.
Introduction
Emissions from commercial aircraft engines have a substantial impact on both local and global air pollution and are of particular concern for individuals working at airports, as well as local residents (reviewed in ref. 1). The steadily increasing demand for commercial air travel and related growth in air traffic indicates an even greater role for aircraft emissions in future global air pollution. At the same time, the number of airport workers will expectedly increase in parallel with the size of nearby residential areas2. As of yet, few studies have been conducted on the health effects of particulate matter (PM) from aircraft turbine engines and most of them address self-reported respiratory symptoms in airport workers rather than direct cellular effects from aircraft exhaust exposure3–6. Conversely, there is a large body of literature on combustion-generated aerosol from automobile engines consistently concluding that road traffic exhaust has deleterious consequences for human health, for example, increased incidence of cardiovascular disease, asthma exacerbation, and cancer7–12. Studies of road traffic PM have shown that both morphological and chemical properties of soot, the main constituent of PM emitted by internal combustion engines, closely relate to particle reactivity13–15 and depend on engine operating conditions as well as on fuel type16–18. Soot particles emitted by gas turbine engines are, to a large extent, ultrafine, with mobility diameters typically below 100 nm19–21 and are generally smaller than those observed in road traffic exhaust22. Such small particles deposit with high efficiency in the entire respiratory tract23,24 and are supposedly more toxic than larger ones25–28, and therefore require special consideration. While substantial information regarding the respiratory toxicology of combustion PM can be obtained from studies on road traffic, particles emitted by aircraft engines have been inadequately investigated. Moreover, although the new international aircraft PM emission standard will use non-volatile PM (nvPM) mass and number as its regulatory metric29, a link between health effects and these metrics has not been clearly established. Any adverse health effects caused by combustion-generated particles, primarily soot, are likely associated with physicochemical particle properties, including morphology. However, so far, no clear cause–effect relationship between particle properties and adverse health effects has been documented, although various studies have addressed this issue30–32. This applies not only to PM from aircraft turbine engines but also to particles from other combustion sources, for example, diesel, gasoline, and compressed natural gas engines33,34. Thus, there is an urgent need for studies linking PM from aircraft turbine engines operating under realistic conditions to health effects. Moreover, as various alternative aviation fuels become more common, it is also important to examine the toxicity of their combustion products, since previous research has not clearly proven the benefits of alternative fuels35–37.
Thus, we aimed at elucidating the acute cellular response, when nvPM from a CMF56-7B26 turbofan at different thrust levels, fueled with either conventional Jet A-1 base fuel or an alternative 32% v v−1 HEFA (hydroprocessed esters and fatty acid)/base fuel blend, was deposited on human bronchial epithelial cells (BEAS-2B) at air–liquid interface (ALI). For particle deposition under physiological conditions, we used the Nano-Aerosol Chamber for In vitro Toxicity (NACIVT), a portable exposure chamber that can be connected to any aerosol source38. Furthermore, we studied the morphological characteristics of soot by transmission electron microscopy (TEM) in an effort to reveal any relationship between these characteristics and observed cellular effects.
Our study demonstrates acute bronchial epithelial cell injury after 1-h exposures to nvPM with the most pronounced response observed after exposure to PM from conventional Jet A-1 base fuel at ground-idle conditions. TEM analysis of soot reveals varying reactivity corresponding to the observed cellular responses. Stronger responses at lower mass concentrations suggest the inclusion of additional metrics for health risks assessment of this increasingly important emission source.
Results
Aerosol characterization and nvPM deposition on cells
Combustion aerosol from a commercial turbofan CFM56-7B26 engine, running on Jet A-1 base fuel or 32% HEFA blend (Table 1) at 85% and ground-idle thrust conditions, was collected using a state-of-the-art standardized sampling system (Fig. 1a). The resulting emissions followed commonly observed behavior for turbofans that employ rich quench lean combustors39. Particle mass concentrations at the Nano-Aerosol Chamber for In vitro Toxicity (NACIVT) inlet were close to ambient concentrations for ground-idle thrust, for which on average ± SD 4.6 ± 0.7 µg m−3 was measured for Jet A-1 and 1.3 ± 0.5 µg m−3 for HEFA blend (Fig. 1b and Table 2). At 85% thrust, however, mass concentrations were substantially higher for both fuel types. The average values were 485 ± 14 µg m−3 for Jet A-1 and 335 ± 8 µg m−3 for HEFA blend. In contrast to mass, particle number concentrations were substantially higher than ambient ones at ground-idle thrust, that is, 1.14 ± 0.04 × 106 cm−3 and 0.29 ± 0.10 × 106 cm−3 for Jet A-1 and HEFA blend, respectively (Fig. 1c and Table 2). At 85% thrust, number concentrations were higher than at ground-idle, that is, 2.30 ± 0.03 × 106 and 2.04 ± 0.02 × 106 cm−3 for the two fuel types. The resulting particle size distributions (Fig. 1d) were unimodal and lognormal, with count median diameters (CMDs) increasing from 18 and 17 nm at ground-idle thrust to 50 and 47 nm at 85% thrust for Jet A-1 and HEFA blend, respectively (Table 2). Our results indicate considerably lower nvPM emissions with HEFA blend, in particular at ground-idle thrust. At this condition, particle mass and number concentrations were reduced by 73 and 75%, respectively; in contrast, at 85% thrust, the reduction was 31% for mass and 11% for number concentrations. The reduction of the nvPM with HEFA blend was likely due to the lower total aromatic content of that blend (higher hydrogen content) compared to Jet A-1 (Table 1). This is consistent with previous studies39–41.
Table 1.
Property | Method | Unit | Jet A-1 | 32% HEFA |
---|---|---|---|---|
Total aromatics | ASTM D 1319 | % v v−1 | 18.1 | 11.3 |
Naphthalenes | ASTM D 1840 | % v v−1 | 0.79 | 0.53 |
Hydrogen mass | NMR | % m m−1 | 13.8 | 14.3 |
Sulfur content | ASTM D 5453 | ppm | 490 | 350 |
Smoke point | ASTM D 1322 | mm | 22 | 24 |
Density | ASTM D 4052 | kg m−3 | 794.8 | 781.8 |
ASTM American Society for Testing and Materials, HEFA hydroprocessed esters and fatty acid, NMR nuclear magnetic resonance spectroscopy method comparable to ASTM D7171
a32% HEFA blend
Table 2.
Fuels and thrust levels | Non-volatile particles | ||||
---|---|---|---|---|---|
Mass conc. (µg m−3) (SD) | Number conc. (×106 cm−3) (SD) | CMD (nm) | estMdepa (ng cm−2) | estNdepa (×109 cm−2) | |
Jet A-1 | |||||
85% thrust | 485 (14) | 2.30 (0.03) | 50 | 432 | 3.2 |
Ground-idle | 4.6 (0.7) | 1.14 (0.04) | 18 | 6.9 | 2.1 |
HEFA blend | |||||
85% thrust | 335 (8) | 2.04 (0.02) | 47 | 311 | 2.9 |
Ground-idle | 1.3 (0.5) | 0.29 (0.01) | 17 | 2.1 | 0.6 |
CMD count median diameter, HEFA hydroprocessed esters and fatty acid, SD standard deviation, estMdep estimated particle mass deposited, estNdep estimated number of particles deposited on cell cultures
aEstimated per hour exposure according to Jeannet et al.38
The aerosol deposition chamber NACIVT (Fig. 2a38) was connected to the diluted PM sampling line (shown in Fig. 1a) to expose cell cultures to nvPM continuously for 60 min. Volatile components of the exhaust were removed from the sampling line before entering the NACIVT chamber by a custom-made low-flow thermodenuder42. The use of a thermodenuder does not substantially alter the particle size distributions (Supplementary Fig. 1), indicating that the volatile particle mass and number fractions are minimal when aircraft emissions are sampled from the hot core flow of the engine. This is in line with previous observations from aerosol mass spectrometers that studied the emissions of the same engine model21,42,43. Successful deposition of nvPM within the NACIVT chamber was confirmed by the electrometer measurements shown in Fig. 2b. The collected data indicated higher particle deposition for Jet A-1 than for HEFA blend at both thrust levels. Furthermore, comparable electrometer voltages (around zero) between fuel types during exposures to filtered exhaust confirmed the successful removal of particles for particle-free control exposures. The estimated deposition on cell cultures for 1 h of exposure, based on Jeannet et al.38, showed that at 85% thrust, 432 ng, that is, 3.2 × 109 particles cm−2 of cell culture were deposited for Jet A-1 and 311 ng, that is, 2.9 × 109 particles cm−2 for HEFA blend (Table 2). At ground-idle, the estimated deposition was considerably lower with 6.9 ng, that is, 2.1 × 109 particles cm−2 cell culture for Jet A-1 fuel and 2.1 ng, that is, 0.6 × 109 particles cm−2 for HEFA blend. In summary, these data reveal that particle doses applied to the cell cultures were substantially higher at 85% thrust than at ground idle, were higher for Jet A-1 than for HEFA blend, and showed more pronounced differences between fuel types at ground-idle thrust.
Cellular responses to nvPM exposures
The flowchart in Fig. 3 summarizes the experimental layout for cell exposures, sample collection, and analysis. Quadruplicate cultures of the human bronchial epithelial cell line BEAS-2B at ALI were simultaneously exposed to nvPM for 60 min. Particles were deposited on the apical cell surface under physiological conditions in the NACIVT deposition chamber38. To discern effects from deposited particles, we exposed cell cultures to particle-free exhaust by mounting a filter between the PM sample line and the thermodenuder, prior to aerosol entry into the deposition chamber. Incubator control cells were handled the same as all other cell cultures with the exception of any exposure treatment in the NACIVT chamber. Biomarkers for pulmonary response were assessed 24 h after aerosol exposure, thus identifying acute cellular responses.
To evaluate acute cytotoxicity, we both assessed the epithelial layer by light microscopy (LM) and quantified the release of lactate dehydrogenase (LDH) by damaged cells into the apical compartment. LM evaluation, shown in Fig. 4, revealed rounding of cells after exposure to nvPM at 85% thrust from both fuel types (Fig. 4a, enlarged area), but at ground-idle only in Jet A-1-exposed cells (Fig. 4b, enlarged area). Particle deposits were only visible after exposure to 85% thrust with Jet A-1 (Fig. 4a, black arrowheads). Measurements of LDH release, shown in Fig. 5a, corroborated LM assessments and revealed a significant increase of cytotoxicity in cells exposed to nvPM at ground-idle with Jet A-1 compared to HEFA blend (p < 0.0001). Interestingly, there was limited cytotoxicity in cells exposed at 85% thrust for Jet A-1. However, in contrast to Jet A-1, cytotoxicity after exposure to HEFA blend nvPM was significantly higher in cells exposed at 85% thrust compared to ground-idle (p = 0.0160).
The expression of the oxidative stress marker heme oxygenase 1 (HMOX-1) was significantly up-regulated in cells exposed to Jet A-1 nvPM at ground-idle conditions (Fig. 5b; p = 0.0014). Interestingly, there was no statistically significant up-regulation of this gene in response to HEFA blend exposure for both thrust levels. Furthermore, expression of HMOX-1 remained low in particle-free controls for both fuel types (Fig. 5b).
As shown in Fig. 5c, there was no difference in the secretion of the pro-inflammatory cytokine interleukin-6 (IL-6) between cells exposed to nvPM of the two fuel types and engine thrust conditions or to particle-free exhaust. However, the secretion of IL-8, a chemo-attractant for neutrophilic granulocytes, was significantly increased in HEFA blend-exposed cells at 85% thrust (Fig. 5c, p = 0.0231). Finally, the secretion of the monocyte chemotactic protein 1 (MCP-1) was significantly higher in cell cultures exposed to nvPM for HEFA blend than Jet A-1 at ground-idle (Fig. 5c, p < 0.0001) and significantly higher than in cells exposed at 85% thrust with the same fuel (Fig. 5c, p < 0.0001).
Morphology and reactivity of nvPM
The particles examined here by TEM were primarily soot, which is the dominant nvPM besides minor amounts of ash originating from lubrication oil or fuel additives. Rarely, we observed a few, nanometer-sized ash particles attached to or enclosed in soot. Sulfur particle cores were not detected. Low magnification TEM analysis revealed considerably smaller agglomerates (maximum length, as measured on TEM images; ~300 agglomerates measured) for soot collected at ground-idle than for 85% thrust from both fuel types (Fig. 6a, b). At ground-idle, ~75% of the agglomerates from both fuel types were ≤40 nm, whereas at 85% thrust, ~50% of agglomerates were 40–120 nm. The same applied for the primary particles, which compose these agglomerates (~350 particles measured). At ground-idle, ~75% of the particles were 5–10 nm in diameter, while at 85% thrust ~70% of them were 10–25 nm, for both fuel types. These observations are consistent with previous studies describing primary soot particle sizes at taxiing and take-off conditions18. High-resolution TEM (HRTEM) imaging of primary soot particles from both thrust conditions and fuel types showed that they are composed of discontinuous carbon layers (fringes; Fig. 6c, d) interrupted by amorphous parts (gray areas) probably representing organic compounds, which were intermittently incorporated in the particle during its growth. It is widely accepted that the carbon lamellae of soot particles consist of more or less strongly deformed graphene sheets. The length of the carbon lamellae, as well as their orientation and the resulting degree of structural order relate to soot reactivity34,44. In the present study, soot particles formed at 85% thrust with both fuel types consisted of longer and better-ordered carbon lamellae (Fig. 6c), compared to those at ground-idle (Fig. 6d). Shorter carbon lamellae and a more disordered structure imply that more edge atoms are available for reaction and indicate higher instability, that is, higher reactivity. A small fraction (nearly 30%) of HEFA blend soot particles produced at 85% thrust had an outer shell, a few nanometers thick, with highly disordered fringe arrangement implying higher reactivity and indicating that at 85% thrust, a part of the HEFA blend soot is more reactive than that of Jet A-1.
Discussion
The unique combination of the aircraft turbine emission sampling system and cell exposure experiments provides the most realistic laboratory depiction of real-life situations at the airport. This approach integrates genuine aerosol generation from a commercial aircraft turbine engine, operating with conventional Jet A-1 fuel or an alternative HEFA blend at realistic and health-relevant thrust levels, exhaust sampling directly from the emission source, and deposition of particles out of a continuous airflow onto cell cultures under physiological conditions. The electrometer data collected within the NACIVT chamber revealed successful deposition of particles onto cell cultures, and the resulting voltages were clearly discernible between the two thrust levels sampled and particle-free, that is, filtered, emissions. Moreover, changes in particle size, induced by different engine thrusts and fuels, could be observed in online measurements with a scanning mobility particle sizer (SMPS), as well as in particles evaluated by TEM analysis. The SMPS measurements are in line with the observed TEM results. This indicates that no particle aggregation occurred prior to deposition within the NACIVT chamber, which is consistent with our previous findings for 200-nm polystyrene and 20-nm silver nanoparticles38. Thus, the applied techniques and methodology provide a solid basis for future studies to evaluate human health hazards from exposure to aircraft turbine engine emissions.
In this study, we evaluated the adverse effects after exposure to nvPM in BEAS-2B cells, an immortalized human bronchial epithelial cell line often used in PM exposure studies45–50. The bronchial epithelial cell model is extremely relevant for such studies, since smaller particles deposit with high efficiency in the air-conducting section of the respiratory tract upon inhalation24. In fact, the highest density of intrapulmonary-deposited nanoparticles of this size per surface area is reached in the conducting airways (Supplementary Table 151–53). Studying adverse effects of inhaled air pollutants to this lung compartment is important, since most lung diseases are diseases of the conducting airways, with recurrent and sustained airway inflammation being a hallmark of chronic pulmonary diseases [e.g., asthma, chronic obstructive pulmonary disease (COPD), cystic fibrosis]. Furthermore, persons with pre-existing lung disease are especially vulnerable to exposure to air pollution27. One-hour exposures of BEAS-2B cells to jet turbine nvPM resulted in significantly higher cytotoxicity with Jet A-1 at ground-idle (p = 0.0420) and HEFA blend at 85% thrust (p = 0.0309) compared to particle-free controls. The highest cytotoxicity and oxidative stress responses were observed after exposure to nvPM from Jet A-1 at ground-idle. This correlates with the number of deposited particles, which was 3.5-fold higher for Jet A-1 than for HEFA blend at this thrust condition. It also correlates with the small particle size and the highly disordered internal structure of Jet A-1 ground-idle soot observed by TEM, which implies higher reactivity compared to the larger sized and more ordered structure of 85% soot. Although small size and disorganized soot structure in ground-idle samples can be observed for both fuel types, Jet A-1 causes higher cytotoxicity than HEFA blend, which implies that the fuel type plays an additional role to morphology. Neither cytotoxicity nor oxidative stress responses correlate with PM mass, since the highest mass deposition is observed at 85% thrust for both fuel types. However, the observed differences in cytotoxicity and oxidative stress responses between cells exposed to nvPM from Jet A-1 and HEFA blend may be due to the lower total aromatic content in the HEFA blend. Further experimental studies are needed to elucidate which chemical components of nvPM contribute most to the observed adverse effects. While increases in cytotoxicity and oxidative stress after exposure to Jet A-1 indicate a more local effect on the epithelium, the increased release of (pro-)inflammatory cytokines after HEFA blend exposure suggests that nvPM from the latter primarily elicits a systemic effect by recruiting immune cells, that is, neutrophilic granulocytes and monocytes to the site of deposited particles in the airways. Highlighting the results and relevance of the current study, samples collected at Los Angeles’ LAX airport by He et al.54 were found to be more potent than samples collected in areas heavily affected by road traffic, even at low exposure concentrations.
The composition of combustion-derived (nano)particles from different sources and conditions is highly variable55–57, but previous exposure experiments conducted with primary and atmospherically aged particles from gasoline and diesel engines, using a similar experimental setup and comparable deposited particle doses8,58, allow comparison of the toxicity of combustion-derived PM from different sources to bronchial epithelial cells (Fig. 7). This analysis shows that the cytotoxic effects of a single exposure of 1–2 h to PM from combustion of gasoline, diesel, and aviation fuel in BEAS-2B cells are moderate and comparable for similar doses. A similar pattern is observed for the secretion of IL-6 and IL-8 into basal media after exposure to gasoline and aviation fuel PM.
This study establishes, for the first time, a relationship between cellular response (effect) and morphological characteristics (likely cause) of nvPM from aircraft turbine engines. We hypothesize a primary causative link between cellular response, nvPM morphology, and fuel composition, while deposited number and mass, although critical, do not seem to be the primary factors driving the cellular responses assessed in the present study. Further research is necessary to elucidate the impact of aviation PM on human health. Moreover, Cassee and colleagues59 published a comprehensive review in 2013, discussing the importance of non-mass-related metrics, further strengthening our findings. We also propose differential mechanisms of how nvPM from Jet A-1 and HEFA blend fuels impair respiratory health. Well-controlled laboratory studies mimicking the in vivo situation to the greatest extent possible are warranted to better constrain adverse health effects and protect the people working at or living close to airports, especially in view of the projected growth of air traffic and the concomitant increased exposure to PM from aircraft turbine engines.
The in vitro study presented here shows that a single, short-term (1 h) exposure to nvPM from a CFM56-7B26 aircraft turbine increases cell membrane damage, leads to oxidative stress, and affects the pro-inflammatory response in bronchial epithelial cells both in a thrust level and fuel-type-dependent manner. Thus, we can expect nvPM from aircraft turbine exhaust to not only affect respiratory health but also render airway epithelia more vulnerable to secondary exposure to air pollutants and pathogens. Therefore, it is of extreme importance to characterize the exact effects of nvPM from aircraft on human health in order to protect at-risk populations. To further benefit from the unique experimental setup used in the present study, primary human airway cells should be included in any future work, as they bear functional similarity to the respiratory epithelium in vivo, most prominently mucus secretion and ciliary beating. Furthermore, cells isolated from human donors with different airway diseases like asthma and COPD, or with history of smoking, enable the study of various sub-populations and their susceptibility to adverse health effects after exhaust exposure.
Methods
Summary of experimental procedure
Aerosol was generated by a CFM56-7B26 turbofan engine and sampled with a standardized sampling system. Two different thrust conditions were sampled, 85% and ground-idle thrust, along with filtered aerosol as particle-free control (at 60% thrust for HEFA blend and 50% for Jet A-1). Two different fuel types were tested in the current study, conventional Jet A-1 aviation fuel and 32% v v−1 hydroprocessed esters and fatty acids (HEFA) blend fuel. Cultures of the human bronchial epithelial cell line BEAS-2B were exposed to the nvPM at ALI in the aerosol deposition chamber NACIVT for 60 min at physiological conditions. Relevant biomarkers of pulmonary response were measured at 24 h after exposure. Cytotoxicity was assessed by apical release of cytosolic LDH from damaged cells; oxidative stress by HMOX-1 gene expression studies and inflammatory responses by quantifying basolateral release of IL-6, IL-8, and MCP-1.
Aerosol generation, sampling, and characterization
Combustion aerosol was sampled from a run-in, airworthy CFM56-7B26 turbofan engine running in the test cell of SR Technics at Zurich Airport. The test cell is open to the ambient environment and the engine was fueled with standard Jet A-1 fuel (one exposure day) or a 32% v v−1 HEFA fuel blend (two separate exposure days). Fuel specifications are provided in Table 2. Engine thrust levels were controlled using the engine combustor inlet temperature (T3), for which the corresponding thrust levels for international standard atmospheric conditions (15 °C, 1013.25 hPa) are known. This approach is ordinarily used for the environmental certification of aircraft engines and in scientific studies29,60. Engine exhaust was collected using a state-of-the-art sampling system (Fig. 1a), which complied with the recommended standardized sampling practice61. The Multi Channel Process System (MCPS 7.0, CAD computer Inc.) software suite was used to collect real-time PM instrumentation data with a 1-Hz resolution and real-time data processing (flagging of stable sampling periods, merging of files) was performed in MATLAB R2017 (Mathworks Inc.) with a custom code. The NACIVT chamber was connected to the diluted PM sampling line in parallel to the particle instrumentation, which consisted of a Micro Soot Sensor (MSS, Model 483, AVL Inc.) for photo acoustically measuring particle mass62, an AVL particle counter (APC, Model 489, AVL Inc.) to determine particle number63, and a SMPS (Model 3938 consisting of the long differential mobility analyzer Model 3081A and the condensation particle counter Model 3776, TSI Inc.) to measure particle size distributions. The lower particle size cut-offs were 10 nm for the APC and 6 nm for the SMPS measurements. Particle size distribution data from the SMPS was collected using Aerosol Instrument Manager (AIM 10.2, TSI Inc.). Volatile organic compounds were removed upstream of the NACIVT chamber with a custom-made low-flow thermodenuder64 operated at 200, 200, and 100 °C on the preconditioning, first absorption, and second absorption sections, respectively. The particle data reported here correspond to conditions at the inlet of the exposure chamber. The actual exhaust concentrations at the engine exit are substantially higher due to sampling system losses and dilution (∼1:10). The sampling losses from the engine exit plane to the NACIVT inlet were evaluated similar to Durdina et al.60 using the measured SMPS particle size distributions and the size-dependent sampling line penetration functions, which consider thermophoretic and diffusional particle losses. Particle size integrated loss correction factors from the NACIVT inlet to the engine exit plane were in the range of 1.31–1.42 for particle mass and 2.45–5.96 for particle number, with the highest losses associated with the smallest particles at engine ground-idle. These correction factors account for differences in particle line losses between the PM instrumentation inlets and the NACIVT inlet, which were found to be in the range of 3–7% for non-volatile particle mass and 15–40% for non-volatile particle number65. All PM data was plotted using Igor Pro 7.0 (Wavemetrics Inc.) and Origin 2017 (Originlab Inc).
Cell cultures and aerosol exposures
Submersed, low passage BEAS-2B cells (CRL-9609™, American Type Culture Collection ATCC®, LGC Standards sàrl, Molsheim, France) were maintained in 10-cm PRIMARIA™ Tissue Culture Dishes (BD Falcon™, BD Biosciences, Allschwil, Switzerland) in 12 mL of serum-free LHC-basal medium (Gibco, Thermo Fisher Scientific, Life Technologies Europe B.V., Zug, Switzerland) supplemented with growth factors suitable for bronchial epithelial cell growth as previously described66. For aerosol exposure, cells were seeded at the density of 2 × 105 cells cm−2 for next day exposure on microporous 6.5 mm Transwell® supports (polyester membrane, 0.4 µm pores; Corning®) previously coated with type IV collagen (Merck & Cie, Schaffhausen, Switzerland), in recommended volume of medium containing retinoic acid in apical medium only. Four to eight hours prior to aerosol exposure, the apical surface of cells was washed once with Dulbecco’s phosphate-buffered saline (Gibco), basolateral media exchanged, and apical medium reduced to minimum (<1 mm, 40 µL) to mimic ALI conditions.
In the NACIVT chamber, the aerosol was applied to BEAS-2B cell cultures for 60 min, directly out of a conditioned airflow at physiological conditions. A fixed exposure duration was chosen for all thrust levels to have the same particle retention and clearance conditions in all cell cultures. Furthermore, particle doses deposited on the cells were comparable to our previous study8,58 and corresponded to daily doses delivered to the human tracheobronchial area at an ambient pollution level of <10 and 500 µg m−3 (for calculations see Supplementary Table 2). The chamber has been described in detail previously23. Briefly, the airstream passes a low-flow thermodenuder upstream of the NACIVT removing gaseous organic species64, and a unipolar diffusion charger applying 1–4 positive net charges depending on the mobility diameter. Thereafter, the aerosol flow is split into two fractions. One fraction is drawn to an internal aerosol electrometer to measure the particle concentration for the deposited particle-dose estimates on cells. The other fraction is conditioned to the physiological environment of mammalian cells, that is, to 37 ± 1 °C, 85 ± 5% relative humidity, and 5 ± 2% CO238,67,68, and passed on to the cell exposure chamber, where it is equally divided into 24 delivery tubes at a resulting flow rate of 25 mL min−1 per Transwell® insert. Precipitation of particles on cells occurs by electrostatic deposition, applying a DC voltage of 2 kV between the end of each aerosol delivery tube and the insert-holder plate. This results in uniform and efficient deposition of sub-micrometer-sized particles, reaching target tissue doses comparable to human ambient exposures69. For particle-free exposure, a Balston DFU Model 9933-11, grade BQ filter (Parker Hannifin Corporation, New York, USA) was mounted between the aerosol exhaust line and the thermodenuder. To account for the effects of transport, a non-treated incubator control was kept in parallel but never subjected to any exposure treatment in the NACIVT exposure chamber. Real-time particle deposition was estimated with Lab View 9.0.1.
Cell responses
Relevant biological markers indicating acute toxicity and impairment of normal lung function were selected based on previous studies with combustion-derived aerosol8,58 and measured 24 h after exposure to aerosol. Cytotoxicity was evaluated by the release of cytosolic LDH from damaged cells. Apical washes were collected 4 and 24 h post exposure and stored at −20 °C until analysis using the colorimetric cytotoxicity detection kitPLUS (Roche Diagnostics AG, Rotkreuz, Switzerland) according to the manufacturer’s instructions. Data were collected using EL808 microplate reader (BioTek Instruments GmbH, Sursee, Switzerland) and the corresponding software (KC Junior). Maximum releasable LDH was estimated in the supernatants of cells lysed with 100 µL 1% Triton-X solution for 10 min at 37 °C. Prior to toxicity calculations, absorption values were adjusted for volume differences. Cytotoxicity is presented as fold change in LDH activity (absorbance) over incubator control. The expression of the oxidative stress marker HMOX-1 was detected by quantitative polymerase chain reaction (qPCR). Cells were lysed in TRIzol® (Thermo Fisher Scientific) and total cell RNA extracted using Zymo Research Direct-zolTM mini prep plus columns (Lucerna Chem, Luzern, Switzerland) according to the manufacturer’s instructions. The complementaary DNA (cDNA) was prepared using the QuantiTect® reverse transcription kit (Qiagen, Hombrechtikon, Switzerland) according to the manufacturer’s instructions. Briefly, genomic DNA (gDNA) was removed from RNA samples with the provided gDNA Wipeout buffer for 2 min at 42 °C and subsequently stored on ice. Reverse transcription (RT) was performed with the provided RT mixes for 15 min at 42 °C, 3 min at 95 °C to inactivate enzymes, and stored at −20 °C until qPCR analysis. For gene expression analysis, 2 μL of tenfold diluted total cDNA was amplified using the Applied Biosystems 7900HT system (Thermo Fisher Scientific). The cycling parameters were: 15 min at 95 °C, 45 cycles of 15 s at 94 °C, 30 s at 55 °C, and 30 s at 72 °C, followed by a dissociation step confirming product specificity. Biological replicates were analyzed three separate times. Data were analyzed using Applied Biosystems SDS v2.4 and normalized to hypoxanthine-guanine phosphoribosyltransferase. Data are presented as fold change over incubator control. Release of the inflammatory mediators IL-6, IL-8, and MCP-1 into basolateral media was assessed 24 h after aerosol exposure. Samples were collected and stored at −20 °C until analysis. Cytokine secretions were quantified using the BioPlex-Pro™ 27-plex assay (Bio-Rad Laboratories AG, Cressier, Switzerland) and the corresponding software (BioPlex Manager 6.1) according to the manufacturer’s instructions and are represented as absolute quantification (pg mL−1).
Transmission electron microscopy (TEM) of soot particles
The particles studied by TEM were collected onto Cu-supported holey carbon film grids (200 mesh) inside the NACIVT chamber for 60 min, in parallel with cell exposures. TEM imaging was performed with a JEOL 2200FS microscope equipped with an Omega filter, a Schottky field emission gun at 200 kV, and a point-to-point resolution of 0.23 nm. Images were taken in low-resolution (TEM) and high-resolution (HRTEM) mode. Gatan DigitalMicrograph® was used for image analysis.
Statistical analysis
Cell cultures were exposed to aerosols in quadruplicates. Biological data are presented as fold change over incubator control or absolute quantification (pg mL−1). Statistical significance was determined with GraphPad Prism (v5 and v7) using a non-matching two-way analysis of variance with Bonferroni post-tests. Results are considered as statistically significant for p values < 0.05.
Reporting summary
Further information on experimental design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
This research was supported by the Swiss Federal Office for Civil Aviation (FOCA), projects 2016-037 (funding granted to M.G.) and 2015-113 (funding granted to B.T.B.). We acknowledge Dr. Yadira Arroyo Rojas Dasilva, Electron Microscopy Center Empa, for her assistance with Transmission Electron Microscope operation. Regula Haag and Dr. Daniel Rentsch from Empa performed the nuclear magnetic resonance spectroscopy analysis of the fuel hydrogen mass contents. Mike Weiner and his crew at SR Technics are acknowledged for the test cell and engine operations.
Author contributions
H.R.J. and M.G. designed and supervised the study. H.R.J., M.D., and Z.L. prepared the cell cultures, collected the biological samples, and performed the cell analyses. A.K. maintained and set up the NACIVT chamber, while H.R.J. operated it during aerosol sampling. B.T.B., L.D., and M.E. were in charge of fuel logistics and analysis, particle collection, and data analysis pertaining to particle mass and size. A.L. performed the morphological analysis of collected particles by electron microscopy. D.S. provided technical support. F.S. acted as a liaison between researchers and engine test cell staff and coordinated the engine lease. H.B. provided expert counsel. H.Rx.J., A.L., B.T.B., and M.G. wrote the manuscript, which was read, reviewed, and approved by all authors.
Data availability
All relevant source data are available from the authors. The following Figures and Tables have associated source data: Fig. 1b–d; Fig. 2b; Fig. 5a–c; Fig. 7a–c; Table 2.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Benjamin T. Brem, Email: benjamin.brem@psi.ch
Anthi Liati, Email: anthi.liati@empa.ch.
Marianne Geiser, Email: marianne.geiser@ana.unibe.ch.
Supplementary information
Supplementary information accompanies this paper at 10.1038/s42003-019-0332-7.
References
- 1.Masiol M, Harrison RM. Aircraft engine exhaust emissions and other airport-related contributions to ambient air pollution: a review. Atmos. Environ. 2014;95:409–455. doi: 10.1016/j.atmosenv.2014.05.070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Touri L, Marchetti H, Sari-Minodier I, Molinari N, Chanez P. The airport atmospheric environment: respiratory health at work. Eur Respir. Rev. 2013;22:124–130. doi: 10.1183/09059180.00005712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Tunnicliffe WS, et al. Pulmonary function and respiratory symptoms in a population of airport workers. Occup. Environ. Med. 1999;56:118–123. doi: 10.1136/oem.56.2.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ritchie G, et al. Biological and health effects of exposure to kerosene-based jet fuels and performance additives. J. Toxicol. Environ. Health B. 2003;6:357–451. doi: 10.1080/10937400306473. [DOI] [PubMed] [Google Scholar]
- 5.Yang CY, Wu TN, Wu JJ, Ho CK, Chang PY. Adverse respiratory and irritant health effects in airport workers in Taiwan. J. Toxicol. Environ. Health A. 2003;66:799–806. doi: 10.1080/15287390306383. [DOI] [PubMed] [Google Scholar]
- 6.Pleil JD, Smith LB, Zelnick SD. Personal exposure to JP-8 jet fuel vapors and exhaust at air force bases. Environ. Health Perspect. 2000;108:183–192. doi: 10.1289/ehp.00108183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.McCreanor J, et al. Respiratory effects of exposure to diesel traffic in persons with asthma. N. Eng. J. Med. 2007;357:2348–2358. doi: 10.1056/NEJMoa071535. [DOI] [PubMed] [Google Scholar]
- 8.Künzi L, et al. Responses of lung cells to realistic exposure of primary and aged carbonaceous aerosols. Atmos. Environ. 2013;68:143–150. doi: 10.1016/j.atmosenv.2012.11.055. [DOI] [Google Scholar]
- 9.Hesterberg TW, et al. Health effects research and regulation of diesel exhaust: an historical overview focused on lung cancer risk. Inhal. Toxicol. 2012;24:1–45. doi: 10.3109/08958378.2012.691913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jardim MJ, Fry RC, Jaspers I, Dailey L, Diaz-Sanchez D. Disruption of microRNA expression in human airway cells by diesel exhaust particles is linked to tumorigenesis-associated pathways. Environ. Health Perspect. 2009;117:1745–1751. doi: 10.1289/ehp.0900756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Shiraiwa M, et al. Aerosol health effects from molecular to global scales. Environ. Sci. Technol. 2017;51:13545–13567. doi: 10.1021/acs.est.7b04417. [DOI] [PubMed] [Google Scholar]
- 12.Hammond D, et al. Cardiovascular impacts and micro-environmental exposure factors associated with continuous personal PM2.5 monitoring. J. Expo. Sci. Environ. Epidemiol. 2014;24:337–345. doi: 10.1038/jes.2013.46. [DOI] [PubMed] [Google Scholar]
- 13.Vander Wal RL, Bryg VM, Hays MD. Fingerprinting soot (towards source identification): physical structure and chemical composition. J. Aerosol Sci. 2010;41:108–117. doi: 10.1016/j.jaerosci.2009.08.008. [DOI] [Google Scholar]
- 14.Harris SJ. Surface growth and soot particle reactivity. Combust. Sci. Technol. 1990;72:67–77. doi: 10.1080/00102209008951640. [DOI] [Google Scholar]
- 15.Al-Qurashi K, Boehman AL. Impact of exhaust gas recirculation (EGR) on the oxidative reactivity of diesel engine soot. Combust. Flame. 2008;155:675–695. doi: 10.1016/j.combustflame.2008.06.002. [DOI] [Google Scholar]
- 16.Song J, Alam M, Boehman AL, Kim U. Examination of the oxidation behavior of biodiesel soot. Combust. Flame. 2006;146:589–604. doi: 10.1016/j.combustflame.2006.06.010. [DOI] [Google Scholar]
- 17.Liati, A. et al. Microscopic investigation of soot and ash particulate matter derived from biofuel and diesel: Implications for the reactivity of soot. J. Nano. Res.14, 1224 (2012).
- 18.Liati A, et al. Electron microscopic study of soot particulate matter emissions from aircraft turbine engines. Environ. Sci. Technol. 2014;48:10975–10983. doi: 10.1021/es501809b. [DOI] [PubMed] [Google Scholar]
- 19.Allouis C, et al. Measurements of ultrafine particles from a gas-turbine burning biofuels. Exp. Therm. Fluid Sci. 2010;34:258–261. doi: 10.1016/j.expthermflusci.2009.10.034. [DOI] [Google Scholar]
- 20.Boies AM, et al. Particle emission characteristics of a gas turbine with a double annular combustor. Aerosol Sci. Technol. 2015;49:842–855. doi: 10.1080/02786826.2015.1078452. [DOI] [Google Scholar]
- 21.Lobo P, et al. Measurement of aircraft engine non-volatile PM emissions: results of the Aviation-Particle Regulatory Instrumentation Demonstration Experiment (A-PRIDE) 4 Campaign. Aerosol Sci. Technol. 2015;49:472–484. doi: 10.1080/02786826.2015.1047012. [DOI] [Google Scholar]
- 22.Harris SJ, Maricq MM. Signature size distributions for diesel and gasoline engine exhaust particulate matter. J. Aerosol Sci. 2001;32:749–764. doi: 10.1016/S0021-8502(00)00111-7. [DOI] [Google Scholar]
- 23.Jabbal S, Poli G, Lipworth B. Does size really matter?: relationship of particle size to lung deposition and exhaled fraction. J. Allergy Clin. Immunol. 2017;139:2013–2014.e1. doi: 10.1016/j.jaci.2016.11.036. [DOI] [PubMed] [Google Scholar]
- 24.Geiser M, Kreyling WG. Deposition and biokinetics of inhaled nanoparticles. Part. Fibre Toxicol. 2010;7:2. doi: 10.1186/1743-8977-7-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bakand S, Hayes A, Dechsakulthorn F. Nanoparticles: a review of particle toxicology following inhalation exposure. Inhal. Toxicol. 2012;24:125–135. doi: 10.3109/08958378.2010.642021. [DOI] [PubMed] [Google Scholar]
- 26.Fujitani Y, et al. Seasonal differences of the atmospheric particle size distribution in a metropolitan area in Japan. Sci. Total Environ. 2012;437:339–347. doi: 10.1016/j.scitotenv.2012.07.085. [DOI] [PubMed] [Google Scholar]
- 27.Ruckerl R, Schneider A, Breitner S, Cyrys J, Peters A. Health effects of particulate air pollution: a review of epidemiological evidence. Inhal. Toxicol. 2011;23:555–592. doi: 10.3109/08958378.2011.593587. [DOI] [PubMed] [Google Scholar]
- 28.Pope CA, 3rd, Ezzati M, Dockery DW. Fine-particulate air pollution and life expectancy in the United States. N. Engl. J. Med. 2009;360:376–386. doi: 10.1056/NEJMsa0805646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.ICAO. Environmental Protection: Vol. II Aircraft Engine Emissions 4th edn, Annex 16 to the Convention on International Civil Aviation (ICAO, Montréal, 2018).
- 30.Bérubé KA, et al. Physicochemical characterisation of diesel exhaust particles: factors for assessing biological activity. Atmos. Environ. 1999;33:1599–1614. doi: 10.1016/S1352-2310(98)00384-7. [DOI] [Google Scholar]
- 31.Kocbach Bølling A, et al. Health effects of residential wood smoke particles: the importance of combustion conditions and physicochemical particle properties. Part. Fibre Toxicol. 2009;6:29. doi: 10.1186/1743-8977-6-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kennedy IM. The health effects of combustion-generated aerosols. Proc. Combust. Inst. 2007;31:2757–2770. doi: 10.1016/j.proci.2006.08.116. [DOI] [Google Scholar]
- 33.Yehliu K, Vander Wal RL, Armas O, Boehman AL. Impact of fuel formulation on the nanostructure and reactivity of diesel soot. Combust. Flame. 2012;159:3597–3606. doi: 10.1016/j.combustflame.2012.07.004. [DOI] [Google Scholar]
- 34.Pahalagedara L, et al. Structure and oxidation activity correlations for carbon blacks and diesel soot. Energy Fuels. 2012;26:6757–6764. doi: 10.1021/ef301331b. [DOI] [Google Scholar]
- 35.Bunger J, Krahl J, Schroder O, Schmidt L, Westphal GA. Potential hazards associated with combustion of bio-derived versus petroleum-derived diesel fuel. Crit. Rev. Toxicol. 2012;42:732–750. doi: 10.3109/10408444.2012.710194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Traviss N, Thelen BA, Ingalls JK, Treadwell MD. Biodiesel versus diesel: a pilot study comparing exhaust exposures for employees at a rural municipal facility. J. Air Waste Manag. Assoc. (1995) 2010;60:1026–1033. doi: 10.3155/1047-3289.60.9.1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Hemmingsen JG, Møller P, Nøjgaard JK, Roursgaard M, Loft S. Oxidative stress, genotoxicity, and vascular cell adhesion molecule expression in cells exposed to particulate matter from combustion of conventional diesel and methyl ester biodiesel blends. Environ. Sci. Technol. 2011;45:8545–8551. doi: 10.1021/es200956p. [DOI] [PubMed] [Google Scholar]
- 38.Jeannet N, Fierz M, Kalberer M, Burtscher H, Geiser M. Nano aerosol chamber for in-vitro toxicity (NACIVT) studies. Nanotoxicology. 2015;9:34–42. doi: 10.3109/17435390.2014.886739. [DOI] [PubMed] [Google Scholar]
- 39.Brem BT, et al. Effects of fuel aromatic content on nonvolatile particulate emissions of an in-production aircraft gas turbine. Environ. Sci. Technol. 2015;49:13149–13157. doi: 10.1021/acs.est.5b04167. [DOI] [PubMed] [Google Scholar]
- 40.Speth RL, Rojo C, Malina R, Barrett SRH. Black carbon emissions reductions from combustion of alternative jet fuels. Atmos. Environ. 2015;105:37–42. doi: 10.1016/j.atmosenv.2015.01.040. [DOI] [Google Scholar]
- 41.Moore RH, et al. Influence of jet fuel composition on aircraft engine emissions: a synthesis of aerosol emissions data from the NASA APEX, AAFEX, and ACCESS missions. Energy Fuels. 2015;29:2591–2600. doi: 10.1021/ef502618w. [DOI] [Google Scholar]
- 42.Fierz M, Vernooij MGC, Burtscher H. An improved low-flow thermodenuder. J. Aerosol Sci. 2007;38:1163–1168. doi: 10.1016/j.jaerosci.2007.08.006. [DOI] [Google Scholar]
- 43.Kilic, D. et al. Identification of secondary aerosol precursors emitted by an aircraft turbofan. Atmos. Chem. Phys.18, 7379–7391 (2018).
- 44.Yehliu K, Vander Wal RL, Boehman AL. A comparison of soot nanostructure obtained using two high resolution transmission electron microscopy image analysis algorithms. Carbon N. Y. 2011;49:4256–4268. doi: 10.1016/j.carbon.2011.06.003. [DOI] [Google Scholar]
- 45.Garcia-Canton C, Minet E, Anadon A, Meredith C. Metabolic characterization of cell systems used in in vitro toxicology testing: lung cell system BEAS-2B as a working example. Toxicol. Vitr. 2013;27:1719–1727. doi: 10.1016/j.tiv.2013.05.001. [DOI] [PubMed] [Google Scholar]
- 46.Steerenberg PA, et al. Diesel exhaust particles induced release of interleukin 6 and 8 by (primed) human bronchial epithelial cells (BEAS 2B) in vitro. Exp. Lung Res. 1998;24:85–100. doi: 10.3109/01902149809046056. [DOI] [PubMed] [Google Scholar]
- 47.Totlandsdal AI, Lag M, Lilleaas E, Cassee F, Schwarze P. Differential proinflammatory responses induced by diesel exhaust particles with contrasting PAH and metal content. Environ. Toxicol. 2015;30:188–196. doi: 10.1002/tox.21884. [DOI] [PubMed] [Google Scholar]
- 48.Lepers C, et al. Xenobiotic metabolism induction and bulky DNA adducts generated by particulate matter pollution in BEAS-2B cell line: geographical and seasonal influence. J. Appl. Toxicol. 2014;34:703–713. doi: 10.1002/jat.2931. [DOI] [PubMed] [Google Scholar]
- 49.Seriani R, et al. Human bronchial epithelial cells exposed in vitro to diesel exhaust particles exhibit alterations in cell rheology and cytotoxicity associated with decrease in antioxidant defenses and imbalance in pro- and anti-apoptotic gene expression. Environ. Sci. Pollut. Res. Int. 2016;23:9862–9870. doi: 10.1007/s11356-016-6228-x. [DOI] [PubMed] [Google Scholar]
- 50.Yu T, et al. The use of a 0.20 mum particulate matter filter decreases cytotoxicity in lung epithelial cells following air–liquid interface exposure to motorcycle exhaust. Environ. Pollut. (Barking, Essex: 1987). 2017;227:287–295. doi: 10.1016/j.envpol.2017.04.080. [DOI] [PubMed] [Google Scholar]
- 51.Miller FJ, Asgharian B, Schroeter JD, Price O. Improvements and additions to the Multiple Path Particle Dosimetry model. J. Aerosol Sci. 2016;99:14–26. doi: 10.1016/j.jaerosci.2016.01.018. [DOI] [Google Scholar]
- 52.Anjilvel S, Asgharian B. A multiple-path model of particle deposition in the rat lung. Fundam. Appl. Toxicol. 1995;28:41–50. doi: 10.1006/faat.1995.1144. [DOI] [PubMed] [Google Scholar]
- 53.(RIVM) NIfPHatE. Multiple Path Particle Dosimetry Model (MPPD v 1.0): A Model for Human and Rat Airway Particle Dosimetry. RIVA Report 650010030 (Bilthoven, The Netherlands, 2002).
- 54.He RW, Shirmohammadi F, Gerlofs-Nijland ME, Sioutas C, Cassee FR. Pro-inflammatory responses to PM0.25 from airport and urban traffic emissions. Sci. Total Environ. 2018;640–641:997–1003. doi: 10.1016/j.scitotenv.2018.05.382. [DOI] [PubMed] [Google Scholar]
- 55.Elsasser M, et al. Dynamic changes of the aerosol composition and concentration during different burning phases of wood combustion. Energy Fuels. 2013;27:4959–4968. doi: 10.1021/ef400684f. [DOI] [Google Scholar]
- 56.Orasche J, et al. Comparison of emissions from wood combustion. Part 1: emission factors and characteristics from different small-scale residential heating appliances considering particulate matter and polycyclic aromatic hydrocarbon (PAH)-related toxicological potential of particle-bound organic species. Energy Fuels. 2012;26:6695–6704. doi: 10.1021/ef301295k. [DOI] [Google Scholar]
- 57.Weimer, S. et al. Organic aerosol mass spectral signatures from wood-burning emissions: influence of burning conditions and wood type. J. Geophys. Res.113, D10304 (2008). 10.1029/2007JD009309.
- 58.Kunzi L, et al. Toxicity of aged gasoline exhaust particles to normal and diseased airway epithelia. Sci. Rep. 2015;5:11801. doi: 10.1038/srep11801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Cassee FR, Héroux ME, Gerlofs-Nijland ME, Kelly FJ. Particulate matter beyond mass: recent health evidence on the role of fractions, chemical constituents and sources of emission. Inhal. Toxicol. 2013;25:802–812. doi: 10.3109/08958378.2013.850127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Durdina L, et al. Assessment of particle pollution from jetliners: from smoke visibility to nanoparticle counting. Environ. Sci. Technol. 2017;51:3534–3541. doi: 10.1021/acs.est.6b05801. [DOI] [PubMed] [Google Scholar]
- 61.SAE International. ARP 6320 Procedure for the Continuous Sampling and Measurement of Non-Volatile Particulate Matter Emissions from Aircraft Turbine Engines (SAE International, Warrendale, 2018).
- 62.Schindler, W. et al. A photoacoustic sensor system for time resolved quantification of diesel soot emissions. SAE Transactions 113, 483–490 (2004).
- 63.Barouch G, Martin C, Herwig J, Alexander B. Calibration and accuracy of a particle number measurement system. Meas. Sci. Technol. 2010;21:045102. doi: 10.1088/0957-0233/21/4/045102. [DOI] [Google Scholar]
- 64.Fierz M, Vernooij M, Vernooij H. An improved low-flow thermodenuder. J. Aerosol Sci. 2007;38:1163–1168. doi: 10.1016/j.jaerosci.2007.08.006. [DOI] [Google Scholar]
- 65.SAE International. ARP 6481 Procedure for the Calculation of Sampling Line Penetration Functions and Line Loss Correction Factors (SAE International, Warrendale, 2018).
- 66.Danahay H, Atherton H, Jones G, Bridges RJ, Poll CT. Interleukin-13 induces a hypersecretory ion transport phenotype in human bronchial epithelial cells. Am. J. Physiol. Lung Cell. Mol. Physiol. 2002;282:L226–L236. doi: 10.1152/ajplung.00311.2001. [DOI] [PubMed] [Google Scholar]
- 67.Birmili, W. et al. Measurements of humidified particle number size distributions in a Finnish boreal forest: Derivation of hygroscopic particle growth factors. Boreal Env. Res.14, 458–480 (2009).
- 68.Geiser, M., Jeannet, N., Fierz, M. & Burtscher, H. Evaluating adverse effects of inhaled nanoparticles by realistic in vitro technology. Nanomaterials7, 49 (2017). [DOI] [PMC free article] [PubMed]
- 69.Paur HR, et al. In-vitro cell exposure studies for the assessment of nanoparticle toxicity in the lung—a dialog between aerosol science and biology. J. Aerosol Sci. 2011;42:668–692. doi: 10.1016/j.jaerosci.2011.06.005. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant source data are available from the authors. The following Figures and Tables have associated source data: Fig. 1b–d; Fig. 2b; Fig. 5a–c; Fig. 7a–c; Table 2.