| Literature DB >> 27075250 |
Takayuki Kameda1, Eri Azumi2, Aki Fukushima2, Ning Tang2, Atsushi Matsuki3, Yuta Kamiya1, Akira Toriba2, Kazuichi Hayakawa2,3.
Abstract
Atmospheric nitrated polycyclic aromatic hydrocarbons (NPAHs), which have been shown to have adverse health effects such as carcinogenicity, are formed in part through nitration reactions of their parent polycyclic aromatic hydrocarbons (PAHs) in the atmosphere. However, little is known about heterogeneous nitration rates of PAHs by gaseous NO2 on natural mineral substrates, such as desert dust aerosols. Herein by employing kinetic experiments using a flow reactor and surface analysis by Fourier transform infrared spectroscopy with pyridine adsorption, we demonstrate that the reaction is accelerated on acidic surfaces of mineral dust, particularly on those of clay minerals. In support of this finding, we show that levels of ambient particle-associated NPAHs in Beijing, China, significantly increased during heavy dust storms. These results suggest that mineral dust surface reactions are an unrecognized source of toxic organic chemicals in the atmosphere and that they enhance the toxicity of mineral dust aerosols in urban environments.Entities:
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Year: 2016 PMID: 27075250 PMCID: PMC4830986 DOI: 10.1038/srep24427
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Concentrations of Py and nitropyrenes (1-NP and DNPs) on quartz (a) and CDD (b) (expressed as a percent of the initial Py concentration) after exposure to 3 ppmv NO2 for the indicated times. The data points represent mean values (±1 SD) of triplicate experiments: circles, Py; squares, 1-NP; diamonds, DNPs (=1,3-DNP + 1,6-DNP + 1,8-DNP). The curves for Py decay are exponential nonlinear least-squares fits assuming first-order reactions. See Methods for details. The curves for nitropyrene formation are for illustrative purposes only.
Observed pseudo-first order rate constants for the reaction of Py on the substrates examined in this study with 3 ppmv NO2 (obs), apparent reaction probabilities of NO2 with the surface-adsorbed Py (γ), percentage of degraded Py (Py), yields of 1-NP (1−NP), and initial surface coverages of Py (Py,0).
| Substrates | DNP formation | |||||
|---|---|---|---|---|---|---|
| Chinese desert dust (CDD) | 86 ± 4 | 14 ± 1 | 96 | 53 | + | 2.8 |
| Arizona test dust (ATD) | 36 ± 1 | 6.1 ± 0.2 | 88 | 58 | + | 7.7 |
| Kaolin | 110 ± 10 | 18 ± 1 | 98 | 60 | + | 1.5 |
| Montmorillonite A | 53 ± 5 | 9.0 ± 0.8 | 95 | 89 | + | 2.0 |
| Montmorillonite B | 29 ± 4 | 4.9 ± 0.7 | 84 | 79 | + | 5.8 |
| Saponite | 39 ± 3 | 6.6 ± 0.4 | 82 | 73 | − | 0.27 |
| Potassium feldspar | 1.1 ± 0.2 | 0.19 ± 0.03 | 14 | 10 | − | 11 |
| Sodium feldspar | 0.30 ± 0.06 | 0.05 ± 0.01 | 12 | 6 | − | 58 |
| Feldspar | 0.86 ± 0.14 | 0.15 ± 0.02 | 17 | 4 | − | 27 |
| Limestone | 1.4 ± 0.1 | 0.24 ± 0.01 | 18 | 5 | − | 21 |
| Dolomite | 0.83 ± 0.15 | 0.14 ± 0.03 | 16 | 4 | − | 11 |
| Calcium sulfate | 1.5 ± 0.5 | 0.25 ± 0.09 | 6 | 0 | − | 49 |
| Quartz | 1.7 ± 0.1 | 0.28 ± 0.01 | 9 | 5 | − | 63 |
| Aluminum oxide | 0.25 ± 0.00 | 0.04 ± 0.00 | 2 | 1 | − | 6.7 |
| Iron (III) oxide | 9.0 ± 3.3 | 1.5 ± 0.6 | 17 | 0 | − | 6.9 |
| Titanium (IV) oxide | 1.4 ± 0.0 | 0.24 ± 0.00 | 14 | 3 | − | 5.2 |
| Montmorillonite K10 | 250 ± 20 | 43 ± 3 | 100 | 6 | + | 0.72 |
| ATD w/ NH3 titration | 15 ± 2 | 2.5 ± 0.4 | 62 | 31 | − | 7.7 |
| Graphite | 1.9 ± 0.1 | 0.32 ± 0.01 | 9 | 1 | − | 2.6 |
*Errors represent one standard error derived from nonlinear least-squares fitting for the Py decay plots.
†Obtained from reactions for 2 h.
‡Reaction time, 12 h; +, yes; −, no.
§Note that kaolin consists largely of kaolinite.
||Acid-activated montmorillonite.
¶Acidic surface of ATD was pre-titrated with NH3. See Methods for details.
#As a control.
Figure 2IR spectra of pyridine adsorbed on the mineral substrates examined in this study.
To improve legibility, the data were split into two panels.
Figure 3Pseudo-first order rate coefficient (kobs) as a function of gas-phase NO2 concentration.
The curves are nonlinear least-squares fits based on Langmuir–Hinshelwood-type mechanism (equation (2)). The upper data set was for CDD, the lower one for ATD. The error bars represent one standard error derived from nonlinear least-squares fitting for the Py decay plots.
Figure 4Atmospheric dust, PAHs, NO2 and 1-NP concentrations in Beijing in March 2010.
(a) Size-fractionated particle-bound 1-NP. (b) Gaseous NO2 and size-fractionated particle-bound PAHs. (c) Aeolian dust. Variation in concentration of 1-NP relative to that of BkF (1-NP/BkF) is also shown in (c). The daily mean concentrations of aeolian dust were obtained from the LIDAR DSS Observation Data Page52. The NO2 data was converted from the daily API value obtained from the website of the Beijing Public Net for Environmental Protection53. Arrows indicate a heavy dust period.