Skip to main content
Toxicological Research logoLink to Toxicological Research
. 2018 Apr 15;34(2):163–172. doi: 10.5487/TR.2018.34.2.163

Comparison of Mutagenic Activities of Various Ultra-Fine Particles

Chang Gyun Park 1, Hyun Ki Cho 1, Han Jae Shin 2, Ki Hong Park 3, Heung Bin Lim 1,
PMCID: PMC5903137  PMID: 29686778

Abstract

Air pollution is increasing, along with consumption of fossil fuels such as coal and diesel gas. Air pollutants are known to be a major cause of respiratory-related illness and death, however, there are few reports on the genotoxic characterization of diverse air pollutants in Korea. In this study, we investigated the mutagenic activity of various particles such as diesel exhaust particles (DEP), combustion of rice straw (RSC), pine stem (PSC), and coal (CC), tunnel dust (TD), and road side dust (RD). Ultra-fine particles (UFPs) were collected by the glass fiber filter pad. Then, we performed a chemical analysis to see each of the component features of each particulate matter. The mutagenicity of various UFPs was determined by the Ames test with four Salmonella typhimurium strains with or without metabolic activation. The optimal concentrations of UFPs were selected based on result of a concentration decision test. Moreover, in order to compare relative mutagenicity among UFPs, we selected and tested DEP as mutation reference. DEP, RSC, and PSC induced concentration-dependent increases in revertant colony numbers with TA98, TA100, and TA1537 strains in the absence and presence of metabolic activation. DEP showed the highest specific activity among the particulate matters. In this study, we conclude that DEP, RSC, PSC, and TD displayed varying degrees of mutagenicity, and these results suggest that the mutagenicity of these air pollutants is associated with the presence of polycyclic aromatic hydrocarbons (PAHs) in these particulate matters.

Keywords: Air pollution, Ultra-fine particle, Mutagenicity, Ames test

INTRODUTCION

Earth’s atmosphere has been polluted as a result of continuing urbanization and industrialization. The generated byproducts (e.g., exhaust particles from automobiles, combustion particles, and heavy metals) have shown various negative effects in people and have seriously contaminated the air. Recently, air conditions in China are worsening because of industrialization, global warming, and air stagnation (1). Fine particles from vehicle exhaust and coal and biomass combustion, with diameters of less than 10 μM, are generally called PM10, and PM2.5 (particle with diameters less than 2.5 μM) called ultra-fine particles (UFPs). These UFPs are created by photochemical reactions between dust, metalloids, harmful substances, and products of combustion from factories or vehicles. UFPs usually consist of organic, and inorganic materials and ions (2,3). UFPs are reported to be comprised of organic compounds (50%), trace metal oxides (14%), elemental carbon (8.7%), and nitrate (6.8%), in addition to catalytic metals such as Fe, Ti, Cr, Zn, and Ce. Therefore, UFPs have been pressing problems since our primitive society. Typically, particles larger than 10 μM can be filter by the nose or throat, whereas those that are 2.5~10 μM are removed by coughing or spitting. Smaller particles (less than 2.5 μM), can easily penetrate the deepest alveolar regions of the lung. PM2.5 represent almost 60% of all fine particles, and even when the UFPs are water-soluble, they can reach alveolar-capillaries directly (4,5). Due to these factors, fine dust causes directly adverse effects to humans, the rate of asthma, chronic obstructive pulmonary disease (COPD), cardiovascular disease (CVD), and lung cancer are increasing in our society, especially, rate of the above diseases are higher in cities, which have higher levels of particulate matters than those in the country (6,7).

So, the health adverse effects of particle matters (PMs) and UFPs which are directly effect in our body are focused on the pulmonary toxicity and mutagenicity (810). From among these, toxicity of UFPs have been important, for determining their effects on DNA. Many studies have been reported in which many PMs showed mutagenicity and actually affects DNA. DEP (11), Biomass (12), Coal combustion (13), and Dust (14) have been reported with mutagenicity, and these toxicity reasons have been associated with the existences of nitroarenes, aromatic amines, and polycyclic aromatic hydrocarbons (PAHs). However, even with same type of PMs, the constituents and their toxicities are changed depending on the environment and external conditions (1517). Thus, we cannot determine the toxicity about one type of PMs as a representative standard, toxicity data on PMs according to various types and conditions are required. Indeed, most of the previous studies have evaluated only PMs, and measurements as UFP are limited or still insufficient in types.

In this study, we collected five UFPs (RSC, PSC, CC, TD, and RD) among PMs which be generated and influence directly or indirectly around us, and a revertant mutagenicity assay (Ames test) was conducted for determining a possibility of potential carcinogenicities of the five UFPs. Ames test is a reversion mutation experiment, it has the advantage that it can be easily carried out at relatively low cost and within a short period of time and it is widely used in initial genotoxicity screening experiments (18,19). Also, in order to compare relative mutagenicity among UFPs, we selected and tested DEP as mutation reference. Through this study, we measured the carcinogenicities of UFPs that could be exposed around us, and compared in order to inform people the dangerousness and seriousness of UFPs.

MATERIALS AND METHODS

Reagents

Dimethyl sulfoxide (DMSO), 2-aminoanthracen (2AA), 4-nitroquinoline-oxide (4NQO), sodium azide (SA), agar, glucose, histidine/biotin, oxoid nutrient broth no.2, and NaCl were purchased from Sigma-Aldrich Company (Bellefonte, PA, USA). The S9 fraction of rat liver and co-factors for the NADH regenerating system were purchased from Mol-Tox (Boone, NC, USA) and Wako (Osaka, Japan). All other chemicals and the used reagents were of high-performance liquid chromatography.

Collection of UFPs

All PMs were collected on glass fiber filters and stored in desiccator. Before collection, filters had been kept for more than 24 hr in a desiccator and then weighed, and after collection, filters were again kept for more than 24 hr in a desiccator and weighed. The masses of the collected particles were calculated as the difference between the pre-collection and collection weights. The collected filters were extracted with DMSO at 250 rpm and room temperature for 60 min, and then used for mutagenicity test after filtering with a syringe filter (glass microfiber membrane, 1.2 μM). We purchased DEP from the National Institute for Environmental Studies (NIES), Japan. DEP was collected from exhaust particulates, using fiber glass filters, from car with a 4JB1 type 2,740 cc four-cylinder direct-injection diesel engine at 1,500 rpm and, 10 torque (10 kg/m). Flaming coal and bituminous coal were obtained from the Ha-dong thermoelectric power plant, Republic of Korea. We operated a solid aerosol generator in 20.67~22 L per minute (LPM) flow conditions for generating aerosol-type of coal powder. The coal powders were inserted at a speed 3.6 g/hr and were heated to 1,100°C furnace (a drop tube furnace with a quartz tube, Lindberg/Blue M, Model HTF55342C, Thermo Electron Corp, USA). After cooling system, CC particles less than 2.5 μM were selectively trapped using a Cyclone (URG-2000-30EG, URG Corporation, NC, USA) and vacuum pump at a flow rate of 16.7 LPM. To collect RSC and PSC, we used a biomass system machine created by Gwangju Institution Science and Technology (GIST) for sample collection of these materials, Republic of Korea. Twenty-five grams of RSC or PSC was placed in the combustion chamber and burned by torch for 1~2 min. After this, the samples were collected selectively less than 2.5 μM particles by using Cyclone (URG-2000-30EG, URG corporation) and vacuum pump a flow rate of 16.7 LPM. We gathered the RD (in Unamdong Gwangju) from heavy traffic with measurement network and TD (in Biadong Gwangju) from center of a city by broom and dustpan. Then, these samples were filtered progressively by sieves with diameters of 1.7 mM and 38 μM. As the result of filtering, we could gather particulate matters each less than diameter of 38 μM particles. To get less than diameter of 2.5 μM particles selectively, we used a solid aerosol generator (SAG-410, TOPAS-GMBH, DRS, Germany) for regenerating 24.5 LPM and exploited Cyclone (URG-2000-30EG, URG corporation), vacuum pump in condition of 16.7 LPM.

Chemical analysis

The chemical analysis, was conducted using a PTFE membrane filter (Zeflour, pore size: 2.0 μM, diameter: 47 mM, Pall Corporation, Ann Arbor, MI, USA). In addition, organic carbon (OC)/elemental carbon (EC) or OC speciation analyses were conducted using a quartz filter that was equipped with a carbon denuder. We performed a chemical analysis to identify each compounds in collected UFPs. To determine OC and EC contents, we used a quartz filter that was baked at 450°C for analysis of OC, EC, and OC speciation, sample filters were subjected to a carbon denuder to remove the gas phase. OC, EC and total PAHs of DEP referred to the McDonald et al (19). Lastly, for ion analysis, we performed ion chromatography (850 Professional IC, Metrohm, St. Gallen, Switzerland), to analyze metals by inductively coupled plasma-mass spectrometer (ICP-MS, Waters, Milford, MA, USA) after sample filtering.

Mutagenicity assay

The Salmonella typhimurium test strains used in this study were kindly provided by the Korea Institute of Toxicology (KIT). We used strains TA98 and TA1537 to search for frame-shift mutations and strains TA100 and TA1535 to search for nucleotide substitutions. Before using these strains in tests, we checked for the genotypic characteristics of each strains (the histidine requirement, uvrB mutation, R-factor, rfa mutations, and spontaneous mutations). Then we could use the strains in the test. Mutagenicity was evaluated in S. typhimurium strains according to the method described by Maron and Ames (17). We used four strains to search for mutations in response to particulate matters. According to applicate with metabolic activation (S9 mix) or not, the test materials were subjected to direct plate incorporation. DMSO was added to an agar plate as a negative control substance. The optimal concentration of each sample for testing was determined by a concentration decision test. We dispensed 2 mL of the top agar sterilized in high pressure steam into a sterilized tube at 45°C. And 100 μL of test sample which was dissolved with DMSO to various concentration, 100 μL of cultured strain and 500 μL of S9 mix or 0.2 M sodium phosphate buffer (pH 7.4) compounded at the tube. Then, the compounded tube was vortexed for 2~3 sec and was smeared minimal glucose agar plate properly. When the plate had become hard, we closed a cover of the plate and overturned the plate. After culturing plates for 48 hr in an incubator at 37°C, we counted the number of revertant colonies in each plate.

Concentration decision test

To determine the proper concentrations for testing, a prepared stock solution was 10 mg/mL with DMSO because of limitations in the total particulate matter (TPM) from each of the extracted UFPs. For this reason, we set the maximum concentration for this test at 1 mg/plate. After the test, when reverse mutation colonies were reproducible, and twice the number colonies observed comparing with negative controls, then we considered the plate positive for a mutation. If the background lawn was diminished compared to those in the negative controls, this was evidence of severe toxicity. Based on these results, we established the optimal concentrations.

Statistical analysis

Data obtained from the experiments are presented as means ± standard deviations (SD) of at least three replicates. A one-way analysis of variance was conducted to compare the results obtained from testing each type of particulate matters. Student’s t-test was performed for the statistical analysis of differences, with p values less than 0.01 and 0.001 considered significant.

RESULTS

Chemical analysis

Results of the particulate matters analysis are shown in Table 1. The particulate matters filtrated in glass fiber filter were used for an analysis of chemical characteristics, including inorganic ions, organic carbons, elemental carbons, and other element contents. Through the chemical analysis, we could see each of the component features of each particulate matter. When the OC and EC contents expressed by μg/m3 were compared, PSC had the most EC (8,587 μg/m3) and, RSC had most OC (41,548 μg/m3), followed by PSC (28,566 μg/m3). Other UFPs had not many amount of EC and OC against with DEP, RSC, and PSC. In case of ion contents, CC showed highest contents (382.3 μg/mg), followed by TD (71.1 μg/mg), RSC (63.2 μg/mg), DEP (29.0 μg/mg), PSC (26.8 μg/mg), and RD (23.4 μg/mg). The PSC had the most total PAH contents (652.6 μg/m3). To compare relative contents of PAHs, which are known as major mutagenicity compounds, we calculated the percentage of PAH per OC (PAH/OC) and found that DEP had the highest percent compared with all tested other UFPs (9.4%). Lastly, in the metals, CC had the most contents (109.1 μg/mg), followed by TD (69.4 μg/mg), RD (25.2 μg/mg), DEP (9.6 μg/mg), PSC (0.7 μg/mg), and RSC (0.6 μg/mg). As a result of component analysis, RSC, and PSC had relatively large amounts of OC and EC and total PAHs. In the case of TD and RD containing coal, it showed low content of OC, EC, and PAHs, but showed features with relatively more metals contents than others.

Table 1.

Analysis of particulate matters

Analytesa DEP RSC PSC CC TD RD
Element carbon (μg/m3) 557.1b 1392 8587 1.5c 0.57 1.37
Organic carbon (μg/m3) 192.9b 41548 28566 50 5.33 3.44
Ions (μg/mg) 29.0 63.2 26.8 382.3 71.1 23.4

Total PAHs (μg/m3) 18.1b 170.2 652.6 127c 8.2c 4.7c
Total PAHs/OC (%) 9.38 0.41 2.28 0.25 0.15 0.14

Metals (μg/mg) 9.6 0.6 0.7 109.1 69.4 25.2
a

DEP: diesel exhaust particles, RSC: rice straw combustion, PSC: pine stem combustion, CC: coal combustion, TD: tunnel dust, RD: road side dust,

b

The PHAs concentration on DEP was measured by McDonald et al. (19),

c

Concentration unit of ng/m3 NA: Not analyzed.

Concentration decision test

In the concentration decision test, it was determined reasonable particulate matter concentrations with showing mutagenicity in the TA98 strain, with or without metabolic activation (Fig. 1). This test was conducted using three plates per each of concentrations, and there were not any contaminants on the plates, determined by examining the maximum concentration and axenic culture with the S9 mix. Metabolic activation (S9 mix) in this test was confirmed using 2-aminoantracene (2-AA) as a positive control material that showed remarkable mutagenicity for TA98 strain.

Fig. 1.

Fig. 1

The concentration decision results of DEP and UFPs in Ames test with TA98 strain. (A) Mutagenic response of TA98 strain in absence of metabolic activation, (B) mutagenic response of TA98 strain in metabolic activation. # The fold change values are less than 1.0 (negative control). DEP: diesel exhaust particles, RSC: rice straw combustion, PSC: pine stem combustion, CC: coal combustion, TD: tunnel dust, RD: road side dust. The fold change is calculated as a relative numerical value, with the particulate matters-exposed colony numbers divided by that of the negative control.

Different numbers of revertant colonies were observed for the test particulate matters up to 1,000 μg/plate which was a maximum concentration. The test results were calculated as a relative numerical value, with the particulate matters-exposed colony numbers divided by that of the negative control. In this test, DEP showed a high fold change values from the initial concentration (100 μg/plate) without and with metabolic activation enzyme system, but the increased fold change was decreased from 400 μg/plate concentrations. Thus, the DEP was tested again for searching appropriate mutagenic concentration, finally, 10 μg/plate of DEP was optimal fold change value than 100 μg/plate (data not shown). In case of RSC, the concentration-dependent response was observed up to 600 μg/plate concentrations. However, the increased fold changes were decreased after 600 μg/plate regardless of the S9 mix. PSC also showed that the highest fold change at 100 μg/plate, the fold change was on the decline after 100 μg/plate concentration regardless of the S9 mix. CC did not show any mutagenicity, but the revertant colonies were decreased in comparison with negative control from 400 μg/plate concentration regardless of the S9 mix. In case of TD, did not appear special tendency such as increase or decrease in revertant colonies up to maximum concentration. Lastly, RD showed similar tendency with CC over 400 μg/plate concentrations in absence of metabolic activation. In metabolic activation, RD did not show increasing fold changes up to 600 μg/plate concentration, the fold change was decreased at over 800 μg/plate concentrations.

The initial concentrations which increase revertant colony numbers by DEP and UFPs and maximum concentrations which show the highest revertant colony numbers by DEP and UFPs were calculated through this test. Therefore, the proper concentrations were selected, the optimal concentrations were the following: DEP (0~10 μg/plate), RSC (0~600 μg/plate), PSC (0~100 μg/plate), CC (0~200 μg/plate), TD (0~1,000 μg/plate), and RD (0~300 μg/plate).

Mutagenicity of UFPs

The mutagenicity of particulate matters was determined via an Ames incorporation assay (20). The positive control materials were 4NQO, SA (without S9 mix), and 2-AA (with S9 mix), and four strains, were used to estimate mutagenicity (Table 2, 3). Results without metabolic activation are shown in Table 2, result of metabolic activation in the mutant colony (mean ± SD) are shown in Table 3. Mutagenicity was calculated as a relative numerical value, with the particulate matters-exposed colony numbers divided by that of the negative control. Among the particulate matters, DEP increased colony numbers in a concentration-dependent manner up to 10 μg/plate, regardless of whether the S9 mix was present. The maximum number of revertant colony was 29.6 times more than the number of spontaneous revertants in strain TA98 without the S9 mix. Even it was shown higher the number of colony than positive control. And also DEP increased colony numbers at TA98 strain more than TA100 strain with or without S9 mix. This result was similar with the results of Shin et al (21). RSC was shown to the increase of revertant colony up to the maximum concentration, without regard for metabolic activation, except in strain TA1535 without S9 mix. The highest fold change was 18.9 times that observed in TA98 strain without the S9 mix. Except for TA1535 strain, RSC showed higher relative numerical values without S9 mix than with S9 mix at all strains. Particularly, at TA100 strain, RSC appeared higher increased colony numbers than DEP from 200 μg/plate concentration. In case of PSC, without S9 mix, there was a dose dependent increase response up to 100 μg/plate in strains TA100 and TA98. In the presence of the S9 mix, activity was similar to that without the S9 mix in strains TA98, TA100, also TA1535, and TA1537 showed the mutated colony number at each of maximum concentrations. The highest fold change was 3.1 times that observed in TA98 with the S9 mix. CC did not show a dose response in any strain until the maximum concentration was applied. In the case of TD, a linear concentration-response in the reverse mutation colony numbers was observed up to 1,000 μg/plate with the S9 mix in strains TA1535 and TA1537. But the highest fold change was 5.0 times that observed in TA1537 which showed mutation colony numbers at 1,000 μg/plate without the S9 mix. In the case of RD, similar to CC, there were no changes in colony numbers.

Table 2.

Mutagenic response of Salmonella tester strains following exposure to ultra-fine particles in absence of metabolic activation

Ultra-fine particleb Dose (μg/plate) Tester strain (mean revertants/plate [Factor]a)

TA100 TA1535 TA98 TA1537
DEP 0 124 ± 22 6 ± 2 26 ± 6 6 ± 2
1 177 ± 11 [1.4] 14 ± 2 [2.2] 141 ± 22** [5.4] 22 ± 6* [3.5]
10 594 ± 10** [4.8] 24 ± 5* [3.8] 771 ± 92** [29.6] 131 ± 7** [20.7]

RSC 0 124 ± 22 6 ± 2 26 ± 6 6 ± 2
200 764 ± 19** [6.4] 10 ± 2 [1.6] 216 ± 14** [8.3] 22 ± 5* [3.5]
600 1500 ± 32** [12.0] 9 ± 2 [1.4] 491 ± 38** [18.9] 53 ± 10** [8.4]

PSC 0 124 ± 22 6 ± 2 26 ± 6 6 ± 2
50 253 ± 14* [2.0] 8 ± 2 [1.3] 58 ± 8* [2.2] 13 ± 3 [2.0]
100 315 ± 18** [2.5] 10 ± 2 [1.6] 74 ± 6** [2.9] 13 ± 2 [2.0]

CC 0 124 ± 22 6 ± 2 26 ± 6 6 ± 2
100 130 ± 14 [1.0] 8 ± 1 [1.7] 32 ± 11 [1.2] 7 ± 1 [1.0]
200 136 ± 1 [1.1] 9 ± 3 [1.2] 26 ± 5 [1.0] 9 ± 1 [1.4]

TD 0 124 ± 22 6 ± 2 26 ± 6 6 ± 2
500 158 ± 8 [1.3] 11 ± 1 [1.8] 27 ± 3 [1.0] 16 ± 6 [2.5]
1000 149 ± 15 [1.2] 12 ± 4 [2.0] 26 ± 2 [1.0] 32 ± 11* [5.0]

RD 0 124 ± 22 6 ± 2 26 ± 6 6 ± 2
150 122 ± 19 [1.0] 9 ± 1 [1.4] 30 ± 9 [1.2] 10 ± 7 [1.5]
300 125 ± 21 [1.0] 8 ± 6 [1.3] 22 ± 2 [0.8] 9 ± 2 [1.4]

Positive controls (SA: Sodiumazide, 4NQO: 4-Nitroquinoline-1-oxide)
TA 100 SA (1.0) 1411 ± 53** [11.3]
TA 1535 SA (1.0) 560 ± 40** [88.5]
TA 98 4NQO (1.0) 547 ± 73** [22.5]
TA 1537 SA (1.0) 352 ± 31** [55.6]
TA 102 4NQO (1.0) 689 ± 154* [2.7]
a

No. of revertants of treated plate/No. of revertants of negative control plate.

b

Refer to Table 1 values are means ± standard deviations.

*

Significantly different from negative control plate group (p<0.01).

**

Significantly different from negative control plate group (p < 0.001).

Table 3.

Mutagenic response of Salmonella tester strains following exposure to ultra-fine particles in metabolic activation

Ultra-fine particle b Dose (μg/plate) Tester strain (mean revertants/plate [Factor]a)

TA100 TA1535 TA98 TA1537
DEP 0 161 ± 12 6 ± 1 35 ± 6 13 ± 4
1 166 ± 15 [1.0] 14 ± 1* [2.2] 84 ± 8* [2.4] 28 ± 7 [2.2]
10 427 ± 27** [2.6] 22 ± 4* [3.7] 474 ± 25** [13.4] 105 ± 8** [8.1]

RSC 0 161 ± 12 6 ± 1 35 ± 6 13 ± 4
200 392 ± 17** [2.4] 12 ± 4 [1.9] 280 ± 36** [7.9] 50 ± 5** [3.8]
600 723 ± 23** [4.5] 16 ± 7* [2.7] 408 ± 34** [11.5] 65 ± 0** [5.0]

PSC 0 161 ± 12 6 ± 1 35 ± 6 13 ± 4
50 153 ± 17 [0.9] 13 ± 4 [2.2] 67 ± 15 [1.9] 30 ± 6 [2.3]
100 236 ± 22* [1.5] 15 ± 0* [2.5] 111 ± 3* [3.1] 38 ± 13 [2.9]

CC 0 161 ± 12 6 ± 1 35 ± 6 13 ± 4
100 121 ± 26 [0.8] 10 ± 2 [1.2] 37 ± 6 [1.0] 20 ± 5 [1.5]
200 112 ± 1 [0.7] 8 ± 2 [1.4] 41 ± 9 [1.2] 21 ± 6 [1.6]

TD 0 161 ± 12 6 ± 1 35 ± 6 13 ± 4
500 136 ± 33 [0.8] 20 ± 5* [3.3] 48 ± 4 [1.4] 29 ± 5* [2.2]
1000 143 ± 2 [0.9] 24 ± 2** [4.0] 48 ± 7 [1.4] 35 ± 4* [2.7]

RD 0 161 ± 12 6 ± 1 35 ± 6 13 ± 4
150 136 ± 9 [0.8] 8 ± 1 [1.4] 46 ± 3 [1.3] 18 ± 4 [1.4]
300 124 ± 11 [0.8] 10 ± 2 [1.7] 46 ± 8 [1.3] 21 ± 11 [1.6]

Positive controls (2-AA: 2-Aminoanthracene)
TA 100 2AA (4.0) 2092 ± 84** [13.0]
TA 1535 2AA (4.0) 185 ± 23** [30.8]
TA 98 2AA (2.0) 1658 ± 188** [36.0]
TA 1537 2AA (4.0) 228 ± 21** [17.5]
TA 102 2AA (4.0) 1795 ± 111* [4.7]
a

No. of revertants of treated plate/No.of revertants of negative control plate.

b

Refer to Table 1 values are means ± standard deviations.

*

Significantly different from negative control plate group (p<0.01).

**

Significantly different from negative control plate group (p < 0.001).

And we compared with induction of mutations in each strain, in the case of TA98, DEP showed higher mutation activity than RSC and PSC, regardless of whether the S9 mix was applied or not. In the case of TA100 strain, RSC showed the highest fold change in UFPs, regardless of the S9 mix. In strain TA1535, only DEP showed a concentration-dependent response in the absence of the S9 mix, but in the presence of the S9 mix, we found that RSC, PSC, and TD showed an increase in reverse mutation activity. The fold change in TD, particularly, was higher than that of DEP. Lastly, in the case of strain TA1537, results were similar tendency to those with TA98, which also has a frameshift mutation.

Relative mutagenicity of UFPs with a comparison of specific activity

Specific activity was measured as revertant colony numbers based on total particulate matters (TPM) content mg (revertants/mg), which was calculated from a slope on the initial concentration range (TPM/plate) that showed concentration dependence curve. Relative genotoxicity was based on DEP, which specific activity showed the highest activity, it expressed as the relative toxicity with other particulate matters as a percentage (Table 4). Therefore, we could compare with levels of activity of each particulate matters, as well as metabolism, using specific activity and relative genotoxicity. DEP in the absence of the S9 mix showed higher specific activity than that of DEP in the presence of the S9 mix at all strains, and also appeared highest specific activities among UFPs.

Table 4.

Specific activity (revertants of mg) of Salmonella tester strains following exposure to ultra-fine particles and relative genotoxicity compare with DEP

Samplea Specific activity +S9 (Revertants/mg) Relative mutagenicity (% of DEP) Specific activity −S9 (Revertants/mg) Relative mutagenicity (% of DEP)
TA100
 DEP 28965 ± 472 100 46958 ± 5 100
 RSC 1280 ± 1 4.42 1718 ± 34 0.04
 PSC 1135 ± 60 3.92 1584 ± 30 0.03
 CC Non toxicity up to 200 μg/plate Non toxicity up to 200 μg/plate
 TD Non toxicity up to 1,000 μg/plate Non toxicity up to 1,000 μg/plate
 RD Non toxicity up to 300 μg/plate Non toxicity up to 300 μg/plate

TA1535
 DEP 1291 ± 213 100 1528 ± 145 100
 RSC 28 ± 2 2.17 20 ± 0 1.31
 PSC 102 ± 2 7.9 Non toxicity up to 100 μg/plate
 CC Non toxicity up to 200 μg/plate Non toxicity up to 200 μg/plate
 TD 26 ± 0 2.0 13 ± 2 0.85
 RD Non toxicity up to 300 μg/plate Non toxicity up to 300 μg/plate

TA98
 DEP 43789 ± 4 100 73251 ± 190 100
 RSC 1442 ± 1 3.29 618 ± 2 0.84
 PSC 997 ± 15 2.28 473 ± 6 0.65
 CC Non toxicity up to 200 μg/plate Non toxicity up to 200 μg/plate
 TD Non toxicity up to 1,000 μg/plate Non toxicity up to 1,000 μg/plate
 RD Non toxicity up to 300 μg/plate Non toxicity up to 300 μg/plate

TA1537
 DEP 8840 ± 48 100 12368 ± 9 100
 RSC 196 ± 5 2.23 77 ± 4 0.62
 PSC 189 ± 4 2.99 70 ± 1 0.57
 CC Non toxicity up to 200 μg/plate Non toxicity up to 200 μg/plate
 TD 46 ± 4 0.52 30 ± 1 0.24
 RD Non toxicity up to 300 μg/plate Non toxicity up to 300 μg/plate
a

Refer to Table 1.

In case of TA100 as base-pair substitution mutation strain, only biomass combustion (RSC, PSC) showed specific activity, both of samples appeared higher activities at −S9 mix than +S9 mix condition. But when compare for relative mutagenicity with DEP, the biomass UFPs had higher relative mutagenicity in the presence of the S9 mix. In case of TA1535 as base-pair substitution mutation strain, Biomass UFPs had higher activity and relative variability under +S9 mix condition. Especially, TD showed mutagenicity at TA 1535 regardless of whether the S9 mix. In case of TA 98 as frameshift mutation strain, biomass UFPs with S9 mix had higher specific activity and relative mutagenicity than without S9 mix. Lastly, in case of TA1537 as frameshift mutation strains, it appeared similar tendencies with TA1535 strain. However, in case of CC and RD did not show any specific activity and relative mutagenicity at all strain.

DISSCUSION

In this study, we carried out a reverse mutation test to determine genotoxic differences between DEP and five UFPs, which were obtained from fine particles. Normally, complex mixtures of the above samples are identified as polycyclic organic matter (POM). POM is largely divided into PAHs, substituted aromatic hydrocarbons (SAHs), and heterocyclic aromatic compounds (HCAs). The induced POM from these complex mixtures have shown mutagenicity and carcinogenicity (22). The Ames test would better predict carcinogenesis than various other in vitro short-term genotoxicity assays, and it can be performed as quickly and easily as other genotoxicity tests (23). Meanwhile, some test materials only show mutagenicity after metabolism in the human body. In this test, most materials show mutagenicity with or without metabolic activity, whereas some show mutation activity only under certain conditions. Microorganisms lack the specific metabolism of mammals. Therefore, to determine mutagenicity with metabolism, we added a metabolically active enzyme extracted from livers. Therefore, the reverse mutation test using microorganisms was conducted with or without metabolic activation.

In this study, DEP showed the highest specific activity among various tested particulate matters. DEP is that the particles in diesel exhaust are composed of center core of elemental carbon and absorbed organic and inorganic compounds, it contains PMs of various sizes (24). The DEP generated from automobile diesel engine was tested in this test for relative comparisons, not used standard reference material (SRM) of DEPs, such as SRM 2975. Because, the many mutagenicity studies of SRM 2975 have been studied and it was generated from forklift diesel engine, but there was little study of mutagenicity to DEP from generated from automobile diesel engine (2527). Moreover, its DEP is a common occurrence around us, a continuous increment of diesel-engine cars has increased the accumulation of DEP in atmosphere of urban arears (26,28). So, we selected DEP generated from automobile diesel engine. The maximum number of revertant colony was 29.6 times more than the number of spontaneous revertants in strain TA98 without the S9 mix. DeMarini et al. confirmed that the mutagenicity of DEP caused by nitroarenes and aromatic amines by using TA98, TA98NR, and TA98/1,8-DNP6 strains, the DEP was same type condition with our DEP (29). In strains TA100 and TA1535, both with base-pair substitution mutations, an increased number of revertant colonies were also observed. In fact, PAHs, specifically B[α]P, induce base substitution mutations are commonly detected in lung cancers induced by PAHs (28). Therefore, these results were thought that the PAHs, nitroarenes and aromatic amines affected mainly the mutations. Table 1, supports this fact that the PAH/OC percentage was high among samples. DEP showed the highest activity level of all the particulate matters. This means that even a low concentration of DEP may be more mutagenic activity than higher doses of other UFPs. In addition, when we consider that there was a higher level of mutation activity in the absence of the S9 mix than in its presence, DEP itself showed stronger mutation ability than that with metabolic activation.

RSC induced increased revertant colonies in all strains, with and without the S9 mix, except for TA1535 strain with the S9 mix. And in Table 4, RSC generally appeared specific activity and relative mutagenicity followed by DEP. RSC is a biomass, and ordinary biomass is a complex mixture of particles, semi-volatile materials, and gas. The primary biomass compounds largely comprise inorganic compounds (e.g., ammonia and nitric oxide), hydrocarbons (e.g., PAHs and aromatic amines), other organic compound (e.g., carboxylic acids and methylated phenolic compounds), and metals (28). Rice is cultivated ecumenically and is the most popular crop in Asia (29). A common practice in many parts of the world today, emission from field burning of rice residue has potential effects on air quality, atmosphere and climate. Biomass burning spreads the most compounds into the atmosphere, including carcinogenic/mutagenic compounds, e.g., PAHs. Actually, the comparison test was performed by PAHs amounts between burning season of rice and non-burning season. The PAHs contents was absolutely higher burning season than non-burning season, when the rice straw was burned in hood of laboratory, the significant components were measured with including OC, ions, levoglucosan, HCAs and PAHs (30,31). Also the RSC had very various particle sizes matters with containing PAHs (32). Nevertheless, the mutagenicity of UFP in RSC has not been studied yet. When compared with the results shown in Table 1, we speculate that mutations were caused by two main factors: first, organic compounds in RSC, and second, a single particular compound that showed higher amounts of PAHs than PSC (e.g., B[α]P and Benzo[α]anthracene). Actually the detailed compounds in PHAs was not written, RSC had contents of two compounds which be known as mutagenicity more than PSC. Therefore, the result of RSC seems that RSC mainly induced mutations at a hotspot site consisting and a base-pair substitution by HCAs, B[α]P of PAHs or organic carbons. PSC is called as biomass combustion like RSC, PSC is also burned for purposes like rice and have a lot of influence on the atmosphere (33). At the previous studies, the correlation was reported between PSC and PAHs, and the mutagenicity of wood or wood pellet combustions were studied (34,35). But the mutagenicity test is not progressed yet with UFP of PSC. The results of PSC testing overall showed lower levels of specific activity than those of RSC. The reason for this difference may be that the organic carbon level was relatively lower specific act in PSC than RSC, as shown in Table 1. However, in contrast with DEP, PSC showed mostly higher fold changes with the S9 mix than without the S9 mix, signifying that the metabolomes of PAHs and HCAs protein pyrolysate were strongly mutagenic.

In the case of CC, no increase in colony numbers was observed, relative to that of the control. This contrasts with a previous reports showing that complex mixtures produced from coal tar generate virulent compounds (e.g., PAHs) that are carcinogenesis and mutagenicity (36). When compare with previous studies, the differences were observed with combustion and collection conditions, followed by contents of PAHs (37). As shown in Table 1, CC has less organic compound and PAH contents than the other UFPs. The cause of these low contents and toxicity is considered that PAHs decompose in the high combustion temperature (1,100°C) during collection process, or mutagens were segregated and decomposed by regenerating process to obtain PM2.5. A previous report showed that the composition of compounds in coal changed according to combustion temperature and pressure (37). Therefore, we need to consider modifications of experimental methods, such as altering the combustion temperature and filter collection technique. Lastly, general dust is a term that refers to small particles of ambient materials in sedimentary environments (38). Among various types of dust, RD is a complex mixture consisting of organic compounds that include PAHs and potentially toxic contents, e.g., vehicle motor exhaust particles, tire particles, leaked particles of oil and lubricant from vehicles, and eroded road surfaces and cigarette ash. TD is concentrated particles related to vehicles (3941). However, we only observed minimal mutation activity when testing TD with diameters less than 2.5 μM in TA1535 and TA1537 strains, which showed increased revertant colonies with the S9 mix, and without the S9 mix, TA1535 appeared reverse activity with the S9 mix. Strains TA1535 and TA1537 have frameshift and base-pair substitution mutations, and these strains do not have the pKM101 plasmid. This is considered as optional mutation appearance by metabolome of compounds in TD that was induced selectively in strains TA1535 and TA1537 which do not have pKM101 as plasmid. This is thought as the under 2.5 μM diameter small particles generated by vehicle in tunnel area affected on the results.

In this study, we compared mutagenicity, with or without metabolic activation, using several kinds of UFPs. In various air pollutant particulate matters, PAHs and organic compounds such as aromatic amines and HCAs are primary factors in mutagenicity. Among the collected particulate matters, DEP showed the highest level of mutagenic activity, even at low concentrations. Additional toxicity assessments, including considerations of the compound composition, cell toxicity, and oxidative stress, are needed to identify ways to reduce the mutagenicity of particulate matters and inform people the dangerousness and seriousness of UFPs.

ACKNOWLEDGMENTS

We would like to appreciate completion of this manuscript to Dr Han Jae Shin (KT&G Research Institute) and thank Prof Ki Hong Park (Gwangju Institute of Science and Technology) to helped collection and analysis of samples. The author received the financial support of the Social Problem Solving Technology Developmemt Project (2014M3C8A5030612) for research.

Abbreviation

DEP

Diesel exhaust particles

RSC

Combustion of rice straw

PSC

Combustion of pine stem

CC

Coal combustion

TD

Tunnel dust

RD

Road side dust

UFPs

Ultra-fine particles

PAHs

Polycyclic aromatic hydrocarbons

COPD

Chronic obstructive pulmonary disease

CVD

Cardiovascular disease

PMs

Particle matters

DMSO

Dimethyl sulfoxide

2-AA

2-Aminoanthracen

4NQO

4-Nitroquinoline-oxide

SA

Sodium azide

NIES

National institute for environmental studies

GIST

Gwangju institution science and technology

OC

Organic carbon

EC

Elemental carbon

IC

Ion chromatography

ICP-MS

Inductively coupled plasma-mass spectrometer

KIT

Korea institute of toxicology

TPM

Total particulate matter

SD

Standard deviations

POM

Polycyclic organic matter

SAHs

Substituted aromatic hydrocarbons

HCAs

Heterocyclic aromatic compounds

SRM

Standard reference material.

REFERENCES

  • 1.Weidemann E, Andersson PL, Bidleman T, Boman C, Carlin DJ, Collina E, Cormier SA, Gouveia-Figueira SC, Gullett BK, Johansson C, Lucas D, Lundin L, Lundstedt S, Marklund S, Nording ML, Ortuno N, Sallam AA, Schmidt FM, Jansson S. 14th congress of combustion by-products and their health effectsorigin, fate, and health effects of combustion-related air pollutants in the coming era of bio-based energy sources. Environ Sci Pollut Res Int. 2016;23:8141–8159. doi: 10.1007/s11356-016-6308-y. [DOI] [PubMed] [Google Scholar]
  • 2.Brunekreef B, Holgate ST. Air pollution and health. Lancet. 2002;360:1233–1242. doi: 10.1016/S0140-6736(02)11274-8. [DOI] [PubMed] [Google Scholar]
  • 3.Kim KH, Kabir E, Kabir S. A review on the human health impact of airborne particulate matter. Environ Int. 2015;74:136–143. doi: 10.1016/j.envint.2014.10.005. [DOI] [PubMed] [Google Scholar]
  • 4.Samet JM, Dominici F, Curriero FC, Coursac I, Zeger SL. Fine particulate air pollution and mortality in 20 U.S. cities, 1987–1994. N Engl J Med. 2000;343:1742–1749. doi: 10.1056/NEJM200012143432401. [DOI] [PubMed] [Google Scholar]
  • 5.Yang W, Omaye ST. Air pollutants, oxidative stress and human health. Mutat Res. 2009;674:45–54. doi: 10.1016/j.mrgentox.2008.10.005. [DOI] [PubMed] [Google Scholar]
  • 6.Fang T, Verma V, Guo H, King L, Edgerton E, Weber RJ. A semi-automated system for quantifying the oxidative potential of ambient particles in aqueous extracts using the dithiothreitol (DTT) assay: results from the Southeastern Center for Air Pollution and Epidemiology (SCAPE) Atmos Meas Tech. 2014;8:471–482. doi: 10.5194/amt-8-471-2015. [DOI] [Google Scholar]
  • 7.Valavanidis A, Vlachogianni T, Fiotakis K, Loridas S. Pulmonary oxidative stress, inflammation and cancer: respirable particulate matter, fibrous dusts and ozone as major causes of lung carcinogenesis through reactive oxygen species mechanisms. Int J Environ Res Public Health. 2013;10:3886–3907. doi: 10.3390/ijerph10093886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pope CA, 3rd, Burnett RT, Thun MJ, Calle EE, Krewski D, Ito K, Thurston GD. Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution. Jama. 2002;287:1132–1141. doi: 10.1001/jama.287.9.1132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Cao J, Xu H, Xu Q, Chen B, Kan H. Fine particulate matter constituents and cardiopulmonary mortality in a heavily polluted Chinese city. Environ Health Perspect. 2012;120:373–378. doi: 10.1289/ehp.1103671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Reid JS, Koppmann R, Eck TF, Eleuterio DP. A review of biomass burning emissions, part II: intensive physical properties of biomass burning particles. Atmos Chem Phys. 2005;5:799–825. doi: 10.5194/acp-5-799-2005. [DOI] [Google Scholar]
  • 11.Ema M, Naya M, Horimoto M, Kato H. Developmental toxicity of diesel exhaust: a review of studies in experimental animals. Reprod Toxicol. 2013;42:1–17. doi: 10.1016/j.reprotox.2013.06.074. [DOI] [PubMed] [Google Scholar]
  • 12.Shen G. Mutagenicity of particle emissions from solid fuel cookstoves: a literature review and research perspective. Environ Res. 2017;156:761–769. doi: 10.1016/j.envres.2017.05.001. [DOI] [PubMed] [Google Scholar]
  • 13.Matzenbacher CA, Garcia ALH, dos Santos MS, Nicolau CC, Premoli S, Corrêa DS, de Souza CT, Niekraszewicz L, Dias JF, Delgado TV, Kalkreuth W, Grivicich I, da Silva J. DNA damage induced by coal dust, fly and bottom ash from coal combustion evaluated using the micronucleus test and comet assay in vitro. J Hazard Mater. 2017;324:781–788. doi: 10.1016/j.jhazmat.2016.11.062. [DOI] [PubMed] [Google Scholar]
  • 14.Melki PN, Ledoux F, Aouad S, Billet S, El Khoury B, Landkocz Y, Abdel-Massih RM, Courcot D. Physicochemical characteristics, mutagenicity and genotoxicity of airborne particles under industrial and rural influences in Northern Lebanon. Environ Sci Pollut Res Int. 2017;24:18782–18797. doi: 10.1007/s11356-017-9389-3. [DOI] [PubMed] [Google Scholar]
  • 15.Singh P, DeMarini DM, Dick CA, Tabor DG, Ryan JV, Linak WP, Kobayashi T, Gilmour MI. Sample characterization of automobile and forklift diesel exhaust particles and comparative pulmonary toxicity in mice. Environ Health Perspect. 2004;112:820–825. doi: 10.1289/ehp.6579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Wu D, Zhang F, Lou W, Li D, Chen J. Chemical characterization and toxicity assessment of fine particulate matters emitted from the combustion of petrol and diesel fuels. Sci Total Environ. 2017;605–606:172–179. doi: 10.1016/j.scitotenv.2017.06.058. [DOI] [PubMed] [Google Scholar]
  • 17.Maron DM, Ames BN. Revised methods for the Salmonella mutagenicity test. Mutat Res. 1983;113:173–215. doi: 10.1016/0165-1161(83)90010-9. [DOI] [PubMed] [Google Scholar]
  • 18.Claxton LD, Umbuzeiro Gde A, DeMarini DM. The Salmonella mutagenicity assay: the stethoscope of genetic toxicology for the 21st century. Environ Health Perspect. 2010;118:1515–1522. doi: 10.1289/ehp.1002336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.McDonald JD, Barr EB, White RK, Chow JC, Schauer JJ, Zielinska B, Grosjean E. Generation and characterization of four dilutions of diesel engine exhaust for a subchronic inhalation study. Environ Sci Technol. 2004;38:2513–2522. doi: 10.1021/es035024v. [DOI] [PubMed] [Google Scholar]
  • 20.DeMarini DM. Genotoxicity of tobacco smoke and tobacco smoke condensate: a review. Mutat Res. 2004;567:447–474. doi: 10.1016/j.mrrev.2004.02.001. [DOI] [PubMed] [Google Scholar]
  • 21.Shin H-J, Cho HG, Park CK, Park KH, Lim HB. Comparative in vitro biological toxicity of four kinds of air pollution particles. Toxicol Res. 2017;33:305–313. doi: 10.5487/TR.2017.33.4.305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lewtas J. Complex mixtures of air pollutants: characterizing the cancer risk of polycyclic organic matter. Environ Health Perspect. 1993;100:211–218. doi: 10.1289/ehp.93100211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Snyder RD, Green JW. A review of the genotoxicity of marketed pharmaceuticals. Mutat Res. 2001;488:151–169. doi: 10.1016/S1383-5742(01)00055-2. [DOI] [PubMed] [Google Scholar]
  • 24.Claxton LD, Creason J, Leroux B, Agurell E, Bagley S, Bryant DW, Courtois YA, Douglas G, Clare CB, Goto S, Quillardet P, Jagannath DR, Kataoka K, Mohn G, Nielsen PA, Ong T, Pederson TC, Shimizu H, Nylund L, Tokiwa H, Vink GJ, Wang Y, Warshawsky D. Results of the IPCS collaborative study on complex mixtures. Mutat Res. 1992;276:23–32. doi: 10.1016/0165-1110(92)90053-C. [DOI] [PubMed] [Google Scholar]
  • 25.Hughes TJ, Lewtas J, Claxton LD. Development of a standard reference material for diesel mutagenicity in the Salmonella plate incorporation assay. Mutat Res. 1997;391:243–258. doi: 10.1016/S1383-5718(97)00075-2. [DOI] [PubMed] [Google Scholar]
  • 26.McClellan RO, Brooks AL, Cuddihy RG, Jones RK, Mauderly JL, Wolff RK. Inhalation toxicology of diesel exhaust particles. Dev Toxicol Environ Sci. 1982;10:99–120. [PubMed] [Google Scholar]
  • 27.Krause G, Garganta F, Vrieling H, Scherer G. Spontaneous and chemically induced point mutations in HPRT cDNA of the metabolically competent human lymphoblastoid cell line, MCL-5. Mutat Res. 1999;431:417–428. doi: 10.1016/S0027-5107(99)00183-9. [DOI] [PubMed] [Google Scholar]
  • 28.Lim WY, Seow A. Biomass fuels and lung cancer. Respirology. 2012;17:20–31. doi: 10.1111/j.1440-1843.2011.02088.x. [DOI] [PubMed] [Google Scholar]
  • 29.Kadam KL, Forrest LH, Jacobson WA. Rice straw as a lignocellulosic resource: collection, processing, transportation, and environmental aspects. Biomass Bio-energy. 2000;18:369–389. doi: 10.1016/S0961-9534(00)00005-2. [DOI] [Google Scholar]
  • 30.Andreae MO, Merlet P. Emission of trace gases and aerosols from biomass burning. Global Biogeochem Cycles. 2001;15:955–966. doi: 10.1029/2000GB001382. [DOI] [Google Scholar]
  • 31.Oanh NT, Bich TL, Tipayarom D, Manadhar BR, Prapat P, Simpson CD, Liu LJ. Characterization of particulate matter emission from open burning office straw. Atmos Environ. 2011;45:493–502. doi: 10.1016/j.atmosenv.2010.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Yang H-H, Tsai C-H, Chao M-R, Su Y-L, Chien S-M. Source identification and size distribution of atmospheric polycyclic aromatic hydrocarbons during rice straw burning period. Atmos Environ. 2006;40:1266–1274. doi: 10.1016/j.atmosenv.2005.10.032. [DOI] [Google Scholar]
  • 33.Pope CA. Review: epidemiological basis for particulate air pollution health standards. Aerosol Sci Technol. 2000;32:4–14. doi: 10.1080/027868200303885. [DOI] [Google Scholar]
  • 34.Cohn CA, Lemieux CL, Long AS, Kystol J, Vogel U, White PA, Madsen AM. Physical-chemical and microbiological characterization, and mutagenic activity of airborne PM sampled in a biomass-fueled electrical production facility. Environ Mol Mutagen. 2011;52:319–330. doi: 10.1002/em.20628. [DOI] [PubMed] [Google Scholar]
  • 35.Chakraborty R, Mukherjee A. Mutagenicity and genotoxicity of coal fly ash water leachate. Ecotoxicol Environ Saf. 2009;72:838–842. doi: 10.1016/j.ecoenv.2008.09.023. [DOI] [PubMed] [Google Scholar]
  • 36.Liu G, Niu Z, Van Niekerk D, Xue J, Zheng L. Polycyclic aromatic hydrocarbons (PAHs) from coal combustion: emissions, analysis, and toxicology. Rev Environ Contam Toxicol. 2008;192:1–28. doi: 10.1007/978-0-387-71724-1_1. [DOI] [PubMed] [Google Scholar]
  • 37.Cai HY, Güell AJ, Chatzakis IN, Lim JY, Dugwell DR, Kandiyoti R. Combustion reactivity and morphological change in coal chars: Effect of pyrolysis temperature, heating rate and pressure. Fuel. 1996;75:15–24. doi: 10.1016/0016-2361(94)00192-8. [DOI] [Google Scholar]
  • 38.Lorenzi D, Entwistle JA, Cave M, Dean JR. Determination of polycyclic aromatic hydrocarbons in urban street dust: Implications for human health. Chemosphere. 2011;83:970–977. doi: 10.1016/j.chemosphere.2011.02.020. [DOI] [PubMed] [Google Scholar]
  • 39.Dong TT, Lee BK. Characteristics, toxicity, and source apportionment of polycylic aromatic hydrocarbons (PAHs) in road dust of Ulsan, Korea. Chemosphere. 2009;74:1245–1253. doi: 10.1016/j.chemosphere.2008.11.035. [DOI] [PubMed] [Google Scholar]
  • 40.Mostafa AR, Hegazi AH, El-Gayar MS, Andersson JT. Source characterization and the environmental impact of urban street dusts from Egypt based on hydrocarbon distributions. Fuel. 2009;88:95–104. doi: 10.1016/j.fuel.2008.08.006. [DOI] [Google Scholar]
  • 41.Zhang W, Zhang S, Wan C, Yue D, Ye Y, Wang X. Source diagnostics of polycyclic aromatic hydrocarbons in urban road runoff, dust, rain and canopy throughfall. Environ Pollut. 2008;153:594–601. doi: 10.1016/j.envpol.2007.09.004. [DOI] [PubMed] [Google Scholar]

Articles from Toxicological Research are provided here courtesy of Korean Society of Toxicology

RESOURCES