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Characterization of Natural and Affected Environments
Size-resolved endotoxin and oxidative potential of ambient particles in Beijing and Zürich Yang Yue, Haoxuan Chen, Ari Setyan, Miriam Elser, Maria Dietrich, Jing Li, Ting Zhang, Xiangyu Zhang, Yunhao Zheng, Jing Wang, and Maosheng Yao Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b01167 • Publication Date (Web): 22 May 2018 Downloaded from http://pubs.acs.org on May 22, 2018
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Environmental Science & Technology
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Size-resolved endotoxin and oxidative potential of ambient
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particles in Beijing and Zürich
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Yang Yue1,2,3,#, Haoxuan Chen1,#, Ari Setyan2,3, Miriam Elser2,3, Maria Dietrich2, Jing Li1, Ting Zhang1, Xiangyu Zhang1, Yunhao Zheng1, Jing Wang2,3,*, Maosheng Yao1,* 1
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of
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Environmental Sciences and Engineering, Peking University, Beijing 100871, China
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Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
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Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials
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Science and Technology, Dübendorf 8600, Switzerland
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Revision to
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Environmental Science and Technology
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*
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Maosheng Yao, email:
[email protected];
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State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of
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Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Corresponding Authors
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Jing Wang, email:
[email protected] 23
Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
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Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials
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Science and Technology, Dübendorf 8600, Switzerland
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#
Y.Y. and H.C. contributed equally to this work
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Beijing, China
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Zürich, Switzerland
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May 19, 2018
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Abstract
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PM2.5 pollution has become a global health concern, however its size-resolved health impact
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remains to be poorly elucidated. Here, ambient particulate matter (PM) were collected into thirteen
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different size ranges (10 nm-18 μm) and the mass, metal, endotoxin distributions and related
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oxidative potential were investigated in two regions (Zürich, Switzerland and Beijing, China). Results
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showed that the two regions had remarkably different PM distribution patterns. Swiss urban samples
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had a mode around 40 nm with 23.3% of total PM mass, while Chinese samples featured two modes
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around 0.75 and 4.23 μm with 13.8 -18.6% and 13.7-20.4% of total PM mass, respectively. Two peaks
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for endotoxin at 40-100 nm and 1-4 μm were observed in different regions. For PM-borne metals,
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Chinese samples had 67.6-100% of total Cd, As and Pb in the size range of 0.1–1 μm, and Swiss
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samples had similar distributions of Cd and Pb but much lower total metals than Chinese samples.
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The PM oxidative potential varied greatly with sizes for different regions. Accordingly, the current
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practice, i.e., sole use of the mass concentration, could lead to inadequate health protection for one
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region, but unnecessary economic costs for another without achieving extra health benefits.
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Keywords: Particulate matter, Size distribution, Endotoxin, Heavy metal, Oxidative potential
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1 Background:
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Among the air pollutants, ambient particulate matter (PM) is widely studied due to its high risk
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for respiratory and cardiovascular systems1, 2. Ambient PM contains organic compounds, metals,
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materials of biological origin, etc. For the PM mediated health effects, the main mechanism in the
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literature is described to be the oxidative stress, which is responsible for redox status changes3, 4, and
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subsequent reactions associated with inflammation and apoptosis5-8. Generally, PM10 are classified as
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inhalable particles, while PM2.5, the fine inhalable particles, can go deep into respiratory bronchioles.
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Furthermore, the PM1, especially those particles smaller than 200 – 300 nm, can penetrate deep into
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alveoli and lung epithelial cells, even translocate into blood circulation5,
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geographical locations, the size distributions of ambient particles down to the nanoscale along with
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their compositions such as endotoxin and transition metals remain to be poorly elucidated. Their
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differences, if any, can lead to different levels of size-resolved PM toxicity in different regions.
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. For different
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However, air quality is currently being assessed using PM mass concentration standard
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regardless of locations11-14. Simple comparisons between PM concentration levels, while neglecting
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its composition and size information, might lead to inadequate health protection for one region, but
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unnecessary economic costs for another without achieving extra health benefits. Among many other
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PM components, endotoxin is considered as one of the main causes of respiratory diseases inducing
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sensitization, allergic asthma and other immune responses15-18. The endotoxin, also called
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lipopolysaccharides, consists of a lipid and a polysaccharide composed of O-antigen, outer core and
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inner core joined by a covalent bond. The endotoxin monomers are heterogeneous and tend to form
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aggregates of varying sizes with apparent hydrodynamic radius of dozens of nanometers and a
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molecular mass of 1000-7000 kDa19. In the innate immune system, endotoxin can strongly bind to
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the CD14/TLR4/MD2 protein receptor complex located mainly at the surface of monocytes, dendritic
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cells and macrophages, and trigger the secretion of pro-inflammatory cytokines and proteins that
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eventually cause inflammation20, 21. A study on farmers showed that endotoxin exposure was related
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to bronchial hyper-responsiveness, accelerated lung function decline, chronic obstructive pulmonary
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disease, asthma-like symptoms and chronic bronchitis16. Recently, Zhong et al. found that exposures
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to endotoxin significantly increased human systolic and diastolic blood pressure, and concluded that
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biological PM components contribute significantly to PM-related cardiovascular symptoms22.
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Accordingly, different size-resolved endotoxin levels could affect the PM toxicity. However, such
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information for endotoxin as an important biological material of PM is significantly lacking or has not
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received adequate attention. This situation has hampered a better understanding of the health
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impacts by PM.
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In this work, we collected ambient PM samples into thirteen different size ranges (10 nm - 18
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μm) in different environmental settings both from Beijing, China and Zürich, Switzerland using the
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NanoMOUDI (Micro-Orifice Uniform-Deposit Impactor, Model 122-NR, MSP Corporation, Shoreview,
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MN, USA). The contents of PM samples including endotoxin and metals in different size ranges were
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studied. In addition, the oxidative potential per unit of PM mass for different size ranges was also
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analyzed using dithiothreitol (DTT) method. The rate of consumption of DTT is considered as a
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quantitative method for the assessment of the oxidative potential of PM, which has been linked to
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the toxic effects of PM8, 23-25. The composition of PM2.5 such as quinones, copper and manganese
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were shown to contribute around 92% reactivity; whereas, metals, e.g. lead and nickel, have less
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than 1% contribution of DTT consumption23. The results from our study can shed new light on size-
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resolved endotoxin and toxicity of PMs from various locations when assessing their health effects
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with different levels of air quality. Our results could serve as a reference to re-examine the current
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practices of assessing air quality in different geographical locations.
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2 Materials and methods:
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2.1 Sample preparation
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Our work mainly aimed to study the differences of size-resolved PM oxidative potential and its
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biological fraction, i.e., endotoxin (which is a strong inflammation agent) of PM from different
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locations with very different air pollution levels. To do so, we have chosen two cities, Beijing, China
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and Zürich, Switzerland as examples for bad and good air quality levels, respectively. Four sampling
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locations were selected in Switzerland and China as shown in Figure S1 (Supporting Information). The
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sampling site of Swiss Federal Laboratories for Materials Science and Technology (Empa) was close to
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the NABEL (National Air Pollution Monitoring Network) station at Empa, Zürich, which was
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representative of a Swiss suburban campus. The sampling site of Oberneunforn is a farm in the 4
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village Oberneunforn near Winterthur, Switzerland. The samples were collected in a barn with about
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50 cows, which had an open roof in the middle and was supplied with fresh straws twice per day.
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This site represents a farm environment in the rural region and a high concentration of endotoxin is
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expected. In China, two sampling sites, Peking University campus and Zhongguancun North Str. close
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to Beijing 4th Ring in Beijing were selected to represent the Beijing urban campus and urban main
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street, respectively. To effectively identify each sampling site with indication of their environmental
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settings, they were named as CH-suburban campus (samples from Empa, Federal Laboratories for
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Materials Science and Technology, Switzerland), CH-farm (samples from Oberneunforn, Switzerland),
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CN-urban campus (samples from Peking University, Beijing, China) and CN-urban main street
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(samples from Zhongguancun North Str., Beijing, China). A NanoMOUDI was used to sample both
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Swiss and Chinese air samples. The NanoMOUDI has thirteen stages with nominal cut points of
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18000, 10000, 5600, 3200, 1800, 1000, 560, 320, 180, 100, 56, 32, 18 and 10 nm when operated at
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an inlet flow rate of 30 L/min. During all sampling periods, the air inlet flow was 28.0-28.5 L/min,
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which was within the allowed range of NanoMOUDI26.
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All aerosol samples were collected onto clean aluminum foils. A total of one hundred and thirty
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aluminum foil samples and twenty blanks were collected during June 2017 - September 2017 (SI,
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Table S1). The Swiss farm samples were collected in January of 2017. During all sampling periods,
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there was no rainfall or strong wind. All the samples were stored at -20 °C until analysis. The
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meteorological data, from Swiss NABEL and Beijing Municipal Environmental Monitoring Center, for
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each sampling site during the sampling periods were recorded for further analysis (SI, Table S1). The
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extraction from filter samples followed the procedures reported in previous studies25, 27, 28. Each filter
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sample was first cut into 12 equal pieces, and 5 pieces of them were deposited into 2 mL of pyrogen-
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free water (Associates of Cape Cod, Inc., USA) with 0.05% Tween-20, in pyrogen-free centrifuge tubes,
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and then subjected to vortex mixing for 120 min at 1200 rpm. In this procedure, water soluble
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components, including endotoxin and soluble metals, as well as some parts of insoluble particles can
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be extracted from the samples. During the process, all filter pieces were submerged in the elution
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fluid. Each eluate was centrifuged for 10 min at 3500 rpm, to remove insoluble particles and filter
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fragments that may interfere with the following analyses. The supernatants were then transferred to
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pyrogen-free tubes for further tests. Blank aluminum foils were brought to site without sampling and
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used as negative controls.
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2.2 Sample analysis
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Endotoxin test: For the endotoxin, all samples were analyzed using Limulus amebocyte lysate
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(LAL) (Associates of Cape Cod Inc., East Falmouth, MA) according to the manufacturer’s instructions.
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Endotoxin concentrations were reported as units (EU) referring to standard endotoxin, LPS from E.
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coli. Briefly, equal volume of samples or standard solution and LAL reagent were incubated at 37 °C
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and reacted to a gel-clot product, which had specific absorption at 405 nm. The absorption of 405
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nm was recorded every 30 seconds for 60 min during the measurement. The detection limit for
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endotoxin was 0.005 EU/mL. As the LAL method is very sensitive to endotoxin, all consumables were
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pyrogen-free in the test. Spike control, positive control, negative control and blank samples were also
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included to control the quality of the endotoxin test.
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Metal analysis: Three hundred microliter extract of each sample in pyrogen-free water with
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0.05% Tween-20 was diluted to 3 mL by pyrogen-free water. 0.1 mL 65% HNO3 (Titrisol, Merck,
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Germany) was added to 3 mL of each sample to prepare acid solution for metal analysis. Target
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metals concentrations were measured by inductively coupled plasma mass spectrometry (ICP-MS,
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Thermo X series, Winsford, UK). A mixture standard solution of different elements was used in the
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measurement (10 μg/mL, Agilent, USA). Rh and Re were used as the internal standards to control the
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quality of measurements.
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Oxidant generation test: The oxidant generation capacity of each sample was measured with
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the dithiothreitol (DTT) method. One hundred microliter extract of each sample in pyrogen-free
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water with 0.05% Tween-20 was incubated with 0.5 mM DTT solution in K2HPO4-KH2PO4 buffer at pH
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7.4 and 37 °C for 30 min. The 5,5-dithio-bis-(2-nitrobenzoic acid) (DTNB, 1mM) was used to titrate
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the remaining DTT in the reaction mixture. The reaction product had specific absorbance at 412 nm.
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As a standard oxidant, 1,4-naphthoquinone (1,4-NQ) can react with DTT and was used to calculate
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the normalized index of oxidant generation (NIOG)25, 29, 30. The NIOG calculation is shown below
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based on the index of oxidation generation (IOG) of 1,4-NQ:
= ,
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,
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=
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∗ 100/(& ∗ ').
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Here, T is the reaction time (min), M is the sample mass (μg), Absblank is the absorption of reaction
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with pyrogen-free water with 0.05% Tween-20, Abssample is the absorption of the product after the
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catalytic redox reaction.
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PM characterization: The ambient PM samples were characterized by scanning electron
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microscopy (SEM, Phenom ProX, Eindhoven, The Netherlands). PM samples on aluminum foils from
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each stage of the NanoMOUDI were mounted on aluminum stubs and were analyzed in secondary
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electron detector (SED) mode in 10 kV or 15 kV. All images were acquired at 5 000-times or 10 000-
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times magnification.
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2.3 Statistical analysis
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All data were analyzed by GraphPad Prism version 6.01 for Windows (GraphPad Software Inc.,
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San Diego, CA, USA). All samples were analyzed in triplicates. All the data were first tested for the
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normality using D'Agostino & Pearson omnibus normality test. The size-resolved distribution of PM,
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endotoxin and NIOG for different sampling sites were analyzed by two-way ANOVA and Tukey's
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multiple comparisons test. Both PM size and sampling site factors were tested based on
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homogeneous variance. Graphs were prepared with GraphPad Prism. For all sample analysis,
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negative controls were used to prevent false positives. Values with p-value