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Research Article

Comparison of the oxidative potential of primary (POA) and secondary (SOA) organic aerosols derived from α-pinene and gasoline engine exhaust precursors

[version 1; peer review: 2 approved]
PUBLISHED 09 Jul 2018
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS

Abstract

Background: Primary (POA) and secondary (SOA) organic aerosols, deriving from both anthropogenic and biogenic sources, represent a major fraction of ambient particulate matter (PM) and play an important role in the etiology of respiratory and cardiovascular diseases, largely through systemic inflammation and cellular oxidative stress. The relative contributions of these species to the inhalation burden, however, are rather poorly characterized. In this study, we measured the in vitro oxidative stress response of alveolar macrophages exposed to primary and secondary PM derived from both anthropogenic and biogenic sources.
Methods: POA and SOA were generated within an oxidation flow reactor (OFR) fed by pure, aerosolized α-pinene or gasoline engine exhaust, as representative emissions of biogenic and anthropogenic sources, respectively. The OFR utilized an ultraviolet (UV) lamp to achieve an equivalent atmospheric aging process of several days.
Results: Anthropogenic SOA produced the greatest oxidative response (1900 ± 255 µg-Zymosan/mg-PM), followed by biogenic (α-pinene) SOA (1321 ± 542 µg-Zymosan/mg-PM), while anthropogenic POA produced the smallest response (51.4 ± 64.3 µg-Zymosan/mg-PM).
Conclusions: These findings emphasize the importance of monitoring and controlling anthropogenic emissions in the urban atmosphere, while also taking into consideration spatial and seasonal differences in SOA composition. Local concentrations of biogenic and anthropogenic species contributing to the oxidative potential of ambient PM may vary widely, depending on the given region and time of year, due to factors such as surrounding vegetation, proximity to urban areas, and hours of daylight.

Keywords

Particulate Matter, SOA, Biogenic PM, Anthropogenic PM, Photochemical Aging

Introduction

A large fraction of ambient particulate matter (PM) in the urban atmosphere consists of a mixture of primary organic aerosols (POA), derived from anthropogenic and biogenic PM sources, as well as secondary organic aerosols (SOA) produced during the photo-oxidation of both types of POA (Baltensperger et al., 2005; Després et al., 2012). Urban PM can consist of up to 90% SOA, the majority originating from primary biogenic aerosols, including the monoterpene α-pinene, one of the largest components of primary biogenic PM worldwide (Hallquist et al., 2009; Seinfeld & Pankow, 2003).

Several human health problems linked to ambient PM, including asthma, cardiovascular disease, and heart failure (Delfino et al., 2005; Dominici et al., 2006; Kim et al., 2013; Shah et al., 2013), are mediated largely by the cellular inflammatory response, including reactive oxygen species (ROS) formation (Li et al., 2003; Ray et al., 2012). Research investigating PM health effects has mostly focused on primary emissions, while studies of secondary PM effects are not as common. Some studies, however, report that both anthropogenic (Decesari et al., 2017; Saffari et al., 2015; Verma et al., 2014; Verma et al., 2015a; Verma et al., 2015b) and biogenic (Baltensperger et al., 2008; Gaschen et al., 2010; Rohr, 2013) SOA elicit greater adverse health effects than POA precursors.

In this study, we investigate the effects of photochemical oxidation on the oxidative potential of biogenic and anthropogenic PM. Samples of each PM type were collected before and after photochemical aging within a laboratory reaction chamber equipped with an ultraviolet lamp. The in vitro alveolar macrophage (AM) assay was used to quantify PM oxidative potential (Landreman et al., 2008; Li et al., 2008; Shafer et al., 2010).

Methods

Sampling methods

Photochemical oxidation of primary emissions occurred within a 64-liter stainless steel oxidation flow reactor (OFR) equipped with a single UV lamp (BHK Analamp, Model No. 82-9304-03) emitting radiation at 185 and 254 nm. Upstream of the PM sources, inlet air first passed through an activated carbon denuder and high-efficiency particulate air (HEPA) filter to remove all particles. Within the OFR, a warm, humid environment (22°C/60% RH) was maintained, allowing H2O to act as a source of hydroxyl radicals in the UV-catalyzed oxidation reactions, which resulted in SOA formation.

The biogenic sampling setup is depicted in Figure 1. Particle-free inlet air was introduced at a flow rate of 25 lpm. 0.5 lpm of this incoming air stream was diverted into a 250 ml Büchner flask containing a 15-ml glass vial of pure, reagent grade α-pinene. Three small holes in the vial cap allowed for diffusion of α-pinene vapors into the flask. The remaining 24.5 lpm flow of particle-free air proceeded through a humidifier (heated flask containing distilled water) and into the reactor, where it mixed with the α-pinene vapors, resulting in a dilution ratio of 50:1.

c8f4b130-e8d6-4bf7-b8fb-acdf8396eeb9_figure1.gif

Figure 1. Biogenic (α-pinene) particulate matter (PM) sampling setup.

The anthropogenic sampling setup is depicted in Figure 2. Exhaust from a four-stroke single cylinder gasoline generator (Honda SHX1000, 49cc displacement, 8.0:1 compression ratio, operating at 3000 RPM) was drawn through a rotating disk dilutor (RDD; Testo Engineering, MD19-3E) operating at a dilution ratio of 50:1. 5 lpm of the diluted engine exhaust was diverted into the reaction chamber, where it mixed with 20 lpm of humidified, particle-fee air, resulting in a total dilution ratio of 250:1.

c8f4b130-e8d6-4bf7-b8fb-acdf8396eeb9_figure2.gif

Figure 2. Anthropogenic (gasoline engine exhaust) particulate matter (PM) sampling setup.

Particles were collected downstream of the reaction chamber on Teflon and quartz filters. In the POA condition, PM was collected as the α-pinene or engine emissions passed through a dark OFR. In the SOA condition, the aerosol stream was sampled while a UV lamp was on, following a 90-minute reaction period.

Filter conditioning

Prior to sampling, quartz filters were baked in a furnace oven at 500°C for 5 hours. Teflon filters were conditioned for 24 hours in a controlled environment (23°C and 46% relative humidity) before weighing. Teflon filters were weighed before and after sampling to determine the mass collected with an MT5 Microbalance (Mettler-Toledo Inc., Columbus, OH, USA). Mass collected on quartz filters was calculated based on the aerosol concentration (from Teflon filters) and sampling flow rate. After sampling, all filters were placed in petri dishes lined with baked aluminum foil, sealed with Teflon tape, and stored in a refrigerated environment until analysis.

Laboratory analyses

Quartz filters were analyzed for elemental carbon (EC) and organic carbon (OC) content by the National Institute for Occupational Safety and Health (NIOSH) Thermal Optical Transmission (TOT) Method 5040, using a flame ionization detector (FID) to quantify evolved carbon as CH4 (Birch & Cary, 1996; Peterson & Richards, 2002).

The alveolar macrophage (AM) in vitro assay was used to determine the oxidative potential of the Teflon filter PM samples. Alveolar macrophages obtained from the American Type Culture Collection (cell line NR8383, RRID: CVCL_4396) were maintained in Ham’s F12 medium (#11765-047, ThermoFisher, Waltham, MA, USA) supplemented with 2mM L-glutamine (GlutaMAX; #31765-035, ThermoFisher, Waltham, MA, USA), 1.176 g/L sodium bicarbonate, and 15% heat inactivated fetal bovine serum (FBS; #45000-734, VWR, Radnor, PA, USA). Cells were cultured in flasks and kept in an incubator at 37°C/5% CO2. Non-adherent cells were transferred to new flasks weekly. A floating cell concentration of approximately 4 × 105 cells/mL media was maintained. The macrophage cells were exposed to each type of PM sample for 2.5 hours, using 2,7-dichlorodihydrofluorescein diacetate (DCFH-DA) as a fluorescent probe to quantify the cellular formation of oxidative species. The non-fluorescent DCFH-DA acts by entering the cell, where it is de-acetylated by cellular enzymes to yield 2,7-dichlorodihydrofluorescein (DCFH), also non-fluorescent. DCFH is then oxidized by reactive species, generated during the cellular oxidative stress response to PM exposure, to form the highly fluorescent and detectable 2,7-dichlorofluorescein (DCF), which was quantified spectrophotometrically with a CytoFlour II automated fluorescence plate reader (PerSeptive Biosystems, Framingham, MA, USA) (Landreman et al., 2008; Shafer et al., 2010).

Results

EC/OC results are presented in Figure 3. EC was most abundant in engine POA (0.081 μg-EC/μg-PM), with no significant amount present in either engine or α-pinene SOA. Mass fractions of OC were higher than EC in all conditions (engine POA: 0.62 μg-OC/μg-PM, engine SOA: 0.54 μg-OC/μg-PM, α-pinene SOA: 0.54 μg-OC/μg-PM). Figure 4 presents oxidative potential results on a mass-fraction basis, standardized to Zymosan units (μg-Zymosan units/mg-PM). Mass fraction results reveal how the intrinsic PM toxicity as indexed by oxidative potential changes over time due to photochemical aging. The measured oxidative potential for engine POA was 51.4 (± 64.3) µg-Zymosan/mg-PM, and for engine SOA it was 1900 (± 255) µg-Zymosan/mg-PM, while for α-pinene SOA, the result was 1321 (± 542) µg-Zymosan/mg-PM (pure α-pinene was not assayed).

c8f4b130-e8d6-4bf7-b8fb-acdf8396eeb9_figure3.gif

Figure 3. Mass fractions of elemental carbon (EC) and organic carbon (OC) in engine primary organic aerosol (POA) and engine & α-pinene secondary organic aerosols (SOA).

Error bars represent laboratory uncertainty values based on contributions of analytical error (standard deviation) and blank subtraction (standard deviation of at least three method blanks).

c8f4b130-e8d6-4bf7-b8fb-acdf8396eeb9_figure4.gif

Figure 4. Mass-fraction based oxidative potential: Engine primary organic aerosol (POA) and engine & α-pinene secondary organic aerosols (SOA).

Error bars represent laboratory uncertainty values based on contributions of analytical error (standard deviation) and blank subtraction (standard deviation of at least three method blanks).

Elemental Carbon - Organic Carbon (EC/OC) Final Report
Project:Beirut POA/SOA
COC Date:4/26/2017Received Date:5/10/2017Analysis Date:6/7/2017Report Date:6/15/2017
Sample Type:47 mm Quartz FilterExposed Sample Area: 10.18 cm2Area Used for EC/OC Analysis: 0.50 cm2
Submitter Sample DescriptionSubmitter Filter IDOrganic Carbon (OC) µg/filterElemental Carbon (EC) µg/filterTotal Carbon (TC) µg/filterPyrolytic Carbon (PC) µg/filter
ValueUncertaintyValueUncertaintyValueUncertaintyValue
Engine Exhaust SOA17041815-Q382219224.116.53846194296
Engine Exhaust SOA17041817-Q582029245.528.15865295507
Engine Exhaust SOA17041820-Q480324146.122.44850245392
Engine Exhaust SOA170706A-Q2431.8122.66.37.272438.1123.8129.41
Engine Exhaust SOA170707A-Q3320.8167010.283320.8168195.91
Engine Exhaust SOA170624A-Q4007.4201.327.0126.444034.4203.6492.14
Engine Exhaust POA170926-Q449.123.5357.732.28506.8327.49-22.86
α-pinene SOA171024-Q239.5414.3700.98239.5415.567.57
α-pinene SOA171025-Q259.6615.3701.13259.6616.5710.67
BLANK5.771.0900.425.771.90.41
Notes:
Results reported per FULL filter
µg/filter results have not been blank subtracted
0 indicates a non-detect, NA indicates the result is not available
Dataset 1.Figure 3 EC-OC Raw Data.
Macrophage ROS Assay
USC_Beirut POA/SOA Study
Substrate Type:Teflon 47 mm filters
Use These Values
UT/ZYM Slope =0.1278Blank Has NOT Been AppliedAll data sensitivity normalized to UT prior to ZYM calibration
Fluorescence Units (FU)Fluorescence Units (FU)Fluorescence Units / Filterµg Zymosan Units / Filterµg PM per filter µg Zymosan Units / mg PM
Sample ROS UT ROSROS Response Corrected For BlankROS Response Corrected For Dilution & Filter FractionROS Response Corrected For Dilution & Filter FractionROS Response Corrected For Dilution & Filter Fraction
ROS Run DateSubmitter Sample IDROS Dilution SeriesWSLH Sample IDPlate NumberROS ProtocolExtract TreatmentFilter Fraction AnalyzedUT-CorrectedRawROS Volume (mL)Extraction Volume (mL)Dilution Factor
of ROS RunValue (FU)StdevValue (FU)StdevValueStdevValueStdevValueStdevValueStdevSample
a-Pinene SOA2-Jun-1717041809-T0.0635, 0.127, 0.254, 0.508a-Pinene SOA-091488/530/515Not Filtered0.511691031,00320.11.51116910335,070309044743812.1550.45317041809-Ta-Pinene SOA
a-Pinene SOA13-Jun-1717041811-T0.03175, 0.0635, 0.127, 0.254, 0.508a-Pinene SOA-111488/530/515Not Filtered0.52686159628120.11.51268615980,580477016401161143.31434101.717041811-Ta-Pinene SOA
a-Pinene SOA13-Jun-1717041812-T0.03175, 0.0635, 0.127, 0.254, 0.508a-Pinene SOA-121488/530/515Not Filtered0.512683270470.11.5112683238,04096069132614.4112552.217041812-Ta-Pinene SOA
Eng SOA13-Jun-1717041815-T0.0079375, 0.015875, 0.03175, 0.0635, 0.127, 0.254Engine Exhaust SOA-151488/530/515Not Filtered0.256304269677110.11.516304269378,2401614071474133283.72177125.817041815-TEng SOA
Eng SOA2-Jun-1717041817-T0.03175, 0.0635, 0.127, 0.254Engine Exhaust SOA-172488/530/515Not Filtered0.25822459590380.11.51224595130,645552818491064467.3413.923.817041817-TEng SOA
Eng SOA2-Jun-1717041820-T0.03175, 0.0635, 0.127, 0.254Engine Exhaust SOA-202488/530/515Not Filtered0.252047117809250.11.512047117122,820702019421343637.8533.836.917041820-TEng SOA
Eng POA13-Jun-17Eng POA Composite:0.127, 0.254, 0.508, 1.000Eng POA Composite:1488/530/515Not Filtered0.581061110.11.518102403005697.751.464.3Eng POA Composite:Eng POA
170418-022-T -023-T -024-T 170418-022-T -023-T -024-T 170418-022-T -023-T -024-T
Eng SOA28-Jul-17170706a-T0.015875, 0.03175, 0.0635, 0.127Eng SOA2488/530/515Not Filtered0.56609329696190.1216609329264,3721316846972752.33172014118170706a-TEng SOA
Eng SOA28-Jul-17170707a-T0.0079375, 0.015875, 0.03175, 0.0635Eng SOA2488/530/515Not Filtered0.57348125465980.12173481254293,9165017055159573.4841583275170707a-TEng SOA
Eng SOA28-Jul-17170624a-T0.015875, 0.03175, 0.0635, 0.127Eng SOA2488/530/515Not Filtered0.554461292655160.12154461292217,8425169841129842.24961828437170624a-TEng SOA
a-Pinene SOA28-Jul-17170625-T0.015875, 0.03175, 0.0635, 0.127a-Pinene SOA2488/530/515Not Filtered13218178661280.121321817864,36835611205760.8243146293170625-Ta-Pinene SOA
a-Pinene SOA21-Jul-17170627-T0.0635, 0.127, 0.254, 0.508a-Pinene SOA3488/530/515Not Filtered11078418068220.12110784180215,670359239121371.9232203471170627-Ta-Pinene SOA
Blank Summary
2-Jun-17Method Blank0.508, 1.001488/530/515Not Filtered141141,020120.11.5
21-Jul-177-21-17 Method Blank0.508, 1.001488/530/515Not Filtered134870370.12
28-Jul-177-21-17 Method Blank11488/530/515Not Filtered15732718300.12
Quality Assurance - Quality Control Sample Outcome SummaryMETHOD BLANK SUMMARY
Blank4114
ZYMOSAN POSITIVE CONTROLZymosan Positive Control
Row A & 2nd RowValueSt DevSlopeSt DevRSD
2-Jun-1712/13/16 "B" 100% Zym - 0.1mg/mlPlate 151291355129013500.026
2-Jun-1712/13/16 "B" 100% Zym - 0.1mg/mlPlate 1526037526003700.007
2-Jun-1712/13/16 "B" 100% Zym - 0.1mg/mlPlate 247531104753011000.023
2-Jun-1712/13/16 "B" 100% Zym - 0.1mg/mlPlate 248142954814029500.061
13-Jun-1712/13/16 "B" 100% Zym - 0.1mg/mlPlate 140633664063036600.09
13-Jun-1712/13/16 "B" 100% Zym - 0.1mg/mlPlate 1359194359109400.026
460264714.10.039MEAN
MEANSTDEVRSD%0.031STDEV
SUPPLEMENTAL SRMUrban Dust
Urban DustValueSt DevRSD
2-Jun-1712/12/16 Urban Dust Plate 18397660.008
2-Jun-1712/12/16 Urban Dust Plate 271661540.021
13-Jun-1712/12/16 Urban Dust Plate 112605440.003
9389285230.4
MEANSTDEVRSD%
SUPPLEMENTAL SRMZ088D6
Z088D6ValueSt DevRSD
2-Jun-1712/12/16 Z088D6 Plate 163382200.035
2-Jun-1712/12/16 Z088D6 Plate 260421030.017
13-Jun-1712/12/16 Z088D6 Plate 16277870.014
62191562.5
MEANSTDEVRSD%
SUPPLEMENTAL SRMPyocyanin
Pyocyanin (7/12/16)ValueSt DevRSD
2-Jun-17 0.625 µg/mLPlate 114751020.069
2-Jun-17 0.625 µg/mLPlate 21588270.017
13-Jun-17 0.625 µg/mLPlate 11046320.031
137028620.9
MEANSTDEVRSD%
Quality Assurance - Quality Control Sample Outcome SummaryMETHOD BLANK SUMMARY
Blank29.938.3
ZYMOSAN POSITIVE CONTROLZymosan Positive Control
Row A & 2nd RowValueSt DevSlopeSt DevRSD
21-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 1414116414101610.004
21-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 1441028440982770.006
21-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 239961173996411750.029
21-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 240551064054710630.026
21-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 339611453961414480.037
21-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 3374494374439360.025
28-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 139632383963023820.06
28-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 140521444052014390.036
28-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 238142843814328430.075
28-Jul-174/14/17 "A" 100% Zym - 0.1mg/mlPlate 2387239387203850.01
40011864.70.031MEAN
MEANSTDEVRSD%0.023STDEV
SUPPLEMENTAL SRMUrban Dust
Urban DustValueSt DevRSD
21-Jul-1712/12/16 Urban Dust Plate 197931390.014
21-Jul-1712/12/16 Urban Dust Plate 28701470.005
21-Jul-1712/12/16 Urban Dust Plate 375671640.022
28-Jul-1712/12/16 Urban Dust Plate 196679730.101
28-Jul-1712/12/16 Urban Dust Plate 29278550.006
900190810.1
MEANSTDEVRSD%
SUPPLEMENTAL SRMZ088D6
Z088D6ValueSt DevRSD
21-Jul-1712/12/16 Z088D6 Plate 162631870.03
21-Jul-1712/12/16 Z088D6 Plate 256261670.03
21-Jul-1712/12/16 Z088D6 Plate 35546850.015
28-Jul-1712/12/16 Z088D6 Plate 163431620.026
28-Jul-1712/12/16 Z088D6 Plate 266241900.029
60804727.8
MEANSTDEVRSD%
SUPPLEMENTAL SRMPyocyanin
Pyocyanin ValueSt DevRSD
21-Jul-177/12/16 0.625 µg/mLPlate 11457460.031
21-Jul-177/12/16 0.625 µg/mLPlate 21398210.015
21-Jul-177/12/16 0.625 µg/mLPlate 31395130.009
28-Jul-177/12/16 0.625 µg/mLPlate 11062660.063
28-Jul-177/12/16 0.625 µg/mLPlate 21039530.051
127020215.9
Dataset 2.Figure 4 ROS Raw Data.

Summary and conclusions

The findings of the current reaction chamber study indicate that both anthropogenic and biogenic SOA induce greater cellular oxidative stress than primary engine exhaust. This effect was found to be largest in response to engine exhaust SOA, thus implicating anthropogenic as the major contributor to adverse human health effects in urban environments, though the contribution of biogenic SOA can be quite significant in some geographical areas. Atmospheric aging of PM increases its intrinsic oxidative potential many fold, and thus photochemistry in a region that experiences abundant sunshine, long days, and/or stagnation of circulating air due to an inversion layer or some other reason, may increase the toxicity of PM over time.

Data availability

The following raw data sets are provided as comma separated values (.csv) files:

Dataset 1: Figure 3 EC-OC Raw Data 10.5256/f1000research.15445.d209280 (Lovett et al., 2018a)

Dataset 2: Figure 4 ROS Raw Data 10.5256/f1000research.15445.d209281 (Lovett et al., 2018b)

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Lovett C, Baasiri M, Atwi K et al. Comparison of the oxidative potential of primary (POA) and secondary (SOA) organic aerosols derived from α-pinene and gasoline engine exhaust precursors [version 1; peer review: 2 approved] F1000Research 2018, 7:1031 (https://doi.org/10.12688/f1000research.15445.1)
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Open Peer Review

Current Reviewer Status: ?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 1
VERSION 1
PUBLISHED 09 Jul 2018
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Reviewer Report 25 Feb 2019
Zhi Ning, Division of Environment and Sustainability, Hong Kong University of Science & Technology, Hong Kong, China 
Approved
VIEWS 21
General Comments:

The authors have investigated the oxidative potential of POA and SOA from two different sources namely alpha-pinene and gasoline engine exhaust. The experimental setup included an UV chamber (oxidation flow reactor), to mimic the sun ... Continue reading
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CITE
HOW TO CITE THIS REPORT
Ning Z. Reviewer Report For: Comparison of the oxidative potential of primary (POA) and secondary (SOA) organic aerosols derived from α-pinene and gasoline engine exhaust precursors [version 1; peer review: 2 approved]. F1000Research 2018, 7:1031 (https://doi.org/10.5256/f1000research.16832.r43635)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 05 Mar 2019
    Christopher Lovett, Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, 90089, USA
    05 Mar 2019
    Author Response
    Authors’ responses to specific comments of Dr. Zhi Ning:

    Comment 1: Page 3: Right column: Line 4: The authors can address why they have selected only Hydroxyl radicals in the investigations. ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 05 Mar 2019
    Christopher Lovett, Department of Civil and Environmental Engineering, University of Southern California, Los Angeles, 90089, USA
    05 Mar 2019
    Author Response
    Authors’ responses to specific comments of Dr. Zhi Ning:

    Comment 1: Page 3: Right column: Line 4: The authors can address why they have selected only Hydroxyl radicals in the investigations. ... Continue reading
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12
Cite
Reviewer Report 06 Nov 2018
Barend L. van Drooge, Institute for Environmental Assessment and Water Research (IDÆA-CSIC), Barcelona, Spain 
Approved
VIEWS 12
The work of Lovett et al. presents interesting data on the possible inflammatory effects of SOA from traffic as well as biogenic (pinene) origin. The method setup is well designed, although the variables, such as conditions of relative humidity and ... Continue reading
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van Drooge BL. Reviewer Report For: Comparison of the oxidative potential of primary (POA) and secondary (SOA) organic aerosols derived from α-pinene and gasoline engine exhaust precursors [version 1; peer review: 2 approved]. F1000Research 2018, 7:1031 (https://doi.org/10.5256/f1000research.16832.r39486)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

Comments on this article Comments (0)

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Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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