Abstract
This study measures polycyclic aromatic hydrocarbon (PAH) compositions in particulate matter emissions from residential cookstoves. A variety of fuel and cookstove combinations are investigated, including: (i) liquid petroleum gas (LPG), (ii) kerosene in a wick stove, (iii) wood (10 and 30% moisture content on a wet basis) in a forced-draft fan stove, and (iv) wood in a natural-draft rocket cookstove. The wood burning in the natural-draft stove had the highest PAH emissions followed by the wood combustion in the forced-draft stove and kerosene burning. LPG combustion has the highest thermal efficiency (∼57%) and the lowest PAH emissions per unit fuel energy, resulting in the lowest PAH emissions per useful energy delivered (in the unit of megajoule delivered, MJd). Compared with the wood combustion emissions, LPG burning also emits a lower fraction of higher molecular weight PAHs. In rural regions where LPG and kerosene are unavailable or unaffordable, the forced-draft fan stove is expected to be an alternative because its benzo[a]pyrene (B[a]P) emission factor (5.17–8.24 μg B[a]P/MJd) and emission rate (0.522–0.583 μg B[a]P/min) are similar to those of kerosene burning (5.36 μg B[a]P/MJd and 0.452 μg B[a]P/min). Relatively large PAH emission variability for LPG suggests a need for additional future tests to identify the major factors influencing these combustion emissions. These future tests should also account for different LPG fuel formulations and stove burner types.

Introduction
Approximately 2.8 billion people globally rely on domestic burning of solid fuels for daily cooking and heating. Estimates show that exposure to household air pollution caused ∼4.3 million premature deaths in 2012,(1) and particulate matter (PM) from residential sources is responsible for 16–30% of the premature deaths due to ambient air pollution.(2, 3) There are also serious concerns over the climate impacts of cookstove emissions.(4, 5) The opportunities for improving public health and reducing environmental impacts through cleaner cookstoves are recognized globally.(6, 7)
Residential combustion of solid fuels is a major source of organic aerosols (OA). Polycyclic aromatic hydrocarbons (PAHs) in the OA are of specific toxicological interest due to their mutagenicity and carcinogenicity.(8, 9) Estimated global emissions of the 16 U.S. Environmental Protection Agency (EPA) priority PAHs (∑PAH16) reached ∼504 Gg in 2007, of which ∼60% was ascribed to residential solid fuel combustion.(10) The contribution is much higher in many developing countries such as China, India, and Indonesia. Even in certain industrialized countries, residential wood combustion is also a major source of PAH emissions. For example, in Chile, Finland, and the U.S., ∑PAH16 values from residential wood combustion are 72, 78, and 46% of the national emission totals, respectively.(10) PAHs can undergo long-range transport—for example, they are observed as persistent in the Arctic(11, 12)—and distribute across a variety of environmental media, including indoor and outdoor air, water, food, etc., causing widespread contamination. PAH exposure routes can vary. In addition to inhalation, exposure routes also include ingestion and dermal contact. Estimates show that residential biomass and fossil fuel combustion sources contribute approximately 54% to the total incremental lifetime cancer risk (ILCR) induced by PAHs following inhalation exposure; the global average ILCR is estimated at 3.1 × 10–5.(13) Because PAHs produce serious environmental and public health concerns, their sources merit further attention.
In the interest of achieving air quality, climate, and public health benefits, there is potential in promoting cleaner burning residential cooking and heating stoves and fuels for reducing PAHs, PM, and other pollutant emissions. For example, past laboratory studies have shown that, compared with burning uncompressed biomass fuels, burning biomass pellets significantly reduces PAH emissions.(14) Estimates suggest that replacing uncompressed biomass fuels with pellets would result in a 90% reduction in PAH emissions from residential cookstoves in China.(14)Stove design and technology improvements—e.g., forced-draft and gasification—can also lower pollutant emissions.(15–17) It was estimated that, with improved combustion devices and fuels, a 34% reduction in global PAH emissions from the residential sector could be expected.(10)
Despite the importance of introducing cleaner cookstove and fuel platforms for protecting human health and the environment, studies detailing PAH emissions for these relatively efficient fuel and cookstove combinations are limited. Most studies in the literature have focused on emissions for solid fuels such as coal, wood, charcoal, and crop residues burned in traditional or natural-draft cookstoves(18–29) or simulated open biomass burning.(30–33) For example, LPG stoves are commonly discussed as effective alternatives;(34, 35) however, PAH emission measurements for LPG stoves are scant, leading to a gap in knowledge and uncertainty in understanding potential impacts when planning future intervention possibilities. Similar to many air pollutants, PAH emissions from residential combustion sources depend on a variety of factors such as fuel properties, stove type, and fire management practices.(15, 16, 36–39) The aim of the present study is to quantitatively measure individual PAH emissions from a variety of fuel and cookstove systems. A main objective is to observe and quantify how toxic PAH emissions compare when burning LPG, kerosene, and wood in advanced high-efficiency forced-draft and natural-draft cookstoves. Laboratory tests were conducted to optimize experimental control of some of the aforementioned variables and provide a simple initial assessment of cookstove performance while also evaluating energy efficiency and toxic PAH emissions.
Methods
Chemicals and Standards
PAH standards were prepared and certified as described in Hays et al.(40) Briefly, both internal and calibration standards (see Table S1) were prepared at the University of Wisconsin, Wisconsin State Laboratory of Hygiene. The internal standard contained: acenaphthene-d10, chrysene-d12, and dibenzo[a,h]anthracene-d14 dissolved in a benzene/isopropyl alcohol/hexane (63/32/5 v/v) solvent mixture. Accuracy of the PAH calibration standards was independently verified with a commercially available, certified reference PAH calibration mix dissolved in methylene chloride/benzene (1/1 v/v) (Sigma-Aldrich, St. Louis, MO). Primary standards (±1% analytical accuracy) of carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), and propane were used as calibration gases (Airgas Specialty Gas, Durham, NC).
Cookstove Test Facility (CTF)
Emissions testing was performed at the U.S. EPA CTF located in Research Triangle Park, NC. The facility is designed for testing cookstove thermal efficiency and pollutant emissions of a wide variety of fuels and stoves with or without chimneys. More detailed information about the CTF can be found elsewhere.(15, 39) Briefly, emissions were measured and collected from a stainless steel hood connected to a two-stage dilution tunnel system. Negative pressure (2–7 hPa below atmospheric pressure) was maintained throughout the entire system. An induced-draft blower provided filtered dilution air and hood air flows. Real-time measurements of CO, CO2, CH4, and total hydrocarbon (THC) gases were obtained at the primary dilution tunnel. For low-emission fuel–cookstove combinations (kerosene, LPG, and the forced-draft biomass stoves), filter-based PM sampling occurred at the primary dilution tunnel. For the higher emission natural-draft stove, PM sampling was conducted using the secondary dilution tunnel.
Fuels and Cookstoves
In the present study, the following fuel and stove combinations were tested: (i) LPG fuel (Peru Solgas/Repsol LPG stove), (ii) kerosene fuel in a wick stove (Butterfly Model 2668), (iii) red oak wood (Quercus rubra) fuel in a forced-draft fan-type cookstove (EcoChula-XXL), and (iv) the same wood fuel in a natural-draft rocket-type cookstove (JikoPoa). These two stoves were selected as examples of two different wood stove technologies: natural-draft and forced-draft. Oak is one of the commonly used wood fuels in rural settings. It is noted that there are many other stoves with similar burning techniques and other types of wood fuel that may have different emissions.(26, 41)Wood moisture is one very important factor affecting burning and pollutant emissions;(26, 42)thus, oak fuels with two distinct moisture levels (low, ∼10%; high, ∼30%) were used in tests. The preparation of wood fuels was described in Jetter et al.(15) Briefly, red oak was cut into the desired size (approximately 2 × 2 cm in cross section and 10 cm in length for the forced-draft fan stove and 35 cm in length for the natural-draft rocket stove) and then air-dried until it reached the desired moisture content. The LPG stove was tested using a blend of 60% w/w propane and 40% w/w butane. Grade 1-K kerosene was used in the kerosene-fueled stove. The six fuel–stove combinations were each tested in triplicate.
Water Boiling Test (WBT) Protocol
The WBT protocol (version 4.2.2) was adopted to test cookstove emissions and determine thermal efficiency.(43) The test protocol includes three phases: cold-start (CS) high-power phase, hot-start (HS) high-power phase, and a low-power simmer phase, in that order. The CS high-power phase begins with the pot and water at ambient temperature. Emissions are sampled from fuel ignition until the water boils. The HS immediately follows the CS with the cookstove hot and the pot and water again at ambient temperature. The low-power phase begins with the cookstove hot and the water temperature maintained at 3 °C below the boiling point for 30 min. Following the WBT protocol, cookstove power, energy efficiency, and fuel use are determined. Filter sampling and online measurements are conducted for each phase of the WBT protocol.
Online Measurements and Filter-Based Sampling
Gaseous CO, CO2, THC, and CH4 are measured continuously using infrared and flame ionization detector analyzers (models 200, 300-HFID and 300M-HFID, California Analytical; Orange, CA) and recorded every five seconds.(15) Gas analyzers are calibrated with zero and span checks before and after testing each day. Potential bias due to losses in the sample transfer line is monitored by injecting the calibration gases both at the point of sampling and at the inlet of the gas analyzers. Particles with aerodynamic diameter ≤2.5 μm (PM2.5) are sampled isokinetically on quartz-fiber (Qf) and polytetrafluoroethylene (PTFE, Tf) membrane filters positioned in parallel downstream of PM2.5 cyclones (University Research Glassware; Chapel Hill, NC). A second quartz filter (Qb) is placed downstream of the PTFE filter to estimate the positive artifact due to gas-phase adsorption of semivolatile organics. All quartz filters were analyzed for PAHs. Only filter-based PAHs are considered in the present study. Background concentrations of CO, CO2, CH4, and THC were measured with all real-time instruments for at least 10 min before and after each test and were subtracted from measured test concentrations to correct emissions results. PM2.5 mass was measured gravimetrically with a microbalance (MC5, Sartorius, Germany). Filters were stored in a freezer at <0 °C prior to PAH analysis.
PAH Analysis and Quality Control
Due to its sensitivity, thermal extraction gas-chromatography–mass spectrometry (TEx-GC–MS) was utilized to identify and quantify the individual PAHs in the sampled cookstove emissions (Gerstel TDSA2/TDS/Agilent 6890/5973 MS system). The TEx-GC–MS equipment and methodology were described extensively elsewhere.(44) Briefly, a 0.4 cm2 Qf punch (or three punches for artifact filters and low-emission samples from LPG) was carefully placed inside a prebaked (550 °C) glass tube and spiked (1 μL) with an internal standard mixture containing deuterated PAH compounds. Following automated tube insertion into the oven unit, the sample was heated to 325 °C at a rate of 50 °C/min and held for 11 min; 50 mL/min of He flowed over the sample. Desorbate was directed to a cryogenically cooled programmable temperature vaporization inlet (−85 °C) operating in splitless mode. The GC inlet was rapidly heated (720 °C/min) to 325 °C. The sample was chromatographed on an ultralow-bleed capillary column (DB-5, 30 m × 0.25 mm I.D. × 0.25 μm film thickness) with helium as the carrier gas (1 mL/min). The GC oven was temperature-programmed as follows: 65 °C for 10 min ramped to 325 °C at a rate of 10 °C/min and held for 15 min. Chromatographed compounds were detected using an Agilent 5973 MS detector operating in selected ion monitoring mode.
The internal standard method and a multilevel, linear (R2 > 0.9) calibration was used (0.1–1 ng) for PAH quantification. A midlevel calibration check was performed daily prior to sample analysis and was used as a continuing calibration in cases where measured and fixed concentrations were not within 20%. These daily checks were within 20% for most targets even when replicated over several months. TEx-GC–MS detection limits for the PAH targets are also provided in Table S1. PAHs below their detection limit were reported as “ND”. Midlevel check recoveries for PAHs were within 105 ± 33%, on average. The sum of all 25 PAHs is defined as ∑PAH25. Retention time shifts were negligible (<1%) throughout the analysis. Target analyte validation was achieved using the retention times and isotopic fragment ratios exceeding a 3/1 signal/noise ratio. Carryover tests were performed by reheating the TEx sample/apparatus immediately following the initial extraction and then examining the GC–MS chromatogram for the presence of target compounds,(45) which indicated an extraction efficiency of >98%. Naphthalene was the only PAH detected (0.16 ± 0.11 ng) above its method detection limit (0.02 ng) in the blank filters.
Data Analysis
Positive Adsorption Artifact and Correction
For the cookstove sources and sampling conditions used presently, a positive adsorption artifact (the adsorption of gas-phase organic matter on the Qf) has typically dominated the PM sampling error.(46, 47) Individual particle-phase PAH concentrations reported here are corrected for the artifact using the quartz filter behind the PTFE filter method, defined as Qf – Qb. This method has normally provided an upper limit estimate of adsorbed organics on Qf.(46, 48) Additionally, a parameter (Fa) defined as Qb/Qf is used to quantitatively estimate the fraction of positive adsorption artifact for each PAH.
Emission Factors and Efficiency
PAH emission factors are calculated using the TEx-GC–MS-measured concentrations in samples, dilution ratio, sampling flow volumes, and burned fuel mass. For quality control purposes, emissions factors are also calculated using the carbon mass balance method that is typically used for field-based emissions measurement studies.(31, 32, 36, 38, 49) PAH mass emission factors are presented per unit fuel mass (μg/kg), fuel energy (μg/MJ), useful energy delivered (μg/MJd), as an emission rate (μg/min), and as a specific emission rate (μg/min/L) for the low-power simmer phase.(15) Modified combustion efficiency (MCE) defined as the molar ratio of CO2/(CO2 + CO) is used as a proxy of combustion conditions. Thermal efficiency (TE) is calculated as the ratio of useful energy (energy absorbed from the water heating and evaporation during the test) divided by fuel energy. Statistical analysis is performed using SPSS (Statistical Package for the Social Sciences, IBM Corporation) with α = 0.05. Nonparametric tests are used for correlation analysis and difference comparisons.
Results and Discussion
Artifact Correction
Sampling artifacts for organic carbon (OC) and semivolatile organic compounds including PAHs are widely recognized and examined for ambient air samples; however, the specific organic species in cookstove emissions contributing to this artifact are unknown presently. High vapor pressure (VP), low molecular weight (MW) PAHs are present at higher concentrations in the cookstove emissions, are more likely to be gaseous, and thus contribute to the adsorption artifact. TEx-GC–MS analysis of Qb shows higher concentrations of acenaphthylene (152 amu), phenanthrene and anthracene (178 amu), and fluoranthene and pyrene (202 amu), in that order. Although, for certain compounds such as 1-methylchrysene, perylene, and dibenzo[a,h]anthracene (p > 0.05), the correlations are not significant, likely due to their low or nondetectable levels on the Qb. For most PAHs, the concentrations measured on Qb and Qf correlate positively (r = 0.60–0.91, p < 0.001, Table S1).
As expected, higher VP, lower MW PAHs contribute substantially to the artifact, as evidenced by Fa values (Figure 1). The calculated Fa value for naphthalene is less than those of the other semivolatile PAHs despite its high vapor pressure. Possibly, naphthalene adsorbs more readily to PM2.5 than quartz material because Qf ≫ Qb in this case. Perhaps its volatility subjects naphthalene to loss during sample handling and analysis without particles present, introducing a low bias in Fa. Pooled Fa values correlate negatively (r = −0.631, p < 0.05) with PAH MW (Figure S1) and positively with vapor pressure (VP) (r = 0.539, p < 0.05) (Figure S2). Fa values decrease as PAH concentrations increase (Figure S2) and stabilize at ∼20% with PAH concentrations >50 ng/m3 on the Qf. A similar trend was observed in literature for organic carbon (OC) with Fagradually decreasing from >0.8 to 0.2 with increasing OC concentration.(48, 50) This change in Fais explained partly by the gradual saturation of vacant adsorption sites on the filter as PAH concentrations rise.(48, 50) Adsorption of gases onto particles collected on Qf may also effectively reduce Fa. This effect is especially pronounced as filter loads increase. Additional factors affecting gas absorption/adsorption (such as temperature and exhaust relative humidity, among others) are not significant. Results from the stepwise linear regression model identified MW or vapor pressure (MW is usually correlated positively with vapor pressure) as the most significant influencing factor affecting the Fa, and the inclusion of other factors did not increase the explanation of variance in the Fa value. Finally, Fa was <5% for PAHs with MW > 252 amu, showing that these PAHs are predominantly in the particle phase.
Figure 1.

Fa values (percent of measured concentration in gas-phase filter to that in the corresponding particle-phase filter) for individual PAH compounds. Data are reported as means and standard errors.
Emission Factor Calculations
Artifact-corrected results are used to calculate PAH emission factors. A strong linear relationship is observed between PAH emission factors calculated using the diluted emission capture and carbon mass balance methods (m = 1.1, r = 0.999, p < 0.05) (Figure S3). The relative difference between calculation methods ranges from 0.7 to 20% with a median difference of 8.5%. Typically, field studies that apply the carbon mass balance method for determining emission factors use only CO and CO2, and this study affirms the acceptability of ignoring the particle-phase and volatile carbon species. For example, ignoring particle-phase carbon leads to a median difference of approximately 0.04% (0.02%–0.26% as an interquartile range). If only CO and CO2measurements are used in the calculation (with PM carbon and gaseous total hydrocarbons unaccounted for), a relative median difference of approximately 0.54% (0.35%–1.0%) is observed in emission factors, showing that the volatile and particle-phase carbon species are minor relative to the CO2 and CO emissions. These observed differences are slight compared with the uncertainty in pollutant emission factors due to different fuel and stove properties and the various burning conditions. The diluted emission capture method is applied to emissions from this point forward.
Thermal Efficiency and the Effects of Start Phase and Fuel Moisture Content
TEs can vary with the CS and HS phase, depending on stove materials and design and test protocols, among other factors.(15, 16) Generally, the LPG cookstove exhibits the highest TE (∼57%) followed by the kerosene stove (∼42%), the wood combustion in the forced-draft woodstove (31%), and the natural-draft woodstove (25%). The TE difference among these cookstoves is significant (p < 0.001) (Figure S4-a). However, the figure shows the negligible influence on the TE (p < 0.05) due to the start phase and fuel moisture content variables. The forced-draft stove MCEs of 99.5 ± 0.1 and 98.7 ± 0.5% for low and high-moisture fuels and the natural-draft wood stove MCEs of 97.8 ± 0.3 and 97.5 ± 0.2% for the low and high-moisture fuels, respectively, show no significant difference (Figure S5). In the low-power simmer phase, MCEs (97.0 ± 0.1 vs 96.7 ± 0.5%) are also similar (Table S2).
∑PAH25
The start phase at high power does not significantly affect ∑PAH25 on a fuel mass basis nor on a useful energy basis (Figure S4-b). Therefore, from this point forward, results from the CS and HS phases are averaged and treated as one high-power phase.
Table 1 provides the wide range of ∑PAH25 emission factors for different fuel–stove combinations. Emission factors for individual stoves and fuels are given in Table S2. The wood combustion in the natural-draft cookstove shows the highest emissions. LPG shows the lowest emissions; however, due to high emission variability, the ∑PAH25 values among the LPG, kerosene, and wood combustion in the forced-draft fan stove are not significantly different. ∑PAH25 values produced using low- and high-moisture wood fuels also show no significant difference. This result is applicable to values calculated on a per fuel mass basis, per fuel energy basis, and on a specific emission rate basis (μg/min/L water) (Figure S6). The influence of fuel moisture content is complicated and often treated as nonlinear.(42, 51, 52) Despite the significantly different TE values among stoves, stoves with high TEs do not necessarily produce low PAH emissions in the present study. In fact, there is no significant correlation between TE and ∑PAH25 emission (p > 0.05) currently. TE depends mainly on heat transfer efficiency and less so on MCE, to which the ∑PAH25 emission correlates inversely (p < 0.001).
Table 1.
∑PAH25, ∑PAH16, and B[a]P Emission Factors for Tested Fuel–Stove Combinationsa
| Fuel-stove combination | High power | |||||
| Fuel energy basis | Useful energy basis | |||||
| ∑PAHs | ∑PAH16 | B[a]P | ∑PAHs | ∑PAH16 | B[a]P | |
| µg/MJ | µg/MJ | µg/MJ | mg/MJd | mg/MJd | µg/MJd | |
| LPG | 20.0±19.6 | 19.2±18.7 | 0.466±0.793 | 0.036±0.036 | 0.034±0.034 | 0.842±1.44 |
| kerosene | 53.5±9.2 | 50.0±8.4 | 2.25±0.95 | 0.128±0.020 | 0.119±0.018 | 5.36±2.26 |
| LMW-FD | 17.9±12.9 | 15.9±11.0 | 1.64±1.64 | 0.058±0.038 | 0.050±0.033 | 5.17±4.91 |
| HMW-FD | 31.4±17.3 | 27.5±15.5 | 2.48±1.24 | 0.102±0.059 | 0.089±0.053 | 8.07±4.26 |
| LMW-ND | 890±250 | 803±230 | 109±31 | 3.54±0.83 | 3.19±0.77 | 433±108 |
| HMW-ND | 756±352 | 686±323 | 95.7±45.9 | 3.09±1.44 | 2.80±1.32 | 391±187 |
| Fuel-stove combination | Low power | |||||
| Fuel energy basis | Per liter water per time | |||||
| ∑PAHs | ∑PAH16 | B[a]P | ∑PAHs | ∑PAH16 | B[a]P | |
| µg/MJ | µg/MJ | µg/MJ | µg/min/l | µg/min/l | µg/min/l | |
| LPG | 16.0±5.7 | 15.8±5.9 | 0.075±0.053 | 0.713±0.234 | 0.705±0.240 | 0.003±0.002 |
| kerosene | 45.2±34.4 | 42.2±33.9 | 1.02±0.48 | 1.39±0.94 | 1.30±0.94 | 0.035±0.020 |
| LMW-FD | 54.8±25.4 | 49.4±22.6 | 5.86±3.38 | 2.11±1.44 | 1.90±1.29 | 0.230±0.183 |
| LMW-ND | 61.5±22.0 | 57.7±21.1 | 2.35±0.63 | 2.45±0.73 | 2.29±0.70 | 0.094±0.020 |
| HMW-ND | 115±18 | 105±19 | 10.1±2.0 | 4.74±0.86 | 4.37±0.91 | 0.418±0.071 |
a Including (i) LPG stove, (ii) kerosene stove, (iii) low moisture wood in the forced-draft cookstove (LMW-FD), (iv) high-moisture wood in the forced-draft stove (HMW-FD), (v) low-moisture wood in the natural-draft stove (LMW-ND), and (vi) high-moisture wood in the natural-draft stove (HMW-ND) operating in high- and low-power phases, ± standard deviation. In the low-power phase, the combination HMW-FD was not tested.
For the low-power phase, ∑PAH25 emission factors are expressed on a fuel mass basis (Table S2), a fuel energy basis, and as a specific emission rate (μg PAH/min/L water) (Table 1). Emissions on a useful energy basis are not evaluated because the useful energy delivered to the cooking pot is difficult to measure in the low-power phase. Considering emissions per unit fuel energy, burning high-moisture wood in the natural-draft cookstove shows the highest emissions (117 ± 19 μg/MJ), whereas LPG shows relatively low emissions (16.4 ± 5.9 μg/MJ) on average. A similar result is revealed when using the specific emission rate. Though the difference was statistically not significant due to high test variability and perhaps the relatively small sample size, the obvious general trend for the low-power phase is the same as that in the high-power phase.
∑PAH16
The 16 U.S. EPA priority PAHs are commonly reported in emissions studies; therefore, we also account for the emissions of ∑PAH16 (Table 1) and compare with literature results. For the ∑PAH16 emission, the highest emissions are found for the wood combustion in the natural-draft cookstoves, followed by the kerosene burning, the wood combustion in the forced-draft cookstove and LPG, in that order. Differences among the latter three stove–fuel combinations are statistically not significant.
Particulate PAH emission factors measured in the present study were compared to other studies in literature in the measurement units of PAHs mass per fuel mass (mg/kg) because many past studies reported emissions on fuel weight basis. In a past study,(21) ∑PAH16 = 2.98 mg/kg in PM emissions from kerosene burned in a wick stove, agreeing with the 2.15 mg/kg on average in the present study. Literature-based PAH emissions from wood combustion are mainly for traditional or improved natural-draft cookstoves. The ∑PAH16 emissions from the combustion of wood logs in natural-draft stoves ranged from 0.39 to 43 mg/kg with an overall average and geometric mean of 3.10 and 2.08 mg/kg, respectively.(20–23, 25–27, 29) Results for the wood combustion in the natural-draft stove in the present study fall within this range, although the average value in this study is as high as 13.5 mg/kg during the high-power phase. The ∑PAH16 emissions for the wood combustion in the forced-draft stove (0.407 mg/kg during the high-power phase) are a factor of ∼7.8 lower than the calculated overall mean from the literature for wood combustion in natural-draft stoves. A recent study on the mutagenicity and pollutant emissions from cookstoves reported ∑PAH16 in PM emissions of 27.8, 13.5, and 2.06 mg/kg for wood combustions in a three-stone fire, a natural-draft stove, and a forced-draft stove, respectively.(53)
Despite a notable difference in fuel and stove types, the burning experiments in these literature studies are conducted by either bringing a known amount of water to the boiling point and simmering(29) or burning known amounts of fuels (fuel amounts were usually estimated in trial tests to ensure that enough fuel was used to boil the water to its boiling point)(20–28) and sampling with(18, 19, 23–29, 36) or without a fire startup phase.(20–22) Different sampling methods and laboratory PAH analysis methods were also used. These experimental differences can affect the reported emission factors. However, the general trend is clear: PAH emissions for wood combustion in natural-draft stoves are consistently higher than that for wood combustion in forced-draft stoves, and much lower emissions can be expected with the use of cleaner fuels such as LPG.
Individual PAH Profiles
Individual PAH emission factor data are presented in Table S2 and Figure S7. How PAH distributions vary across the different stoves is an interesting feature of the data. For example, the natural-draft stove emits more high molecular weight PAHs, while the LPG stove generally emits lower and intermediate volatility PAHs. This emissions pattern is readily observed in the normalized compositional profiles (Figure S8). The mass fraction of PAHs with ≥5 rings comprises roughly 50% of the total PAH emissions from the wood combustion in the natural-draft cookstove, whereas these compounds comprise only 10–20% of the PAHs in burning kerosene and LPG and ∼40% in the wood combustion emissions from the forced-draft stove. Distinct composition profiles would presumably affect the potential toxicity of particles from different fuel–stove combustion emissions.
Low-power phase PAH emission profiles are slightly different from high-power phase PAH emissions. Generally, all stoves operating at low power emit higher PAH concentrations over the MW range of 202 to 228 amu, and heavier PAHs tend to be emitted from the natural- and forced-draft cookstoves burning wood (Figures S9 and S10). The LPG stove PAH emission contributions are isolated to intermediate volatility PAHs, similar to the high-power phase observations for this fuel and stove. The mass fractions of PAHs with 4 and ≥5 rings are 84 ± 2 and 3.7 ± 2.3% in the LPG emissions, respectively. Those fractions are 73 ± 6 and 19 ± 5% in emissions from burning the low-moisture wood in the natural-draft cookstove.
Relationships among PAHs, CO, and PM2.5
The ∑PAH25 correlates positively to coemitted CO (r = 0.896, p < 0.001 in the high-power phase and r = 0.736, p = 0.003 in the low-power phase) and PM2.5 (r = 0.598, p < 0.001 in the high-power phase and r = 0.807, p < 0.001 in the low-power phase).
The mass proportion of the ∑PAH25 in PM2.5 varies among fuel–stove combinations and burning phases (Table S3). The difference between the high- and low-power phases for most fuel–stove combinations is not significant except for the wood combustion in the natural-draft woodstove, in which significantly lower ∑PAH25/PM2.5 ratios (1.23–1.28 μg/mg) are observed in the low-power phase compared with those observed in the high-power phase (5.73–7.59 μg/mg). Relatively high mass fractions were observed for kerosene burning in both the high- and low-power phases (10.1 ± 3.3 and 9.15 ± 5.44 μg/mg, respectively), followed by the wood combustion in the natural-draft stove during the high-power operation (7.41 ± 1.20 and 6.66 ± 2.94 μg/mg for low- and high-moisture woods) and LPG combustion (5.34 ± 4.29 and 10.6 ± 2.6 μg/mg in the high- and low-power phases, respectively). The lowest ∑PAH25/PM2.5 fractions are found in the wood combustion in the forced-draft stoves (1.13 ± 0.63 and 1.41 ± 0.88 μg/mg in high- and low-moisture wood combustion during the high-power phase and 2.81 ± 1.85 μg/mg in the low-power phase of dry wood combustion). A relatively high ∑PAH25/PM ratio in kerosene combustion compared with that in wood combustion had also been reported previously. For example, in another laboratory study,(20, 21) the particulate PAHs (16 priority PAHs and benzo[e]pyrene) emission per unit mass of PM for kerosene burning in a wick stove was ∼10.0 μg/mg (close to the result in the present study), which is much higher than the particulate PAH emissions per unit mass of PM for wood burning, ranging from 0.08 to 1.64 μg/mg. Though the mass proportion of ∑PAH25 in PM2.5 is relatively high for kerosene and LPG compared with that for the wood combustion in natural-draft cookstoves, it is necessary to note that the absolute emissions were lower for the former two fuel–stove combinations, as discussed above.
PAH Emissions and Tier-Rated Performance
ISO International Workshop Agreement (IWA) 11:2012 guidelines(54) are provided for rating cookstoves and fuels (tiers 1–4, with tier 4 representing the best-performing stoves) using emitted pollutants CO and PM2.5 as indicators. Pollutant emission factor scales are specified on a useful energy basis for the high-power phase and per specific emission rate in the low-power phase. Figure 2a considers CO emissions, showing for the high-power phase that all stoves tested are sub-tier 4. However, the story changes for PM2.5 (Figure 2b). While wood combustion in the natural-draft cookstove is sub-tier 1, the forced-draft fan stove is sub-tier 3 or 4 when burning low-moisture wood, while kerosene and LPG stoves are sub-tier 4.
Figure 2.

Figure 2. B[a]P vs CO (a) or PM2.5 (b) emissions per useful energy delivered to water during the high-power test phase. Sub-tier levels per ISO IWA 11:2012.
To our knowledge, individual pollutants other than CO and PM2.5 have not yet been examined relative to the ISO cookstoves tier-rated system. For the first time, Figure 2 allows us to visualize the cookstove performance in subtiers while considering B[a]P emissions. B[a]P is selected due to its carcinogenicity.(8, 9) This exercise is meant to provide a novel perspective on the potential toxic effect of the stove emissions. Irrespective of the CO emissions tier of the natural-draft stove, the relatively high B[a]P emissions suggests the natural draft stove represents a higher potential exposure risk similar to PM2.5. Also at high power, the kerosene burning and wood combustion in the forced-draft stoves emit B[a]P in similar quantities despite being tiered differently with regard to PM2.5, suggesting different resolving power between PM2.5 and B[a]P pollutants.
For the low-power phase, all the stoves tested are sub-tier 4 for CO emissions (Figure 3a). However, the PM2.5 emissions ratings show the kerosene and LPG stoves in sub-tier 4 and the wood cookstoves in sub-tiers 2 and 3, Figure 3b. The wood and kerosene stoves represent a potentially similar B[a]P exposure risk. Ultimately, when rating stoves, it may be important to consider the concentration strength of individual chemical pollutants, especially those with high toxic potentials.
Figure 3.

B[a]P emissions vs CO (a) or PM2.5 (b) emissions per liter of water per minute during the low-power simmer system. Sub-tier levels per ISO IWA 11:2012
Implications and Limitations
Comparing emissions per useful energy delivered (μg/MJd) is one way to estimate the extent to which adoption of cleaner fuels and cookstoves potentially reduces emissions. Because the effect of fuel moisture content on PAH emissions for these particular experiments is not significant, results for low- and high-moisture fuels were averaged for this next analysis. High-power test phase data are used because the useful thermal energy delivered is accurately known. Using B[a]P emissions as the example (409 ± 150, 6.70 ± 4.64, 5.36 ± 2.26, and 0.841 ± 1.456 μg/MJdfor wood combustion in the natural-draft cookstove, wood burning in the forced-draft fan cookstove, kerosene, and LPG, respectively), an approximate 85% reduction in emissions of B[a]P is expected when adopting LPG instead of kerosene in wick stoves or wood in forced-draft stoves. Reductions greater than 95% may also be expected if kerosene, LPG, and wood combustion in the forced-draft fan stove were used instead of burning wood in the natural-draft cookstoves.
Emission rate is commonly used to evaluate potential indoor air quality impacts and consequent exposure risk and health impacts of cookstove emissions.(8, 15, 55) The WHO sets emission rate targets (ERTs) for PM2.5 and CO for vented and unvented stoves. For instance, the ERT and intermediate ERT for PM2.5, for which 100 and 60% of homes meet the Annual Quality Guideline (AQG) of 35 μg/m3, are 0.23 and 1.75 mg/min for unvented cookstoves and 0.80 and 7.15 mg/min for vented cookstoves, respectively. ERTs may be used as a basis for fuel and stove device selection.(8, 55) Again, B[a]P from the high-power phase is the current focus. The average emission rates of B[a]P for wood combustion in the natural-draft rocket stove, wood combustion in the forced-draft fan stove, the kerosene burning, and the LPG burning were 26.8 ± 11.6, 0.552 ± 0.396, 0.452 ± 0.196, and 0.0426 ± 0.0722 μg/min, respectively. Therefore, the use of LPG or wood in the forced-draft stoves would reduce nearly 98% of indoor B[a]P compared with the use of wood in the natural-draft stove. If LPG is used instead of wood in the forced-draft fan stove or kerosene, indoor B[a]P concentrations will decrease markedly by ∼90%. The use of wood in the forced-draft fan stove has indoor PAH emissions comparable to those for kerosene burning in the wick stove.
The quantified emission reductions for other wood types may be different from the results for oak wood studied here, but nevertheless, emission reductions would be expected when replacing natural-draft stoves by forced-draft stoves, and there would be a more significant reduction with the use of clean fuels such as LPG. This study shows that the LPG stove has the lowest PAH, CO, and PM2.5 emissions. Kerosene emissions of PM2.5, CO, and targeted PAHs are lower than those measured for wood burning in a natural-draft cookstove but higher than LPG. Hazardous pollutant emissions and their associations with adverse health outcomes in households using kerosene for cooking and lighting are well-documented.(8, 56, 57) These sources would benefit from further investigation such as that provided here. In certain regions where LPG and kerosene are unavailable or unaffordable for local residents, our study results suggest that a high-efficiency, forced-draft biomass cookstove burning wood may effectively reduce emissions and consequently improve air quality and human health.(4) Of course, the use of chimneys further reduces indoor pollution.(8)
Only particle-phase PAHs were analyzed in this study despite the fact that gas-phase PAH emissions are also substantial and vary with fuel–cookstove types and burning conditions.(20–22, 42) This potentially limits comparing these PAH emission factors to other studies and partially constrains emissions inventory development. An effective intervention may require the examination of a larger number of fuels and cookstove devices than the current investigation. For example, multiple burner designs are commercially available for LPG stoves and likely affect pollutant emissions. Despite the present study being laboratory controlled, relatively large uncertainties in PAH emissions are observed. The coefficient of variation in PAH emissions per useful energy delivered in the high-power phase ranged from 15% in the kerosene combustion to nearly 100% in the LPG combustion. Future laboratory studies are needed to better understand contributions to this wide potential range of PAH emissions. Finally, the demand for further comparisons between laboratory and field studies is substantial. Such information will help clarify the uncertainties associated with cookstove and fuel performance during actual use and will help to evaluate impacts on air quality and human health by promoting use-appropriate fuels and cookstoves.
Supplementary Material
Acknowledgment
Funding of the study was supported by the U.S. EPA. G.S. would like to acknowledge support by an appointment to the internship/research participation program at ORD, U.S. EPA, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and EPA. The views expressed in this article are those of the authors and do not necessarily reflect the views or policies of the U.S. EPA.
References
- 1.World Health Organization (WHO). Burden of disease fromambient and household air pollution.http://www.who.int/phe/health_topics/outdoorair/databases/en/ (accessed Nov 2015) .
- 2.Lim S; Vos T; Flaxman A; Danaei G; Shibuya K; Adair-Rohani H; Amann M; Anderson H;Andrews K; Aryee M; Atkinson C; Bacchus L; Bahalim A; Balakrishnan K; Balmes J;Barker-Collo S; Baxter A; Bell M; Blore J; Blyth F ;Bonner C; Borges G; Bourne R; Boussinesq M; Brauer M; Brooks P; Bruce N; Brunekreef B; Bryan-Hancock C; Bucello C;Buchbinder R; Bull F; Burnett R; Byers T; Calabria B ; Carapetis J; Carnahan E; Chafe Z; Charlson F; Chen H; Chen J; Cheng A; Child J; Cohen A; Colson K; Cowie B; Darby S; Darling S;Davis A; Degenhardt L; Dentener F;Des Jarlais D; Devries K; Dherani M; Ding E; Dorsey E;Driscoll T; Edmond K; Ali S; Engell R; Erwin P; Fahimi S; Falder G; Farzadfar F; Ferrari A;Finucane M; Flaxman S; Fowkes F; Freedman G; Freeman M; Gakidou E; Ghosh S;Giovannucci E; Gmel G; Graham K; Grainger R; Grant B; Gunnell D; Gutierrez H; Hall W;Hoek H; Hogan A; Hosgood H III; Hoy D; Hu H; Hubbell B;Hutchings S; Ibeanusi S; Jacklyn G; Jasrasaria R; Jonas J; Kan H; Kanis J; Kassebaum N;Kawakami N; Khang Y; Khatibzadeh S;Khoo J; Kok C; Laden F; Lalloo R; Lan Q; Lathlean T; Leasher J; Leigh J; Li Y; Lin J;Lipshultz S; London S; Lozano R; Lu Y; Mak J; Malekzadeh R; Mallinger L; Marcenes W;March L; Marks R; Martin R; McGale P; McGrath J; Mehta S; Mensah G; Merriman T; Micha R;Michaud C; Mishra V; Hanafiah K; Mokdad A; Morawska K; Mozaffarian D; Murphy T; Naghavi M;Neal B; Nelson P; Nolla J; Norman R; Olives C; Omer S; Orchard J; Osborne R; Ostro B;Page A; Pandey K; Parry C; Passmore E; Patra J; Pearce N; Pelizzari P; Petzold M; Phillips M;Pope D; Pope C III; Powles J; Rao M; Razavi H; Rehfuess E; Rehm J; Ritz B; Rivara F; Roberts T; Robinson C; Rodriguez-Portales J; Romieu I; Room P; Rosenfeld L; Roy A; Rushton L;Salomon J ; Sampson U; Sanchez-Riera L; Sanman E; Sapkota A; Seedat S; Shi P; Shield K ;Shivakoti R; Singh G; Sleet D; Smith E; Smith K; Stapelberg N; Steenland K; Stöckl H;Stovner L; Straif K; Straney L; Thurston G; Tran J; van Dingenen R; van Donkelaar A; Veerman J;Vijayakumar L; Weintraub R; Weissman M; White R; Whiteford H; Wiersma S; Wilkinson J;Williams H; Williams W; Wilson N; Woolf A; Yip P; Zielinski J; Lopez A; Murray C; Ezzati M A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010Lancet 2012, 380, 2224– 2260 DOI: 10.1016/S0140-6736(12)61766-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Lelieveld J; Evans J; Fanis M; Giannadaki D; Pozzer A The contribution of outdoor air pollution sources to premature mortality on a global scale Nature 2015, 525, 367– 371 DOI: 10.1038/nature15371 [DOI] [PubMed] [Google Scholar]
- 4.Anenberg S; Balakrishnan K; Jetter J; Masera O; Mehta S; Moss J; Ramanathan V Cleaner cooking solutions to achieve health, climate and economic cobenefits Environ. Sci. Technol 2013,47, 3944– 3952DOI: 10.1021/es304942e [DOI] [PubMed] [Google Scholar]
- 5.Lacey F; Henze D Global climate impacts of country-level primary carbonaceous aerosol from solid-fuel cookstove emissions Environ. Res. Lett 2015, 10, 114003 DOI: 10.1088/1748-9326/10/11/114003 [DOI] [Google Scholar]
- 6.U.S. Department of State (DOS). The UnitedStates announcessignificant support for the clean cooking sector and the Global Alliancefor Clean Cookstoves Media Note. Office of the Spokesperson; https://2009-2017.state.gov/r/pa/prs/ps/2014/11/234326.htm (accessed Jan 2016) . [Google Scholar]
- 7.Global Alliance for Clean Cookstoves (GACC). Five yearsof impact 2010. –2015. Our Story. Our Progress. Our Aspiration. http://cleancookstoves.org/binary-data/RESOURCE/file/000/000/406-1.pdf (accessed Jan2016) . [Google Scholar]
- 8.World Health Organization (WHO). WHO Guidelines for indoorair quality: household fuel combustionhttp://www.who.int/indoorair/guidelines/hhfc/en/ (accessed Nov 2015) . [Google Scholar]
- 9.World Health Organization. International Agency for Researchon Cancer. IARC monographs on the evaluation of carcinogenic risksto humans. Volume 95: household use of solid fuels and high-temperaturefrying http://monographs.iarc.fr/ENG/Monographs/vol95/ (accessed Mar 2016) . [Google Scholar]
- 10.Shen H; Huang Y; Wang R; Zhu D; Li W; Shen G; Wang B; Zhang Y; Chen Y; Lu Y; Chen H; Li T; Sun K; Li B; Liu W; Liu J; Tao S Global atmospheric emissions of polycyclic aromatic hydrocarbons from 1960 to 2008 and future predictions Environ. Sci. Technol 2013, 47, 6415– 6424 DOI: 10.1021/es400857z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Friedman C; Zhang Y; Selin N Climate change and emissions impacts on atmospheric PAH transport to the Arctic Environ. Sci. Technol 2014, 48, 429– 437 DOI: 10.1021/es403098w [DOI] [PubMed] [Google Scholar]
- 12.Ding X; Wang X; Xie Z; Xiang C; Mai B; Sun L; Zheng M; Sheng G; Fu J; Pöschl U Atmospheric polycyclic aromatic hydrocarbons observed over the North Pacific Ocean and the Arctic area: spatial distribution and source identification Atmos. Environ 2007, 41, 2061– 2072 DOI: 10.1016/j.atmosenv.2006.11.002 [DOI] [Google Scholar]
- 13.Shen H; Tao S; Liu J; Huang Y; Chen H; Li W; Zhang Y; Chen Y; Su S; Lin N; Xu Y; Li B;Wang X; Liu W Global lung cancer risk from PAH exposure highly depends on emission sources and individual susceptibility Sci. Rep 2014, 4, 6561 DOI: 10.1038/srep06561 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Shen G; Tao S; Wei S; Zhang Y; Wang R; Wang B; Li W; Shen H; Huang Y; Chen Y; Chen H;Yang Y; Wang W; Wei W; Wang X; Liu W; Wang X; Simonich S Reduction in emissions of carbonaceous particulate matter and polycyclic aromatic hydrocarbons from combustion of biomass pellets in comparison with raw fuel burning Environ. Sci. Technol. 2012, 46, 6409– 6416 DOI: 10.1021/es300369d [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Jetter J;Zhao Y;Smith K;Khan B;Yelverton T;DeCarlo P;Hays M Pollutant emissions and energy efficiency under controlled conditions for household biomass cookstoves and implications for metrics useful in setting international test standards Environ. Sci. Technol.2012,46, 10827– 108 DOI: 10.1021/es301693f [DOI] [PubMed] [Google Scholar]
- 16.Carter EM; Shan M; Yang X; Li J; Baumgartner J Pollutant emissions and energy efficiency of Chinese gasifier cooking stoves and implication for future intervention studies Environ. Sci. Technol. 2014,48, 6461– 646 DOI: 10.1021/es405723w [DOI] [PubMed] [Google Scholar]
- 17.Shen G; Chen Y; Xue C; Lin N; Huang Y; Shen H; Wang Y; Li T; Zhang Y; Su S; Huangfu Y;Zhang W; Chen X; Liu G; Liu W; Wang X; Wong M-H; Tao S Pollutant emissions from improved coal-and wood-fuelled cookstoves in rural households Environ. Sci. Technol. 2015, 49, 6590– 6598 DOI: 10.1021/es506343z [DOI] [PubMed] [Google Scholar]
- 18.Chen YJ; Zhi GR; Feng YL; Tian CG; Bi XH; Li J; Zhang G Increase in polycyclic aromatic hydrocarbon (PAH) emissions due to briquetting: A challenge to the coal briquetting policy Environ. Pollut. 2015, 204, 58– 63 DOI: 10.1016/j.envpol.2015.04.012 [DOI] [PubMed] [Google Scholar]
- 19.Chen YJ; Sheng GY; Bi XH; Feng YL; Mai BX; Fu JM Emission factors for carbonaceous particles and polycyclic aromatic hydrocarbons from residential coal combustion in China Environ. Sci. Technol. 2005, 39 (6) 1861– 1867 DOI: 10.1021/es0493650 [DOI] [PubMed] [Google Scholar]
- 20.Oanh NTK; Albina DO; Ping L; Wang XK Emission of particulate matter and polycyclic aromatic hydrocarbons from select cookstove-fuel systems in Asia Biomass Bioenergy 2005, 28 (6) 579– 590 DOI: 10.1016/j.biombioe.2005.01.003 [DOI] [Google Scholar]
- 21.Oanh NTK; Nghiem L; Phyu YL Emission of polycyclic aromatic hydrocarbons, toxicity, and mutagenicity from domestic cooking using sawdust briquettes, wood, and kerosene Environ. Sci. Technol.2002, 36 (5) 833– 839 DOI: 10.1021/es011060n [DOI] [PubMed] [Google Scholar]
- 22.Oanh NTK; Reutergardh LB; Dung NT Emission of polycyclic aromatic hydrocarbons and particulate matter from domestic combustion of selected fuels Environ. Sci. Technol. 1999, 33 (16) 2703– 2709 DOI: 10.1021/es980853f [DOI] [Google Scholar]
- 23.Rajput N; Pyari AA; Saini MK;Kumari KM; Lakhani A Assessment of PAH Toxicity and Mutagenicity in Emissions from Coal and Biofuel Combustion Journal of Environmental Science & Engineering 2010, 52 (3) 185– 192 [PubMed] [Google Scholar]
- 24.Shen G; Tao S; Wang W; Yang Y; Ding J; Xue M; Min Y; Zhu C; Shen H; Li W; Wang B;Wang R; Wang W; Wang X; Russell AG Emission of Oxygenated Polycyclic Aromatic Hydrocarbons from Indoor Solid Fuel Combustion Environ. Sci. Technol. 2011, 45 (8) 3459– 3465 DOI: 10.1021/es104364t [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Shen G; Tao S; Wei S; Chen Y; Zhang Y; Shen H; Huang Y; Zhu D; Yuan C; Wang Y;Pei L; Liao Y; Duan Y; Wang B; Wang R; Lv Y; Li W; Wang X; Zheng X Field Measurement of Emission Factors of PM, EC, OC, Parent, Nitro-, and Oxy- Polycyclic Aromatic Hydrocarbons for Residential Briquette, Coal Cake, and Wood in Rural Shanxi, China Environ. Sci. Technol. 2013, 47 (6) 2998– 3005DOI: 10.1021/es304599g [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Shen G; Tao S; Wei S; Zhang Y; Wang R; Wang B; Li W; Shen H; Huang Y; Chen Y; Chen H;Yang Y; Wang W; Wang X; Liu W; Simonich SLM Emissions of Parent, Nitro, and Oxygenated Polycyclic Aromatic Hydrocarbons from Residential Wood Combustion in Rural China Environ. Sci. Technol.2012, 46 (15) 8123– 8130 DOI: 10.1021/es301146v [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Shen G;Wang W;Yang Y;Ding J;Xue M;Min Y;Zhu C;Shen H;Li W;Wang B;Wang R;Wang L;Tao S;Russell AG Emissions of PAHs from Indoor Crop Residue Burning in a Typical Rural Stove: Emission Factors, Size Distributions, and Gas-Particle Partitioning Environ. Sci. Technol. 2011, 45 (4)1206– 1212 DOI: 10.1021/es102151w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Shen G; Wang W; Yang Y; Zhu C; Min Y; Xue M; Ding J; Li W; Wang B; Shen H; Wang R;Wang X; Tao S Emission factors and particulate matter size distribution of polycyclic aromatic hydrocarbons from residential coal combustions in rural Northern China Atmos. Environ. 2010, 44 (39)5237– 5243 DOI: 10.1016/j.atmosenv.2010.08.042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Venkataraman C; Negi G; Sardar SB; Rastogi R Size distributions of polycyclic aromatic hydrocarbons in aerosol emissions from biofuel combustion J. Aerosol Sci 2002, 33 (3) 503– 518 DOI: 10.1016/S0021-8502(01)00185-9 [DOI] [Google Scholar]
- 30.Jenkins BM; Jones AD; Turn SQ; Williams RB Emission factors for polycyclic aromatic hydrocarbons from biomass burning Environ. Sci. Technol. 1996, 30 (8) 2462– 2469 DOI: 10.1021/es950699m [DOI] [Google Scholar]
- 31.Dhammapala R; Claiborn C; Jimenez J; Corkill J; Gullett B;Simpson C; Paulsen M Emission factors of PAHs, methoxyphenols, levoglucosan, elemental carbon and organic carbon from simulated wheat and Kentucky bluegrass stubble burns Atmos. Environ. 2007, 41 (12) 2660– 2669 DOI: 10.1016/j.atmosenv.2006.11.023 [DOI] [Google Scholar]
- 32.Dhammapala R ; Claiborn C ; Simpson C; Jimenez J Emission factors from wheat and Kentucky bluegrass stubble burning: Comparison of field and simulated burn experiments Atmos. Environ. 2007, 41(7) 1512– 1520 DOI: 10.1016/j.atmosenv.2006.10.008 [DOI] [PubMed] [Google Scholar]
- 33.Zhang HF; Hu DW; Chen JM; Ye XN; Wang SX; Hao JM; Wang L; Zhang RY; An ZS Particle Size Distribution and Polycyclic Aromatic Hydrocarbons Emissions from Agricultural Crop Residue Burning Environ. Sci. Technol. 2011, 45 (13) 5477– 5482 DOI: 10.1021/es1037904 [DOI] [PubMed] [Google Scholar]
- 34.Smith K Changing paradigms in clean cooking EcoHealth 2015, 12, 196– 199 DOI: 10.1007/s10393-015-1020-9 [DOI] [PubMed] [Google Scholar]
- 35.Shen G Changes from traditional solid fuels to clean household energies-opportunities in emission reduction of primary PM2.5 from residential cookstoves in China Biomass Bioenergy 2016, 86, 28– 36 DOI: 10.1016/j.biombioe.2016.01.004 [DOI] [Google Scholar]
- 36.Zhang J; Smith KR; Ma Y; Ye S; Jiang F; Qi W; Liu P; Khalil MAK; Rasmussen R;Thorneloe S Greenhouse gases and other airborne pollutants from household stoves in China: a database for emission factors Atmos. Environ. 2000, 34, 4537– 4549 DOI: 10.1016/S1352-2310(99)00450-1 [DOI] [Google Scholar]
- 37.Shen G; Xue M; Wei S; Chen Y; Zhao Q; Li B; Wu H; Tao S Influence of fuel moisture, charge size, feeding rate and air ventilation conditions on the emissions of PM, OC, EC, parent PAHs, and their derivatives from residential wood combustion J. Environ. Sci. 2013, 25 (9) 1808– 1816 DOI: 10.1016/S1001-0742(12)60258-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Roden C; Bond T; Conway S; Pinel ABO Emission factors and real-time optical properties of particles emitted from traditional wood burning cookstoves Environ. Sci. Technol. 2006, 40, 6750– 6757DOI: 10.1021/es052080i [DOI] [PubMed] [Google Scholar]
- 39.Jetter J; Kariher P Solid-fuel household cook stoves: characterization of performance and emissionsBiomass Bioenergy 2009, 33, 294– 305 DOI: 10.1016/j.biombioe.2008.05.014 [DOI] [Google Scholar]
- 40.Hays MD; Geron CD; Linna KJ; Smith ND; Schauer JJ Speciation of gas-phase and fine particle emissions from burning of foliar fuels Environ. Sci. Technol. 2002, 36, 2281– 2295 DOI: 10.1021/es0111683 [DOI] [PubMed] [Google Scholar]
- 41.Avagyan R; Nyström R; Lindgren R; Boman C; Westerholm R Particulate hydroxyl-PAH emissions from a residential wood log stove using different fuels and burning conditions Atmos. Environ. 2016, 140, 1–9 DOI: 10.1016/j.atmosenv.2016.05.041 [DOI] [Google Scholar]
- 42.Shen G; Tao S; Chen Y; Zhang Y; Wei S; Xue M; Wang B; Wang R; Lu Y; Li W; Shen H;Huang Y; Chen H Emission characteristics for polycyclic aromatic hydrocarbons from solid fuels burned in domestic stoves in rural China Environ. Sci. Technol. 2013, 47, 14485– 14494 DOI: 10.1021/es403110b [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Water Boiling Test (WBT 4.2.3). Global Alliance for Clean Cookstoves. Testing protocols. Released 19 March 2014 http://cleancookstoves.org/technology-and-fuels/testing/protocols.html (accessed Dec 2015) .
- 44.Herrington JS; Hays MD; George BJ; Baldauf RW The effects of operating conditions on semivolatile organic compounds emitted from light-duty, gasoline-powered motor vehicles Atmos. Environ.2012, 54, 53– 59 DOI: 10.1016/j.atmosenv.2012.02.043 [DOI] [Google Scholar]
- 45.Hays MD; Lavrich RJ Developments in direct thermal extraction gas chromatography-mass spectrometry of fine aerosols TrAC, Trends Anal. Chem. 2007, 26, 88– 102 DOI: 10.1016/j.trac.2006.08.007 [DOI] [Google Scholar]
- 46.Turpin BJ; Huntzicker JJ; Hering SV Investigation of organic aerosol sampling artifacts in the Los Angeles Basin Atmos. Environ. 1994, 28, 3061– 3071 DOI: 10.1016/1352-2310(94)00133-6 [DOI] [Google Scholar]
- 47.Viana M; Chi X; Maenhaut W; Cafmeyer J; Querol X; Alastuey A; Mikuška P; Vecera Z Influence of sampling artefacts on measured PM, OC, and EC levels in carbonaceous aerosols in an urban area Aerosol Sci. Technol. 2006, 40, 107– 117 DOI: 10.1080/02786820500484388 [DOI] [Google Scholar]
- 48.Kim BM; Cassmassi J; Hogo H; Zeldin MD Positive organic carbon artifacts on filter medium during PM2.5 sampling in the South Coast Air Basin Aerosol Sci. Technol. 2001, 34, 35– 41 DOI: 10.1080/02786820118227 [DOI] [Google Scholar]
- 49.Shen GF; Yang YF; Wang W; Tao S; Zhu C;Min Y; Xue M; Ding J; Wang B; Wang R;Shen H; Li W; Wang X; Russell AG Emission factors of particulate matter and elemental carbon for crop residues and coals burned in typical household stoves in China Environ. Sci. Technol. 2010, 44, 7157–7162 DOI: 10.1021/es101313y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Chow J; Watson J; Lu Z; Lowenthal DH; Frazier CA; Solomon PA; Thuillier RH; Magliano K Descriptive analysis of PM2.5 and PM10 at Regionally Representative Locations During SJVAQS/AUSPEXAtmos. Environ. 1996, 30, 2079– 2112 DOI: 10.1016/1352-2310(95)00402-5 [DOI] [Google Scholar]
- 51.Simoneit B Biomass burning—A review of organic tracers for smoke from incomplete combustion Appl. Geochem. 2002, 17, 129– 162 DOI: 10.1016/S0883-2927(01)00061-0 [DOI] [Google Scholar]
- 52.Rogge W; Hildemann L; Mazurek M; Cass G; Simoneit B Sources of fine organic aeroosl. 9. Pine, oak and synthetic log combustion in residential fireplaces Environ. Sci. Technol. 1998, 32, 13– 22 DOI: 10.1021/es960930b [DOI] [Google Scholar]
- 53.Mutlu E; Warren S; Ebersviller S; Kooter I; Schmid J; Dye J; Linak W; Gilmour M; Jetter J;Higuchi M; DeMarini D Mutagenicity and pollutant emission factors of solid-fuel cookstoves: comparison to other combustion sources Environ. Health Perspect. 2016, DOI: 10.1289/ehp.1509852 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.International Organization for Standardization (ISO). Guidelinesfor evaluating cookstove performance. IWA 11:2012. http://www.iso.org/iso/catalogue_detail?csnumber=61975 (accessed Jan 2016) . [Google Scholar]
- 55.Johnson M; Chiang R Quantitative guidance for stove usage and performance to achieve health and environmental targets Environ. Health Perspect. 2015, 123, 820– 826 DOI: 10.1289/ehp.1408681 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Lam N; Smith K; Gauthier A; Bates M Kerosene: a review of household uses and their hazards in low- and middle-income countries J. Toxicol. Environ. Health, Part B 2012, 15, 396– 432 DOI: 10.1080/10937404.2012.710134 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Adetona O; Li Z; Sjödin A; Romanoff L; Aguilar-Villalobos M; Needham L; Hall D; Cassidy B;Naeher L Biomonitoring of polycyclic aromatic hydrocarbon exposure in pregnant women in Trujillo, Peru-comparison of different fuel types used for cooking Environ. Int. 2013, 53, 1– 8 DOI: 10.1016/j.envint.2012.11.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
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