Many US states have adopted regulations to divert food waste from landfills to composts. While this may lower greenhouse emissions from landfills, volatile organic compound (VOC) emissions from compost may contain hazardous air pollutants or produce odors, posing potential public health concerns. Effective methods to analyze speciated VOCs in compost are needed to better understand VOC source generation. Here, a two-component compost sampling method was developed and employed consisting of a chilled impinger and pump apparatus to trap water-soluble VOCs, and dual sorbent tubes to capture hydrophobic VOCs in yard and food/yard waste compost. VOCs were measured via headspace gas chromatography with flame ionization detection (HS-GC-FID) and thermal desorption–gas chromatography–mass spectrometry (TD-GC-MS). Overall, there was higher VOC generation within higher-temperature compost piles, with concentrations ranging up to 27,000 ppm for ethanol and 3500 ppm for methanol. Alpha-pinene and D-limonene were seen in these piles with concentrations over 1600 ppb. Methanol and ethanol were more than one thousand times as concentrated in mixed food/yard waste than yard waste alone, while terpenes were seen in slightly higher concentrations for yard waste than the mixed food/yard waste. Methanol was observed to be higher than permissible indoor levels and may pose potential health risks.

Formaldehyde (HCHO) is a key carcinogen and plays an important role in atmospheric chemistry. Both field measurements and Positive Matrix Factorization (PMF) modeling have been employed to investigate the concentrations and sources of HCHO in the Lewiston-Clarkston (LC) valley of the mountainous northwestern U.S. Different instruments were deployed to measure surface formaldehyde and other related compounds in July of 2016 and 2017. The measurements reveal that the average HCHO concentrations have significantly decreased to 2–5 ppb in the LC valley in comparison to its levels (10–20 ppb) observed in July 2006. This discovery with surface measurements deserves attention given that satellite retrievals showed an increasing long-term trend from 2005 to 2014 in total vertical column density of HCHO in the region, suggesting that satellite instruments may not adequately resolve small valleys in the mountainous region. Our PMF modeling identified four major sources of HCHO in the valley: (1) emissions from a local paper mill, (2) secondary formation and background, (3) biogenic sources, and (4) traffic. This study reveals that the emissions from the paper mill cause high HCHO spikes (6–19 ppb) in the early morning. It is found that biogenic volatile organic compounds (VOCs) in the area are influenced by national forests surrounding the region (e.g., Nez Perce-Clearwater, Umatilla, Wallowa-Whitman, and Idaho Panhandle National Forests). The results provide useful information for developing strategies to control HCHO levels and have implications for future HCHO studies in atmospheric chemistry, which affects secondary aerosols and ozone formation.

The objective was to determine the efficacy of a vermifiltration system that treats liquid cattle manure to alter methane (CH4), nitrous oxide (N2O), ammonia (NH3) emissions, and nutrient composition (potassium-K; phosphorus-P; nitrogen-N). Liquid manure was sampled as it entered the worm-bed (influent) and as it exited from the worm-bed (effluent) to measure changes in nutrient composition. Worm-bed surface fluxes of CH4 and N2O were measured in real-time for three distinct environmental temperatures (0 ˚C, 10 ˚C, and 20 ˚C) to examine seasonal variation at several locations in the 3.64 ha worm-bed using isolation chambers and cavity ring-down spectrometry. NH3 flux was measured from the chambers using a ChemComb 3500 Speciation Collection Cartridge and coated honeycomb denuders. NH3 samples were eluted within 4 h of collection and stored at -20 ˚C until colorimetric analysis. Duplicate NH3 measurements were made for each chamber location at each temperature. Examination of the influx and efflux data indicates reductions of 25% in K, 96% in P, 99% in total suspended solids, 92% in volatile solids, and 92% in total Kjeldahl N. Chamber CH4 concentrations at 0 ˚C (0.51 to 1.18 ppm) tended to be less at 10 ˚C (2.17 to 2.67 ppm) and 20 ˚C (1.6 to 2.45 ppm) but were not different across temperatures (P < .077) and reflected ambient concentrations (2.44 ppm). N2O concentrations at 0 ˚C (157.00 to 224.00 ppb) and 10 ˚C (86.3 to 176.5 ppb) were not different than ambient (358.5 ppb), but at 20 ˚C (400.0 to 655.0 ppb) concentrations tended to be greater (P < 0.07). NH3 concentrations at 0 ˚C (0.06 to 0.33 ppm) and 20 ˚C (1.35 and 2.21 ppm) were not different but at 10 ˚C (11.8 to 28.7 ppm) were greater (P < 0.05). Fluxes were calculated for each sampling period. During 0 ˚C flux densities were 1.61 ± 0.17 mg· m-2· day-1 for N2O, 2.5 0.57mg m-2· day-1 for CH4, and 0.007± 0.00 mg m-2· day-1 for NH3. At 20°C flux densities were 1.98± 0.63 mg· m-2day-1 for N2O, 2.88± 0.755 mg m-2· day-1 for CH4, and 25.4 ± 0.0 mg· m-2· day-1 for NH3.Flux calculations and extrapolation of emission rates to the entire system indicates that vermifiltration is an effective strategy to alter nutrient concentrations and reduce CH4 emissions but not emissions of N2O and NH3.

Anthropogenic secondary organic aerosol (ASOA), formed from anthropogenic emissions of organic compounds, constitutes a substantial fraction of the mass of submicron aerosol in populated areas around the world and contributes to poor air quality and premature mortality. However, the precursor sources of ASOA are poorly understood, and there are large uncertainties in the health benefits that might accrue from reducing anthropogenic organic emissions. We show that the production of ASOA in 11 urban areas on three continents is strongly correlated with the reactivity of specific anthropogenic volatile organic compounds. The differences in ASOA production across different cities can be explained by differences in the emissions of aromatics and intermediate- and semi-volatile organic compounds, indicating the importance of controlling these ASOA precursors. With an improved model representation of ASOA driven by the observations, we attribute 340 000 PM2.5-related premature deaths per year to ASOA, which is over an order of magnitude higher than prior studies. A sensitivity case with a more recently proposed model for attributing mortality to PM2.5 (the Global Exposure Mortality Model) results in up to 900 000 deaths. A limitation of this study is the extrapolation from cities with detailed studies and regions where detailed emission inventories are available to other regions where uncertainties in emissions are larger. In addition to further development of institutional air quality management infrastructure, comprehensive air quality campaigns in the countries in South and Central America, Africa, South Asia, and the Middle East are needed for further progress in this area.

2 Compounds Contribute Substantially to Air Pollution Mortality 3 4 Benjamin A. Nault 1,2,* , Duseong S. Jo 1,2 , Brian C. McDonald 2,3 , Pedro Campuzano-Jost 1,2 , Douglas A. 5 Day 1,2 , Weiwei Hu 1,2,** , Jason C. Schroder 1,2,*** , James Allan 4,5 , Donald R. Blake 6 , Manjula R. 6 Canagaratna 7 , Hugh Coe 5 , Matthew M. Coggon 2,3 , Peter F. DeCarlo 8 , Glenn S. Diskin 9 , Rachel 7 Dunmore 10 , Frank Flocke 11 , Alan Fried 12 , Jessica B. Gilman 3 , Georgios Gkatzelis 2,3,**** , Jacqui F. 8 Hamilton 10 , Thomas F. Hanisco 13 , Patrick L. Hayes 14 , Daven K. Henze 15 , Alma Hodzic 11,16 , James 9 Hopkins 10,17 , Min Hu 18 , L. Greggory Huey 19 , B. Thomas Jobson 20 , William C. Kuster 3,***** , Alastair 10 Lewis 10,17 , Meng Li 2,3 , Jin Liao 13,21 , M. Omar Nawaz 15 , Ilana B. Pollack 22 , Jeffrey Peischl 2,3 , Bernhard 11 Rappenglück 23 , Claire E. Reeves 24 , Dirk Richter 12 , James M. Roberts 3 , Thomas B. Ryerson 3,****** , Min 12 Shao 25 , Jacob M. Sommers 14,26 , James Walega 12 , Carsten Warneke 2,3 , Petter Weibring 12 , Glenn M. 13 Wolfe 13,27 , Dominique E. Young 5,******* , Bin Yuan 25 , Qiang Zhang 28 , Joost A. de Gouw 1,2 , and Jose L. 14 Jimenez 1,2,+

Acetonitrile (CH 3 CN) has been widely employed as biomass burning tracer. However, the current application of CH 3 CN absolute mixing ratio as the thresholds may misidentify biomass burning due to the interference from other CH 3 CN sources in anthropogenic‐influenced environments. High levels of CH 3 CN were observed with minor biomass burning impact but still followed a similar correlation with carbon monoxide (CO), suggesting their shared source, most likely, vehicular emission. By analyzing the available literature including more than 30 worldwide field measurements, the enhancement ratios (EnRs) of CH 3 CN to CO for biomass burning were found as 2.01 ± 0.16 ppbv/ppmv, well distinguished from the EnRs obtained in urban measurement (0.26 ± 0.04 ppbv/ppmv). An example is given and the application of EnR to identify biomass burning is discussed. The results suggest that the correlation between CH 3 CN and CO and their EnRs can be used as more specific indicators for biomass burning.

Whole-house emission rates and indoor loss coefficients of formaldehyde and other volatile organic compounds (VOCs) were determined from continuous measurements inside a net-zero energy home at two different air change rates (ACHs). By turning the mechanical ventilation on and off, it was demonstrated that formaldehyde concentrations reach a steady state much more quickly than other VOCs, consistent with a significant indoor loss rate attributed to surface uptake. The first order loss coefficient for formaldehyde was 0.47 ± 0.06 h-1 at 0.08 h-1 ACH and 0.88 ± 0.22 h-1 at 0.62 h-1 ACH. Loss rates for other VOCs measured were not discernible, with the exception of hexanoic acid. A factor of 5.5 increase in the ACH increased the whole-house emission rates of VOCs but by varying degrees (factors of 1.1 to 3.8), with formaldehyde displaying no significant change. The formaldehyde area-specific emission rate (86 ± 8 μg m-2 h-1) was insensitive to changes in the ACH because its large indoor loss rate muted the impact of ventilation on indoor air concentrations. These results demonstrate that formaldehyde loss rates must be taken into account to correctly estimate whole-house emission rates and that ventilation will not be as effective at reducing indoor formaldehyde concentrations as it is for other VOCs.

Nanofabrics made from abundant natural protein that possesses enormous amounts of functional groups may have important applications such as air filtration. However, protein nanofabrics with randomly distributed nanofibers have very low mechanical properties and high airflow resistance, both of which seriously reduce the breathability. Here, a super-breathable zein (corn protein) fabric having a unique "woven-like" nanofibrous structure (w-PNF) via the accumulation effect between the charged nanofibers and the collector during electrospinning is reported. The resulting w-PNF exhibits remarkable tensile strength and modulus, which are 3 and 9 times, respectively, higher than the random protein nanofibrous materials. The filtration tests indicate that w-PNF presents super-breathable performance, including ultralow airflow resistance (1/12 of that of the nonwoven nanofabric) and high filtration efficiency for capturing PM2.5. As compared with the reported nanofabrics, w-PNF maintains the same airflow resistance at up to 4 times higher airflow rate. In addition, w-PNF presents visible-light transparency (80%) and high resolution even in microareas. This work provides a significant strategy for designing and fabricating nanofabrics for boosting the development of biological nanomaterials.

Abstract. Anthropogenic secondary organic aerosol (ASOA), formed from anthropogenic emissions of organic compounds, constitutes a substantial fraction of the mass of submicron aerosol in populated areas around the world and contributes to poor air quality and premature mortality. However, the precursor sources of ASOA are poorly understood, and there are large uncertainties in the health benefits that might accrue from reducing anthropogenic organic emissions. We show that the production of ASOA in 11 urban areas on three continents is strongly correlated with the anthropogenic reactivity of specific volatile organic compounds. The differences in ASOA production across different cities can be explained by differences in the emissions of aromatics and intermediate- and semi-volatile organic compounds, indicating the importance of controlling these ASOA precursors. With an improved modeling representation of ASOA driven by the observations, we attribute 340,000 PM2.5 premature deaths per year to ASOA, which is over an order of magnitude higher than prior studies. A sensitivity case with a more recently proposed model for attributing mortality to PM2.5 (the Global Exposure Mortality Model) results up to 900,000 deaths. A limitation of this study is the extrapolation from regions with detailed data to others where data is not available. Comprehensive air quality campaigns in the countries in South and Central America, Africa, South Asia, and the Middle East are needed for further progress in this area.

High time resolution monitoring of formaldehyde and other volatile organic compounds in the air of four homes in winter and summer revealed diel variation of VOC levels driven by infiltration and temperature dependent whole house emission rates. In unoccupied homes, these pollutants displayed a large diel concentration variation, with an afternoon maxima and early morning minima. VOC abundance lagged about 2 h behind changes in infiltration rates measured by a tracer release method, resulting in poor correlations between VOC concentration and air change rate. The data demonstrate that VOC abundance was not in steady state with respect to whole house emission rates. Formaldehyde and other VOCs displayed a positive correlation with indoor temperature in both winter and summer. Formaldehyde sensitivity to temperature ranged from 3.0 to 4.5 ppbv per degrees C, a useful metric for predicting the impact of heat waves and changing regional climate on indoor air quality. Gypsum wallboard used as radiant ceiling heating product in one home was identified as source of formaldehyde and potentially mercury.

Significant amounts of amines were detected in fine particulate matter (PM) during ambient wintertime conditions in Yakima, WA, using a high resolution time- of-flight aerosol mass spectrometer (HR-ToF-AMS). Positive matrix factorization (PMF) of the organic aerosol (OA) signal resulted in a six-factor solution that included two previously unreported amine OA factors. The contributions of the amine factors were strongly episodic, but the concentration of the combined amine factors was as high as 10-15 mu g m(-3) (2-min average) during those episodes. In one occasion, the Amine-II component was 45% of total OA signal. The Amine-I factor was dominated by spectral peaks at m/z 86 (C5H12N+) and m/z 100 (C6H14N+), while the Amine-II factor was dominated by spectral peaks at m/z 58 (C3H8N+ and C2H6N2+) and m/z 72 (C4H10N+ and C3H8N2+). The ions dominating each amine factor showed distinct time traces, suggesting different sources or formation processes. Investigation into the chemistry of the amine factors suggests a correlation with inorganic anions for Amine-I, but no evidence that the Amine-II was being neutralized by the same inorganic ions. We also excluded the presence of organonitrates (ON) in the OA. The presence of C2H4O2+ at m/z 60 (a levoglucosan fragment) in the Amine-I spectrum suggests some influence of biomass burning emissions (more specifically residential wood combustion) in this PMF factor, but wind direction suggested that the most likely sources of these amines were agricultural activities and feedlots to the S-SW of the site.

In the coming decades, as we experience global population growth and global aging issues, there will be corresponding concerns about the quality of the air we experience inside and outside buildings. Because we can anticipate that there will be behavioral changes that accompany population growth and aging, we examine the relationship between home occupant behavior and indoor air quality. To do this, we collect both sensor-based behavior data and chemical indoor air quality measurements in smart home environments. We introduce a novel machine learning-based approach to quantify the correlation between smart home features and chemical measurements of air quality, and evaluate the approach using two smart homes. The findings may help us understand the types of behavior that measurably impact indoor air quality. This information could help us plan for the future by developing an automated building system that would be used as part of a smart city.

The Yakima Air Wintertime Nitrate Study (YAWNS) was conducted in January 2013 to investigate the drivers of elevated levels of fine particulate matter (PM2.5) frequently present in the region during winter stagnation periods. An extended stagnation period occurred during the study. For the first four days of the event, skies were clear and the strong diel variation in air pollution patterns were consistent with the expected effects of strong low-level nighttime temperature inversions with moderate mixing during daylight hours. Later in the event a low-level cloud layer formed that persisted over the Yakima Valley for the next seven days while regional conditions remained stagnant. Coincident with the onset of cloud, the levels of all measured primary pollutants, including CO2, CO, NOx, particle number concentration, and black carbon, dropped dramatically and remained low with negligible diel variation for as long as the cloud layer was present. The observed patterns for these air pollutants are consistent with decreased stability and enhanced mixing associated with the cloud-topped boundary layer. Interestingly, levels of secondary pollutants, most notably particulate ammonium nitrate, did not exhibit the same decline. This difference may be due to shifts in the chemical production of secondary pollutants during cloudy conditions, or may merely reflect a further influence of mixing. The results imply that the best strategies for managing wintertime air quality during episodes of persistent cloud are likely different from those needed during clear-sky stagnation events.

Efforts to improve energy efficiency in homes and buildings have led to tighter structures. However, these changes can also produce negative consequences for indoor air quality and human health. One of the dramatic effects of climate change and weather is the increase in destructive wildfires, such as those experienced in the Pacific Northwest during the summer of 2015. The current article presents data for measurements at two houses during periods with and without high levels of wildfire smoke outdoors. For each house, indoor and outdoor pollutant measurements were obtained for ozone (O-3), fine particulate matter (PM2.5), and volatile organic compounds along with outdoor weather conditions and occupant activities including the use of windows and doors. The volatile organic compound measurements were obtained using a Proton Transfer Reaction Mass Spectrometer. Compounds monitored included acetonitrile (a biomass burning tracer), formaldehyde, acetaldehyde, methanol, acetone, benzene, toluene, and C2-alkylbenzenes (i.e.,sum of xylenes and ethylbenzene), C3-alkylbenzenes (i.e., sum of trimethylbenzene, ethyltoluene, and propylbenzene isomers), and C4-alkylbenzenes (i.e., sum of tetramethylbenzene and its isomers). A carbon dioxide tracer method was used to measure in situ ventilation rates, and blower door tests were also completed to determine standard ventilation rates. For smoky periods with elevated outdoor pollutant levels, penetration factors, defined as the ratio of indoor/outdoor concentrations were quite low. Penetration factors for PM2.5 were 11% for H2 and 15% for H3, except when windows or doors were open. The penetration factors for O-3 were also low at 24% for H2 and 5% for H3. Elevated indoor volatile organic compound levels were not typically associated with outdoor levels, but reflected significant indoor sources. During smoke events, acetonitrile, a biomass burning tracer compound, was elevated outdoors and indoors in both houses, and benzene was elevated outdoors and indoors in H3.

A multiple linear regression (MLR) chemical mass balance model was applied to data collected during an air quality field experiment in Yakima, WA, during January 2013 to determine the relative contribution of residential wood combustion (RWC) and vehicle emissions to ambient pollutant levels. Acetonitrile was used as a chemical tracer for wood burning and nitrogen oxides (NOx) as a chemical tracer for mobile sources. RWC was found to be a substantial source of gas phase air toxics in wintertime. The MLR model found RWC primarily responsible for emissions of formaldehyde (73%), acetaldehyde (69%), and black carbon (55%) and mobile sources primarily responsible for emissions of carbon monoxide (CO; 83%), toluene (81%), C2-alkylbenzenes (81%), and benzene (64%). When compared with the Environmental Protection Agency's 2011 winter emission inventory, the MLR results suggest that the contribution of RWC to CO emissions was underestimated in the inventory by a factor of 2. Emission ratios to NOx from the MLR model agreed to within 25% with wintertime emission ratios predicted from the Motor Vehicle Emissions Simulator (MOVES) 2010b emission model for Yakima County for all pollutants modeled except for CO, C-2-alkylbenzenes, and black carbon. The MLR model results suggest that MOVES was overpredicting mobile source emissions of CO relative to NOx by a factor of 1.33 and black carbon relative to NOx by about a factor of 3.

We analyzed the utility of repeated sestambi scans in patients with primary hyperparathyroidism and its effects on operative referral.We carried out a retrospective review of patients with primary hyperparathyroidism who underwent repeated sestambi scans exclusively within our health system between 1996–2015. Patient demographic, presentation, laboratory, imaging, operative, and pathologic data were reviewed. Univariate analysis with JMP Pro v12 was used to identify factors associated with conversion from an initial negative to a subsequent positive scan.After exclusion criteria (including reoperations), we identified 49 patients in whom 59% (n = 29) of subsequent scans remained negative and 41% (n = 20) converted to positive. Factors associated with an initial negative to a subsequent positive scan included classic presentation and second scans with iodine subtraction (P = .04). Nonsurgeons were less likely to order an iodine-subtraction scan (P < .05). Fewer patients with negative imaging were referred to surgery (33% vs 100%, P = .005), and median time to operation after the first negative scan was 25 months (range 1.4–119). Surgeon-performed ultrasonography had greater sensitivity and positive predictive value than repeated sestamibi scans.Negative sestambi scans decreased and delayed operative referral. Consequently, we identified several process improvement initiatives, including education regarding superior institutional imaging. Combining all findings, we created an algorithm for evaluating patients with primary hyperparathyroidism after initially negative sestamibi scans, which incorporates surgeon-performed ultrasonography.

This work reports uptake coefficients and by-product yields of ozone precursors onto two photocatalytic paving materials (asphalt and concrete) treated with a commercial TiO2 surface application product. The experimental approach used a continuously stirred tank reactor (CSTR) and allowed for testing large samples with the same surface morphology encountered with real urban surfaces. The measured uptake coefficient (gamma(geo)) and surface resistances are useful for parametrizing dry deposition velocities in air quality model evaluation of the impact of photoactive surfaces on urban air chemistry. At 46% relative humidity, the surface resistance to NO uptake was 1 s cm(-1) for concrete and 2 s cm(-1) for a freshly coated older roadway asphalt sample. HONO and NO2 were detected as side products from NO uptake to asphalt, with NO2 molar yields on the order of 20% and HONO molar yields ranging between 14 and 33%. For concrete samples, the NO2 molar yields increased with the increase of water vapor, ranging from 1% to 35% and HONO was not detected as a by-product. Uptake of monoaromatic VOCs to the asphalt sample set displayed a dependence on the compound vapor pressure, and was influenced by competitive adsorption from less volatile VOCs. Formaldehyde and acetaldehyde were detected as byproducts, with molar yields ranging from 5 to 32%. (C) 2016 Elsevier Ltd. All rights reserved.

The northern Great Lakes region of North America is a large, relatively pristine area. To date, there has only been limited study of the atmospheric aerosol in this region. During summer 2009, a detailed characterization of the atmospheric aerosol was conducted at the University of Michigan Biological Station (UMBS) as part of the Community Atmosphere-Biosphere Interactions Experiment (CABINEX). Measurements included particle size distribution, water-soluble composition, and CCN activity. Aerosol properties were strongly dependent on the origin of the air masses reaching the site. For similar to 60% of the study period, air was transported from sparsely populated regions to the northwest. During these times aerosol loadings were low, with mean number and volume concentrations of 1630 cm(-3) and 1.91 mu m(3) cm(-3), respectively. The aerosol during clean periods was dominated by organics, and exhibited low hygroscopicities (mean K = 0.18 at s = 0.3%). When air was from more populated regions to the east and south (similar to 29% of the time), aerosol properties reflected a stronger anthropogenic influence, with 85% greater particle number concentrations, 2.5 times greater aerosol volume, six times more sulfate mass, and increased hygroscopicity (mean K = 0.24 at s = 0.3%). These trends are have the potential to influence forest-atmosphere interactions and should be targeted for future study. (C) 2015 Elsevier Ltd. All rights reserved.