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Complex refractive indices in the near-ultraviolet spectral region of biogenic secondary organic aerosol aged with ammonia

J. M. Flores a, R. A. Washenfelder bc, G. Adler a, H. J. Lee d, L. Segev a, J. Laskin e, A. Laskin f, S. A. Nizkorodov d, S. S. Brown c and Y. Rudich *a
aDepartment of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel. E-mail: yinon.rudich@weizmann.ac.il
bCooperative Institute for Research in Environmental Sciences, University of Colorado, 216 UCB, Boulder, CO 80309, USA
cChemical Sciences Division, Earth System Research Laboratory, National Oceanic and Atmospheric Administration, 325 Broadway, Boulder, CO 80305, USA
dDepartment of Chemistry, University of California, Irvine, CA 92697, USA
ePhysical Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
fEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99352, USA

Received 9th March 2014 , Accepted 10th April 2014

First published on 10th April 2014


Abstract

Atmospheric absorption by brown carbon aerosol may play an important role in global radiative forcing. Brown carbon arises from both primary and secondary sources, but the mechanisms and reactions of the latter are highly uncertain. One proposed mechanism is the reaction of ammonia or amino acids with carbonyl products in secondary organic aerosol (SOA). We generated SOA in situ by reacting biogenic alkenes (α-pinene, limonene, and α-humulene) with excess ozone, humidifying the resulting aerosol, and reacting the humidified aerosol with gaseous ammonia. We determined the complex refractive indices (RI) in the 360–420 nm range for these aerosols using broadband cavity enhanced spectroscopy (BBCES). The average real part (n) of the measured spectral range of the NH3-aged α-pinene SOA increased from n = 1.50 (±0.01) for the unreacted SOA to n = 1.57 (±0.01) after 1.5 h of exposure to 1.9 ppm NH3, whereas the imaginary component (k) remained below image file: c4cp01009d-t1.tif. For the limonene and α-humulene SOA the real part did not change significantly, and we observed a small change in the imaginary component of the RI. The imaginary component increased from k = 0.000 to an average k = 0.029 (±0.021) for α-humulene SOA, and from image file: c4cp01009d-t2.tif to an average k = 0.032 (±0.019) for limonene SOA after 1.5 h of exposure to 1.3 and 1.9 ppm of NH3, respectively. Collected filter samples of the aged and unreacted α-pinene SOA and limonene SOA were analyzed off-line by nanospray desorption electrospray ionization high resolution mass spectrometry (nano-DESI/HR-MS), and in situ using a Time-of-Flight Aerosol Mass Spectrometer (ToF-AMS), confirming that the SOA reacted and that various nitrogen-containing reaction products formed. If we assume that NH3 aging reactions scale linearly with time and concentration, which will not necessarily be the case in the atmosphere, then a 1.5 h reaction with 1 ppm NH3 in the laboratory is equivalent to 24 h reaction with 63 ppbv NH3, indicating that the observed aerosol absorption will be limited to atmospheric regions with high NH3 concentrations.


1. Introduction

Atmospheric aerosols play an important role in the Earth's radiative budget by absorbing and scattering solar radiation and by influencing cloud properties.1 Light-absorbing aerosols (including black carbon, mineral dust, and brown carbon) are recognized to have a potentially important role in climate radiative forcing.2–7 Atmospheric brown carbon (BrC) refers to light-absorbing organic particulate matter, which can be generated both from primary sources (e.g., combustion, biomass burning, soil humics, bioaerosols) and from secondary organic reactions (e.g., particle or aqueous-phase reactions).8 The interest and climatic importance of BrC aerosol are due to the strong dependence of its absorption on its composition, the complexity of its production mechanisms, and the poor constraints on its contribution to radiative forcing.6,8–14 Only recently, studies have shown that brown carbon aerosol may account for 10 to 50% of the total light absorption in the atmosphere, snow, and sea ice.3–5,11,15–18

Primary emissions of BrC have been observed in wildfire events,6 residential coal combustion,14 and release of biological aerosols (for example, fungi, plant debris, and humic matter).19 In addition to primary emissions, BrC compounds may occur in secondary organic aerosol (SOA) consisting of high molecular weight and multifunctional species, such as humic-like substances, organonitrates, and organosulfates. The principal precursors, mechanisms, and products in the formation of secondary BrC are poorly known, and different reactions and mechanisms have been proposed to explain the light absorption by secondary organic aerosol:

(1) Reaction of ammonia (NH3) or amino acids with secondary organic aerosol that contains carbonyl products.20–23 This category of reactions may further include aqueous reactions of glyoxal and methylglyoxal with ammonium sulfate,24–28 aqueous reactions between glyoxal and amino acids,24,26,29 and gas-to-particle uptake of glyoxal by deliquesced AS and amino acid-containing aerosol.30–33 A proposed mechanism for the ammonia reaction with carbonyls starts with conversion of protonated carbonyls into primary imines and amines (R1a), which then react with additional carbonyls to produce more stable secondary imines (R1b) and heterocyclic (R1c) nitrogen containing compounds. The products of these reactions may continue to react with unreacted carbonyl groups yielding higher molecular weight molecules with an extended network of conjugated bonds.21

 
image file: c4cp01009d-u1.tif(R1a)
 
image file: c4cp01009d-u2.tif(R1b)
 
image file: c4cp01009d-u3.tif(R1c)

(2) Acid-catalyzed aldol condensation of volatile aldehydes,34–41 which is only expected to be important under H2SO4 concentrations characteristic of stratospheric aerosols.

(3) Nitration of polycyclic aromatic hydrocarbons (PAH) leading to light absorbing nitro-PAH, and their derivatives such as nitrophenols.42–45

(4) Other proposed mechanisms such as reaction of OH radicals with aromatic hydroxyacids and phenols in cloud water,46–49 heterogeneous reactions of gas-phase isoprene on acidic aerosol particles,50 and aqueous photochemistry of pyruvic acid in the presence of common atmospheric electrolytes (e.g., SO42−, NH4+).51,52

The majority of the studies summarized above use bulk solution-phase reactions to simulate aerosol-aging mechanisms. It is critical to study this chemistry in situ by realistic aerosol size distributions, as bulk-phase reactions may be limited by the rate of transport of gaseous reactants and products in and out of the condensed phase. Furthermore, in situ measurements are necessary to evaluate the influence of aging mechanisms on aerosol optical properties as they may occur in the atmosphere. SOA optical extinction and refractive indices at selected wavelengths in the UV and visible spectral regions have been measured in the laboratory,53–63 with a few measurements throughout the visible spectrum.53,55,64 Recent advances in broadband cavity enhanced spectroscopy (BBCES) allow aerosol optical extinction, optical cross section, and the real (scattering) and imaginary (absorption) components of the refractive index to be determined as a function of wavelength.65–67 Here, we use the instrument described in Washenfelder et al. (2013)65 to measure optical properties in the near-UV spectral region of SOA formed by the reaction of biogenic alkenes with ozone, and by subsequent reaction with NH3.

Based on the study by Updyke et al. (2012)23 we select biogenic alkenes that form SOA that can undergo different degrees of “browning” (i.e., a visible change in color or measured absorption spectrum) upon exposure to NH3. In each case, we measure the aerosol optical extinction coefficient and cross section, and we use these quantities to retrieve the refractive index before and after SOA reactions with gas-phase NH3. We compare our results to the imaginary part of the refractive index determined by ultraviolet/visible (UV/Vis) absorption of solution-phase products, and assess the climatic importance using the “simple forcing efficiency” (SFE) defined by Bond and Bergstrom (2006).68

2. Experimental

2.1. Generation of NH3-aged biogenic SOA

The flow system for aerosol generation and aging is shown schematically in Fig. 1A and described in detail below. SOA was generated by ozonolysis of three different biogenic alkenes: α-pinene, limonene and α-humulene. The liquid volatile organic compound (VOC) was injected using a syringe pump at 0.7–4.1 μL h−1 into a N2 carrier gas flow of 0.4 volumetric liters per minute (vlpm). O3 was generated by passing 0.1 vlpm of moisture-free O2 through a commercial Double-Bore UV lamp (Jelight Company Inc., Irvine, CA, USA). The two flows were combined in a 10 L bulb, to give an initial VOC concentration of ∼10 parts per million by volume (ppmv) for the upper limit infusion rate from the syringe pump. The O3 mixing ratio was measured to be 90 (±10) ppm using a commercial O3 monitor (Model 1180, Dasibi Environmental Corp., Glendale, CA, USA). The ozone + VOC reaction took place under dark conditions. After the reaction bulb, an ozone denuder (Carulite 200; Carus Corp., Peru, IL, USA) removed the residual O3 from the sample flow. The SOA flow was then humidified to 85% relative humidity (RH) using a Nafion humidifier (PermaPure LLC, Toms River, NJ, USA) with a temperature-controlled bath. BrC formation upon exposure to NH3 has only been observed under humid conditions (RH ∼85%).21 The humidified SOA was introduced to a 30 L flow tube where it was combined with gaseous NH3 and allowed to react for 1.5 h. The SOA was then dried to <10% RH using a diffusion dryer and the residual NH3 was removed using silicon phosphate pellets (AS-200-08-E, Perma Pure LLC., Toms River, NJ, USA), before being size-selected using a differential mobility analyzer (DMA; Model 3081, TSI Inc., Shoreview, MN, USA). The size-selected aerosol was introduced to the two BBCES cells in series and finally counted using a condensation particle counter (CPC; Model 3775, TSI Inc., Shoreview, MN, USA). For measurements without NH3, the SOA was passed through the same setup without the addition of NH3 in the 30 L bulb. The reaction time in the bulb was sufficient to generate a stable aerosol population of VOC oxidation products, with the mode diameter typically near 200 nm and total mass concentrations of 1100 (±100) μg m−3.
image file: c4cp01009d-f1.tif
Fig. 1 (A) Schematic diagram of the experimental system for generating SOA from reaction of biogenic alkenes with ozone, followed by aging with NH3 gas. (B) The broadband cavity enhanced spectrometer, with channels for 360–390 and 390–420 nm. Relative humidity measurements are marked as “RH”. Acronyms: MFC – mass flow controller, DMA – differential mobility analyzer, BBCES – broadband cavity enhance spectrometer, CPC – condensation particle counter, TEC – thermoelectric cooler, LED – light emitting diode.

NH3 gas was generated by bubbling 0.005 to 0.04 vlpm N2 through a 10 mM NH4OH solution. The NH3 concentration was measured using an NH3 detector (Model TX-2460DP-D, Bionics Instrument Co. Ltd., Tokyo, Japan) before it entered the 30 L flow tube to react with the humidified SOA. To control the concentration of ammonia that was introduced into the flow tube, and to determine the residence time, a constant total flow of 0.3 vlpm was maintained in the flow tube throughout the experiments. By changing the N2 flow through the NH4OH solution, different NH3 concentrations were introduced while maintaining the same total flow in the system. The relative humidity of the NH3 flow varied between 70% at 0.005 vlpm and 86% at 0.04 vlpm, resulting in a relative humidity for the total aerosol flow of 85% ± 2%.

2.2. Broadband cavity enhanced extinction spectroscopy (BBCES)

The BBCES technique employs a broadband light source, a high-finesse optical cavity, a grating spectrometer and a multichannel detector to simultaneously determine optical extinction across a broad wavelength region.69 Initial measurements demonstrated its potential to measure the optical extinction of ambient aerosol,70–73 and recent studies have demonstrated how the technique may be combined with aerosol size-selection to determine aerosol extinction cross sections and refractive indices as a function of wavelength.63,65,67

The optical instrument used in this study consists of two channels to measure aerosol optical extinction from 360 to 390 nm and 390 to 420 nm, respectively. It is similar to the instrument described in detail in Washenfelder et al. (2013)65 and briefly summarized here. Fig. 1B shows a schematic of the BBCES system used in this study.

Light emitting diodes (LEDs) centered at 370.2 and 407.1 nm with measured optical power outputs of 0.210 W and 0.450 W (NCSU033A, Nichia Corp., Tokyo, Japan; LZ1-00UA05, LEDEngin Inc., San Jose, CA, USA) are temperature-controlled and powered by a constant-current power supply to achieve a stable optical power output. The output from each LED is collimated using a single F/1.2 fused silica lens into an optical cavity formed by two 2.5 cm, 1 m radius of curvature mirrors (Advanced Thin Films, Boulder, CO, USA). The measured mirror reflectivity for the two cavities was typically 0.9995 and 0.99994 at 370 and 407 nm, respectively. The light entering the cavity is optically filtered using bandpass filters (FGUV5 and FB400-40, Thorlabs, Newton, NJ, USA). After exiting each cavity, the light is directly collected using a 0.1 cm F/2 fiber collimator (74-UV, Ocean Optics, Dunedin, FL, USA) into one lead of a two-way 100 μm core HOH-UV-VIS fiber (SR-OPT-8015, Andor Techonology, Belfast, UK) which is linearly aligned along the input slit of the grating spectrometer.

Spectra were acquired using a 163 mm focal length Czerny-Turner spectrometer (Shamrock SR-163, Andor Technology, Belfast, UK) equipped with a charge coupled device (CCD) detector (DU920P-BU, Andor Technology, Belfast, UK) maintained at −50 °C. The installed 300 groove mm−1 (500 nm blaze) grating allows spectral measurements over the region 101–621 nm, although only a portion of that spectral region was used in these experiments. The spectrometer is temperature-controlled at 32.0 (±0.1) °C. Dark spectra were acquired using the input shutter (SR1-SHT-9003, Andor Technology, Belfast, UK) closed prior to each set of spectra. The wavelength calibration was determined using a Hg/Ar pen-ray lamp. The 100 μm fiber from each measurement channel illuminated separate vertical regions of the CCD, which were digitized to produce two spectra.

The general expression that relates the extinction coefficient by aerosols, α(λ) measured in cm−1, in an N2-filled cavity, to the change in intensity of the transmitted light is given by:

 
image file: c4cp01009d-t3.tif(1)
where RL is the ratio of the total length (d) to the filled length of the cavity, R(λ) is the mirror reflectivity, αRayleigh N2(λ) is the extinction coefficient due to Rayleigh scattering by N2, IN2(λ) is the spectrum (i.e., the wavelength-dependent intensity transmitted through the cavity and imaged to the CCD) of N2, and I(λ) is the spectrum with aerosol and N2 present.65 Using the particle number concentration (N) measured by the CPC, the optical extinction cross section, σ(λ) measured in cm2, at each wavelength can be calculated:
 
image file: c4cp01009d-t4.tif(2)

For spherical particles, the measurement of several diameters allows the retrieval of the complex refractive index at each wavelength by minimizing the expression

 
image file: c4cp01009d-t5.tif(3)
where NDp is the number of diameters measured and σext,calculated is the theoretical optical cross section calculated using Mie theory by varying the real (n) and imaginary (k) components of the complex refractive index (RI).65 We account for the contribution of multiply-charged particles by calculating the size distribution exiting the DMA for each diameter using DMA transfer theory74 and steady-state charge distribution approximation.75

2.3. Operational details for in situ generation and sampling

The aerosol generation, including VOC, O3, and NH3 flows, temperatures, and other components, were allowed to stabilize for at least 1 h prior to each set of measurements. A scanning mobility particle sizer (SMPS) was used to verify that the aerosol size distribution was stable prior to the measurements. After the aerosol size distribution stabilized, an SMPS scan was taken for multiple-charge correction while the BBCES reflectivity term in eqn (1) was determined by recording spectra with the cavity filled by He and N2 sequentially.70 Next, a zero-particle measurement was performed followed by measurements with a series of size selected particles, typically in the range of Dp = 200–450 nm in 50 nm increments. After the size-selection measurements, another zero-particle, reflectivity and size distribution measurement was performed. Measurements with polystyrene latex spheres (PSL) of known sizes were performed to evaluate the performance of the experimental setup either before or after each experiment.

2.4. UV/visible absorption spectroscopy

In addition to the in situ generation of aerosol and measurement of optical extinction described above, we used a UV/Vis spectrometer (Cary 100 UV-Vis, Agilent Technologies Inc., Santa Clara, CA, USA) to measure absorption by aerosols dissolved in aqueous solution. Besides the refractive index, another standard metric of aerosol absorption in the UV/Vis region is the mass absorption coefficient (MAC), given in units of m2 g−1:
 
image file: c4cp01009d-t6.tif(4)
where A(λ) is the base-10 absorbance measurement (unitless), C is the concentration of the liquid solution (g m−3), and b is the sample path length (m).76 The relationship between k and the MAC is
 
image file: c4cp01009d-t7.tif(5)
where ρmaterial is the density of the organic material.76 For our measurements, we assume a density of 1.4 g cm−3, which is a recommended value for biogenic SOA.77 UV/Vis absorption spectroscopy cannot be used to determine the real part of the refractive index. For an assumed density of 1.4 g cm−3 and a wavelength of 400 nm, a k value of 0.01 corresponds to MAC = 0.22 m2 g−1, while a k value of 0.05 corresponds to MAC = 1.12 m2 g−1.

2.5. Analysis of aerosol composition

We used two methods to determine the chemical composition of the in situ aerosol described above: Time-of-Flight Aerosol Mass Spectrometry (ToF-AMS) and nanospray Desorption Electrospray Ionization High Resolution Mass Spectrometry (nano-DESI/HR-MS).
ToF-AMS. For α-pinene and limonene, we generated SOA and aged the aerosol with 1 ppmv of NH3, as described in Section 2.1. We analyzed in situ both NH3-aged and unreacted α-pinene and limonene SOA using a ToF-AMS (Aerodyne Research, Inc., Billerica, MA, USA) connected directly to the experimental setup. A detailed description of the ToF-AMS can be found in DeCarlo et al. (2006).78 The Tof-AMS operated in the more sensitive V-mode ion path78 with the results presented here obtained using the mass spectrum (MS) mode (in which the ion signals are integrated over all particle sizes). Data analysis of the MS was done using Squirrel v.1.51H.
Nano-DESI/HR-MS. We collected filter (Whatman 2 μm PTFE 46.2 mm 7592-104, Whatman Inc., Florham Park, NJ, USA) samples of limonene SOA and α-pinene SOA, before and after aging by NH3. The filters were analyzed using a high-resolution LTQ-Orbitrap MS (Thermo Fisher, Bremen, Germany) equipped with a nano-DESI source,79,80 followed by assignment of molecular formulae to the observed peaks using the procedure described in Roach et al. (2011).81 The instrument was operated in the positive-ion mode with a resolving power of 100[thin space (1/6-em)]000 at m/z 400, and calibrated using a standard calibration mixture (Calibration mix MSCAL 5, Sigma-Aldrich Co. LLC, St. Louis, MO, USA). A voltage of 3–4 kV was applied between the capillary end and the mass spectrometer inlet to obtain a stable spray of charged droplets. The solvent (acetonitrile/water mixed at 70/30 volumetric ratio) was supplied at a 2–3 μL min−1 flow rate to maintain a stable nano-DESI probe on the sample surface.

2.6. Radiative impact

To estimate the direct radiative forcing in watts per gram, Bond and Bergstrom (2006)68 modified the forcing equation of Chylek and Wong (1995),82 to give a “simple forcing efficiency” (SFE, W g−1). We used the wavelength-dependent version76 to provide an estimate of the radiative impact of the aged SOA:
 
image file: c4cp01009d-t8.tif(6)
where dS(λ)/dλ is the solar irradiance, τatm is the atmospheric transmission, Fc is the cloud fraction (0.6), as is the surface albedo (average of 0.19), β is the backscatter fraction, and MSC is the mass scattering.

3. Results and discussion

3.1. Refractive indices of NH3-aged biogenic SOA measured in situ by BBCES

The reaction of each biogenic VOC with O3 for 20 min produced stable SOA size distributions. During the 1.5 h reaction of these aerosols with NH3, this size distribution shifted to larger diameters and the number of particles decreased, which can be attributed to coagulation and loss of the particles to the walls of the flow tube.

The retrieved complex refractive indices are shown in Fig. 2 as a function of wavelength between 360 and 420 nm for the three different SOA. The biogenic alkenes are arranged in the order of increasing absorption for their NH3-aged SOA, based on the study of Updyke et al. (2012).23 Refractive indices of α-pinene SOA and its aging at three NH3 concentrations (0.3 ppm, 1.0 ppm, and 1.9 ppm) are shown in Fig. 2A. There is no detectable absorption for the α-pinene SOA, with an average imaginary component over the 360–420 nm range of image file: c4cp01009d-t9.tif even after 1.5 h of aging with 1.9 ppm of NH3. However, there is an increase in the real part of the RI, from an average n = 1.50 (±0.01) to n = 1.53 (±0.02) with the addition of 0.3 ppm NH3, and a greater increase up to an average n = 1.57 (±0.01) with 1.9 ppmv NH3. The increase might be attributed to an increase in the density of the aerosol.63,83 The α-humulene SOA in Fig. 2B shows no increase in the real part of the RI, but the imaginary component increases to an average value of k = 0.029 (±0.021) at NH3 concentration greater than 1.0 ppm. The limonene SOA in Fig. 2C similarly shows that the real part of the RI remains constant at all NH3 concentrations, and there is a small increase in the imaginary component of the RI (k = 0.032 (±0.019)) when the aerosol is aged with 1.9 ppm NH3. The refractive indices of all of these SOA show a wavelength-dependent real part between 1.47 and 1.59 and an imaginary part less than 0.07. The error bars in Fig. 2 were calculated by scaling the measured extinction cross sections by the total measurement uncertainty (<4%).65


image file: c4cp01009d-f2.tif
Fig. 2 Retrieved complex refractive indices as a function of wavelength for the unreacted biogenic SOA (black circles) and NH3-aged biogenic SOA (red triangles, green inverted triangles, and blue diamonds) for (A) α-pinene, (B) α-humulene, and (C) limonene. The legend indicates the NH3 concentration (ppmv) added. For all experiments the aerosols were humidified to 85% RH before being mixed with NH3.

The BBCES measurements and retrieved refractive indices indicated minor or no detectable absorption by the in situ NH3-aged aerosol with [NH3] < 1.0 ppm in the 360–420 nm range. To understand this result, we undertook a series of additional experiments described in Sections 3.2–3.4. First, we used the BBCES to measure refractive indices of atomized Suwannee River Fulvic Acid (SRFA) and atomized NH3-aged limonene SOA samples generated in a different laboratory (Section 3.2). Second, we used UV/Vis absorption spectroscopy to determine the absorption of SRFA and NH3-aged aerosol in aqueous solution (Section 3.3). Finally, we analyzed the chemical composition of the NH3-aged aerosol generated in our laboratory using nano-DESI/HR-MS and ToF-AMS to verify that the expected chemical products had been formed.

3.2. Refractive indices of atomized samples measured by BBCES

We measured extinction cross sections of aerosolized SRFA material (1S101F International Humic Substances Society, Saint Paul, MN, USA), which is often used as a proxy for brown carbon, to verify that there were no errors with the instrumental method or the refractive index retrieval, and to confirm the small absorption values determined for the NH3-aged SOA. The aerosol was generated by atomizing an aqueous SRFA solution followed by drying and size selection. The retrieved RI values are shown in Fig. 3A, with a clearly-detectable absorption having an average retrieved value of k = 0.046 (±0.010) in the 360–420 nm spectral region, consistent with previous work.65
image file: c4cp01009d-f3.tif
Fig. 3 (A) Retrieved complex refractive indices as a function of wavelength from BBCES size selection measurements for Suwannee River fulvic acid aerosols (black circles) and for NH3-aged limonene SOA on a filter, extracted into liquid and atomized (blue triangles). (B) Mass absorption coefficient (MAC) for Suwannee River fulvic acid (dotted black line), NH3-aged limonene SOA on a filter (blue dashed line), limonene SOA aged in situ and consequently extracted from the filter sample (green line) and from Updyke et al.23 (red dash-dotted line). The shaded area in each trace shows the standard deviation of three different solution concentration measurements using a UV-Vis spectrometer. The orange area indicates the measurement range of the BBCES. (C) Calculated imaginary part from the MAC measurements in panel B (assuming a particle density of 1.4 g cm−3) as a function of wavelength for the NH3-aged limonene SOA (same color legend as in panel B), compared to the retrieved k values of limonene SOA aged with [NH3] = 1.0 ppm (black circles) and [NH3] = 1.9 ppm (orange squares) and the atomized sample (blue triangles; same as in panel A) from BBCES size selection measurements.

We measured an atomized aerosol from a filter sample of NH3-aged limonene SOA that was generated at the University of California, Irvine by bubbling O3 gas through an acetonitrile solution containing limonene at room temperature until all double bonds were consumed. Then an aqueous solution of ammonium sulfate was added, and the mixture was evaporated to produce an orange-colored residue. The organic fraction was extracted with acetonitrile and dried for storage and shipment. Oxidation of limonene in a non-participating solvent such as acetonitrile is expected to produce a similar set of products as in the gas-phase oxidation of limonene. The optical properties of the resulting SOA material were slightly different to that of limonene SOA aged by the method described in Updyke et al. (2012).23 The UC Irvine filter sample was dissolved in acetonitrile and water, and atomized for measurement with the BBCES using the size-selection procedure and RI retrieval. Fig. 3A shows that for the aerosol there was no detectable absorption in the 360–420 nm range, with a retrieved k value equal to zero image file: c4cp01009d-t10.tif within experimental uncertainties, consistent with the results for the in situ NH3-aged limonene SOA with lower NH3 concentrations generated in our laboratory.

3.3. Refractive indices of NH3-aged biogenic SOA measured by UV/Vis spectroscopy

The atomization of the filter samples described in Section 3.2 showed that the NH3-aged biogenic SOA was much less absorbing than SRFA at 360–420 nm. We used UV/Vis absorption spectroscopy to measure and compare the absorption of three aqueous samples: SRFA, NH3-aged limonene SOA generated at UC Irvine, and NH3-aged limonene SOA generated using the flow tube system shown in Fig. 1 with ∼1 ppmv NH3 and collected on a filter for approximately 6 h.

For the UV/Vis spectra, the SRFA was dissolved in nanopure water, UC Irvine NH3-aged limonene SOA was dissolved in acetronitrile (CH3CN), and the Weizmann Institute NH3-aged limonene SOA in nano-pure water and methanol. We prepared three mass concentrations for each of the three materials. Fig. 3B shows that both filter samples of NH3-aged limonene SOA are an order of magnitude less absorbing than SRFA. The NH3-aged limonene SOA from Updyke et al. (2012)23 (see their Fig. 4) is also overlaid for comparison. It is also an order of magnitude less absorbing than SRFA in the 360–420 nm range and 31% less absorbing at the peak seen around 500 nm. This is consistent with our BBCES in situ measurements of the atomized filter samples which showed that SRFA was more strongly absorbing than NH3-aged limonene SOA (Section 3.2) and with the refractive index retrievals for the in situ NH3-aged SOA. To directly compare the results from the UV-Vis and the atomized and in situ BBCES measurements of the NH3-aged limonene SOA, Fig. 3C shows calculated k values from the MAC values shown in Fig. 3B (using eqn (5) and assuming a ρmaterial = 1.4 g cm−3), and the retrieved imaginary parts from the atomized and in situ BBCES measurements. Fig. 3C further shows the consistency of the UV-Vis and our BBCES in situ measurements. Based on the in situ BBCES measurements and the UV/Vis spectroscopy, we conclude that the NH3-aged biogenic samples, although light orange in color, are substantially less absorbing than SRFA when normalized per unit mass of the material, in the measured wavelength region and under our experimental conditions.

Filter samples of α-pinene and limonene SOA before and after NH3-aging were collected as described above and also examined visually. Filter samples of α-pinene SOA appeared white, with or without NH3-aging. Filter samples of unreacted limonene SOA also appeared white, while limonene SOA that was exposed in situ to ∼1 ppmv NH3 for 1.5 h was light orange in color, confirming that the NH3 exposure caused visible changes in the optical properties of the aerosol. The light orange color does not arise from absorption in the 360–420 nm range, and is likely the result of absorption near 500 nm.

3.4. Composition of NH3-aged biogenic SOA measured by nano-DESI/HR-MS and ToF-AMS

Nano-DESI-HRMS analysis. The chemical aging of limonene SOA and α-pinene SOA by NH3 has been previously reported.21–23,84Fig. 4 shows a histogram of the number of N and O atoms from the identified peaks in the nano-DESI/HR-MS spectra of the α-pinene SOA and limonene SOA with and without aging by NH3. In Fig. 4A and B, the unreacted α-pinene SOA and limonene SOA spectra show that >96% of the fragments contain zero N atoms and <4% of the fragments contain one N atom. The species with one N atom likely originate from trace amounts of NH3 emitted by the walls of the flow tube or are introduced during SOA sample handling from ammonia in ambient air. The unreacted SOA is mainly composed of organic molecules containing C, H, and O atoms. In contrast, the NH3-aged samples show a significant increase in the fraction of organic constituents with one or two N atoms (1N and 2N, respectively). For NH3-aged α-pinene SOA, the sample contained 26% and 2% of 1N and 2N species, respectively, while the NH3-aged limonene SOA contained 12% and 5% of 1N and 2N species. The increase in nitrogen-containing species is accompanied by a shift in the distribution of oxygen atom containing species toward molecules with a lower number of oxygen atoms. The change in the distribution of the number of N and O atoms for the limonene SOA observed in this study is similar to that of Laskin et al. (2010)21 observed for limonene SOA aged with NH3 on a filter.
image file: c4cp01009d-f4.tif
Fig. 4 Distribution of the number of N atoms (top panels) and O atoms (bottom panels) from the identified peaks in the nano-DESI/HR-MS spectra of unreacted (black bars) and NH3-aged (orange bars) α-pinene SOA (left panels) and limonene SOA (right panels). The picture insets in panel B are the limonene filter samples.

Laskin et al. (2010) proposed that condensation reactions associated with a substantial increase in the Double-Bond-Equivalent (DBE) values of neutral molecules are responsible for the formation of light-absorbing products. DBE values were determined from the elemental formulae of the identified peaks as described by Laskin et al. (2010)21 (see their eqn (3)). Fig. 5 compares the DBE vs. m/z for the aged and unreacted α-pinene SOA and limonene SOA. The DBE values of the unreacted and aged α-pinene SOA samples show a small difference between them; whereas the DBE values for the aged limonene SOA show a more significant difference in the 250–550 m/z range from the unreacted limonene SOA and both α-pinene SOA samples. These highly conjugated species also appeared in the same range of m/z in the Laskin et al. (2010)21 limonene SOA samples, and are potentially responsible for the orange color observed in the aged limonene SOA filter.


image file: c4cp01009d-f5.tif
Fig. 5 DBE dependence on the m/z values for all peaks in the nano-DESI-HRMS spectra. Comparison of the unreacted (black) and aged (orange) α-pinene SOA (top) and limonene SOA (bottom). The size of the points is proportional to the normalized peak intensity.
ToF-AMS analysis. Using a ToF-AMS, we measured the mass spectra of α-pinene and limonene SOA, with and without NH3-aging. Based on the Updyke et al. (2012)23 study and the visual observations of the filter samples, we expect to see evidence of chemical changes in the NH3-aged limonene SOA and have focused our analysis on that aerosol. Due to ion fragmentation inherent to the AMS, it is very difficult if at all possible to unambiguously assign molecular formulas to peaks with m/z > 100. The assigned formulae in this analysis are the best estimates based on the information from the nano-DESI/HR-MS data.

It has been shown that ketoaldehydes limononaldehyde (LA) and ketolimononaldehyde (KLA) are abundant and reactive products obtained from the ozonolysis of limonene.85 The first-generation products are semi-volatile (exist mainly in the gas phase), while the second-generation products are less volatile and are predominantly found in the aerosol phase. Nguyen et al. (2013)84 reported that the unique molecular structure of KLA produces visible-light-absorbing compounds when exposed to ammonia. The KLA–NH3 reactions produce water-soluble, hydrolysis-resilient chromophores with high mass absorption coefficients, while the first generation ozonolysis product in the oxidation of limonene, limononaldehyde (LA,C10H16O2), does not produce light-absorbing compounds following the reaction with ammonia. For this reason we only focus on the KLA products. Fig. 6 shows a mass spectrum normalized to the total organics in the m/z range between 168 to 360 for the unreacted limonene SOA and the aged limonene SOA. The second-generation ozonolysis product of limonene (C10H16), ketolimononaldehyde (KLA, C9H14O3, m/z = 170), can be seen only in the unreacted limonene SOA. The chemistry that produces brown carbon is diverse, with structures of the chromophoric compounds that may be similarly varied in nature, and as mentioned by Nguyen et al. (2013),84 it would not be possible to predict the occurrence of these reactions from average properties of aerosols alone, such as the O/C ratio, which is frequently used in correlating physical properties to the average composition. However, Nguyen et al. (2013)84 also reported that the KLA browning reaction generates a diverse mixture of light-absorbing compounds, with the majority of the observable products containing 1–4 units of KLA and 0–2 nitrogen atoms. An example of such a product found after the reaction containing two nitrogen atoms (C9H14O3N2) is shown in Fig. 6. The unique reaction products with high DBE detected after the reaction are also shown in Fig. 6. Examples of such products include C20H24O2N2 and C21H26O3N2 which have a DBE of 10, and C20H26O4N2 which has a DBE of 9. These examples show that high DBE values appeared in both the ToF-AMS and nano-DESI/HR-MS measurements only after the reaction with ammonia.


image file: c4cp01009d-f6.tif
Fig. 6 Mass spectra normalized to the total organics for the unreacted (black, top panel) and the NH3-aged limonene SOA (orange, bottom panel) measured by the ToF-AMS. Ketolimononaldehyde (KLA; a main product of limonene ozonolysis) is identified. Reaction products with high DBE that were observed in the nano-DESI/HR-MS filter analysis are also identified.

3.5. Comparison of alkene + O3 SOA without NH3-aging to literature refractive index values

Recently, there have been an increasing number of studies that retrieved complex refractive indices of SOA generated from monoterpenes.53,55–61,64,86,87 They are summarized in Table 1. Among these studies, only a few gave values in the near-UV spectral region (marked in bold in Table 1). For example, for SOA generated from the ozonolysis of α-pinene, Schnaiter et al. (2003)53 reported a constant value of n = 1.44 for λ > 350 nm determined by measuring the wavelength dependence of the SOA scattering and extinction. Using cavity ring down spectroscopy (CRDS), Nakayama et al. (2010)57 reported a value of n = 1.458 (±0.019) at λ = 355 nm, and Nakayama et al. (2012)59 found values between n = 1.475 (±0.022) and n = 1.463 (±0.019) at λ = 405 nm. Recently, Liu et al. (2013)64 using variable angle spectroscopic ellipsometry reported real part values of n = 1.517 (±0.003) and n = 1.509 (±0.003) for λ = 360 nm and λ = 420 nm, respectively. The imaginary components they found in this range were below k < 10−4. Using a potential aerosol mass (PAM) flow tube reactor to form SOA by homogeneous nucleation and condensation following OH oxidation of α-pinene at different oxidation levels, Lambe et al. (2013)87 found RI values between n = 1.51 (±0.02) and n = 1.45 (±0.04) with imaginary part values of k < 0.001 at λ = 405 nm, using a CRDS and a photo-acoustic sensor. The values retrieved in our study using BBCES vary from n = 1.48 (±0.03) at λ = 420 nm to n = 1.52 (±0.02) at λ = 360 nm. These values are consistent with the values reported previously and show a small spectral dependence with increasing value of the real part of the refractive index with decreasing wavelength.
Table 1 Complex refractive index values of SOA from monoterpenes
Complex refractive index VOC SOA formation Wavelength (nm) Ref.
Real part (n) Imaginary part (k)
The near-UV measurements are marked in bold.
1.44 NA α-Pinene >350 Schneiter et al. (2003) 53
1.45 NA α-Pinene Visible Wex et al. (2009)55
1.4–1.5 NA α-Pinene and β-pinene 670 Kim et al. (2010)56
1.458 (±0.019) image file: c4cp01009d-t11.tif α-Pinene 355 Nakayama et al. (2010) 57
1.411 (±0.021) image file: c4cp01009d-t12.tif α-Pinene 532 Nakayama et al. (2010)57
1.49–1.51 0 α-Pinene 532 Redmond and Thompson (2011)62
1.475 (±0.022)–1.463 (±0.019) image file: c4cp01009d-t13.tif α-Pinene 405 Nakayama et al. (2012) 59
1.476 (±0.021)–1.466 (±0.02) image file: c4cp01009d-t14.tif α-Pinene Ozonolysis 532 Nakayama et al. (2012)59
1.410 (±0.028)–1.400 (±0.032) image file: c4cp01009d-t15.tif α-Pinene 781 Nakayama et al. (2012)59
1.579–1.491 (1.516–1.509) <0.01 (<10−4) α-Pinene 200–1200 (360–420) Liu et al. (2013) 64
1.590–1.492 (1.520–1.512) <0.01 (<10−4) Limonene 200–1200 (360–420) Liu et al. (2013) 64
1.52 (±0.02)–1.48 (±0.03) image file: c4cp01009d-t16.tif α-Pinene 360–420 This study
1.57 (±0.02)–1.52 (±0.03) image file: c4cp01009d-t17.tif Limonene 360–420 This study
1.48 (±0.02)–1.45 (±0.03) image file: c4cp01009d-t18.tif α-Humulene 360–420 This study
1.42 (±0.02) NA α-Pinene 670 Barkey et al. (2007)94
1.56 (±0.04) NA α-Pinene Photo-oxidation in 450 Yu et al. (2008)54
1.51 (±0.03) NA α-Pinene the presence of NOx 550 Yu et al. (2008)54
1.46 (±0.03) NA α-Pinene 700 Yu et al. (2008)54
1.4–1.53 NA α-Pinene 670 Kim et al. (2010)56
1.38–1.53 NA β-Pinene 670 Kim et al. (2010)56
1.53 (±0.08) image file: c4cp01009d-t19.tif Emitted from Holm Oak Photo-oxidation 532 Lang-Yona et al. (2010)61
1.498 (±0.022) image file: c4cp01009d-t20.tif α-Pinene 405 Nakayama et al. (2012) 59
1.458 (±0.021) image file: c4cp01009d-t21.tif α-Pinene 532 Nakayama et al. (2012)59
1.422 (±0.028) image file: c4cp01009d-t22.tif α-Pinene 781 Nakayama et al. (2012)59
1.51 (±0.02)–1.45 (±0.04) <0.001 α-Pinene OH oxidation 405 Lambe et al. (2013) 87
1.511 (±0.011)–1.485 (±0.010) 0 Mixture of α-pinene and limonene Ozonolysis and OH oxidation 360–420 Flores et al. (2014) 63


For SOA generated from the ozonolysis of limonene, we could only find one recent study that gives the RI in the near UV spectral region. Liu et al. (2013)64 measured real parts between 1.520 (±0.003) at λ = 360 nm and 1.512 (±0.003) at λ = 420 nm and imaginary parts below <10−4. Recently, Flores et al. (2014)63 measured the RI of SOA formed by the ozonolysis of a 1[thin space (1/6-em)]:[thin space (1/6-em)]1 mixture of α-pinene and limonene in the SAPHIR chamber in Jülich, Germany, using BBCES. They found values varying from n = 1.511 (±0.011) at λ = 360 nm to 1.485 (±0.010) at λ = 420 nm and no detectable absorption. In the visible range of the spectrum, Kim and Paulson (2013)86 measured the RI at λ = 532 nm for the ozonolysis of limonene and found values for the real part of the RI varying from n = 1.4 to 1.5.

For α-humulene we could not find any studies that give the RI in the near UV spectral region to compare with our measurements.

3.6. Atmospheric implications for the measured refractive indices of NH3-aged biogenic SOA

The organic aerosol aging experiments described here use biogenic VOC concentrations of 10 ppmv and NH3 concentrations between 0.3 and 1.9 ppmv. Although these mixing ratios are high, relative to ambient values, it has been shown that the chemical composition of limonene SOA formed at high reagent concentrations in a flow tube is similar to that formed with <0.1 ppm mixing ratios in a smog chamber.88 Furthermore, Kourtchev et al. (2014)89 reported that SOA formed in an atmospheric simulation chamber by the ozonolysis of α-pinene, represents reasonably well the overall composition of ambient samples obtained from a boreal forest. Ammonia represents the primary form of reactive nitrogen in the atmosphere, with emissions of 45–85 Tg N yr−1 estimated in 2008.90 Summertime measurements of ambient NH3 in southern and central California in 2010 ranged from 10 to 100 ppbv, with values up to 250 ppbv downwind from confined animal dairy facilities.91 Satellite measurements of NH3 in 2008 identify 26 additional global hotspots with annually-averaged columns greater than 0.5 mg m−2 (equivalent to 0.7 ppbv for a 1000 m planetary boundary layer).92 If we assume that the NH3 aging reactions may scale linearly with time and concentration (an assumption that needs verification), then 1.5 h reaction with 1 ppm NH3 would be equivalent to 24 h reaction with 63 ppbv NH3, indicating that the laboratory measurements explore the full range of atmospherically-relevant NH3 gas-phase concentrations.

Table 2 summarizes MAC and k values from different field and laboratory studies reported in the literature. The absorption values measured here for NH3-aged aerosol are similar in magnitude to these values. Besides the Lack et al. (2012)6 study, our values fall at the lower end of the absorption in the near ultraviolet spectral region. These differences might come from the fact that we do not know what parts of the ambient measurements are aged biogenic SOA and which are primary pollution or mineral dust. Here we considered only biogenic SOA generated from the reaction of biogenic alkenes with O3 and its subsequent browning by NH3. The low k values (k < 0.01 for all NH3 concentrations less than 1 ppm) are generally consistent with the small MAC and k values observed for brown carbon in the atmosphere.

Table 2 Values of MAC and imaginary part values for different field and laboratory studies
MAC (m2 g−1) Imaginary part (k) Wavelength (nm) SOA Ref.
a Calculated assuming a ρmaterial = 1.4 g cm−3. b Calculated at λ = 500 nm. c Measured substance with the greatest increase in MAC from naphthalene, guaiacol, tricycle[5.2.102,6]-decane, and α-pinene. d For [NH3] < 1 ppm.
5–0 0.19–0a 350–700 Biomass combustion Kirchstetter et al. (2004)10
8–0 0.27–0a 300–700 Combustion Sun et al. (2007)96
10–0 0.238–0 300–500 Organic carbon (Mexico City) Barnard et al. (2008)97
2.8a 0.11 (±0.02) 355 Organic soluble from diesel soot Adler et al. (2010)98
1.7a 0.07 (±0.01) 355 Water-soluble from diesel soot Adler et al. (2010)98
0.77 0.031a 365 Water-soluble (Atlanta and Los Angeles) Zhang et al. (2011)13
0.19 0.008a 365 Primary BrC (Atlanta and Los Angeles) Zhang et al. (2011)13
0.01–1 0.0006–0.040a,b Near 500 Primary BrC Updyke et al. (2012)23 and references in their Table 2
0.0002a 0.007 (±0.005) 404 Forest fire (Boulder) Lack et al. (2012)6
0 0 532 Forest fire (Boulder) Lack et al. (2012)6
0–0.02 0–0.001 405 OH oxidation of α-pinene Lambe et al. (2013)87
0.02–0.09 0.001–0.0035 405 OH oxidation naphtalenec Lambe et al. (2013)87
<0.25a <0.01d 360–420 Ozonolysis of α-pinene, limonene and α-humulene This study


To test the impact from the greatest change in the imaginary part of the retrieved RI values on aerosol optical properties and radiative forcing at the Earth's surface, we use the “simple forcing efficiency” proposed by Bond and Bergstrom (2006).68 The calculation of the SFE is a simple calculation to determine atmospheric importance,76 while a full radiative transfer model is needed to accurately determine forcing efficiency. For these calculations, we assume an average earth surface albedo of 0.19, a density of ρ = 1.4 g cm−3, and a median aerosol diameter of 150 nm for the Mie calculations. Two SFE calculations were done, for each calculation we assume a constant n value of 1.50, and for the values of k we used k = 0.0 and k = 0.05 (the upper bound from the average change in k observed in the α-humulene and limonene SOA). These assumptions were made to obtain the maximal change in the forcing efficiency, since the k value ought to be wavelength dependent over the 360–910 nm range.

Fig. 7 shows the SFE for the two cases for wavelengths between 360 and 910 nm. The integrated forcing for the m = 1.5 + 0.0i case (black line) is −28 W g−1, and for the m = 1.5 + 0.05i case is −9.6 W g−1. These observed changes in the refractive index due to aging by NH3 indicate that the cooling effect by the aerosol can decrease by a factor of three. This drastic change may only occur where NH3 concentrations reach levels >1 ppm, as has been observed in forest fire plumes,93 or where aerosol is exposed to more moderate levels of NH3 (∼60 ppbv) for 24 h.


image file: c4cp01009d-f7.tif
Fig. 7 Simple forcing efficiency calculated assuming a constant real part of n = 1.5 and two different imaginary parts: k = 0.0 (black line) and k = 0.05 (red dashed line).

4. Summary and conclusions

We measured the change in the complex refractive index in the 360–420 nm wavelength range for SOA formed by the ozonolysis of α-pinene, limonene, and α-humulene (three biogenic VOC precursors), when exposed to different concentrations of NH3. For the α-pinene SOA there was a change in the real part of the RI from an average n = 1.50 (±0.01) for the unreacted SOA to n = 1.57 (±0.01) after a 1.5 h exposure to 1.9 ppm NH3. For limonene SOA and α-humulene SOA, we observed a small change in the imaginary component of the RI. The imaginary component increased to an average k = 0.029 (±0.021) for α-humulene SOA, and to an average k = 0.032 (±0.019) for limonene SOA after a 1.5 h exposure to 1.3 and 1.9 ppm of NH3, respectively. Collected filter samples of aged and unreacted α-pinene SOA and limonene SOA were analyzed by nano-DESI/HR-MS, and in situ using a ToF-AMS, confirming that the chemical reaction occurred and that N-containing reaction products were formed. The NH3-aged limonene SOA filter changed to light orange in color, indicating the formation of light-absorbing products. The nano-DESI/HR-MS analysis showed that the number of N-containing molecules increases significantly from the unreacted samples. Furthermore, there are indications that high double bond equivalent values are needed for the formation of brown carbon. The ToF-AMS analysis showed products which appear only after the reaction with NH3 occurred and were also shown to have high DBE values. If we assume that NH3 aging reactions scale linearly with time and concentration, then a 1.5 h reaction with 1 ppm NH3 in the laboratory is equivalent to 24 h reaction with 63 ppbv NH3, indicating that the observed aerosol absorption will be limited to atmospheric regions with high NH3 concentrations.

To assess the sensitivity of the BBCES RI retrievals, we measured atomized samples of a humic-like substance proxy, Suwannee River fulvic acid, and a filter extract of NH3-aged limonene SOA generated at UC-Irvine, which was light orange in color. We found k values of the order of 0.05 for SRFA and no detectable absorption for the NH3-aged limonene SOA in the 360–420 nm range. UV/Vis absorption spectra were used to determine mass absorption coefficients and k values for SRFA, NH3-aged limonene SOA generated at UC Irvine, and NH3-aged limonene SOA generated in this study. SRFA showed approximately an order of magnitude greater absorption than the two NH3-aged limonene SOA samples. We calculated the MAC for the filter samples to be <0.2 m2 g−1, which corresponds to imaginary parts of 0.008–0.009 for wavelengths between 360 and 420 nm and ρ = 1.4 g cm−3. With such small MAC and k values, the BrC formed by the interaction of biogenic SOA with ammonia is expected to make a significant contribution to the absorption in the atmosphere only where ammonia concentrations are greater than 1 ppm for 1.5 h or where NH3 exposure times are proportionally longer (e.g. 63 ppbv for 24 h). In these cases, the simple forcing efficiency calculation showed that the cooling effect by the aerosol can be decreased by up to a factor of three.

The use of SRFA as a proxy for a humic-like substance proved useful to verify that there were no errors with the instrumental method or the refractive index retrieval, but it also showed that its optical properties, specifically its absorption properties, are significantly higher than those of the NH3-aged SOA and other BrC measured in the field.6,95 Therefore, the use of SRFA as a BrC standard should be taken with caution as the absorption can be significantly overestimated.

The in situ measurements of aerosol extinction and retrieved complex refractive indices from this study demonstrate that bulk phase experiments of brown carbon can sensitively and reliably identify chemical shifts that lead to absorbing components. However, the in situ measurements of aerosol optical properties at relevant atmospheric size distributions provide an essential confirmation of the real atmospheric impact of such absorption, and should be included together with bulk phase experiments when possible. The absorption observed in bulk phase experiments suggests that a variety of potential organic chromophores may give rise to BrC components. However, quantitative assessment of their impact on climate requires in situ aerosol optical measurements, such as refractive index retrievals, over a broad spectral range.

Acknowledgements

This research was supported by research grants from the USA-Israel Binational Science Foundation (BSF) grant #2012013 and by the German Israel Science Foundation (grant #1136-26.8/2011). We thank Avi Lavi for his help with the ToF-AMS measurements, and John Nowak and Charles Brock for their helpful suggestions. RAW and SSB acknowledge financial support from the U.S. Department of Commerce, National Oceanic and Atmospheric Administration through Climate Program Office's Atmospheric Chemistry, Carbon Cycle and Climate (AC4) Program. The PNNL and UCI groups acknowledge support by the NOAA AC4 program, awards NA13OAR4310066 (PNNL) and NA13OAR4310062 (UCI). The nano-DESI/HR-MS experiments described in this paper were performed at the Environmental Molecular Sciences Laboratory, a national scientific user facility sponsored by U.S. DOE's Office of Biological and Environmental Research and located at the Pacific Northwest National Laboratory (PNNL). PNNL is operated for U.S. DOE by Battelle Memorial Institute under Contract No. DE-AC06-76RL0 1830. JMF is supported by a research grant from the Jinich Postdoctoral Fellowship.

References

  1. S. Solomon, D. Qin, M. Manning, M. Marquis, K. Averyt and M. M. B. Tignor, et al., Climate Change 2007: The Physical Science Basis, Cambridge University Press, Cambridge, UK, 2007 Search PubMed.
  2. M. O. Andreae and V. Ramanathan, Science, 2013, 340, 280–281 CrossRef CAS PubMed.
  3. R. Bahadur, P. S. Praveen, Y. Xu and V. Ramanathan, Proc. Natl. Acad. Sci. U. S. A., 2012, 109, 17366–17371 CrossRef CAS PubMed.
  4. T. C. Bond, S. J. Doherty, D. W. Fahey, P. M. Forster, T. Berntsen, B. J. DeAngelo, M. G. Flanner, S. Ghan, B. Kärcher, D. Koch, S. Kinne, Y. Kondo, P. K. Quinn, M. C. Sarofim, M. G. Schultz, M. Schulz, C. Venkataraman, H. Zhang, S. Zhang, N. Bellouin, S. K. Guttikunda, P. K. Hopke, M. Z. Jacobson, J. W. Kaiser, Z. Klimont, U. Lohmann, J. P. Schwarz, D. Shindell, T. Storelvmo, S. G. Warren and C. S. Zender, J. Geophys. Res.: Atmos., 2013, 118, 5380–5552 CAS.
  5. C. E. Chung, V. Ramanathan and D. Decremer, Proc. Natl. Acad. Sci. U. S. A., 2012, 109, 11624–11629 CrossRef CAS PubMed.
  6. D. A. Lack, J. M. Langridge, R. Bahreini, C. D. Cappa, A. M. Middlebrook and J. P. Schwarz, Proc. Natl. Acad. Sci. U. S. A., 2012, 109, 14802–14807 CrossRef CAS PubMed.
  7. P. S. Monks, C. Granier, S. Fuzzi, A. Stohl, M. L. Williams, H. Akimoto, M. Amann, A. Baklanov, U. Baltensperger, I. Bey, N. Blake, R. S. Blake, K. Carslaw, O. R. Cooper, F. Dentener, D. Fowler, E. Fragkou, G. J. Frost, S. Generoso, P. Ginoux, V. Grewe, A. Guenther, H. C. Hansson, S. Henne, J. Hjorth, A. Hofzumahaus, H. Huntrieser, I. S. A. Isaksen, M. E. Jenkin, J. Kaiser, M. Kanakidou, Z. Klimont, M. Kulmala, P. Laj, M. G. Lawrence, J. D. Lee, C. Liousse, M. Maione, G. McFiggans, A. Metzger, A. Mieville, N. Moussiopoulos, J. J. Orlando, C. D. O'Dowd, P. I. Palmer, D. D. Parrish, A. Petzold, U. Platt, U. Pöschl, A. S. H. Prévôt, C. E. Reeves, S. Reimann, Y. Rudich, K. Sellegri, R. Steinbrecher, D. Simpson, H. ten Brink, J. Theloke, G. R. van der Werf, R. Vautard, V. Vestreng, C. Vlachokostas and R. von Glasow, Atmos. Environ., 2009, 43, 5268–5350 CrossRef CAS PubMed.
  8. M. O. Andreae and A. Gelencsér, Atmos. Chem. Phys., 2006, 6, 3131–3148 CrossRef CAS.
  9. R. K. Chakrabarty, H. Moosmüller, L. W. A. Chen, K. Lewis, W. P. Arnott, C. Mazzoleni, M. K. Dubey, C. E. Wold, W. M. Hao and S. M. Kreidenweis, Atmos. Chem. Phys., 2010, 10, 6363–6370 CrossRef CAS.
  10. T. W. Kirchstetter, T. Novakov and P. V. Hobbs, J. Geophys. Res.: Atmos., 2004, 109, D21208 CrossRef.
  11. S. J. Doherty, S. G. Warren, T. C. Grenfell, A. D. Clarke and R. E. Brandt, Atmos. Chem. Phys., 2010, 10, 11647–11680 CrossRef CAS.
  12. A. Hecobian, X. Zhang, M. Zheng, N. Frank, E. S. Edgerton and R. J. Weber, Atmos. Chem. Phys., 2010, 10, 5965–5977 CrossRef CAS.
  13. X. L. Zhang, Y. H. Lin, J. D. Surratt, P. Zotter, A. S. H. Prevot and R. J. Weber, Geophys. Res. Lett., 2011, 38, L21810 Search PubMed.
  14. T. C. Bond, Geophys. Res. Lett., 2001, 28, 4075–4078 CrossRef.
  15. R. J. Park, M. J. Kim, J. I. Jeong, D. Youn and S. Kim, Atmos. Environ., 2010, 44, 1414–1421 CrossRef CAS PubMed.
  16. C. D. Cappa, T. B. Onasch, P. Massoli, D. R. Worsnop, T. S. Bates, E. S. Cross, P. Davidovits, J. Hakala, K. L. Hayden, B. T. Jobson, K. R. Kolesar, D. A. Lack, B. M. Lerner, S.-M. Li, D. Mellon, I. Nuaaman, J. S. Olfert, T. Petäjä, P. K. Quinn, C. Song, R. Subramanian, E. J. Williams and R. A. Zaveri, Science, 2012, 337, 1078–1081 CrossRef CAS PubMed.
  17. X. Wang, S. J. Doherty and J. Huang, J. Geophys. Res.: Atmos., 2013, 118, 1471–1492 CAS.
  18. T. W. Kirchstetter and T. L. Thatcher, Atmos. Chem. Phys., 2012, 12, 6067–6072 CrossRef CAS.
  19. M. O. Andreae and P. J. Crutzen, Science, 1997, 276, 1052–1058 CrossRef CAS.
  20. D. L. Bones, D. K. Henricksen, S. A. Mang, M. Gonsior, A. P. Bateman, T. B. Nguyen, W. J. Cooper and S. A. Nizkorodov, J. Geophys. Res.: Atmos., 2010, 115, D05203 CrossRef.
  21. J. Laskin, A. Laskin, P. J. Roach, G. W. Slysz, G. A. Anderson, S. A. Nizkorodov, D. L. Bones and L. Q. Nguyen, Anal. Chem., 2010, 82, 2048–2058 CrossRef CAS PubMed.
  22. T. B. Nguyen, P. B. Lee, K. M. Updyke, D. L. Bones, J. Laskin, A. Laskin and S. A. Nizkorodov, J. Geophys. Res.: Atmos., 2012, 117, D01207 Search PubMed.
  23. K. M. Updyke, T. B. Nguyen and S. A. Nizkorodov, Atmos. Environ., 2012, 63, 22–31 CrossRef CAS PubMed.
  24. B. Noziere, P. Dziedzic and A. Cordova, J. Phys. Chem. A, 2009, 113, 231–237 CrossRef CAS PubMed.
  25. N. Sareen, A. N. Schwier, E. L. Shapiro, D. Mitroo and V. F. McNeill, Atmos. Chem. Phys., 2010, 10, 997–1016 CrossRef CAS.
  26. E. L. Shapiro, J. Szprengiel, N. Sareen, C. N. Jen, M. R. Giordano and V. F. McNeill, Atmos. Chem. Phys., 2009, 9, 2289–2300 CrossRef CAS.
  27. G. Yu, A. R. Bayer, M. M. Galloway, K. J. Korshavn, C. G. Fry and F. N. Keutsch, Environ. Sci. Technol., 2011, 45, 6336–6342 CrossRef CAS PubMed.
  28. M. H. Powelson, B. M. Espelien, L. N. Hawkins, M. M. Galloway and D. O. De Haan, Environ. Sci. Technol., 2013, 48, 985–993 CrossRef PubMed.
  29. D. O. De Haan, L. N. Hawkins, J. A. Kononenko, J. J. Turley, A. L. Corrigan, M. A. Tolbert and J. L. Jimenez, Environ. Sci. Technol., 2010, 45, 984–991 CrossRef PubMed.
  30. M. Trainic, A. A. Riziq, A. Lavi, J. M. Flores and Y. Rudich, Atmos. Chem. Phys., 2011, 11, 9697–9707 CrossRef CAS.
  31. M. M. Galloway, P. S. Chhabra, A. W. H. Chan, J. D. Surratt, R. C. Flagan, J. H. Seinfeld and F. N. Keutsch, Atmos. Chem. Phys., 2009, 9, 3331–3345 CrossRef CAS.
  32. R. Volkamer, P. J. Ziemann and M. J. Molina, Atmos. Chem. Phys., 2009, 9, 1907–1928 CrossRef CAS.
  33. M. Trainic, A. A. Riziq, A. Lavi and Y. Rudich, J. Phys. Chem. A, 2012, 116, 5948–5957 CrossRef CAS PubMed.
  34. M. T. Casale, A. R. Richman, M. J. Elrod, R. M. Garland, M. R. Beaver and M. A. Tolbert, Atmos. Environ., 2007, 41, 6212–6224 CrossRef CAS PubMed.
  35. W. Esteve and B. Noziere, J. Phys. Chem. A, 2005, 109, 10920–10928 CrossRef CAS PubMed.
  36. R. M. Garland, M. J. Elrod, K. Kincaid, M. R. Beaver, J. L. Jimenez and M. A. Tolbert, Atmos. Environ., 2006, 40, 6863–6878 CrossRef CAS PubMed.
  37. H. E. Krizner, D. O. De Haan and J. Kua, J. Phys. Chem. A, 2009, 113, 6994–7001 CrossRef CAS PubMed.
  38. B. Noziere and W. Esteve, Geophys. Res. Lett., 2005, 32, L03812 CrossRef.
  39. B. Noziere, D. Voisin, C. A. Longfellow, H. Friedli, B. E. Henry and D. R. Hanson, J. Phys. Chem. A, 2006, 110, 2387–2395 CrossRef CAS PubMed.
  40. B. Noziere and W. Esteve, Atmos. Environ., 2007, 41, 1150–1163 CrossRef CAS PubMed.
  41. J. Zhao, N. P. Levitt and R. Y. Zhang, Geophys. Res. Lett., 2005, 32, L09802 Search PubMed.
  42. M. Z. Jacobson, J. Geophys. Res.: Atmos., 1999, 104, 3527–3542 CrossRef CAS.
  43. N. O. A. Kwamena and J. P. D. Abbatt, Atmos. Environ., 2008, 42, 8309–8314 CrossRef CAS PubMed.
  44. J. N. Pitts, K. A. Vancauwenberghe, D. Grosjean, J. P. Schmid, D. R. Fitz, W. L. Belser, G. B. Knudson and P. M. Hynds, Science, 1978, 202, 515–519 Search PubMed.
  45. J. W. Lu, J. M. Flores, A. Lavi, A. Abo-Riziq and Y. Rudich, Phys. Chem. Chem. Phys., 2011, 13, 6484–6492 RSC.
  46. J. L. Chang and J. E. Thompson, Atmos. Environ., 2010, 44, 541–551 CrossRef CAS PubMed.
  47. A. Gelencser, A. Hoffer, G. Kiss, E. Tombacz, R. Kurdi and L. Bencze, J. Atmos. Chem., 2003, 45, 25–33 CrossRef CAS.
  48. A. Hoffer, G. Kiss, M. Blazso and A. Gelencser, Geophys. Res. Lett., 2004, 31, L06115 CrossRef.
  49. J. D. Smith, V. Sio, L. Yu, Q. Zhang and C. Anastasio, Environ. Sci. Technol., 2013, 48, 1049–1057 CrossRef PubMed.
  50. A. Limbeck, M. Kulmala and H. Puxbaum, Geophys. Res. Lett., 2003, 30, 1996 CrossRef.
  51. A. G. Rincon, M. I. Guzman, M. R. Hoffmann and A. J. Colussi, J. Phys. Chem. A, 2009, 113, 10512–10520 CrossRef CAS PubMed.
  52. A. G. Rincon, M. I. Guzman, M. R. Hoffmann and A. J. Colussi, J. Phys. Chem. Lett., 2010, 1, 368–373 CrossRef CAS.
  53. M. Schnaiter, H. Horvath, O. Möhler, K. H. Naumann, H. Saathoff and O. W. Schöck, J. Aerosol Sci., 2003, 34, 1421–1444 CrossRef CAS.
  54. Y. Yu, M. J. Ezell, A. Zelenyuk, D. Imre, L. Alexander, J. Ortega, B. D'Anna, C. W. Harmon, S. N. Johnson and B. J. Finlayson-Pitts, Atmos. Environ., 2008, 42, 5044–5060 CrossRef CAS PubMed.
  55. H. Wex, M. D. Petters, C. M. Carrico, E. Hallbauer, A. Massling, G. R. McMeeking, L. Poulain, Z. Wu, S. M. Kreidenweis and F. Stratmann, Atmos. Chem. Phys., 2009, 9, 3987–3997 CrossRef CAS.
  56. H. Kim, B. Barkey and S. E. Paulson, J. Geophys. Res.: Atmos., 2010, 115, D24212 CrossRef.
  57. T. Nakayama, Y. Matsumi, K. Sato, T. Imamura, A. Yamazaki and A. Uchiyama, J. Geophys. Res.: Atmos., 2010, 115, D24204 CrossRef.
  58. H. Kim, B. Barkey and S. E. Paulson, J. Phys. Chem. A, 2012, 116, 6059–6067 CrossRef CAS PubMed.
  59. T. Nakayama, K. Sato, Y. Matsumi, T. Imamura, A. Yamazaki and A. Uchiyama, Sola, 2012, 8, 119–123,  DOI:10.2151/sola.2012-030.
  60. T. Nakayama, K. Sato, Y. Matsumi, T. Imamura, A. Yamazaki and A. Uchiyama, Atmos. Chem. Phys., 2013, 13, 531–545 CrossRef CAS.
  61. N. Lang-Yona, Y. Rudich, T. F. Mentel, A. Bohne, A. Buchholz, A. Kiendler-Scharr, E. Kleist, C. Spindler, R. Tillmann and J. Wildt, Atmos. Chem. Phys., 2010, 10, 7253–7265 CrossRef CAS.
  62. H. Redmond and J. E. Thompson, Phys. Chem. Chem. Phys., 2011, 13, 6872–6882 RSC.
  63. J. M. Flores, D. F. Zhao, L. Segev, P. Schlag, A. Kiendler-Scharr, H. Fuchs, Å. K. Watne, N. Bluvshtein, T. F. Mentel, M. Hallquist and Y. Rudich, Atmos. Chem. Phys. Discuss., 2014, 14, 4149–4187 CrossRef.
  64. P. Liu, Y. Zhang and S. T. Martin, Environ. Sci. Technol., 2013, 47, 13594–13601 CrossRef CAS PubMed.
  65. R. A. Washenfelder, J. M. Flores, C. A. Brock, S. S. Brown and Y. Rudich, Atmos. Meas. Tech., 2013, 6, 861–877 CrossRef.
  66. E. M. Wilson, J. Chen, R. M. Varma, J. C. Wenger and D. S. Venables, in Radiation Processes in the Atmosphere and Ocean, ed. R. F. Cahalan and J. Fischer, 2013, vol. 1531, pp. 155–158 Search PubMed.
  67. W. Zhao, M. Dong, W. Chen, X. Gu, C. Hu, X. Gao, W. Huang and W. Zhang, Anal. Chem., 2013, 85, 2260–2268 CrossRef CAS PubMed.
  68. T. C. Bond and R. W. Bergstrom, Aerosol Sci. Technol., 2006, 40, 27–67 CrossRef CAS.
  69. S. E. Fiedler, A. Hese and A. A. Ruth, Chem. Phys. Lett., 2003, 371, 284–294 CrossRef CAS.
  70. R. A. Washenfelder, A. O. Langford, H. Fuchs and S. S. Brown, Atmos. Chem. Phys., 2008, 8, 7779–7793 CrossRef CAS.
  71. R. Thalman and R. Volkamer, Atmos. Meas. Tech., 2010, 3, 1797–1814 CrossRef.
  72. R. M. Varma, D. S. Venables, A. A. Ruth, U. Heitmann, E. Schlosser and S. Dixneuf, Appl. Opt., 2009, 48, B159–B171 CrossRef CAS.
  73. R. M. Varma, S. M. Ball, T. Brauers, H. P. Dorn, U. Heitmann, R. L. Jones, U. Platt, D. Pohler, A. A. Ruth, A. J. L. Shillings, J. Thieser, A. Wahner and D. S. Venables, Atmos. Meas. Tech., 2013, 6, 3115–3130 CrossRef.
  74. E. O. Knutson and K. T. Whitby, J. Aerosol Sci., 1975, 6, 443–451 CrossRef.
  75. A. Wiedensohler, J. Aerosol Sci., 1988, 19, 387–389 CrossRef CAS.
  76. Y. Chen and T. C. Bond, Atmos. Chem. Phys., 2010, 10, 1773–1787 CrossRef CAS.
  77. M. Hallquist, J. C. Wenger, U. Baltensperger, Y. Rudich, D. Simpson, M. Claeys, J. Dommen, N. M. Donahue, C. George, A. H. Goldstein, J. F. Hamilton, H. Herrmann, T. Hoffmann, Y. Iinuma, M. Jang, M. E. Jenkin, J. L. Jimenez, A. Kiendler-Scharr, W. Maenhaut, G. McFiggans, T. F. Mentel, A. Monod, A. S. H. Prevot, J. H. Seinfeld, J. D. Surratt, R. Szmigielski and J. Wildt, Atmos. Chem. Phys., 2009, 9, 5155–5236 CrossRef CAS.
  78. P. F. DeCarlo, J. R. Kimmel, A. Trimborn, M. J. Northway, J. T. Jayne, A. C. Aiken, M. Gonin, K. Fuhrer, T. Horvath, K. S. Docherty, D. R. Worsnop and J. L. Jimenez, Anal. Chem., 2006, 78, 8281–8289 CrossRef CAS PubMed.
  79. P. J. Roach, J. Laskin and A. Laskin, Anal. Chem., 2010, 82, 7979–7986 CrossRef CAS PubMed.
  80. P. J. Roach, J. Laskin and A. Laskin, Analyst, 2010, 135, 2233–2236 RSC.
  81. P. J. Roach, J. Laskin and A. Laskin, Anal. Chem., 2011, 83, 4924–4929 CrossRef CAS PubMed.
  82. P. Chylek and J. Wong, Geophys. Res. Lett., 1995, 22, 929–931 CrossRef.
  83. Y. Liu and P. H. Daum, J. Aerosol Sci., 2008, 39, 974–986 CrossRef CAS PubMed.
  84. T. B. Nguyen, A. Laskin, J. Laskin and S. A. Nizkorodov, Faraday Discuss., 2013, 165, 473–494 RSC.
  85. S. Leungsakul, M. Jaoui and R. M. Kamens, Environ. Sci. Technol., 2005, 39, 9583–9594 CrossRef CAS.
  86. H. Kim and S. E. Paulson, Atmos. Chem. Phys., 2013, 13, 7711–7723 CrossRef.
  87. A. T. Lambe, C. D. Cappa, P. Massoli, T. B. Onasch, S. D. Forestieri, A. T. Martin, M. J. Cummings, D. R. Croasdale, W. H. Brune, D. R. Worsnop and P. Davidovits, Environ. Sci. Technol., 2013, 47, 6349–6357 CAS.
  88. A. P. Bateman, S. A. Nizkorodov, J. Laskin and A. Laskin, Phys. Chem. Chem. Phys., 2011, 13, 12199–12212 RSC.
  89. I. Kourtchev, S. J. Fuller, C. Giorio, R. M. Healy, E. Wilson, I. O'Connor, J. C. Wenger, M. McLeod, J. Aalto, T. M. Ruuskanen, W. Maenhaut, R. Jones, D. S. Venables, J. R. Sodeau, M. Kulmala and M. Kalberer, Atmos. Chem. Phys., 2014, 14, 2155–2167 CrossRef.
  90. M. A. Sutton, S. Reis, S. N. Riddick, U. Dragosits, E. Nemitz, M. R. Theobald, Y. S. Tang, C. F. Braban, M. Vieno, A. J. Dore, R. F. Mitchell, S. Wanless, F. Daunt, D. Fowler, T. D. Blackall, C. Milford, C. R. Flechard, B. Loubet, R. Massad, P. Cellier, E. Personne, P. F. Coheur, L. Clarisse, M. Van Damme, Y. Ngadi, C. Clerbaux, C. A. Skjøth, C. Geels, O. Hertel, R. J. Wichink Kruit, R. W. Pinder, J. O. Bash, J. T. Walker, D. Simpson, L. Horváth, T. H. Misselbrook, A. Bleeker, F. Dentener and W. de Vries, Philos. Trans. R. Soc., B, 2013, 368, 1621 CrossRef PubMed.
  91. J. B. Nowak, J. A. Neuman, R. Bahreini, A. M. Middlebrook, J. S. Holloway, S. A. McKeen, D. D. Parrish, T. B. Ryerson and M. Trainer, Geophys. Res. Lett., 2012, 39, L07804 CrossRef.
  92. L. Clarisse, C. Clerbaux, F. Dentener, D. Hurtmans and P. F. Coheur, Nat. Geosci., 2009, 2, 479–483 CrossRef CAS.
  93. D. W. T. M. Griffith, W. G. Mankin, M. T. Coffey, D. E. Ward and A. Riebau, In Global Biomass Burning, Global biomass burining: Atmospheric, climatic, and biospheric implications, MIT Press, Cambridge, 1991 Search PubMed.
  94. B. Barkey, S. E. Paulson and A. Chung, Aerosol Sci. Technol., 2007, 41, 751–760 CrossRef CAS.
  95. J. Liu, M. Bergin, H. Guo, L. King, N. Kotra, E. Edgerton and R. J. Weber, Atmos. Chem. Phys., 2013, 13, 12389–12404 CrossRef CAS.
  96. H. L. Sun, L. Biedermann and T. C. Bond, Geophys. Res. Lett., 2007, 34, L17813 CrossRef.
  97. J. C. Barnard, R. Volkamer and E. I. Kassianov, Atmos. Chem. Phys., 2008, 8, 6665–6679 CrossRef CAS.
  98. G. Adler, A. A. Riziq, C. Erlick and Y. Rudich, Proc. Natl. Acad. Sci. U. S. A., 2010, 107, 6699–6704 CrossRef CAS PubMed.

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