deployable high resolution time-of-flight chemical ......deployable high resolution time-of-flight...

1
06:12 06:16 06:20 06:24 06:28 06:32 06:36 06:40 0 10 20 30 40 50 60 70 Time Signal Arb. Units m/Q 137.9630 C 6 H 5 NO 3 Towards a Molecular-Level Understanding of Organic Aerosol Evolution Using a Field- Deployable High Resolution Time-of-Flight Chemical Ionization Mass Spectrometer Summary Joel Thornton, 1 Felipe Lopez-Hilfiker, 1 Claudia Mohr, 1 Reddy L. N. Yatavelli, 1,§ Julia Wargo, 1 Lindsay Yee, 2 Jill Craven, 2 Christine Loza, 2 Manjula Canagaratna, 3 Nga (Sally) Ng, 4 Man Nin Chan, 2 Kate Schilling, 2 Rick Flagan, 2 Paul Ziemann, 5 Lynn Russell, 6 Leah Williams, 3 Scott Herndon, 3 Doug Worsnop, 3 John Seinfeld 2 1) University of Washington, Seattle, WA § Now at CIRES, University of Colorado, Boulder, CO 2) California Institute of Technology, Pasadena, CA 3) Aerodyne Research Inc., Billerica, MA 4) Georgia Institute of Technology, Atlanta, GA 5) University of California, Riverside, CA 6) SIO, University of California, San Diego, CA Atmospheric aerosols affect climate and human health, but their source and chemical evolution is poorly understood. Organic aerosols (OA) constitute a major fraction of submicron atmospheric aerosols and are either emitted directly from the source (primary organic aerosol, POA) or formed from oxidation of precursor organic gases in the atmosphere (called secondary organic aerosols, SOA), 1 which is often a major fraction of OA. 2 Despite this progress, SOA formation mechanisms and dominance in atmospheric aerosols are poorly simulated by models. In collaboration with Aerodyne Research Inc., the UW group has been developing a new instrument to measure a suite of multifunctional organic compounds in both the gas and particle phases simultaneously. Here I present recent laboratory and field results obtained using this new instrument. We investigated the SOA yields, formation, reaction mechanisms and products, and gas-particle partitioning of the products from photo-oxidation of several alkanes in the Caltech environmental chamber. Previous smog-chamber studies 3,4 have shown that the oxidation of alkanes has a high SOA yield and can produce highly oxygenated SOA. We also took part in a recent field study to examine wintertime urban outflow in the UK, known as Aeroflo/Clearflowhich occurred January February, 2012. Preliminary data from that campaign are shown here and discussed in a breakout session. New Instrumentation Pre-concentration and gas-particle separation using inertial impaction Temperature programmed desorption for volatility information Chemical ionization high-resolution time of flight mass spectrometry Micro-Orifice Volatilization Impactor 5 Similar to the high resolution Aerodyne-AMS 7 , but with an atmospheric pressure interface Mass accuracy from manufacturer ~ 20 ppm Mass resolving power (m/m FWHM ) > 3500 High sensitivity detection limits at sub ng/m 3 for particle phase compounds at 10 min sampling detection limits at sub pptv (<10 9 cm -3 ) for gas phase compounds in 10 min average Conclusions Field Measurements: Aeroflo/Clearflo U.K. Acknowledgements / References DOE ASR Program, Aerodyne Research Incorporated and AEROFLO COLLABORATORS! Also DOE SBIR, NSF CAREER ATM-0846183, NASA ESS 07-Earth07F-0069 1. Kanakidou, M., et al., (2005), Organic aerosol and global climate modeling: a review. Atmos. Chem. Phys., 5, 1053-1123. 2. Jimenez, J.L., et al., (2009), Evolution of organic aerosols in the atmosphere. Science, 326, 1525-1529. 3. Lim and Ziemann, (2009), Chemistry of secondary organic aerosol formation from OH radical-initiated reactions of linear, branched, and cyclic alkanes in the presence of NOx. Aerosol Sci.Tech., 43, 604-619. 4. Presto, A., et al., (2010), Secondary organic aerosol formation from high-NOx photo-oxidation of low-volatility precursors: n-Alkanes. ES&T 44, 2029- 2034 5. Yatavelli, R. L. N., et al., (2010), Particulate organic matter detection using a micro-orifice volatilization impactor coupled to a chemical ionization mass spectrometer (MOVI-CIMS). Aerosol Sci. Tech., 44, 61-74. 6. Veres, P., et al., (2008), Development of Negative-Ion Proton-Transfer Chemical-ionization Mass Spectrometry (NI-PT-CIMS) for the Measurement of Gas-Phase Organic Acids in the Atmosphere. Int. J. Mass. Spec., 274, 48-55. 7. DeCarlo, P.F., et al., (2006), Field-deployable, high-resolution, time-of-flight aerosol mass spectrometer. Anal. Chem., 78, 8281-8289. 8. Kroll, J., et al., (2011), Carbon oxidation state as a metric for describing the chemistry of atmospheric organic aerosol. Nature Chem., 3, 133-139 100 nozzles, 150 μm diameter; Cutpoint (d 50 ): 0.13 µm; Flow: 10 L/min, ∆P = 15% Thermally isolated impaction surface; surface and body temperature controlled to within +/- 1K Chemical Ionization Proton abstraction selectively reacts with acids 6 Proton transfer general ionization scheme High Resolution Time-of-Flight Mass Spectrometer Dodecane oxidation under low-NO x conditions shows formation of numerous highly oxygenated products in gas and particle-phases. The MOVI-HRToF-CIMS is able to resolve differences in the time evolution of multigenerational products that contribute to SOA. Future analyses will address functionalization vs. fragmentation and volatility information obtained with MOVI (not shown). In addition, the MOVI-HRToF-CIMS successfully measured a large suite of compounds in the gas and particle phases during the Aeroflo deployment that will likely give unprecedented information on organic aerosol sources and evolution. Fig. 3 (above): SOA mass concentration and fractional yield during the 18hr oxidation of Dodecane under Low-NOx conditions. SOA mass concentration reached 25 μg m -3 by the end of the 18 hr oxidation. The maximum fractional yield is approximately 0.12. OH concentrations were 2 x 10 6 molec cm -3 . Fig. 4: Evolution of mass spectra in gas and particle-phases as a function of experiment time are presented here. Note the split in the mass axis and the signal on the right axis are multiplied by a factor of 500 and 50 relative to the left axis Experiments used 28 m 3 Caltech chambers Oxidation time scales of 18 and 36 hr Low and high-NO x conditions, using H 2 O 2 + hv and HONO + hv as OH source, respectively Neutralized ammonium sulfate seed aerosol Dry conditions, RH< 7% and T = ambient SOA and OH maintained at ambient levels Gas-phase Mass Spectra Positive Mode Particle-phase Product Formation and Evolution Fig. 5: Unit mass resolution time traces of a few products showing their evolution during the experiment. Six different types of profiles were identified probably corresponding to a mix of different generations of products. MOVI-HRToF-CIMS Technique Oxygenated products up to 450 Th are detected. There are differences between gas and particle-phase products, but the major products, 185 Th, 199 Th, and 203 Th are observed in both phases. The distribution and molecular composition of products evolves over 18hr, suggesting multiple generations arise from functionalization and fragmentation 3 3 ( ) ( ) ( ) ( ) CH C O O RC O OH CH C O OH RC O O 3 2 2 ( ) ( ) ( 1) ( ) n HOHO RC O R n HO RC O RH Dodecane Low-NO x 18hr Oxidation Fig. 1: Instrument response (ion count rate) for different amounts of gas and particle-phase carboxylic acids. Fig. 2: Mass accuracy based on known m/Q exact masses compared to predicted (a), mass resolving power as a function of m/Q (b), and an example ion resolution and composition assignment (c). 18 19 20 21 22 23 24 25 26 27 10 15 20 25 30 35 40 45 50 Hours Since Lights On Signal at m/Q 219 Th (arb) C 9 H 14 O 6 C 10 H 18 O 5 or C 11 H 22 O 4 C 12 H 26 O 3 18 19 20 21 22 23 24 25 26 27 10 20 30 40 50 60 70 80 Hours Since Lights On Signal at m/Q 233 Th (arb) C 10 H 16 O 6 C 12 H 24 O 4 Fig. 6: High resolution analysis shows multi-generational products at the same unit m/Q (panels above) which have opposing time series (panels at right). A mix of “functionalization” (O addition to backbone) and “fragmentation” (C loss from backbone) is apparent with an increasing O/C ratio as aging progresses. High-Resolution Analysis “Fragmentation vs Functionalization” High-Resolution Analysis of m/Q 138 During Sampling and Desorption 137.8 137.85 137.9 137.95 138 138.05 138.1 138.15 138.2 0 50 100 150 200 250 300 350 400 Signal (cps) m/Q High Resolution Nominal m/Q 138 Sampling Raw Spectrum Fitted Data m/Q 137.9632 m/Q 138.0154 C 6 H 4 NO 3 Error 26.9 ppm 137.8 137.85 137.9 137.95 138 138.05 138.1 138.15 138.2 0 5 10 15 20 25 30 35 40 45 50 m/Q Signal (cps) High Resolution Nominal m/Q 138 Heating Raw Spectrum Fitted Data m/Q 138.021 C 6 H 4 NO 3 Error 13.62 ppm m/Q 137.9679 Nitrophenol DOE-ASR funded Aeroflo an aerosol focused augmentation of the U.K. Clearflo field study of urban air quality and outflow in the U.K. A multi-institution team deployed a state-of-the- art suite of in-situ and remote sensing instrumentation to study the sources and evolution of aerosol downwind of London and the European Continent from January 10 February 15, 2012. Fig. 7 The Aeroflo field site was located ~45 km ESE of London in Kent (Detling). The area is rural and the meteorology during the campaign provided a range of source regions, air mass ages, temperature, and precipitation. The MOVI-HRToF-CIMS operated nearly continuously from January 22 February 15. Preliminary Results: MOVI-HR-ToF-CIMS Time Series Figure 8. The three panels at left show a very small subset of ion signal time series recorded by the MOVI- HR-ToF-CIMS including gas and particle components detected using the acetate reagent ion (top and middle), and proton-transfer by H 3 O + (H 2 O) n clusters. In the top panel, two ions (m/Q 138 and 170) detected analyzing the particle phase showed significant variations over the campaign that were fairly well correlated with AMS total organic aerosol mass. These ions also correlated well with that at m/Q 42 detected almost entirely in the gas-phase corresponding to isocyanic acid (HNCO), a biofuel combustion tracer. The ability to simultaneously monitor gas and particle phase composition with one instrument enhances the ability for robust source identification. The middle and bottom panels illustrate that there are a number of ions detected in the particle phase that correlate well with AMS total organic aerosol mass loading (many not shown). Statistical techniques are currently being used to decompose these multidimensional data into classes for a detailed source apportionment of organic aerosol in this study. Fig. 9 As a final demonstration of the capabilities of the instrument, at left is plotted a high-resolution time series of ion signal with unit m/Q of 138 (see Fig. 8 above). Two different ions compose the signal at this m/Q. During sampling, the ion at 137.96 Th dominates the signal. During a temperature- programmed desorption (6:25AM), the ion signal becomes dominated by that corresponding to a nitrophenol. This finding is consistent with the particle signal of m/Q 138 being correlated with a biofuel combustion tracer. [email protected]

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Page 1: Deployable High Resolution Time-of-Flight Chemical ......Deployable High Resolution Time-of-Flight Chemical Ionization Mass Spectrometer Summary Joel Thornton, 1 Felipe Lopez-Hilfiker,

06:12 06:16 06:20 06:24 06:28 06:32 06:36 06:400

10

20

30

40

50

60

70

Time

Sig

na

l A

rb. U

nit

s

High Resolution Nominal m/Q 138

m/Q 137.9630

C6H

5NO

3

Towards a Molecular-Level Understanding of Organic Aerosol Evolution Using a Field-

Deployable High Resolution Time-of-Flight Chemical Ionization Mass Spectrometer

Summary

Joel Thornton,1 Felipe Lopez-Hilfiker,1 Claudia Mohr,1 Reddy L. N. Yatavelli,1,§ Julia Wargo,1 Lindsay Yee,2 Jill Craven,2 Christine Loza,2 Manjula Canagaratna,3 Nga (Sally) Ng,4 Man Nin Chan,2 Kate Schilling,2

Rick Flagan,2 Paul Ziemann,5 Lynn Russell,6 Leah Williams,3 Scott Herndon,3 Doug Worsnop,3 John Seinfeld2

1) University of Washington, Seattle, WA § Now at CIRES, University of Colorado, Boulder, CO 2) California Institute of Technology, Pasadena, CA 3) Aerodyne Research Inc., Billerica, MA 4) Georgia Institute of Technology, Atlanta, GA 5) University of

California, Riverside, CA 6) SIO, University of California, San Diego, CA

Atmospheric aerosols affect climate and human health, but their source and chemical evolution is

poorly understood. Organic aerosols (OA) constitute a major fraction of submicron atmospheric

aerosols and are either emitted directly from the source (primary organic aerosol, POA) or formed

from oxidation of precursor organic gases in the atmosphere (called secondary organic aerosols,

SOA),1 which is often a major fraction of OA.2 Despite this progress, SOA formation mechanisms

and dominance in atmospheric aerosols are poorly simulated by models. In collaboration with

Aerodyne Research Inc., the UW group has been developing a new instrument to measure a suite of

multifunctional organic compounds in both the gas and particle phases simultaneously. Here I

present recent laboratory and field results obtained using this new instrument. We investigated the

SOA yields, formation, reaction mechanisms and products, and gas-particle partitioning of the

products from photo-oxidation of several alkanes in the Caltech environmental chamber. Previous

smog-chamber studies3,4 have shown that the oxidation of alkanes has a high SOA yield and can

produce highly oxygenated SOA. We also took part in a recent field study to examine wintertime

urban outflow in the UK, known as “Aeroflo/Clearflo” which occurred January – February, 2012.

Preliminary data from that campaign are shown here and discussed in a breakout session.

New Instrumentation

• Pre-concentration and gas-particle separation using inertial impaction

• Temperature programmed desorption for volatility information

• Chemical ionization high-resolution time of flight mass spectrometry

Micro-Orifice Volatilization Impactor5

Similar to the high resolution Aerodyne-AMS7,

but with an atmospheric pressure interface

Mass accuracy from manufacturer ~ 20 ppm

Mass resolving power (m/mFWHM) > 3500

High sensitivity

– detection limits at sub ng/m3 for particle

phase compounds at 10 min sampling

– detection limits at sub pptv (<109 cm-3)

for gas phase compounds in 10 min average

Conclusions

Field Measurements: Aeroflo/Clearflo U.K.

Acknowledgements / References DOE ASR Program, Aerodyne Research Incorporated and AEROFLO COLLABORATORS! Also DOE SBIR, NSF CAREER ATM-0846183, NASA ESS

07-Earth07F-0069

1. Kanakidou, M., et al., (2005), Organic aerosol and global climate modeling: a review. Atmos. Chem. Phys., 5, 1053-1123. 2. Jimenez, J.L., et al., (2009), Evolution of organic aerosols in the

atmosphere. Science, 326, 1525-1529. 3. Lim and Ziemann, (2009), Chemistry of secondary organic aerosol formation from OH radical-initiated reactions of linear, branched, and cyclic alkanes in the

presence of NOx. Aerosol Sci.Tech., 43, 604-619. 4. Presto, A., et al., (2010), Secondary organic aerosol formation from high-NOx photo-oxidation of low-volatility precursors: n-Alkanes. ES&T 44, 2029-

2034 5. Yatavelli, R. L. N., et al., (2010), Particulate organic matter detection using a micro-orifice volatilization impactor coupled to a chemical ionization mass spectrometer (MOVI-CIMS). Aerosol Sci.

Tech., 44, 61-74. 6. Veres, P., et al., (2008), Development of Negative-Ion Proton-Transfer Chemical-ionization Mass Spectrometry (NI-PT-CIMS) for the Measurement of Gas-Phase Organic Acids in the

Atmosphere. Int. J. Mass. Spec., 274, 48-55. 7. DeCarlo, P.F., et al., (2006), Field-deployable, high-resolution, time-of-flight aerosol mass spectrometer. Anal. Chem., 78, 8281-8289. 8. Kroll, J., et al.,

(2011), Carbon oxidation state as a metric for describing the chemistry of atmospheric organic aerosol. Nature Chem., 3, 133-139

100 nozzles, 150 µm diameter; Cutpoint (d50):

0.13 µm; Flow: 10 L/min, ∆P = 15%

Thermally isolated impaction surface; surface

and body temperature controlled to within +/- 1K

Chemical Ionization

Proton abstraction – selectively reacts with acids6

Proton transfer – general ionization scheme

High Resolution Time-of-Flight Mass Spectrometer

Dodecane oxidation under low-NOx conditions shows formation of numerous highly oxygenated

products in gas and particle-phases. The MOVI-HRToF-CIMS is able to resolve differences in the time

evolution of multigenerational products that contribute to SOA. Future analyses will address

functionalization vs. fragmentation and volatility information obtained with MOVI (not shown). In

addition, the MOVI-HRToF-CIMS successfully measured a large suite of compounds in the gas and

particle phases during the Aeroflo deployment that will likely give unprecedented information on

organic aerosol sources and evolution.

Fig. 3 (above): SOA mass concentration and

fractional yield during the 18hr oxidation of

Dodecane under Low-NOx conditions. SOA mass

concentration reached 25 µg m-3 by the end of the

18 hr oxidation. The maximum fractional yield is

approximately 0.12. OH concentrations were 2 x

106 molec cm-3. Fig. 4: Evolution of mass spectra in gas and

particle-phases as a function of experiment time

are presented here. Note the split in the mass

axis and the signal on the right axis are multiplied

by a factor of 500 and 50 relative to the left axis

• Experiments used 28 m3 Caltech chambers

• Oxidation time scales of 18 and 36 hr

• Low and high-NOx conditions, using H2O2 + hv

and HONO + hv as OH source, respectively

• Neutralized ammonium sulfate seed aerosol

• Dry conditions, RH< 7% and T = ambient

• SOA and OH maintained at ambient levels

Gas-phase

Mass Spectra – Positive Mode

Particle-phase

Product Formation and Evolution

Fig. 5: Unit mass resolution time traces of a few products

showing their evolution during the experiment. Six different

types of profiles were identified probably corresponding to a

mix of different generations of products.

MOVI-HRToF-CIMS Technique

Oxygenated products up to 450 Th are

detected. There are differences between gas

and particle-phase products, but the major

products, 185 Th, 199 Th, and 203 Th are

observed in both phases. The distribution and

molecular composition of products evolves

over 18hr, suggesting multiple generations

arise from functionalization and fragmentation 3 3( ) ( ) ( ) ( )CH C O O RC O OH CH C O OH RC O O

3 2 2( ) ( ) ( 1) ( )nH O H O RC O R n H O RC O R H

Dodecane Low-NOx 18hr Oxidation

Fig. 1: Instrument response (ion count

rate) for different amounts of gas and

particle-phase carboxylic acids.

Fig. 2: Mass accuracy based on known m/Q exact

masses compared to predicted (a), mass resolving

power as a function of m/Q (b), and an example ion

resolution and composition assignment (c).

18 19 20 21 22 23 24 25 26 2710

15

20

25

30

35

40

45

50

Hours Since Lights On

Sig

nal at

m/Q

219 T

h (

arb

)

C9H

14O

6

C10

H18

O5 or C

11H

22O

4

C12

H26

O3

18 19 20 21 22 23 24 25 26 2710

20

30

40

50

60

70

80

Hours Since Lights On

Sig

nal at

m/Q

233 T

h (

arb

)

C10

H16

O6

C12

H24

O4

Fig. 6: High resolution analysis shows

multi-generational products at the same

unit m/Q (panels above) which have

opposing time series (panels at right). A

mix of “functionalization” (O – addition to

backbone) and “fragmentation” (C loss

from backbone) is apparent with an

increasing O/C ratio as aging progresses.

High-Resolution Analysis “Fragmentation vs Functionalization”

High-Resolution Analysis of m/Q 138 During Sampling and Desorption

137.8 137.85 137.9 137.95 138 138.05 138.1 138.15 138.20

50

100

150

200

250

300

350

400

Sig

na

l (c

ps

)

m/Q

High Resolution Nominal m/Q 138 Sampling

Raw Spectrum

Fitted Datam/Q 137.9632

m/Q 138.0154 C6H

4NO

3

Error 26.9 ppm

137.8 137.85 137.9 137.95 138 138.05 138.1 138.15 138.20

5

10

15

20

25

30

35

40

45

50

m/Q

Sig

na

l (c

ps

)

High Resolution Nominal m/Q 138 Heating

Raw Spectrum

Fitted Data

m/Q 138.021 C6H

4NO

3

Error 13.62 ppm

m/Q 137.9679

Nitrophenol

DOE-ASR funded Aeroflo – an

aerosol focused augmentation

of the U.K. Clearflo field study

of urban air quality and outflow

in the U.K. A multi-institution

team deployed a state-of-the-

art suite of in-situ and remote

sensing instrumentation to

study the sources and

evolution of aerosol downwind

of London and the European

Continent from January 10 –

February 15, 2012.

Fig. 7 The Aeroflo field site was located ~45 km ESE of London in

Kent (Detling). The area is rural and the meteorology during the

campaign provided a range of source regions, air mass ages,

temperature, and precipitation. The MOVI-HRToF-CIMS operated

nearly continuously from January 22 – February 15.

Preliminary Results: MOVI-HR-ToF-CIMS Time Series

Figure 8. The three panels at left show a very small

subset of ion signal time series recorded by the MOVI-

HR-ToF-CIMS including gas and particle components

detected using the acetate reagent ion (top and middle),

and proton-transfer by H3O+(H2O)n clusters.

In the top panel, two ions (m/Q 138 and 170) detected

analyzing the particle phase showed significant

variations over the campaign that were fairly well

correlated with AMS total organic aerosol mass. These

ions also correlated well with that at m/Q 42 detected

almost entirely in the gas-phase corresponding to

isocyanic acid (HNCO), a biofuel combustion tracer. The

ability to simultaneously monitor gas and particle phase

composition with one instrument enhances the ability for

robust source identification.

The middle and bottom panels illustrate that there are a

number of ions detected in the particle phase that

correlate well with AMS total organic aerosol mass

loading (many not shown). Statistical techniques are

currently being used to decompose these

multidimensional data into classes for a detailed source

apportionment of organic aerosol in this study.

Fig. 9 As a final demonstration of the

capabilities of the instrument, at left is

plotted a high-resolution time series of

ion signal with unit m/Q of 138 (see Fig.

8 above). Two different ions compose

the signal at this m/Q. During sampling,

the ion at 137.96 Th dominates the

signal. During a temperature-

programmed desorption (6:25AM), the

ion signal becomes dominated by that

corresponding to a nitrophenol. This

finding is consistent with the particle

signal of m/Q 138 being correlated with

a biofuel combustion tracer.

[email protected]