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Single Particle Mass Spectrometry

Single Particle Mass Spectrometry. Anthony S. Wexler, University of California, Davis Keith Bein, Yongjing Zhao, Mang Zhang, UC Davis Derek Lake, Mike Tolocka, Murray Johnston, University of Delaware. Sharp Orifice Particle Focusing. Assumption: inlet focuses only one stokes number.

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Single Particle Mass Spectrometry

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  1. Single Particle Mass Spectrometry Anthony S. Wexler, University of California, Davis Keith Bein, Yongjing Zhao, Mang Zhang, UC Davis Derek Lake, Mike Tolocka, Murray Johnston, University of Delaware

  2. Sharp Orifice Particle Focusing Assumption: inlet focuses only one stokes number po, To Usonic

  3. Pittsburgh Supersite ExperimentPurpose • Assess single particle size and composition • Source attribution • Correlate co-incident measurements • Ex. RSMS-3 and SMPS

  4. Sampling Protocol • Sampling intervals start every three hours • Cycle through nine critically sized orifices • correspond to nine different particle sizes • about 30 nm to 1.1 micrometers • Operated at each orifice until either 10 minutes expires or 30 particles are sampled, whichever comes first

  5. Data Clustering • Data reduction • Advancing technology = larger and larger data sets • Data classification • Cluster data based upon some metric of similarity • Construct particle classes from data clusters

  6. What can we learn about PM problems using Single Particle Analysis? Instruments have high reliability – Operated for 9 months in Baltimore and 12 months in Pittsburgh so significant statistics obtainable.

  7. Metadata for Pittsburgh

  8. What can we learn about PM problems using Single Particle Analysis? No pre-conceptions – The instruments analyze everything.

  9. Unidentified Organics 3.3% 39 41 27 57 69 29 135 59 95 81 149 109 123 Chambers Development Co., 27 tons/yr. 108o

  10. What can we learn about PM problems using Single Particle Analysis? High temporal resolution – Correlation to wind direction or other meteorological parameters.

  11. Pittsburgh Supersite- PM2.5 Sources within 24 km of Site

  12. Iron 1.2% Fe+ 129o, USX Corp. –ET, 426 tons/yr

  13. Sodium, Potassium, Tin, Lead 0.8% Na+ Sn+ K+ Pb+ NaK+

  14. What can we learn about PM problems using Single Particle Analysis? Source identification is robust – Source and ambient samples of the same emissions give the same spectra.

  15. Source Sampling: Clairton Coke Plant Alkyl Amine Site Sampling 0.6% Li, Na, K Site Sampling 3.9% Li, Na, K Source Sampling 5% Alkyl Amine Source Sampling 81%

  16. What can we learn about PM problems using Single Particle Analysis? Site-to-site comparisons can be made.

  17. Carbonaceous Ammonium Nitrate Atlanta 58.0% C1+ CO+ NH4+ NO+ C2+ C3+ C4+ Pittsburgh 54.4% NO+ CO+ C1+ NH4+ C3+ C2+ C4+

  18. Na & K Na+ Atlanta 8.0% K+ NO+ NaK+ Na+ Pittsburgh 5.8% K+ NO2+ NaK+ Li+ NO+

  19. What other new directions should there be? Reduced cost, size, weight, power consumption.

  20. Continuous Ion Mobility Spectrometry Copper Net Needle – Sample In Teflon Exhaust Wire to Electrometer Sheath Gas

  21. Thanks to our sponsorsUS EPA, US DOE, Dreyfus Foundation

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