Preprints
https://doi.org/10.5194/amt-2022-88
https://doi.org/10.5194/amt-2022-88
 
13 Apr 2022
13 Apr 2022
Status: this preprint is currently under review for the journal AMT.

Modelling ultrafine particle growth based on flow tube reactor measurements

Michael S. Taylor Jr., Devon N. Higgins, and Murray V. Johnston Michael S. Taylor Jr. et al.
  • Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware, 19711, United States

Abstract. Flow tube reactors are often used to study the growth of secondary organic aerosol (SOA). Because a significant amount of growth must occur over the short residence time of the flow tube, precursor mixing ratios in a flow tube experiment are generally much higher than ambient values. In this study, a model of SOA growth based on condensation of nonvolatile molecules, partitioning of semivolatile molecules, and reaction of semivolatile molecules in the particle volume to produce nonvolatile dimers, is used to compare particle growth under atmospherically relevant conditions to those under typical flow tube conditions. The focus is on the diameter growth of particles in the 10 to 100 nm diameter range, where growth rates can have a substantial impact on formation of cloud condensation nuclei. In this size range, both particle surface- and volume-limited kinetics may apply. Modelling shows that the higher precursor mixing ratios of a flow tube experiment cause surface-limited kinetics to be more prevalent in the flow tube than under atmospheric conditions. SOA formation is characterized by the growth yield (GY), defined as the yield of oxidation products that are to grow the particles. Defined in this way, GY is the sum of all nonvolatile products that condensationally grow particles plus a portion of semivolatile particles that react in the particle volume to give nonvolatile dimers. Modelling shows that GY actually changes as a function of time within the flow tube. The experimentally determined GY from the measured inlet-outlet diameter change of particles in a flow tube experiment closely tracks the average of the time-dependent GY obtained from modelling specific chemical processes. Modelling is also used to explore the effects of seed particle size (40, 60, 80 nm dia.), phase state (deliquesced vs. effloresced), and surface state (interfacial water), as well as precursor mixing ratio, all of which are shown to substantially influence SOA formation under the conditions studied.

Michael S. Taylor Jr. et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-88', Anonymous Referee #2, 02 May 2022
  • RC2: 'Comment on amt-2022-88', Anonymous Referee #1, 23 May 2022

Michael S. Taylor Jr. et al.

Michael S. Taylor Jr. et al.

Viewed

Total article views: 284 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
244 30 10 284 3 5
  • HTML: 244
  • PDF: 30
  • XML: 10
  • Total: 284
  • BibTeX: 3
  • EndNote: 5
Views and downloads (calculated since 13 Apr 2022)
Cumulative views and downloads (calculated since 13 Apr 2022)

Viewed (geographical distribution)

Total article views: 270 (including HTML, PDF, and XML) Thereof 270 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 May 2022
Download
Short summary
Flow tube reactors are well suited for studying the kinetics of particle growth, but they also have limitations. In this work, we model SOA formation in a flow tube reactor and compare the reaction kinetics to those expected in the atmosphere. We find that particle surface-limited growth is more prevalent in a flow tube and that growth kinetics can change as a function of time inside the reactor. The results give insight into how to relate growth in a flow tube to the atmosphere.