Diagnostic-based modeling on a micro-scale atmospheric-pressure plasma jet

J. Waskoenig, Kari Niemi, N. Knake, L.M. Graham, Stephan Reuter, V. Schulz-von Der Gathen, Timo Gans Gans

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


Diagnostic-based modeling (DBM) actively combines complementary advantages of numerical plasma simulations and relatively simple optical emission spectroscopy (OES). DBM is applied to determine spatial absolute atomic oxygen ground-state density profiles in a micro atmospheric-pressure plasma jet operated in He–O2. A 1D fluid model with semi-kinetic treatment of the electrons yields detailed information on the electron dynamics and the corresponding spatio-temporal electron energy distribution function. Benchmarking this time- and space-resolved simulation with phase-resolved OES (PROES) allows subsequent derivation of effective excitation rates as the basis for DBM. The population dynamics of the upper O(3p3P) oxygen state (? = 844 nm) is governed by direct electron impact excitation, dissociative excitation, radiation losses, and collisional induced quenching. Absolute values for atomic oxygen densities are obtained through tracer comparison with the upper Ar(2p1) state (? = 750.4 nm). The resulting spatial profile for the absolute atomic oxygen density shows an excellent quantitative agreement to a density profile obtained by two-photon absorption laser-induced fluorescence spectroscopy.
Original languageEnglish
Pages (from-to)1209-1222
Number of pages14
JournalPure and Applied Chemistry
Volume82 (6)
Issue number6
Publication statusPublished - Apr 2010

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)

Fingerprint Dive into the research topics of 'Diagnostic-based modeling on a micro-scale atmospheric-pressure plasma jet'. Together they form a unique fingerprint.

Cite this