Dynamics of reactive oxygen species produced by the COST microplasma jet

Sascha Chur; Robin Minke; Youfan He; Máté Vass; Thomas Mussenbrock; Ralf Peter Brinkmann; Efe Kemaneci; Lars Schücke; Volker Schulz-von der Gathen; Andrew R. Gibson; Marc Böke; Judith Golda

doi:10.48550/arXiv.2505.10204

Dynamics of reactive oxygen species produced by the COST microplasma jet

Sascha Chur, Robin Minke, Youfan He, Máté Vass, Thomas Mussenbrock, Ralf Peter Brinkmann, Efe Kemaneci, Lars Schücke, Volker Schulz-von der Gathen, Andrew R. Gibson, Marc Böke, Judith Golda

Physics

Research output: Working paper › Preprint

Abstract

This study is focused on measuring the densities of the excited molecular oxygen species, O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ and O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$, produced in a COST atmospheric pressure plasma jet using a helium-oxygen mixture. Knowledge of the ozone density is critical for measurements because of its high quenching rate of these species. Additionally O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ is difficult to measure, due to its low emission intensity and sensitivity to background interference in the plasma region. Therefore a flow cell was used to enhance signal detection in the effluent region. To validate the measurements and improve understanding of reaction mechanisms, results were compared with two simulation models: a pseudo-1D plug flow simulation and a 2D fluid simulation. The plug flow simulation provided an effective means for estimating species densities, with a fast computation time. The 2D simulation offered a more realistic description of the flow dynamics, which proved critical to correctly describe the experimental trends. However, it requires long computation times to reach an equilibrium state in the flow cell. Otherwise, it leads to discrepancies to the experimental data. Further discrepancies arose, from an overestimation of the ozone density from the models, as validated from the O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$ density measurements. Optimizing the reaction rate coefficients for the effluent region might improve the agreement with the experimental results. Despite these limitations both simulations aligned reasonably well with experimental data, showcasing the well validated plasma chemistry of the models, even for complicated effluent geometries.

Original language	English
Publisher	arXiv
DOIs	https://doi.org/10.48550/arXiv.2505.10204
Publication status	Published - 15 May 2025

Keywords

physics.plasm-ph
cond-mat.mtrl-sci

Access to Document

10.48550/arXiv.2505.10204

Cite this

@techreport{4f69746dc1e9476f8b86923a555e5bcb,

title = "Dynamics of reactive oxygen species produced by the COST microplasma jet",

abstract = " This study is focused on measuring the densities of the excited molecular oxygen species, O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ and O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$, produced in a COST atmospheric pressure plasma jet using a helium-oxygen mixture. Knowledge of the ozone density is critical for measurements because of its high quenching rate of these species. Additionally O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ is difficult to measure, due to its low emission intensity and sensitivity to background interference in the plasma region. Therefore a flow cell was used to enhance signal detection in the effluent region. To validate the measurements and improve understanding of reaction mechanisms, results were compared with two simulation models: a pseudo-1D plug flow simulation and a 2D fluid simulation. The plug flow simulation provided an effective means for estimating species densities, with a fast computation time. The 2D simulation offered a more realistic description of the flow dynamics, which proved critical to correctly describe the experimental trends. However, it requires long computation times to reach an equilibrium state in the flow cell. Otherwise, it leads to discrepancies to the experimental data. Further discrepancies arose, from an overestimation of the ozone density from the models, as validated from the O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$ density measurements. Optimizing the reaction rate coefficients for the effluent region might improve the agreement with the experimental results. Despite these limitations both simulations aligned reasonably well with experimental data, showcasing the well validated plasma chemistry of the models, even for complicated effluent geometries. ",

keywords = "physics.plasm-ph, cond-mat.mtrl-sci",

author = "Sascha Chur and Robin Minke and Youfan He and M{\'a}t{\'e} Vass and Thomas Mussenbrock and Brinkmann, {Ralf Peter} and Efe Kemaneci and Lars Sch{\"u}cke and {der Gathen}, {Volker Schulz-von} and Gibson, {Andrew R.} and Marc B{\"o}ke and Judith Golda",

year = "2025",

month = may,

day = "15",

doi = "10.48550/arXiv.2505.10204",

language = "English",

publisher = "arXiv",

type = "WorkingPaper",

institution = "arXiv",

}

TY - UNPB

T1 - Dynamics of reactive oxygen species produced by the COST microplasma jet

AU - Chur, Sascha

AU - Minke, Robin

AU - He, Youfan

AU - Vass, Máté

AU - Mussenbrock, Thomas

AU - Brinkmann, Ralf Peter

AU - Kemaneci, Efe

AU - Schücke, Lars

AU - der Gathen, Volker Schulz-von

AU - Gibson, Andrew R.

AU - Böke, Marc

AU - Golda, Judith

PY - 2025/5/15

Y1 - 2025/5/15

N2 - This study is focused on measuring the densities of the excited molecular oxygen species, O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ and O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$, produced in a COST atmospheric pressure plasma jet using a helium-oxygen mixture. Knowledge of the ozone density is critical for measurements because of its high quenching rate of these species. Additionally O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ is difficult to measure, due to its low emission intensity and sensitivity to background interference in the plasma region. Therefore a flow cell was used to enhance signal detection in the effluent region. To validate the measurements and improve understanding of reaction mechanisms, results were compared with two simulation models: a pseudo-1D plug flow simulation and a 2D fluid simulation. The plug flow simulation provided an effective means for estimating species densities, with a fast computation time. The 2D simulation offered a more realistic description of the flow dynamics, which proved critical to correctly describe the experimental trends. However, it requires long computation times to reach an equilibrium state in the flow cell. Otherwise, it leads to discrepancies to the experimental data. Further discrepancies arose, from an overestimation of the ozone density from the models, as validated from the O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$ density measurements. Optimizing the reaction rate coefficients for the effluent region might improve the agreement with the experimental results. Despite these limitations both simulations aligned reasonably well with experimental data, showcasing the well validated plasma chemistry of the models, even for complicated effluent geometries.

AB - This study is focused on measuring the densities of the excited molecular oxygen species, O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ and O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$, produced in a COST atmospheric pressure plasma jet using a helium-oxygen mixture. Knowledge of the ozone density is critical for measurements because of its high quenching rate of these species. Additionally O$_{2}(\text{a}^{1}\Delta_{\text{g}})$ is difficult to measure, due to its low emission intensity and sensitivity to background interference in the plasma region. Therefore a flow cell was used to enhance signal detection in the effluent region. To validate the measurements and improve understanding of reaction mechanisms, results were compared with two simulation models: a pseudo-1D plug flow simulation and a 2D fluid simulation. The plug flow simulation provided an effective means for estimating species densities, with a fast computation time. The 2D simulation offered a more realistic description of the flow dynamics, which proved critical to correctly describe the experimental trends. However, it requires long computation times to reach an equilibrium state in the flow cell. Otherwise, it leads to discrepancies to the experimental data. Further discrepancies arose, from an overestimation of the ozone density from the models, as validated from the O$_{2}(\text{b}^{1}\Sigma_{\text{g}}^{+})$ density measurements. Optimizing the reaction rate coefficients for the effluent region might improve the agreement with the experimental results. Despite these limitations both simulations aligned reasonably well with experimental data, showcasing the well validated plasma chemistry of the models, even for complicated effluent geometries.

KW - physics.plasm-ph

KW - cond-mat.mtrl-sci

U2 - 10.48550/arXiv.2505.10204

DO - 10.48550/arXiv.2505.10204

M3 - Preprint

BT - Dynamics of reactive oxygen species produced by the COST microplasma jet

PB - arXiv

ER -