Kinetic modelling for an atmospheric pressure argon plasma jet in humid air

Gaens, Wouter Van; Bogaerts, Annemie

doi:10.1088/0022-3727/46/27/275201

Cited by 276 publications

(327 citation statements)

References 130 publications

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“…The reactions with this species are listed in Ref. 28. The modeling results have been compared with in situ measurements of NO, O, and O 3 with excellent agreement.…”

Section: H Plasma Chemical Kinetics Modelmentioning

confidence: 89%

Identification of the biologically active liquid chemistry induced by a nonthermal atmospheric pressure plasma jet

et al. 2015

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“…The reactions with this species are listed in Ref. 28. The modeling results have been compared with in situ measurements of NO, O, and O 3 with excellent agreement.…”

Section: H Plasma Chemical Kinetics Modelmentioning

confidence: 89%

Identification of the biologically active liquid chemistry induced by a nonthermal atmospheric pressure plasma jet

et al. 2015

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“…Such models may involve dozens of chemical species and thousands of reactions [117,41,95]. Each reaction is characterized by a rate constant, and these are are never known with certainty.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty and error in complex plasma chemistry models

Turner

2015

Plasma Sources Sci. Technol.

101

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Abstract. Chemistry models that include dozens of species and hundreds to thousands of reactions are common in low-temperature plasma physics. The rate constants used in such models are uncertain, because they are obtained from some combination of experiments and approximate theories. Since the predictions of these models are a function of the rate constants, these predictions must also be uncertain. However, systematic investigations of the influence of uncertain rate constants on model predictions are rare to non-existent. In this work we examine a particular chemistry model, for helium-oxygen plasmas. This chemistry is of topical interest because of its relevance to biomedical applications of atmospheric pressure plasmas. We trace the primary sources for every rate constant in the model, and hence associate an error bar (or equivalently, an uncertainty) with each. We then use a Monte Carlo procedure to quantify the uncertainty in predicted plasma species densities caused by the uncertainty in the rate constants. Under the conditions investigated, the range of uncertainty in most species densities is a factor of two to five. However, the uncertainty can vary strongly for different species, over time, and with other plasma conditions. There are extreme (pathological) cases where the uncertainty is more than a factor of ten. One should therefore be cautious in drawing any conclusion from plasma chemistry modelling, without first ensuring that the conclusion in question survives an examination of the related uncertainty. PACS numbers:Uncertainty and Error in Complex Plasma Chemistry Models 2

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“…The HO 2 radical is also considered to be an intrinsic part of the chemical reaction network in cold nonequilibrium atmospheric pressure plasmas, due to its involvement in the generation pathways of the hydroxy radical, OH, one of the most studied reactive species in plasma jets [7][8][9][10][11]. These plasma jets have gained strong attention over the past decade due to their use in the field of plasma medicine [12], where the high reactivity at low gas temperature is crucial for interaction with sensitive biological systems [11].…”

Section: Introductionmentioning

confidence: 99%

Detection of HO₂in an atmospheric pressure plasma jet using optical feedback cavity-enhanced absorption spectroscopy

et al. 2016

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Cold non-equilibrium atmospheric pressure plasma jets are increasingly applied in material processing and plasma medicine. However, their small dimensions make diagnosing the fluxes of generated species a challenge. Here we report on the detection of the hydroperoxyl radical, HO 2 , in the effluent of a plasma jet by the use of optical feedback cavity-enhanced absorption spectroscopy. The spectrometer has a minimum detectable absorption coefficient a min of´-2.25 10 10 cm −1 with a 100 second acquisition, equivalent to´-5.5 10 cm 12 3 of HO 2 (under ideal conditions). Concentrations in the range of (3.1-7.8)×1013 cm −3 were inferred in the 4 mm wide effluent of the plasma jet.

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Kinetic modelling for an atmospheric pressure argon plasma jet in humid air

Cited by 276 publications

References 130 publications

Identification of the biologically active liquid chemistry induced by a nonthermal atmospheric pressure plasma jet

Identification of the biologically active liquid chemistry induced by a nonthermal atmospheric pressure plasma jet

Uncertainty and error in complex plasma chemistry models

Detection of HO₂in an atmospheric pressure plasma jet using optical feedback cavity-enhanced absorption spectroscopy

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Kinetic modelling for an atmospheric pressure argon plasma jet in humid air

Cited by 276 publications

References 130 publications

Identification of the biologically active liquid chemistry induced by a nonthermal atmospheric pressure plasma jet

Identification of the biologically active liquid chemistry induced by a nonthermal atmospheric pressure plasma jet

Uncertainty and error in complex plasma chemistry models

Detection of HO2in an atmospheric pressure plasma jet using optical feedback cavity-enhanced absorption spectroscopy

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Detection of HO₂in an atmospheric pressure plasma jet using optical feedback cavity-enhanced absorption spectroscopy