Development of an RF-Driven Plasma Jet System: From Physical Diagnostics to Biomedical Efficacy

Ali Abdulhameed; Ahmed H.Wanas

doi:10.71229/q6e45k87

Authors

Ali Abdulhameed Department of Physics, College of Education, University Al-Qadisiyah
Ahmed H.Wanas Department of Physics, College of Education, University Al-Qadisiyah, Iraq

DOI:

https://doi.org/10.71229/q6e45k87

Keywords:

Atmospheric Pressure Plasma(APP), Argon Plasma Jet, Boltzmann Plot, Stark Broadening , Spectroscopic Diagnostics, Biomedical Applications, Bacteria.

Abstract

In this paper the experimental study of an argon plasma jet at atmospheric pressure is presented. Herein are reported spectroscopic diagnostics of the plasma for a range of operating conditions with an emphasis on its response to variation in input power as a means of fully determining physical parameters. The basic plasma parameters were measured using Optical Emission Spectroscopy (OES). The variation of the electron temperature (T_e) was determined by composing a Boltzmann plot using spectral lines of representing argon atoms. In addition, electron density (n_e) was obtained based on the study of the Stark broadening phenomenon for the spectral lines. The experiment showed an unmistakable linear dependence of the electron temperature and electron density both on the multiplier voltage, which was used to increase the input power, thus confirming an intensification of ionizing activity in plasma. The bio-efficacy of the plasma was then assessed against chosen bacterial species. The findings demonstrated that the produced plasma was highly effective in killing bacterial colonies, where increasing power and electron density was correlated with increased bacterial cell death. The paper concludes that obtaining control on power parameters is an important method of customizing plasma characteristics in order to enhance its applicability and perform better in the context of biomedical applications for sterilization/disinfection processes.

References

[1] H.B. Baniya, R. Shrestha, R.P. Guragain, M.B. Kshetri, B.P. Pandey, D.P. Subedi, Int. J. Polym. Sci., 2020 (2020) 1-7.

[2] A. Segat, N.N. Misra, P.J. Cullen, N. Innocente, Food and Bioprod. Process., 98 (2016) 181-188.

[3] F. Liu, B. Zhang, Z. Fang, M. Wan, H. Wan, K.K. Ostrikov, Plasma Process. Polym., 15(1) (2018) 1-11.

[4] X. Li, C. Di, P. Jia, W. Bao, Plasma Sources Scie. Technol, 22(4) (2013) 093516.

[5] A.M. Lietz, X. Damany, E. Robert, J.-M. Pouvesle, M.J. Kushner, Plasma Sources Scie. Technol., 28(12) (2019) 1-57.

[6] S. Yatom, Y. Luo, Q. Xiong, P.J. Bruggeman, Appl. Physi., 50(41) (2017) 415204.

[7] K.E. Evdokimov, M.E. Konischev, V.F. Pichugin, Z. Sun, Resource-Efficient Technologies, 3(2) (2017) 187-193.

[8] A. K. Bard and Q. A. Abbas, Optik 272, 170346 (2023).

[9] H. R. Humud, Iraqi J. Phys. 15, 142 (2017).

[10] U. S. Inan and M. Gołkowski, Principles of Plasma Physics for Engineers and Scientists (Cambridge, UK, Cambridge University Press, 2010).

[11] S. Waheed, S. Bashir, A. Dawood, S. Anjum, M. Akram, A. Hayat, S. Amin, and A. Zaheer, Optik 140, 536 (2017).

[12] A.M. El Sherbini et al., “Measurements of plasma electron temperature utilizing magnesium lines appeared in laser produced aluminum plasma in air”, Opt. Photon. J., 2(04) (2012) 278.

[13] NIST Atomic Spectra Database, http://www.nist.gov/pml/data/asd.cfm, (21.12.2016).

[14] Lin, K., van der Gaag, T., Kikuchi, W., Akatsuka, H., & Goto, M. (2024). OES diagnostics of atmospheric pressure argon plasma: Electron temperature and density assessment through visible bremsstrahlung inversion method and collisional-radiative model. Applied Physics Letters, 124(23).‏

[15] Barkhordari, Ali, et al. "Influence of the argon admixture on the reactive oxide species formation inside an atmospheric pressure oxygen plasma jet." Scientific Reports 14.1 (2024): 3425.‏

[16] Starikovskaia, S. M., Lafaurie, V., Perrin-Terrin, J. B., & Laux, C. O. (2026). Foundations of plasma-assisted combustion: I. Fundamentals of combustion and plasma. Plasma Sources Science and Technology, 35(2), 023001.‏

[17] Aldeeb, Mustafa A., et al. "Optical Characterization of RF Plasma Torch for Municipal Solid Waste (MSW) Treatment Process." (2023).‏

[18] Dong, Lifang, Junxia Ran, and Zhiguo Mao. "Direct measurement of electron density in microdischarge at atmospheric pressure by Stark broadening." Applied Physics Letters 86.16 (2005).‏

[19] Aadim, Kadhim A., et al. "Influence of gas flow rate on plasma parameters produced by a plasma jet and its spectroscopic diagnosis using the OES technique." IOP Conference Series: Materials Science and Engineering. Vol. 987. No. 1. IOP Publishing, 2020.‏

[20] Yugeswaran, Selvarajan, and V. Selvarajan. "Electron number density measurement on a DC argon plasma jet by stark broadening of Ar I spectral line." Vacuum 81.3 (2006): 347-352.‏

[21] Jin, Xingyue, et al. "Diagnostic study of atmospheric pressure inductively coupled plasma temperature field based on image and relative spectral line method." Vacuum 232 (2025): 113841.‏

[22] Cao, Qilu, et al. "Diagnosis of the two-dimensional spatial distribution of electron density and temperature in atmospheric pressure argon plasma." Vacuum 237 (2025): 114171.‏

[23] Rao, Yifan, et al. "Fighting mixed-species microbial biofilms with cold atmospheric plasma." Frontiers in microbiology 11 (2020): 1000.‏

[24] Fallon, Muireann, et al. "The effect of cold plasma operating parameters on the production of reactive oxygen and nitrogen species and the resulting antibacterial and antibiofilm efficiency." Plasma Medicine 12.1 (2022).‏

[25] Mai-Prochnow, Anne, et al. "Gram positive and Gram negative bacteria differ in their sensitivity to cold plasma." Scientific reports 6.1 (2016): 38610.‏

[26] Lee, Myung-Jin, et al. "The antibacterial effect of non-thermal atmospheric pressure plasma treatment of titanium surfaces according to the bacterial wall structure." Scientific reports 9.1 (2019): 1938.‏J. O. Williams, “Narrow-band analyzer,” Ph.D. dissertation, Dept. Elect. Eng., Harvard Univ., Cambridge, MA, 1993.

[27] B. Klaus and P. Horn, Robot Vision. Cambridge, MA: MIT Press, 1986.