Skip to main content
Log in

SPR gas sensor with corona discharge

  • Published:
Optical Memory and Neural Networks Aims and scope Submit manuscript

Abstract

Surface plasmon resonance (SPR)-based sensors are widely used today for express analysis of liquid biological mediums in microbiology, medicine and genetic engineering. They are also used for detecting different contaminants in gaseous mediums. In this case, the main problem of such sensors development is choosing of selective sorbents applied to the sensor surface of for detecting a specific contaminant. Sorbent properties in combination with SPR high sensitivity define the achievable sensor parameters. At nanometer thicknesses of sorbents, the surface condition defines the main contribution to the sensor properties. The impact of the positive corona discharge plasma leads to an effective desorption of extraneous contaminants that block active adsorption centers. Furthermore, the sensor surface is exposed to radicals generated in the discharge plasma under ionization of contaminants. In the present paper, we discuss the possibility of using the corona discharge effects for developing SPR sensors, allowing one to detect trace contaminants in gaseous mediums.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Rayzner, Yu.P., Physics of Gas Discharge, M.: Nauka, 1992, p. 536.

    Google Scholar 

  2. Sekimoto, K. and Takayama, M., Negative ion evolution and formation in atmospheric pressure corona discharges between point-to-plane electrodes, Proc. 30th ICPIG, August 28th–September 2nd 2011, Belfast, Northern Ireland, UK.

  3. Surface Plasmon Resonance Based Sensors. Springer Series on Chemical Sensors and Biosensors. 2006, vol. 4, pp. 1612–7617.

  4. Handbook of Surface Plasmon Resonance, Schasfoort, R.B.M. and Tudos, A.J., Cambridge, UK: Published by The Royal Society of Chemistry, 2008.

    Google Scholar 

  5. Maier, S.A., Plasmonics: Fundamentals and Applications, Springer, Science+Business Media LLC, 2007, p. 177.

    Google Scholar 

  6. Sarid, D. and Challener, W.A., Modern Introduction to Surface Plasmons: Theory, Mathematica, Modeling and Applications, Cambridge University Press, 2010.

    Book  Google Scholar 

  7. Mikaelian, A.L., Kryzhanovsky, B.V., Palagushkin, A.N., Prokopenko, S.A., Sergeev, A.P., Yudkin F.A., and Arlamenkov, A.N., Sensors Using Plasmon Nanostructures, Optical Memory and Neural Networks (Information Optics), 2005, vol. 14, no. 4, pp. 229–244.

    Google Scholar 

  8. Palagushkin, A.N., Prokopenko, S.A., and Sergeev, A.P., Measurement of metal nanolayers optical parameters using surface plasmon resonance method, Optical Memory and Neural Networks (Information Optics), 2007, vol. 16, no. 4, pp. 288–294.

    Article  Google Scholar 

  9. Palagushkin, A.N., Prokopenko, S.A., and Sergeev, A.P., Plasmonic holographic nanostructures, Optical Memory and Neural Networks (Information Optics), 2009, vol. 18, no. 3, pp. 156–163.

    Article  Google Scholar 

  10. Palagushkin, A.N., Prokopenko, S.A., and Sergeev, A.P., The effect of corona_discharge plasma on surface plasmon resonance properties, Optical Memory and Neural Networks (Information Optics), 2014, vol. 23, no. 4, pp. 218–224.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. N. Palagushkin.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Palagushkin, A.N., Prokopenko, S.A. & Sergeev, A.P. SPR gas sensor with corona discharge. Opt. Mem. Neural Networks 24, 1–7 (2015). https://doi.org/10.3103/S1060992X1501004X

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1060992X1501004X

Keywords

Navigation