Hyper sensitive plasmonic optical system for pollutant detection

Nicolas Javahiraly; Hamza Settouti; Nacer Boubiche; François Le Normand

doi:10.1117/12.2511170

4 March 2019 Hyper sensitive plasmonic optical system for pollutant detection

Nicolas Javahiraly, Hamza Settouti, Nacer Boubiche, François Le Normand

Proceedings Volume 10927, Photonic and Phononic Properties of Engineered Nanostructures IX; 109271T (2019) https://doi.org/10.1117/12.2511170
Event: SPIE OPTO, 2019, San Francisco, California, United States

Abstract

The detection of micro pollutants by new innovative systems is one of the important issues of our society. This study is dedicated to innovative pollutant sensors exploiting the interaction properties between light and original nanostructured materials, in order to create a real jump in performance in terms of detection limit, quantification and sensitivity. The detection of our pesticide is based on the variation of the optical properties of the materials used in the presence of the molecule to be detected. We propose two ways of investigation that are (i) the Surface Plasmon Resonance detection (SPR) in Kretschmann configuration and (2) the use of an original functionalized nano structured organization based on the use of functionalized gold nanoparticles.

Conference Presentation

Citation Download Citation

Nicolas Javahiraly, Hamza Settouti, Nacer Boubiche, and François Le Normand "Hyper sensitive plasmonic optical system for pollutant detection", Proc. SPIE 10927, Photonic and Phononic Properties of Engineered Nanostructures IX, 109271T (4 March 2019); https://doi.org/10.1117/12.2511170

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available