P1.3.10 Lossy Mode Resonance Optical Fiber Sensor to Detect Organic Vapors
Author(s) -
César Elosúa,
I. Vidondo,
Francisco J. Arregui,
Cándido Bariáin,
Ignacio R. Matı́as,
Asunción Luquín,
Manuel Laguna
Publication year - 2012
Publication title -
proceedings imcs 2012
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5162/imcs2012/p1.3.10
Subject(s) - lossy compression , materials science , fiber optic sensor , optical fiber , optoelectronics , mode (computer interface) , resonance (particle physics) , fiber , optics , computer science , physics , composite material , artificial intelligence , atomic physics , operating system
Trabajo presentado al 14th International Meeting\udon Chemical Sensors celebrado en Nuremberg (Alemania) del 20 al 23 de mayo de 2012.A transmission sensor able to detect Volatile Organic Compounds (VOCs) has been developed using optical fiber with Plastic Cladding (PCS). Specifically, 1.5 cm of the cladding was removed: along this section, polymer nanolayers were deposited by means of the Layer-by-Layer method (LbL). This structure was doped with an organometallic material sensitive to VOCs. In this manner, Lossy Mode Resonances (LMRs) were induced in the transmission spectra of the sensor showing a wavelength shift as the nano structure grown. The sensing material accelerated the LMRs appearance with respect to the nanolayers without additive reported in previous works, and also, its spectral shift. Once the construction process was completed, two LMRs were observed: the first one was located at 778 nm and the second one at 463 nm. In presence of ethanol vapors, the sensor spectrum varied, showing the first LMR peak a remarkable shift of 100 nm. This behavior is reversible and was also registered for isopropanol vapors. The sensor response was analyzed as well for different concentrations of ethanol vapors.The authors would like to acknowledge the financial support from the Spanish Ministerio de Educación y Ciencia through projects TEC2010-17805 and TEC2010-20224-C02-01.Peer Reviewe
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