Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractChemical Species Recognition in a Tetragnatha Spider (Araneae: Tetragnathidae)    Next AbstractComparison of chemical composition and antibacterial activity of lavender varieties from Poland »

Appl Opt


Title:Binary coded identification of industrial chemical vapors with an optofluidic nose
Author(s):Adamu AI; Ozturk FE; Bayindir M;
Address:
Journal Title:Appl Opt
Year:2016
Volume:55
Issue:36
Page Number:10247 - 10254
DOI: 10.1364/AO.55.010247
ISSN/ISBN:1539-4522 (Electronic) 1559-128X (Linking)
Abstract:"An artificial nose system for the recognition and classification of gas-phase analytes and its application in identifying common industrial gases is reported. The sensing mechanism of the device comprises the measurement of infrared absorption of volatile analytes inside the hollow cores of optofluidic Bragg fibers. An array of six fibers is used, where each fiber targets a different region of the mid-infrared in the range of 2-14 mum with transmission bandwidths of about 1-3 mum. The quenching in the transmission of each fiber due to the presence of analyte molecules in the hollow core is measured separately and the cross response of the array allows the identification of virtually any volatile organic compound (VOC). The device was used for the identification of seven industrial VOC vapors with high selectivity using a standard blackbody source and an infrared detector. The array response is registered as a unique six digit binary code for each analyte by assigning a threshold value to the fiber transmissions. The developed prototype is a comprehensive and versatile artificial nose that is applicable to a wide range of analytes"
Keywords:
Notes:"PubMed-not-MEDLINEAdamu, Abubakar Isa Ozturk, Fahri Emre Bayindir, Mehmet eng 2017/01/07 Appl Opt. 2016 Dec 20; 55(36):10247-10254. doi: 10.1364/AO.55.010247"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 25-12-2024