Literature DB >> 18324027

Measurement of the degree of salinity of water with a fiber-optic sensor.

O Esteban1, M Cruz-Navarrete, A González-Cano, E Bernabeu.   

Abstract

A fiber-optic sensor based on surface-plasmon resonance for the determination of the refractive index is used for measuring the degree of salinity of water. The transducing element consists of a multilayer structure deposited on a side-polished monomode optical fiber. Measuring the attenuation of the power transmitted by the fiber shows that a linear relation with the refractive index of the outer medium of the structure is obtained. The system is characterized by use of a varying refractive index obtained with a mixture of water and ethylene glycol. Experimental results show that the sensor can be used as a salinity-degree measurement device with environmental applications.

Entities:  

Year:  1999        PMID: 18324027     DOI: 10.1364/ao.38.005267

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  5 in total

1.  Optically transparent porous medium for nondestructive studies of microbial biofilm architecture and transport dynamics.

Authors:  Andrew P Leis; Sven Schlicher; Hilmar Franke; Martin Strathmann
Journal:  Appl Environ Microbiol       Date:  2005-08       Impact factor: 4.792

2.  Mapping the salinity gradient in a microfluidic device with schlieren imaging.

Authors:  Chen-li Sun; Shao-Tuan Chen; Po-Jen Hsiao
Journal:  Sensors (Basel)       Date:  2015-05-20       Impact factor: 3.576

Review 3.  Plasmonic sensors based on doubly-deposited tapered optical fibers.

Authors:  Agustín González-Cano; María-Cruz Navarrete; Óscar Esteban; Natalia Díaz-Herrera
Journal:  Sensors (Basel)       Date:  2014-03-10       Impact factor: 3.576

4.  Temperature-Insensitive Refractive Index Sensor with Etched Microstructure Fiber.

Authors:  Bin Dai; Xiang Shen; Xiongwei Hu; Luyun Yang; Haiqing Li; Jinggang Peng; Jinyan Li
Journal:  Sensors (Basel)       Date:  2019-08-30       Impact factor: 3.576

Review 5.  Corrosion Sensors for Structural Health Monitoring of Oil and Natural Gas Infrastructure: A Review.

Authors:  Ruishu F Wright; Ping Lu; Jagannath Devkota; Fei Lu; Margaret Ziomek-Moroz; Paul R Ohodnicki
Journal:  Sensors (Basel)       Date:  2019-09-13       Impact factor: 3.576

  5 in total

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