| Full text | |
| Author(s): |
Fujiwara, Eric
[1]
;
da Silva, Luiz Evaristo
[2]
;
Cabral, Thiago Destri
[2]
;
de Freitas, Hugo Eugenio
[2]
;
Wu, Yu Tzu
[1]
;
de Barros Cordeiro, Cristiano Monteiro
[2]
Total Authors: 6
|
| Affiliation: | [1] Univ Estadual Campinas, Sch Mech Engn, Lab Photon Mat & Devices, BR-13083860 Campinas, SP - Brazil
[2] Univ Estadual Campinas, Gleb Wataghin Inst Phys, BR-13083859 Campinas, SP - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | Journal of Lightwave Technology; v. 37, n. 19, p. 5041-5047, OCT 1 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
An optical fiber specklegram chemical sensor based on a concatenated multimode-no-core-multimode structure is reported. The 30 mm-no-core section is immersed in the analyzed liquid so the number of excited modes is modulated by the surrounding refractive index value, affecting the interference of the several propagating modes and consequently the output specklegram, whose changes are quantified by the zero mean normalized cross-correlation coefficient. The sensor was evaluated on the measurement of ethanol-water solutions, resulting in 18.7 RIU-1 sensitivity (5 x 10(-4) resolution) for the 1.33 to 1.36 refractive index interval, besides 0.07 degrees C-1 temperature sensitivitywithin the 26-32. Crange. Moreover, the systemwas also tested on liquid level measurements, yielding 0.05 mm(-1) sensitivity and 0.2 mm resolution. The results are comparable to previously reported multimodal interferometers based onmore complicated interrogation schemes, indicating that the specklegram sensor is a feasible alternative for the sensitive and straightforward measurement of liquid samples. (AU) | |
| FAPESP's process: | 14/50632-6 - Surface-plasmon resonance sensors based on microstructured optical fiber |
| Grantee: | Cristiano Monteiro de Barros Cordeiro |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 17/25666-2 - Development of an optical fiber force myography sensor for applications in human-robot interfaces |
| Grantee: | Eric Fujiwara |
| Support Opportunities: | Regular Research Grants |