Cascaded Fiber-optic Fabry-Perot Interferometers with Vernier Effect for Highly Sensitive Measurement of Axial Strain and Magnetic Field
Overview
Ophthalmology
Affiliations
We report a highly sensitive fiber-optic sensor based on two cascaded intrinsic fiber Fabry-Perot interferometers (IFFPIs). The cascaded IFFPIs have different free spectral ranges (FSRs) and are formed by a short section of hollow core photonic crystal fiber sandwiched by two single mode fibers. With the superposition of reflective spectrum with different FSRs, the Vernier effect will be generated in the proposed sensor and we found that the strain sensitivity of the proposed sensor can be improved from 1.6 pm/με for a single IFFPI sensor to 47.14 pm/με by employing the Vernier effect. The sensor embed with a metglas ribbon can be also used to measure the magnetic field according to the similar principle. The sensitivity of the magnetic field measurement is achieved to be 71.57 pm/Oe that is significantly larger than the 2.5 pm/Oe for a single IFFPI sensor.
Liu Y, Lin W, Hu J, Zhao F, Yu F, Liu S Sensors (Basel). 2023; 23(14).
PMID: 37514926 PMC: 10386544. DOI: 10.3390/s23146632.
Highly Sensitive Strain Sensor by Utilizing a Tunable Air Reflector and the Vernier Effect.
Mumtaz F, Roman M, Zhang B, Abbas L, Ashraf M, Dai Y Sensors (Basel). 2022; 22(19).
PMID: 36236657 PMC: 9572069. DOI: 10.3390/s22197557.
Fiber Optic Load Cells with Enhanced Sensitivity by Optical Vernier Effect.
Paixao T, Ferreira R, Domingues M, Antunes P Sensors (Basel). 2021; 21(22).
PMID: 34833811 PMC: 8623249. DOI: 10.3390/s21227737.
Vernier effect using in-line highly coupled multicore fibers.
Cuando-Espitia N, Fuentes-Fuentes M, Velazquez-Benitez A, Amezcua R, Hernandez-Cordero J, May-Arrioja D Sci Rep. 2021; 11(1):18383.
PMID: 34526569 PMC: 8443681. DOI: 10.1038/s41598-021-97646-0.
Giant refractometric sensitivity by combining extreme optical Vernier effect and modal interference.
Gomes A, Kobelke J, Bierlich J, Dellith J, Rothhardt M, Bartelt H Sci Rep. 2020; 10(1):19313.
PMID: 33168867 PMC: 7652940. DOI: 10.1038/s41598-020-76324-7.