2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2018
DOI: 10.1109/iemcon.2018.8614877
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Designing of Highly Sensitive Fiber Bragg Grating Based Volume Refractive Index Sensors for Biochemical applications

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Cited by 3 publications
(2 citation statements)
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“…The design strategy of optical fiber grating-based sensors with the effect of mode transition of cladding modes [15]- [17] needs to be optimized as per the order of the cladding modes because it has been observed that the MT behavior of comparative higher-order mode is different from that of lower-order cladding modes. It has been proved and reported earlier that the mode stretching effect can enhance the volume RI sensitivity of the lower-order cladding mode of FBG [26]. In this work, the effect of mode stretching on add-layer sensitivity of cladding modes has been discussed elaborately.…”
Section: Numerical Resultsmentioning
confidence: 66%
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“…The design strategy of optical fiber grating-based sensors with the effect of mode transition of cladding modes [15]- [17] needs to be optimized as per the order of the cladding modes because it has been observed that the MT behavior of comparative higher-order mode is different from that of lower-order cladding modes. It has been proved and reported earlier that the mode stretching effect can enhance the volume RI sensitivity of the lower-order cladding mode of FBG [26]. In this work, the effect of mode stretching on add-layer sensitivity of cladding modes has been discussed elaborately.…”
Section: Numerical Resultsmentioning
confidence: 66%
“…A detail investigation of volume RI sensitivity of cladding mode was reported earlier. In this previous work, the sensitivity of the respective cladding modes was enhanced with the effect of mode transition and mode stretching [26]. Sensitivity can be enhanced further by adjusting the operating wavelength of cladding mode at higher resonance wavelength which was illustrated earlier in case of long-period fiber sensors.…”
Section: Numerical Resultsmentioning
confidence: 67%