2015
DOI: 10.1016/j.optcom.2015.04.070
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Refractometer based on Mach–Zehnder interferometer with peanut-shape structure

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Cited by 14 publications
(3 citation statements)
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“…Table 1 lists the performance of this RI sensor compared to other previous sensors of similar structure. To the best of our knowledge, our sensor has high sensitivity at high RI and is significantly better than other works in terms of sensitivity [11][12][13][14][15][16][17][18][19][20]29]. At the same time, the proposed sensors are highly stable, small, easy to manufacture, and have cost-effective sensor configurations.…”
Section: Experiments and Discussionmentioning
confidence: 86%
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“…Table 1 lists the performance of this RI sensor compared to other previous sensors of similar structure. To the best of our knowledge, our sensor has high sensitivity at high RI and is significantly better than other works in terms of sensitivity [11][12][13][14][15][16][17][18][19][20]29]. At the same time, the proposed sensors are highly stable, small, easy to manufacture, and have cost-effective sensor configurations.…”
Section: Experiments and Discussionmentioning
confidence: 86%
“…To improve the sensitivity of the sensor, the effective approach is to make MZIs with novel structures such as peanut-shaped structures [12,13], vase-shaped structures [14], spindle-shaped structures [15], sphericalshaped structures [16], and so on. In 2015, Huang et al first reported the MZI of the double peanut-shaped structures for RI measurements [17]. There are different sensitivities of −50.3 nm/RIU and −93.4 nm/RIU, respectively, for ranges of 1.3334-1.3606 and 1.3606-1.4280.…”
Section: Introductionmentioning
confidence: 99%
“…Hsu et al fabricated an MZI temperature sensor containing a section of single-mode fiber (SMF) sandwiched between a no-core fiber and a waist-enlarged taper [10]. Huang et al developed an MZI refractive index sensor containing two cascaded peanut-shaped structures [11]. Yang et al proposed an S-tapered fiber sensor for refractive index and strain measurement [12].…”
Section: Introductionmentioning
confidence: 99%