2019
DOI: 10.1007/s13320-019-0563-8
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All-Optical Humidity Sensor Using SnO2 Nanoparticle Drop Coated on Straight Channel Optical Waveguide

Abstract: The straight channel optical waveguide coated with the SnO 2 nanoparticle is studied as an all-optical humidity sensor. The proposed sensor shows that the transmission loss of the waveguide increases with increasing relative humidity (RH) from 56% to 90% with very good repeatability. The sensitivity to changes in relative humidity is ~2 dB/% RH. The response time of the humidity sensor is 2.5 s, and the recovery time is 3.5 s. The response to humidity can be divided into 3 different regions, which are correlat… Show more

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Cited by 9 publications
(3 citation statements)
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“…Nur Abdillah Siddiq et al [ 184 ] exploited SnO 2 on a planar optical waveguide to introduce humidity-dependent attenuation. A silicon wafer with a thermal oxide layer was used as the substrate and undercladding layer for the optical waveguide.…”
Section: Literature and The State-of-the-artmentioning
confidence: 99%
“…Nur Abdillah Siddiq et al [ 184 ] exploited SnO 2 on a planar optical waveguide to introduce humidity-dependent attenuation. A silicon wafer with a thermal oxide layer was used as the substrate and undercladding layer for the optical waveguide.…”
Section: Literature and The State-of-the-artmentioning
confidence: 99%
“…The utilization of functional materials in the fabrication of optical humidity sensors continues to be the prevailing approach in contemporary research. At present, sensors have been developed by employing organic materials containing hydrophilic groups, such as polymers [14] , sugars [15] , and proteins [16] , as well as traditional gas sensitive metallic oxides, such as ZnO [17] , SnO 2 [18] , and SiO 2 [19] . However, these materials exhibit low-refractive-index changes after adsorbing water molecules and require thick films to achieve a sufficient optical signal response.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, some MEQ data processing software applies a minimum number of stations used for processing, in order to obtain a more representative MEQ hypocenter model (Kissling, 1998;Kissling et al, 1995;Nishi, 2005). When the number of stations used does not reach the minimum limit, it will produce a relatively large error value, resulting in less accurate identification of the hypocenter (Bondár et al, 2004;Huang et al, 2018;Küperkoch et al, 2018;Siddiq et al, 2020).…”
Section: Introductionmentioning
confidence: 99%