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PublicationArticle Performance of graphene–MoS2 based surface plasmon resonance sensor using Silicon layer(Springer New York LLC, 2015) J.B. Maurya; Y.K. Prajapati; V. Singh; J.P. Saini; Rajeev TripathiIn this paper a graphene–MoS2 hybrid structure based surface plasmon resonance biosensor is presented. The performance parameters of the proposed sensor are defined in terms of sensitivity, detection accuracy and quality factor. By the addition of hybrid graphene–MoS2 layer the sensitivity is enhanced but the quality factor and detection accuracy is decreased. Hence to increase the quality factor and detection accuracy a silicon layer is included between metal and MoS2 layer. It is observed that the full width at half maximum of reflectance curve is minimized up to great extent with little decrement in the sensitivity due to the inclusion of silicon layer. Furthermore in this paper, the effect of increasing the number of layers of graphene and MoS2 is also analyzed. © 2015, Springer Science+Business Media New York.PublicationArticle Influence of metal roughness on SPR sensor performance(Elsevier B.V., 2017) Sajal Agarwal; Y.K. Prajapati; V. SinghRoughness of the nano-layer greatly affects the sensor performance. This study is done to quantify the effect of roughness on the sensor performance experimentally. It is seen that the increased thickness of the top metal layer degrades the sensor performance i.e. sensitivity and detection accuracy. The roughness effect on the surface is seen by varying the thickness of intermediate and top metal layers separately. It is seen that 2–5 nm thick intermediate layer and 50 nm thick top layer provides better performance of sensor. Also, mathematical equations are included for the sake of theoretical analysis which indicates the effect of surface roughness on the sensor performance. © 2016 Elsevier B.V.PublicationArticle Improved performance of the surface plasmon resonance biosensor based on graphene or MoS2 using silicon(Elsevier, 2016) J.B. Maurya; Y.K. Prajapati; V. Singh; J.P. Saini; Rajeev TripathiIn this paper a biosensor based on surface plasmon resonance is presented. This sensor is based on Kretschmann configuration. First of all, the thickness of gold and silicon layers is optimized under the consideration of sensitivity, full width at half maximum, and minimum reflectance. After that, at the optimized thicknesses of gold and silicon layers, the performance of the sensor in terms of sensitivity, detection accuracy and quality factor is analyzed. The effect of increasing the number of layers of the graphene and MoS2 on the performance is also analyzed. It is observed that all the performance parameters are enhanced if a silicon layer is deposited between the gold and graphene layer. It is also observed that if graphene is replaced with MoS2, the detection accuracy and the quality factor improve with great extent while maintaining the sensitivity. © 2015 Elsevier B.V. All rights reserved.PublicationArticle Performance study of a liquid-core Bragg fiber sensor in presence of a defect layer(Association of Polish Electrical Engineers (SEP), 2017) R.K. Chourasia; S. Prasad; V. SinghPerformance parameter of a Bragg fiber waveguide based resonant sensor in presence of a defect layer in cladding regions is theoretically studied. The Bragg fiber waveguide consists of a liquid-core surrounded by alternate high and low refractive indices materials in cladding regions. Reflectivity of the proposed waveguide based resonant sensor is formulated using transfer matrix method for a non-homogeneous multilayer cylindrical system. The waveguide shows a band gap region with a narrow defect mode in the band gap region under the considered wavelength range. Instead of taking a whole band gap as a sensing signal, here the defect peak is taken as the sensing signal. It is observed that the intensity of defect mode is more sensitive for core refractive index than the intensity of traditional band gap region (lobe). This study shows that the higher sensitivity can be achieved by creating the defect at a position in cladding region where the intensity of transmitted light lies between 40% and 90%. Presence of a defect layer is able to increase the detection accuracy of the sensor and, hence increase the overall performance of this sensor. © 2017 Association of Polish Electrical Engineers (SEP)