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Modeling of a novel SCHOTT B270 prism based SPR sensor using Ag-Si-BP/MXene structure for detection of specific biological samples

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Abstract

This paper bestows a numerical modeling of novel SCHOTT B270 prism-based surface plasmon resonance (SPR) sensor to detect the specific biological samples, such as hemoglobin (HB) in blood and urine glucose level. The proposed structure is portrayed based on Kretschmann configuration and is comprised of the prism, silver (Ag), silicon (Si), black phosphorus (BP)/carbides and nitrides (MXene) and sensing medium. In this juncture, two different structures, such as structurer-I and II, have been made by deploying the above-defined layers. The transfer matrix theory and the angular interrogation technique are exploited to investigate the SPR performance at 633 nm wavelength. The performances of the B270 and familiar BK prism-based structures are compared and endorsed the B270 prism-based structure yields better performance. Moreover, the SPR performance parameters for detection processes of HB in blood and urine glucose level have been computed for a range of refractive indices of their concentration levels. Results reveal that the maximum sensitivity (S) of 315.79 deg/RIU, dip-of-figure-of-merit (DFOM) of 38,583,333.33, quality-factor (QF) of 46.10 RIU−1, and detection-accuracy (DA) of 0.837 for the HB detection process. Similarly, the maximum S of 310 deg/RIU, DFOM of 1,350,000.00, QF of 43.18 RIU−1, and DA of 0.518 for the detection process of urine glucose level. Finally, the comparative study has been carried out at the end. Therefore, the proposed study provides the high-performance carrier for the detection of HB in blood and urine glucose level, and made a new way for the field of biomedical and biological.

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Correspondence to Yesudasu Vasimalla.

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Guest edited by Jelena Radovanovic, Dragan Indjin, Maja Nesic, Nikola Vukovic and Milena Milosevic.

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Vasimalla, Y., Pradhan, H.S. Modeling of a novel SCHOTT B270 prism based SPR sensor using Ag-Si-BP/MXene structure for detection of specific biological samples. Opt Quant Electron 54, 612 (2022). https://doi.org/10.1007/s11082-022-04022-x

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  • DOI: https://doi.org/10.1007/s11082-022-04022-x

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