Performance Analysis of SPR Sensor Based on Tin Di‐selenide, Silicon and Lead Titanate for Malaria Detection

Abstract This paper introduces the design of a high‐performance Surface Plasmon Resonance (SPR) sensor using a SnSe 2 /Si/PbTiO 3 heterostructure for detecting malaria, targeting the different stages of the plasmodium parasite lifecycle. The Tin di‐selenide (SnSe 2 ) with high refractive index (RI) and excellent absorption property in visible and infrared regions allows efficient interaction with the evanescent field, thereby increasing sensitivity for small RI changes near the surface. The strategic integration of lead titanate (PbTiO 3 ), known for its high RI and tunable bandgap, with SnSe 2 and Silicon (Si) layers, the proposed sensor design (FK51A‐prism/Ag/SnSe 2 /Si/PbTiO 3 /Sensing‐Medium) significantly improves sensitivity to 390.41°/RIU for the ring stage of malaria. The Kretschmann configuration, in conjunction with the Transfer Matrix Method (TMM) and angular interrogation, has been utilized to optimize the performance of the proposed SPR sensor. The proposed design achieves an optimal Quality Factor (QF) of 130.92 RIU⁻¹, enabling the detection of small changes in RI. With a Detection Accuracy (DA) of 0.33 deg −1 for the ring stage, the proposed SPR sensor demonstrates its potential for early and accurate malaria diagnosis. Also, the enhanced DA and QF in later stages (trophozoite and schizont stages) offers broad detection range of the proposed SPR design. The design offers a promising application across different biomedical applications.

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Publication Details

Journal
Advanced Theory and Simulations
Published
2025-06-13
DOI
https://doi.org/10.1002/adts.202500108
Citations
1
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.73
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Performance Analysis of SPR Sensor Based on Tin Di‐selenide, Silicon and Lead Titanate for Malaria Detection

Shivangani, Rohit Kumar Tiwari, Anupam Sahu, Santosh Kumar et al.
1 citations
Advanced Theory and Simulations
Electrochemical sensors and biosensors
0.73
article

Performance Analysis of SPR Sensor Based on Tin Di‐selenide, Silicon and Lead Titanate for Malaria Detection

Shivangani, Rohit Kumar Tiwari, Anupam Sahu, Santosh Kumar, Dharmendra Kumar, Sudhanshu Verma, Singh Chauhan, Sushil Kumar Saroj, Tanya Tripathi
article en
1 citations

Abstract

Abstract This paper introduces the design of a high‐performance Surface Plasmon Resonance (SPR) sensor using a SnSe 2 /Si/PbTiO 3 heterostructure for detecting malaria, targeting the different stages of the plasmodium parasite lifecycle. The Tin di‐selenide (SnSe 2 ) with high refractive index (RI) and excellent absorption property in visible and infrared regions allows efficient interaction with the evanescent field, thereby increasing sensitivity for small RI changes near the surface. The strategic integration of lead titanate (PbTiO 3 ), known for its high RI and tunable bandgap, with SnSe 2 and Silicon (Si) layers, the proposed sensor design (FK51A‐prism/Ag/SnSe 2 /Si/PbTiO 3 /Sensing‐Medium) significantly improves sensitivity to 390.41°/RIU for the ring stage of malaria. The Kretschmann configuration, in conjunction with the Transfer Matrix Method (TMM) and angular interrogation, has been utilized to optimize the performance of the proposed SPR sensor. The proposed design achieves an optimal Quality Factor (QF) of 130.92 RIU⁻¹, enabling the detection of small changes in RI. With a Detection Accuracy (DA) of 0.33 deg −1 for the ring stage, the proposed SPR sensor demonstrates its potential for early and accurate malaria diagnosis. Also, the enhanced DA and QF in later stages (trophozoite and schizont stages) offers broad detection range of the proposed SPR design. The design offers a promising application across different biomedical applications.

Advanced Theory and SimulationsVol. 8(10)
Guru Ghasidas Vishwavidyalaya (IN), Madan Mohan Malaviya University of Technology (IN), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 27%
Electrochemical sensors and biosensors
0.73
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