Highly sensitive SPR sensor employing zinc selenide, silver nanocomposite, and lead titanate for the detection of cancer cells

IF 5.3 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchimica Acta Pub Date : 2025-03-03 DOI:10.1007/s00604-024-06867-3

Tanjib Ahmed, Md. Kamal Hosain, Abbas Z. Kouzani

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引用次数: 0

Abstract

This paper presents the design and evaluation of an optimized prism-based surface plasmon resonance (SPR) biosensor for the early detection of various cancer types. The Kretschmann configuration–based SPR sensor integrates multiple novel layers, including silver (Ag), zinc selenide (ZnSe), lead telluride (PbTiO\(_3\)), and silver nanocomposite layers. The SPR sensor is analyzed with angular interrogation analysis, which utilizes the attenuated total reflection (ATR) approach for investigating the refractive index component and detecting different forms of cancer cells. The design and performance evaluation are realized using the finite element method (FEM). The sensor can identify skin, cervical, blood, adrenal gland, breast (type I), and breast (type II) cancer with a sensitivity of 200.54°/RIU, 262.61°/RIU, 286.48°/RIU, 327.41°/RIU, 409.26°/RIU, and 427.72°/RIU, respectively. It exhibits a detection accuracy of 2 and a maximum quality factor of 107.14 RIU\(^{-1}\). In comparison with earlier research studies, a notable improvement in performance is demonstrated through the numerical analysis of the sensor properties.

Graphical abstract of the proposed sensor structure

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来源期刊

Microchimica Acta 化学-分析化学

CiteScore

9.80

自引率

5.30%

发文量

410

审稿时长

2.7 months

期刊介绍： As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.