Design and analysis of a multi-core whispering gallery mode bio-sensor for detecting cancer cells and diabetes tear cells

IF 1.6 Q3 OPTICS OSA Continuum Pub Date : 2021-08-15 DOI:10.1364/OSAC.431883
K. Chakrabarti, M. Obaidat, Shahriar Mostufa, A. Paul
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引用次数: 4

Abstract

Whispering gallery modes (WGM) have revolutionized the field of optical sensors. This paper presents a design and simulation of a novel structure called a “multi-core whispering gallery mode (WGM)” based on multiple evanescent waves coupling for detecting cancer cells and diabetes tear cells. This work is totally simulation based, and the simulation is done by a finite element method based simulation tool. From the simulation, it is expected that the proposed sensor exhibits a sensitivity of 650 nm/RIU, 666.67 nm/RIU, and 642.285 nm/RIU, respectively, for the detection of cancerous Basal, HeLa, and MDB-MB-231 cells. In addition, it is also capable of detecting affected diabetes tear cells from healthy tear cells with a sensitivity of 650 nm/RIU. To the best of our knowledge, the resultant sensitivity of the proposed sensor is probably the highest compared to other WGM based bio-sensors till now.
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用于检测癌细胞和糖尿病撕裂细胞的多核窃窃廊模式生物传感器的设计与分析
Whispering gallery模式(WGM)已经彻底改变了光学传感器领域。本文提出了一种基于多个渐逝波耦合的新型结构“多核回音廊模式(WGM)”的设计和仿真,用于检测癌症细胞和糖尿病泪液细胞。这项工作完全基于仿真,并通过基于有限元方法的仿真工具进行仿真。从模拟中,预计所提出的传感器对癌性基底细胞、HeLa细胞和MDB-MB-231细胞的检测分别表现出650nm/RIU、666.67nm/RIU和642.285nm/RUU的灵敏度。此外,它还能够以650nm/RIU的灵敏度从健康泪液细胞中检测受影响的糖尿病泪液细胞。据我们所知,与迄今为止其他基于WGM的生物传感器相比,所提出的传感器的灵敏度可能是最高的。
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OSA Continuum
OSA Continuum OPTICS-
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