A Novel Plasmonic MIM Sensor Using Integrated 1x 2 Demultiplexer for Individual Lab-on-Chip Detection of Human Blood Group and Diabetes Level in the Visible to Near-Infrared Region

被引：37

作者：

Rahad, Rummanur ^{[1
,2
]}

Haque, Mohammad Ashraful ^{[1
]}

Faruque, Md. Omar ^{[1
]}

Mohsin, Abu S. M. ^{[2
]}

Mobassir, Md Sadi ^{[1
]}

Sagor, Rakibul Hasan ^{[1
]}

机构：

[1] Islamic Univ Technol IUT, Dept Elect & Elect Engn, IUT Photon Res Grp IUT PRG, Gazipur 1704, Bangladesh

[2] BRAC Univ, Dept Elect & Elect Engn, Opt & Photon Res Grp, Dhaka 1212, Bangladesh

来源：

IEEE SENSORS JOURNAL | 2024年 / 24卷 / 08期

关键词：

Biosensor; demultiplexer; finite element method (FEM); lab-on-chip (LoC); metal-insulator-metal (MIM); silicon nanodot array; transmission coefficient (TC); REFRACTIVE-INDEX; WAVE-GUIDE; DESIGN; SENSITIVITY; RING;

D O I：

10.1109/JSEN.2024.3372692

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this article, we present an innovative plasmonic lab-on-chip (LoC) sensor featuring three ports, utilizing a 1x2 demultiplexer to detect two separate samples without cross-contamination. The performance of the sensor is numerically investigated using the finite element method (FEM), yielding a maximum sensitivity of 865.9 nm per refractive index unit (RIU) and a figure of merit (FOM) of 58.4 in the 700-920 nm range. The proposed metal-insulator-metal (MIM) structure, incorporating a diamond-shaped silicon nanodot array with a perimeter of less than 100 nm, serves as a sensing surface, detecting changes in the refractive index (RI) of the surrounding medium. Our suggested sensor demonstrates an extraordinary transmission coefficient (TC) of around -18-dB, it surpasses classical optics predictions, and its nanoscale light confinement enhances interaction with analytes. Our LoC sensor, based on the MIM structure, achieves high accuracy and precision in measuring small RI changes, making it portable and suitable for on-site applications, and settings with limited resources. This sensor streamlines medical processes by rapidly detecting blood groups and diabetes levels with minimal sample volume, potentially improving patient care efficiency.

引用

页码：12034 / 12041

页数：8