Terahertz Metasurface-Based Refractive Index Sensor for Amino Acid Detection: A Numerical Approach

被引:11
|
作者
Patel, Shobhit K. [1 ]
Surve, Jaymit [2 ]
Parmar, Juveriya [3 ,4 ]
Parmar, Tanvirjah [5 ]
Jadeja, Rajendrasinh [2 ]
Ahmed, Kawsar [6 ,7 ]
Bui, Francis M. [8 ]
机构
[1] Marwadi Univ, Dept Comp Engn, Rajkot 360003, Gujarat, India
[2] Marwadi Univ, Dept Elect Engn, Rajkot 360003, Gujarat, India
[3] Marwadi Univ, Dept Elect & Commun Engn, Rajkot 360003, Gujarat, India
[4] Univ Nebraska Lincoln, Dept Mech & Mat Engn, Lincoln, NE 68588 USA
[5] Marwadi Univ, Dept Microbiol, Rajkot 360003, Gujarat, India
[6] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK S7N 5A9, Canada
[7] Mawlana Bhashani Sci & Technol Univ, Dept Informat & Commun Technol, Grp Biophotomatix, Santosh 1902, Tangail, Bangladesh
[8] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK S7N 5A9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Amino acids; high sensitivity; metasurface; refractive index sensor; tuning; NEGATIVE-INDEX; METAMATERIAL; BIOSENSORS; GRAPHENE; ARRAY;
D O I
10.1109/TNB.2022.3222446
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A graphene disk metasurface-inspired refractive index sensor (RIS) with a subwavelength structure is numerically investigated to enhance the functionality of flexible metasurface in the biosensor sector. The main aim behind the sensor development is to detect amino acids with high sensitivity. The results in form of transmittance and the electric field intensity are carried out to verify the sensor's performance. The optimal design of the proposed sensor is also obtained by varying several structural parameters such as glass-based substrate thickness, the inner radius of the graphene disk metasurface, and the angle of incidence. The proposed sensor is also wide-angle insensitive for the angle of incidence ranging from 0 & DEG; to 60 & DEG;. Furthermore, the sensor's attributes are analyzed based on numerous parameters with an achieved maximum sensitivity of 333.33 GHz/RIU, Figure of Merit (FOM) of 3.11 RIU-1, and Q-factor of 7.3 are achieved. As a result, these insights offered an enhanced direction for designing metasurface biosensors with a high Q-factor and FOM with high sensitivity for the detection of amino acids.
引用
收藏
页码:614 / 621
页数:8
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