Magnetic toroidal dipole resonance terahertz wave biosensor based on all-silicon metasurface

太赫兹辐射 偶极子 环面 生物传感器 材料科学 共振(粒子物理) 光电子学 核磁共振 光学 磁偶极子 物理 原子物理学 纳米技术 核物理学 等离子体 量子力学
作者
Fuyi Cui,Xin Huang,Qiaoyi Zhou,Yijie Tong,Fuihai Liu,Ying Tang,Xiangru Meng,Chenxia Li,Bo Fang,X. M. Jing
出处
期刊:Optics and Lasers in Engineering [Elsevier BV]
卷期号:177: 108128-108128 被引量:16
标识
DOI:10.1016/j.optlaseng.2024.108128
摘要

Optical sensing is crucial in many applications and has received widespread attention in recent years. Transmission spectroscopy with narrow linewidth resonances is indispensable for improving metasurface sensing performance. However, the narrower linewidth results in a smaller resonant modulation range, which seriously hinders the application of metasurfaces in sensing detection. We designed an all-silicon metasurface sensor. The structural layer of the metasurface works together with the substrate layer. Multiple magnetic ring dipoles are generated in the structural layer and multiple magnetic dipoles are generated in the substrate layer. The two work together to stimulate sharp Fano resonance, with a quality factor of up to 272.84. Based on the characteristics of metasurface, when applied to sensing and detection, the theoretical sensitivity can reach 59.64 GHz/RIU. Metasurface samples were successfully prepared using photolithography and dry etching. After characterizing the transmission spectrum of the prepared metasurface, the actual quality factor reached 76.8. At the same time, the metasurface sensor was used to detect bovine serum albumin (BSA) solutions of different concentrations. Based on the test results, it is calculated that the detection limit of the metasurface sensor for detecting BSA can reach 0.027 mg/mL, and the detection sensitivity can reach 9.7 GHz/(ng/mm2). The results of theoretical simulation and biological experiments show that the sensor has good sensing performance. This work is of great significance to the research of all-silicon metasurfaces and the application of metasurface sensors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
婷婷婷完成签到 ,获得积分10
2秒前
molihuakai应助Falty采纳,获得10
2秒前
2秒前
桐桐应助小月采纳,获得10
3秒前
科研通AI6.4应助TvTiing采纳,获得10
3秒前
皮皮皮完成签到,获得积分10
5秒前
Eason完成签到,获得积分10
5秒前
De17发布了新的文献求助10
5秒前
衣兮完成签到,获得积分10
5秒前
6秒前
科研通AI6.4应助zengtsinghua采纳,获得10
6秒前
完美世界应助cdl采纳,获得10
7秒前
DajeVn发布了新的文献求助10
7秒前
咸疙瘩完成签到,获得积分10
7秒前
8秒前
花花完成签到,获得积分10
8秒前
9秒前
9秒前
我是老大应助神猪无敌采纳,获得10
11秒前
高大的太兰关注了科研通微信公众号
12秒前
今后应助De17采纳,获得10
13秒前
13秒前
13秒前
幽默的静槐完成签到,获得积分10
13秒前
的服务费完成签到,获得积分10
13秒前
14秒前
哈哈哈发布了新的文献求助30
14秒前
研友_VZG7GZ应助Falty采纳,获得10
15秒前
16秒前
17秒前
binban128完成签到,获得积分10
17秒前
吃瓜群众完成签到,获得积分10
17秒前
molihuakai应助科研小天才采纳,获得10
17秒前
无道则愚发布了新的文献求助10
17秒前
云瑾发布了新的文献求助10
17秒前
18秒前
丘比特应助留胡子的听枫采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Moody's Ratings Rising AI spending narrows the gap, but US hyperscalers retain edge over Chinese peers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7696282
求助须知:如何正确求助?哪些是违规求助? 9256446
关于积分的说明 20002619
捐赠科研通 7270624
什么是DOI,文献DOI怎么找? 3292663
关于科研通互助平台的介绍 2448307
邀请新用户注册赠送积分活动 2298374