Ultrasensitive Label-Free Biosensor for Triglyceride Detection Based on Exposed-Core Optical Fiber

材料科学 多模光纤 光纤 折射率 生物传感器 马赫-曾德尔干涉仪 干涉测量 光纤传感器 光子晶体光纤 纤维 光学 光电子学 纳米技术 物理 复合材料
作者
Xindi Zhang,Xue Zhou,Yanan Zhang,Yong Zhao,Linh V. Nguyen,Stephen C. Warren‐Smith,Xuegang Li
出处
期刊:IEEE Transactions on Instrumentation and Measurement [Institute of Electrical and Electronics Engineers]
卷期号:73: 1-6 被引量:7
标识
DOI:10.1109/tim.2024.3400334
摘要

Accurate detection of triglycerides is important for the prevention and monitoring of dyslipidemia and for understanding the mechanisms of metabolic diseases. In this paper, an ultra-sensitive label-free sensor for measuring triglycerides based on an exposed core optical fiber is presented. The sensor head was formed by splicing a single-mode optical fiber, a multimode optical fiber, and an exposed-core fiber in a Mach-Zehnder interferometer configuration. The Mach-Zehnder interference occurs between the exposed core of the fiber, which is only microns in size, and the external environment. This allows the light path to pass directly through the liquid sample, resulting in an ultra-high refractive index sensitivity of 13,300 nm/RIU in the refractive index range of 1.331-1.332. In addition, lipase is immobilized on the optical fiber sensor to measure the concentration of triglycerides by detecting the change in the refractive index of the sample solution caused by the hydrolysis of triglycerides by lipase. The results showed that this sensor can specifically detect the concentration of triglycerides with a sensitivity of 1.72 nm/nM and a detection limit of 35 pM. It has the potential to revolutionize the diagnosis and monitoring of triglycerides, and thus impact the prevention and treatment of dyslipidemia and other metabolic diseases.
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
李部侍郎发布了新的文献求助10
1秒前
fcc发布了新的文献求助10
1秒前
科研通AI6.3应助文静紫烟采纳,获得10
1秒前
华仔应助kkkkkk采纳,获得10
1秒前
达落完成签到,获得积分10
2秒前
woshi123应助神雕001采纳,获得10
2秒前
woshi123应助神雕001采纳,获得30
3秒前
情怀应助研友_ZeoKYL采纳,获得10
3秒前
4秒前
4秒前
漂亮的宛筠完成签到,获得积分10
5秒前
aa完成签到,获得积分10
6秒前
chi发布了新的文献求助10
6秒前
姜淮完成签到,获得积分10
8秒前
8秒前
JeKing发布了新的文献求助10
9秒前
桐桐应助YoYo采纳,获得10
9秒前
sc完成签到 ,获得积分10
9秒前
longsky完成签到,获得积分10
9秒前
10秒前
10秒前
11秒前
Owen应助阳光的夏山采纳,获得10
12秒前
12秒前
知晓完成签到,获得积分10
12秒前
CodeCraft应助natus采纳,获得10
13秒前
Onyx完成签到,获得积分10
13秒前
糖糖糖发布了新的文献求助10
14秒前
longsky发布了新的文献求助10
15秒前
脑洞疼应助李部侍郎采纳,获得10
15秒前
马梦蕾发布了新的文献求助10
16秒前
18秒前
18秒前
19秒前
19秒前
19秒前
19秒前
20秒前
20秒前
21秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 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 7602586
求助须知:如何正确求助?哪些是违规求助? 9178773
关于积分的说明 19656313
捐赠科研通 7178190
什么是DOI,文献DOI怎么找? 3269076
关于科研通互助平台的介绍 2433267
邀请新用户注册赠送积分活动 2262925