Evidence map›Paper›PMID 36850616›Full record

ArticleSensors (Basel, Switzerland)2023

Ultra-High Sensitivity Terahertz Microstructured Fiber Biosensor for Diabetes Mellitus and Coronary Heart Disease Marker Detection.

Jia Xue, Yani Zhang, Zhe Guang, Ting Miao, Zohaib Ali, Dun Qiao, Yiming Yao, Kexin Wu, Lei Zhou, Cheng Meng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 4 countries.

Jia XueDepartment of Physics, School of Arts & Sciences, Shaanxi University of Science & Technology, Xi'an 710021, China.
Yani ZhangDepartment of Physics, School of Arts & Sciences, Shaanxi University of Science & Technology, Xi'an 710021, China.
Zhe GuangSchool of Physics, Georgia Institute of Technology, 837 State Street NW, Atlanta, GA 30332, USA.
Ting MiaoDepartment of Physics, School of Arts & Sciences, Shaanxi University of Science & Technology, Xi'an 710021, China.
Zohaib AliSchool of Physics, Georgia Institute of Technology, 837 State Street NW, Atlanta, GA 30332, USA.
Dun QiaoFaculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK.
Yiming YaoDepartment of Physics, School of Arts & Sciences, Shaanxi University of Science & Technology, Xi'an 710021, China.
Kexin WuDepartment of Physics, School of Arts & Sciences, Shaanxi University of Science & Technology, Xi'an 710021, China.
Lei ZhouSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.
Cheng MengSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China.
Nigel CopnerFaculty of Computing, Engineering and Science, University of South Wales, Pontypridd CF37 1DL, UK.
Shaanxi University of Science and Technology · CNGeorgia Institute of Technology · USUniversity of South Wales · GB

Funding

Key Science and Technology Program of Shaanxi Province No. 2021KWZ-11Key Science and Technology Program of Shaanxi Province No. 2021QFY03-02Key Science and Technology Program of Shaanxi Province No. 2022QFY04-03Natural Science Basic Research Program of Shaanxi Province No. 2020JQ-735Scientific Research Plan Project of Shaanxi Education Department No. 19JK0146Special Foundation of Shaanxi Provincial Department of Education No. 20JK0543the Science and Technology project of Xi'an City No. 22GXFW0009
6 · The paper itself

Abstract

Diabetes Mellitus (DM) and Coronary Heart Disease (CHD) are among top causes of patient health issues and fatalities in many countries. At present, terahertz biosensors have been widely used to detect chronic diseases because of their accurate detection, fast operation, flexible design and easy fabrication. In this paper, a Zeonex-based microstructured fiber (MSF) biosensor is proposed for detecting DM and CHD markers by adopting a terahertz time-domain spectroscopy system. A suspended hollow-core structure with a square core and a hexagonal cladding is used, which enhances the interaction of terahertz waves with targeted markers and reduces the loss. This work focuses on simulating the transmission performance of the proposed MSF sensor by using a finite element method and incorporating a perfectly matched layer as the absorption boundary. The simulation results show that this MSF biosensor exhibits an ultra-high relative sensitivity, especially up to 100.35% at 2.2THz, when detecting DM and CHD markers. Furthermore, for different concentrations of disease markers, the MSF exhibits significant differences in effective material loss, which can effectively improve clinical diagnostic accuracy and clearly distinguish the extent of the disease. This MSF biosensor is simple to fabricate by 3D printing and extrusion technologies, and is expected to provide a convenient and capable tool for rapid biomedical diagnosis.

Indexed as

Coronary DiseaseDiabetes MellitusComputer SimulationHumansPrinting, Three-DimensionalTechnologycoronary heart diseasediabetes mellituseffective material lossmicrostructured fibersensitivityterahertz

Identifiers

PMID36850616
PMCPMC9962755
OpenAlexW4320494527

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.