Evidence map›Paper›PMID 38275304›Full record

ReviewBiosensors2023

Terahertz Metamaterials for Biosensing Applications: A Review.

Wu Zhang, Jiahan Lin, Zhengxin Yuan, Yanxiao Lin, Wenli Shang, Lip Ket Chin, Meng Zhang

Abstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Article
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  14. AI-Based Metamaterial Design.ACS applied materials & interfaces · 2024
    Review
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

7 authors.

Wu ZhangSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Jiahan LinSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Zhengxin YuanSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Yanxiao LinSchool of Physics and Material Science, Guangzhou University, Guangzhou 510006, China.
Wenli ShangSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Lip Ket ChinDepartment of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR 999077, China.ORCID 0000-0001-9020-7782
Meng ZhangSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China.

Funding

City University of Hong Kong 9610572Guangzhou Municipal Science and Technology Project SL2023A03J01033Guangzhou University Graduate Innovation Ability Cultivation Funding Program 2022GDJC-M02National Natural Science Foundation of China 62205074Natural Science Foundation of Guangdong 2022A1515011354, 2023A1515011345Open Research Project of Zhejiang Laboratory 2021KF0AB06
6 · The paper itself

Abstract

In recent decades, THz metamaterials have emerged as a promising technology for biosensing by extracting useful information (composition, structure and dynamics) of biological samples from the interaction between the THz wave and the biological samples. Advantages of biosensing with THz metamaterials include label-free and non-invasive detection with high sensitivity. In this review, we first summarize different THz sensing principles modulated by the metamaterial for bio-analyte detection. Then, we compare various resonance modes induced in the THz range for biosensing enhancement. In addition, non-conventional materials used in the THz metamaterial to improve the biosensing performance are evaluated. We categorize and review different types of bio-analyte detection using THz metamaterials. Finally, we discuss the future perspective of THz metamaterial in biosensing.

Indexed as

Biosensing TechniquesTechnologybiosensingmetamaterialsresonanceterahertz

Identifiers

PMID38275304
PMCPMC10813048

What OpenQuestion holds

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Registered trials

None linked

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.