Evidence map›Paper›PMID 36234549›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Terahertz Vibrational Fingerprints Detection of Molecules with Particularly Designed Graphene Biosensors.

Xiaobing Han, Xueqin Shen, Yuanguo Zhou, Lin Wang, Qiang Ren, Yijun Cai, Reza Abdi-Ghaleh

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaobing HanCollege of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Xueqin ShenCollege of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Yuanguo ZhouCollege of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.ORCID 0000-0001-6373-3883
Lin WangSchool of Electronics and Information Engineering, Beihang University, Beijing 100191, China.
Qiang RenSchool of Electronics and Information Engineering, Beihang University, Beijing 100191, China.
Yijun CaiFujian Provincial Key Laboratory of Optoelectronic Technology and Devices, Xiamen University of Technology, Xiamen 361024, China.ORCID 0000-0002-7520-9277
Reza Abdi-GhalehDepartment of Laser and Optical Engineering, University of Bonab, Bonab 5551761167, Iran.ORCID 0000-0003-2795-3285

Funding

Key Laboratory of THz Technology, Ministry of Education, China N.A.National Natural Science Foundation of China 92166107Natural Science Basic Research Plan in Shaanxi Province of China 2020JM-515
6 · The paper itself

Abstract

In this research, an arc I-shaped graphene sensing structure with multi-resonance characteristics is proposed for the simultaneous detection of vibrational fingerprints with spectral separation in the terahertz range. The resonant frequencies of the sensor can be dynamically tuned by changing the gate voltage applied to the graphene arrays. The two vibrational fingerprints of lactose molecules (0.53 THz and 1.37 THz) in the transmission spectrum can be enhanced simultaneously by strictly optimizing the geometrical parameters of the sensor. More importantly, these two resonant frequencies can be tuned precisely to coincide with the two standard resonances of the lactose molecule. The physical mechanism of the sensor is revealed by inspection of the electric field intensity distribution, and the advantage of the sensor, which is its ability to operate at a wide range of incident angles, has been demonstrated. The sensing performance of the structure as a refractive index sensor has also been studied. Finally, a double arc I-shaped graphene sensor is further designed to overcome the polarization sensitivity, which demonstrates excellent molecular detection performance under different polarization conditions. This study may serve as a reference for designing graphene biosensors for molecular detection.

Indexed as

graphenemetasurfacemolecular vibrational fingerprintssurface plasmonsterahertz biosensors

Identifiers

PMID36234549
PMCPMC9565571

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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.