Evidence map›Paper›PMID 36671932›Full record

ArticleBiosensors2023

A Fiber Bragg Grating Sensor Based on Cladding Mode Resonance for Label-Free Biosensing.

Shimeng Chen, Chao Zhang, Jiahui Wang, Na Li, Yongxin Song, Haojun Wu, Yun Liu

Abstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  3. Review
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  5. 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.

Shimeng ChenDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Chao ZhangDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Jiahui WangDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Na LiDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Yongxin SongDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Haojun WuDepartment of Marine Engineering, Dalian Maritime University, Dalian 116026, China.
Yun LiuSchool of Physics, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0001-9384-4912

Funding

Fundamental Research Funds for the Chentral Universityies 3132022220National Natural Science Foundation of China 62205044
6 · The paper itself

Abstract

A fiber-optic biosensing platform based on ultra-narrowband cladding mode resonances was developed on a high-reflectivity fiber Bragg grating (FBG) for targeting biomolecular detection. The multiple cladding modes with a high sensitivity to the refractive index (RI) were excited in the FBG by coupling between the forward-propagating guided core mode of the multimode fiber and the backward-propagating guided cladding mode of the FBG without any damage to the fiber structure or any change to the standard FBG manufacturing process. The full width at half maximum and the Q-factor of the typical cladding mode resonance operation of the proposed sensor are 80 pm and 19,270, respectively, which are better than those of most fiber-optic biosensors reported to date. In addition, the FBG sensor demonstrated a high sensitivity in protein detection and a high selectivity in serum sample assays. The sensitivity of this sensor was further increased simply by coating it with graphene oxide (GO) sheets on the sensing surface without using a signal amplification strategy. Furthermore, an ultra-low limit of detection (LOD) of 32 pM was obtained by the GO-coated FBG sensor for IgG detection. The proposed FBG sensor provides a competitive fiber-optic platform for biomolecular detection. It has a great potential for applications in label-free biosensing.

Indexed as

Biosensing TechniquesFiber Optic TechnologyEquipment DesignLimit of DetectionRefractometrybiosensorfiber Bragg gratinggraphene oxidelabel-freelimit of detection

Identifiers

PMID36671932
PMCPMC9855977

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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.