Evidence map›Paper›PMID 38867779›Full record

ArticleBiomedical optics express2024

Wave type fiber SPR sensor for rapid and highly sensitive detection of hyperoside.

Yong Wei, Yixiong Tang, Yonghui Zhang, Chunlan Liu, Puxi Ren, Chunbiao Liu, Chen Shi, Ziqiang Zhang, Zhihai Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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

9 authors.

Yong WeiCollege of Electronic, Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Yixiong TangCollege of Electronic, Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Yonghui ZhangChongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Chongqing Three Gorges Medical College, Chongqing 404120, China.
Chunlan LiuCollege of Electronic, Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Puxi RenCollege of Electronic, Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Chunbiao LiuCollege of Electronic, Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Chen ShiCollege of Electronic, Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Ziqiang ZhangCollege of Electronic, Information Engineering, Chongqing Three Gorges University, Chongqing 404100, China.
Zhihai LiuKey Laboratory of In-fiber Integrated Optics, Ministry Education of China, Harbin Engineering University, Harbin 150001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fiber surface plasmon resonance (SPR) sensor used for the detection of active ingredients in traditional Chinese medicine has the problems of low sensitivity and difficult specific recognition. This paper proposed a wave type fiber SPR sensor, which reduced the mode of transmitted light through a periodic wave structure and caused concentrated and total reflection of the transmitted beam at the interface between the bent peak cladding and the air. A 50 nm gold film was coated on the surface of the cladding in the wave structure area to form the SPR sensing area. By controlling the width and height of the wave structure to control the total reflection angle of the transmitted light, i.e., the SPR incidence angle, the sensitivity of the fiber SPR sensor was effectively improved to 4972 nm/RIU. Furthermore, HSP90AA protein was modified on the gold film of the sensor to achieve specific detection of hyperoside. The longest single detection time was only 3 minutes, and the detection sensitivity was 0.53 nm/(µg/ml), with a detection limit as low as 0.68µg/ml, which is comparable to liquid chromatography. The proposed wave type fiber SPR sensor is fast in production and has high structural mechanical strength, providing a new approach for the rapid, highly sensitive, and specific detection of active ingredients in traditional Chinese medicine.

Identifiers

PMID38867779
PMCPMC11166449

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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.