Evidence map›Paper›PMID 38203139›Full record

ArticleSensors (Basel, Switzerland)2024

Label-Free DNA Hybridization Detection Using a Highly Sensitive Fiber Microcavity Biosensor.

Yao Wu, Guiyu Wang, Xiujuan Yu, Yuanji Fan, Xuefeng Chen, Shengchun Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Effect of MoSMicromachines · 2025
    Article
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

6 authors.

Yao WuCollege of Physical Science and Technology, Heilongjiang University, Harbin 150080, China.
Guiyu WangCollege of Physical Science and Technology, Heilongjiang University, Harbin 150080, China.
Xiujuan YuCollege of Physical Science and Technology, Heilongjiang University, Harbin 150080, China.ORCID 0000-0003-4428-3922
Yuanji FanCollege of Physical Science and Technology, Heilongjiang University, Harbin 150080, China.
Xuefeng ChenHeilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China.
Shengchun LiuHeilongjiang Provincial Key Laboratory of Metamaterials Physics and Device, Heilongjiang University, Harbin 150080, China.ORCID 0000-0003-4824-8235

Funding

National Natural Science Foundation of China 61905069Natural Science Foundation of Heilongjiang Province LH2023F046
6 · The paper itself

Abstract

A novel label-free optical fiber biosensor, based on a microcavity fiber Mach-Zehnder interferometer, was developed and practically demonstrated for DNA detection. The biosensor was fabricated using offset splicing standard communication single-mode fibers (SMFs). The light path of the sensor was influenced by the liquid sample in the offset open cavity. In the experiment, a high sensitivity of -17,905 nm/RIU was achieved in the refractive index (RI) measurement. On this basis, the probe DNA (pDNA) was immobilized onto the sensor's surface using APTES, enabling real-time monitoring of captured complementary DNA (cDNA) samples. The experimental results demonstrate that the biosensor exhibited a high sensitivity of 0.32 nm/fM and a limit of detection of 48.9 aM. Meanwhile, the sensor has highly repeatable and specific performance. This work reports an easy-to-manufacture, ultrasensitive, and label-free DNA biosensor, which has significant potential applications in medical diagnostics, bioengineering, gene identification, environmental science, and other biological fields.

Indexed as

Biomedical EngineeringCommerceDNA, ComplementaryOptical FibersDNA, ComplementaryDNA hybridization detectionlabel-free biosensorMach–Zehnder interferometeropen cavityoptical fiber sensor

Identifiers

PMID38203139
PMCPMC10781217

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.