Evidence map›Paper›PMID 37110736›Full record

ArticleMolecules (Basel, Switzerland)2023

Highly Sensitive β-Lactoglobulin Fluorescent Aptamer Biosensors Based on Tungsten Disulfide Nanosheets and DNase I-Assisted Signal Amplification.

Yuying Wang, Sisi Chen, Wanmei Chen, Jingjing Wang, Kun Li, Chengyi Hong, Kailong Zhang, Quansheng Chen

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
1.9field-weighted citation impact, top 14% of its field
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, 8 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Yuying WangCollege of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China.
Sisi ChenCollege of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China.
Wanmei ChenCollege of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China.
Jingjing WangCollege of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China.
Kun LiSchool of Life Sciences, Longyan University, Longyan 364012, China.
Chengyi HongCollege of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China.ORCID 0000-0002-3896-3334
Kailong ZhangSchool of Life Sciences, Longyan University, Longyan 364012, China.ORCID 0000-0003-0606-178X
Quansheng ChenCollege of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China.
Jimei University · CNLongyan University · CN

Funding

the Longyan University Scientific Research Fund for the Doctoral Young Scholars LB2020007the Natural Science Foundation of Fujian Province of China 2022J01803, 2020J05201the Natural Science Foundation of Xiamen, China 3502Z20227061
6 · The paper itself

Abstract

β-lactoglobulin (β-Lg) is a protein found in milk that can cause severe allergic reactions, including rash, vomiting, and diarrhea. Thus, it is crucial to develop a sensitive β-Lg detection method to protect people who are susceptible to allergies. Here, we introduce a novel and highly sensitive fluorescent aptamer biosensor for detecting β-Lg. First, a fluorescein-based dye (FAM)-labeled β-lactoglobulin aptamer (β-Lg aptamer) is adsorbed on the surface of tungsten disulfide (WS

Indexed as

Aptamers, NucleotideBiosensing TechniquesDeoxyribonuclease IHumansLactoglobulinsLimit of DetectionSulfidesTungsten CompoundsAptamers, NucleotideDeoxyribonuclease ILactoglobulinsSulfidesTungsten Compoundstungsten sulfideaptamerDNase IWS2 nanosheetsβ-lactoglobulin

Identifiers

PMID37110736
PMCPMC10146092
OpenAlexW4366122214

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.