Evidence map›Paper›PMID 34970724›Full record

ArticleMikrochimica acta2021

Colorimetric determination of Listeria monocytogenes using aptamer and urease dual-labeled magnetic nanoparticles and cucurbit[7]uril-mediated supramolecular assembly of gold nanoparticle.

Xuechen Wang, Yushen Liu, Xuening Shi, Huisi Chen, Chao Zhao, Juan Li, Juan Wang

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Xuechen Wang *School of Public Health, Jilin University, Changchun, 130021, China.
Yushen Liu *College of Food Engineering, Ludong University, Yantai, 264025, Shandong, China.
Xuening ShiSchool of Public Health, Jilin University, Changchun, 130021, China.
Huisi ChenThe Second Hospital of Jilin University, Changchun, 130021, China.
Chao ZhaoSchool of Public Health, Jilin University, Changchun, 130021, China.
Juan LiSchool of Public Health, Jilin University, Changchun, 130021, China. li_juan@jlu.edu.cn.
Juan WangSchool of Public Health, Jilin University, Changchun, 130021, China. jwang0723@jlu.edu.cn.ORCID http://orcid.org/0000-0003-1309-9444
Jilin University · CNLudong University · CNSecond Affiliated Hospital of Jilin University · CN

Funding

Jilin Province Science and Technology Development Plan Item No. 20200403035SFNational Natural Science Foundation of China No. 82073557National Natural Science Foundation of China No. 82073603
6 · The paper itself

Abstract

A host-guest colorimetric strategy is described for the detection of Listeria monocytogenes (L. monocytogenes). The optical probes were self-assembled based on the supramolecular interactions between the carbonyl groups of cucurbit[7]uril portals and gold nanoparticles (CB[7]-AuNPs). Aptamer and urease modified magnetic nanoparticles were used to specifically recognize and binding to L. monocytogenes, simultaneously hydrolyzing urea to produce ammonium ion (NH

Indexed as

AnimalsAptamers, NucleotideBacterial LoadBridged-Ring CompoundsColorimetryCucurbit(n)urilsFood ContaminationGoldImidazolesLimit of DetectionListeria monocytogenesMacrocyclic CompoundsMagnetic Iron Oxide NanoparticlesPork MeatSwineUreaseAptamers, NucleotideBridged-Ring Compoundscucurbit(7)urilCucurbit(n)urilsGoldImidazolesMacrocyclic CompoundsUreaseAu nanoparticlesCucurbit[7]urilFood safetyImmunomagnetic separationReverse aggregationSupramolecular assemblyVisual detection

Identifiers

PMID34970724
OpenAlexW4200092098

What OpenQuestion holds

Textmetadata
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.