Evidence map›Paper›PMID 37212925›Full record

ArticleMikrochimica acta2023

Mulberry-like porous-hollow AuPtAg nanorods for electrochemical immunosensing of biomarker myoglobin.

Chang Tang, Ai-Jun Wang, Jiu-Ju Feng, Tuck Yun Cheang

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 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
1.8field-weighted citation impact, top 15% 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, 12 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Chang TangDepartment of Breast Care Centre, the First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, 510080, China.
Ai-Jun WangCollege of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Jiu-Ju FengCollege of Chemistry and Materials Science, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China. jjfeng@zjnu.cn.ORCID http://orcid.org/0000-0002-7954-0573
Tuck Yun CheangDepartment of Breast Care Centre, the First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, 510080, China. TYCheang@163.com.
Zhejiang Normal University · CNFirst Affiliated Hospital of Guangdong Pharmaceutical University · CN

Funding

Zhejiang Province Public Welfare Technology Application Research Project LGG19B050001
6 · The paper itself

Abstract

Mulberry-like AuPtAg porous hollow nanorods (PHNR) were facilely synthesized for the first time via a wet chemical method, where Au nanorods (Au NR) behaved as sacrificed template. The anisotropic oriented growth and etching process are involved in this synthesis. Their structural and electronic characteristics were scrutinously examined by TEM, EDS, XPS, and electrochemical techniques. The AuPtAg PHNR provided a large specific surface area and exposed a large number of active sites, showing highly enhanced catalytic activity. On this foundation, a label-free electrochemical immunosensor was developed for myoglobin (Myo) assay based on the AuPtAg PHNR. Further, the built sensor exhibited fast and ultrasensitive responses in a linear range of 0.0001 ~ 1000 ng mL

Indexed as

Biosensing TechniquesMetal NanoparticlesMorusNanotubesBiomarkersHumansImmunoassayLimit of DetectionMyoglobinPorosityBiomarkersMyoglobinDifferential pulse voltammetryElectrochemical immunosensingHollow-porous nanorodsMyoglobinSynergistic catalytic effectsTri-metal nanocrystals

Identifiers

PMID37212925
OpenAlexW4377221403

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.