Evidence map›Paper›PMID 35474041›Full record

ArticleMikrochimica acta2022

Electrochemically reduced graphene oxide/Cu-MOF/Pt nanoparticles composites as a high-performance sensing platform for sensitive detection of tetracycline.

He Xu, Duo Zhang, Xueyu Weng, Dongfang Wang, Dongqing Cai

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2022. 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
3.9field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

5 authors at 1 institution in 1 country.

He XuCollege of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China. hexu@dhu.edu.cn.ORCID http://orcid.org/0000-0003-2225-4725
Duo ZhangCollege of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
Xueyu WengCollege of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
Dongfang WangCollege of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
Dongqing CaiCollege of Environmental Science and Engineering, Donghua University, Shanghai, 201620, China.
Donghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A promising sensing platform was constructed based on an electrochemically reduced graphene oxide (ErGO)/copper metal-organic framework (Cu-MOF)/platinum nanoparticles (ErGO/Cu-MOF/PtNPs) modified glassy carbon electrode for the detection of tetracycline. The ErGO/Cu-MOF/PtNPs composite electrode possessed an excellent electrochemical performance to tetracycline detection mainly due to the synergistic effect of ErGO, Cu-MOF and PtNPs. The electrochemical kinetics and catalytical mechanism of tetracycline were systematically studied, showing that tetracycline's electrocatalytic oxidation reaction was an absorption-controlled two-step process involving two electrons and one proton transfer, respectively. Low concentration of tetracycline was detected by amperometry with the a linear range of 1 ~ 200 μM (R

Indexed as

Metal NanoparticlesMetal-Organic FrameworksAnti-Bacterial AgentsCopperElectrochemical TechniquesGraphitePlatinumReproducibility of ResultsTetracyclineAnti-Bacterial AgentsCoppergraphene oxideGraphiteMetal-Organic FrameworksPlatinumTetracyclineAmperometryChemically modified electrodeElectrochemical oxidationMetal–organic frameworksReduced graphene oxideTetracycline

Identifiers

PMID35474041
OpenAlexW4224979814

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.