Evidence map›Paper›PMID 38930980›Full record

ArticleMolecules (Basel, Switzerland)2024

Ti

Dengzhou Jia, Tao Yang, Kang Wang, Hongyang Wang, Enhui Wang, Kuo-Chih Chou, Xinmei Hou

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  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

7 authors.

Dengzhou JiaInstitute for Carbon Neutrality, University of Science and Technology Beijing, Beijing 100083, China.
Tao YangInstitute for Carbon Neutrality, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-0043-5501
Kang WangInstitute for Carbon Neutrality, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0003-2895-3869
Hongyang WangState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.ORCID 0009-0007-1737-6783
Enhui WangInstitute for Carbon Neutrality, University of Science and Technology Beijing, Beijing 100083, China.
Kuo-Chih ChouInstitute for Carbon Neutrality, University of Science and Technology Beijing, Beijing 100083, China.
Xinmei HouInstitute for Carbon Neutrality, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0001-9486-478X

Funding

Fundamental Research Funds for the Central Universities FRF-TP-20-02C2Guangxi Key Laboratory of Processing for Non-Ferrous Metals and Featured Materials 2021GXYSOF12Interdisciplinary Research Project for Young Teachers of USTB(Fundamental Research Funds for the Central Universities) FRF-IDRY-21-028National Natural Science Foundation of China 51902020, 51974021, 52250091National Science Fund for Distinguished Young Scholars 52025041
6 · The paper itself

Abstract

Two-dimensional MXenes have become an important material for electrochemical sensing of biomolecules due to their excellent electric properties, large surface area and hydrophilicity. However, the simultaneous detection of multiple biomolecules using MXene-based electrodes is still a challenge. Here, a simple solvothermal process was used to synthesis the Ti

Indexed as

Ascorbic AcidDopamineNanostructuresTitaniumUric AcidBiosensing TechniquesElectrochemical TechniquesElectrodesLimit of DetectionReproducibility of ResultsAscorbic AcidDopamineTitaniumtitanium dioxideUric Acidascorbic aciddopamineelectrochemical sensorsolvothermalTi3C2TxTiO2uric acid

Identifiers

PMID38930980
PMCPMC11206739

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.