Evidence map›Paper›PMID 39727882›Full record

ArticleBiosensors2024

A Highly Stable Electrochemical Sensor Based on a Metal-Organic Framework/Reduced Graphene Oxide Composite for Monitoring the Ammonium in Sweat.

Yunzhi Hua, Junhao Mai, Rourou Su, Chengwei Ma, Jiayi Liu, Cong Zhao, Qian Zhang, Changrui Liao, Yiping Wang

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Yunzhi HuaSchool of Information and Communication, Shenzhen Institute of Information Technology, Shenzhen 518172, China.
Junhao MaiGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China.
Rourou SuGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China.
Chengwei MaGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China.
Jiayi LiuGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China.
Cong ZhaoGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China.
Qian ZhangKey Laboratory of Clinical Evaluation Technology for Medical Device of Zhejiang Province, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Changrui LiaoKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Yiping WangGuangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China.ORCID 0000-0002-7730-8906

Funding

High-Talent Research Funding under Grant RC2022-001National Natural Science Foundation of China (NSFC) 62205221PhD Research Startup Project of Shenzhen Institute of Information Technology SZIIT2021KJ046Shenzhen Science and Technology Program Shenzhen Key Laboratory of Ultrafast Laser Micro/Nano Manufacturing ZDSYS20220606100405013Zhejiang Provincial Natural Science Foundation of China LQ20C100001
6 · The paper itself

Abstract

The demand for non-invasive, real-time health monitoring has driven advancements in wearable sensors for tracking biomarkers in sweat. Ammonium ions (NH

Indexed as

Ammonium CompoundsBiosensing TechniquesElectrochemical TechniquesGraphiteMetal-Organic FrameworksSweatHumansLimit of DetectionNanocompositesWearable Electronic DevicesAmmonium Compoundsgraphene oxideGraphiteMetal-Organic Frameworksammonium ion detectionmetal–organic framework (MOF)reduced graphene oxide (rGO)sweat monitoringwearable sensor

Identifiers

PMID39727882
PMCPMC11674821

What OpenQuestion holds

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LicenceCC BY
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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.