Evidence map›Paper›PMID 36676577›Full record

ArticleMaterials (Basel, Switzerland)2023

A High Performance Triboelectric Nanogenerator Based on MXene/Graphene Oxide Electrode for Glucose Detection.

Wei Yang, Xu Cai, Shujun Guo, Long Wen, Zhaoyang Sun, Ruzhi Shang, Xin Shi, Jun Wang, Huamin Chen, Zhou Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2023. 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. 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

10 authors.

Wei YangCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Xu CaiCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Shujun GuoCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Long WenCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Zhaoyang SunCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Ruzhi ShangCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Xin ShiCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Jun WangCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Huamin ChenCollege of Materials and Chemical Engineering, Minjiang University, Fuzhou 350108, China.
Zhou LiBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China.ORCID 0000-0002-9952-7296

Funding

Fuzhou City Science and Technology Cooperation Project 2021-S-091Fuzhou City Science and Technology Cooperation Project 2022-R-003Fuzhou Institute of Oceanography project 2021F06National Natural Science Foundation of China 12174172National Natural Science Foundation of China 52201043Natural Science Foundation of Fujian 2020J01857
6 · The paper itself

Abstract

A smart sensing platform based on a triboelectric nanogenerator (TENG) possesses various advantages such as self-powering, convenience, real-time and biocompatibility. However, the detection limit of the TENG-based sensor is required to be improved. In this study, a high performance TENG-based glucose sensor was proposed by using the Ti

Indexed as

glucose detectiongraphene oxideMXenenanostructuretriboelectric nanogenerator

Identifiers

PMID36676577
PMCPMC9863351

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.