Evidence map›Paper›PMID 36557441›Full record

ArticleMicromachines2022

A Noninvasive Sweat Glucose Biosensor Based on Glucose Oxidase/Multiwalled Carbon Nanotubes/Ferrocene-Polyaniline Film/Cu Electrodes.

Yanfang Guan, Lei Liu, Shaobo Yu, Feng Lv, Mingshuo Guo, Qing Luo, Shukai Zhang, Zongcai Wang, Lan Wu, Yang Lin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 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
0.8field-weighted citation impact, top 28% 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, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Micromachines · 2023
    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

11 authors at 2 institutions in 2 countries.

Yanfang GuanSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.ORCID 0000-0001-5615-5077
Lei LiuSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Shaobo YuSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Feng LvSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Mingshuo GuoSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Qing LuoSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Shukai ZhangSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Zongcai WangSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Lan WuSchool of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Yang LinDepartment of Mechanical, Industrial & Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA.ORCID 0000-0002-8261-8984
Guangyu LiuProvincial Key Laboratory of Cereal Resource Transformation and Utilization, Henan University of Technology, Zhengzhou 450001, China.ORCID 0000-0001-7026-590X
Henan University of Technology · CNUniversity of Rhode Island · US

Funding

Innovative Funds Plan of Henan University of Technology No. 2020ZKJC27National Engineering Laboratory/Provincial Key Laboratory of food Science Discipline, Henan University of Technology No: NL2021011, PL2018004
6 · The paper itself

Abstract

Diabetes remains a great threat to human beings' health and its world prevalence is projected to reach 9.9% by 2045. At present, the detection methods used are often invasive, cumbersome and time-consuming, thus increasing the burden on patients. In this paper, we propose a novel noninvasive and low-cost biosensor capable of detecting glucose in human sweat using enzyme-based electrodes for point-of-care uses. Specifically, an electrochemical method is applied for detection and the electrodes are covered with multilayered films including ferrocene-polyaniline (F-P), multi-walled carbon nanotubes (MWCNTs) and glucose oxidase (GOx) on Cu substrates (GOx/MWCNTs/F-P/Cu). The coated layers enhance the immobilization of GOx, increase the conductivity of the anode and improve the electrochemical properties of the electrode. Compared with the Cu electrode and the F-P/Cu electrode, a maximum peak current is obtained when the MWCNTs/F-P/Cu electrode is applied. We also study its current response by cyclic voltammetry (CV) at different concentrations (0-2.0 mM) of glucose solution. The best current response is obtained at 0.25 V using chronoamperometry. The effective working lifetime of an electrode is up to 8 days. Finally, to demonstrate the capability of the electrode, a portable, miniaturized and integrated detection device based on the GOx/MWCNTs/F-P/Cu electrode is developed. The results exhibit a short response time of 5 s and a correlation coefficient R

Indexed as

biosensorelectrochemical methodenzyme-based electrodenoninvasive detectionsweat glucose

Identifiers

PMID36557441
PMCPMC9787487
OpenAlexW4311518581

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.