Evidence map›Paper›PMID 35448281›Full record

ReviewBiosensors2022

A Review of Electrochemical Sensors for the Detection of Glycated Hemoglobin.

Zhikun Zhan, Yang Li, Yuliang Zhao, Hongyu Zhang, Zhen Wang, Boya Fu, Wen Jung Li

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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.

Zhikun ZhanSchool of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Yang LiKey Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.
Yuliang ZhaoSchool of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
Hongyu ZhangDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.
Zhen WangKey Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.
Boya FuKey Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China.
Wen Jung LiDepartment of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, China.

Funding

Fundamental Research Funds for the Central Universities N2023015National Natural Science Foundation of China No.61503322National Natural Science Foundation of China No.61873307Natural Science Foundation of Hebei Province of China No.F2021203070Qinhuangdao Science and Technology Planning Project 201901B013Scientific Research Project of Colleges and Universities in Hebei Province No. ZD2019305the State Key Laboratory of Robotics 2017-011
6 · The paper itself

Abstract

Glycated hemoglobin (HbA1c) is the gold standard for measuring glucose levels in the diagnosis of diabetes due to the excellent stability and reliability of this biomarker. HbA1c is a stable glycated protein formed by the reaction of glucose with hemoglobin (Hb) in red blood cells, which reflects average glucose levels over a period of two to three months without suffering from the disturbance of the outside environment. A number of simple, high-efficiency, and sensitive electrochemical sensors have been developed for the detection of HbA1c. This review aims to highlight current methods and trends in electrochemistry for HbA1c monitoring. The target analytes of electrochemical HbA1c sensors are usually HbA1c or fructosyl valine/fructosyl valine histidine (FV/FVH, the hydrolyzed product of HbA1c). When HbA1c is the target analyte, a sensor works to selectively bind to specific HbA1c regions and then determines the concentration of HbA1c through the quantitative transformation of weak electrical signals such as current, potential, and impedance. When FV/FVH is the target analyte, a sensor is used to indirectly determine HbA1c by detecting FV/FVH when it is hydrolyzed by fructosyl amino acid oxidase (FAO), fructosyl peptide oxidase (FPOX), or a molecularly imprinted catalyst (MIC). Then, a current proportional to the concentration of HbA1c can be produced. In this paper, we review a variety of representative electrochemical HbA1c sensors developed in recent years and elaborate on their operational principles, performance, and promising future clinical applications.

Indexed as

Biosensing TechniquesGlucoseGlycated HemoglobinReproducibility of ResultsValineGlucoseGlycated HemoglobinValinecyclic voltammetrydiabeteselectrochemical impedance spectroscopyelectrochemical sensorfructosyl valine sensorHbA1c sensor

Identifiers

PMID35448281
PMCPMC9024622

What OpenQuestion holds

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Registered trials

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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.