Evidence map›Paper›PMID 34640714›Full record

ArticleSensors (Basel, Switzerland)2021

Immunoglobulin E Detection Method Based on Cascade Enzymatic Reaction Utilizing Portable Personal Glucose Meter.

Hyogu Han, Junhyun Park, Jun Ki Ahn

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

3 authors at 3 institutions in 1 country.

Hyogu HanMaterial & Component Convergence R&D Department, Korea Institute of Industrial Technology (KITECH), Ansan 15588, Korea.
Junhyun ParkMaterial & Component Convergence R&D Department, Korea Institute of Industrial Technology (KITECH), Ansan 15588, Korea.
Jun Ki AhnMaterial & Component Convergence R&D Department, Korea Institute of Industrial Technology (KITECH), Ansan 15588, Korea.ORCID 0000-0001-6405-9923
Gangneung–Wonju National University · KRKonkuk University · KRKorea Institute of Industrial Technology · KR

Funding

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry 321104-3National Research Foundation of Korea 2020R1F1A1076052
6 · The paper itself

Abstract

We herein describe a cascade enzymatic reaction (CER)-based IgE detection method utilizing a personal glucose meter (PGM), which relies on alkaline phosphatase (ALP) activity that regulates the amount of adenosine triphosphate (ATP). The amount of sandwich assay complex is determined according to the presence or absence of the target IgE. Additionally, the ALP in the sandwich assay catalyzes the dephosphorylation of ATP, a substrate of CER, which results in the changes in glucose level. By employing this principle, IgE was reliably detected at a concentration as low as ca. 29.6 ng/mL with high specificity toward various proteins. Importantly, the limit of detection (LOD) of this portable PGM-based approach was comparable to currently commercialized ELISA kit without expensive and bulky analysis equipment as well as complexed washing step. Finally, the diagnostic capability of this method was also successfully verified by reliably detecting IgE present in a real human serum sample with an excellent recovery ratio within 100 ± 6%.

Indexed as

Biosensing TechniquesGlucoseBlood Glucose Self-MonitoringHumansImmunoglobulin ELimit of DetectionGlucoseImmunoglobulin Ealkaline phosphatasebiosensorcascade enzymatic reactionimmunoglobulin Epersonal glucose meter

Identifiers

PMID34640714
PMCPMC8513091
OpenAlexW3202083360

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.