Evidence map›Paper›PMID 33679157›Full record

ArticleTurkish journal of chemistry2021

A new electrochemical impedance biosensor based on aromatic thiol for alpha-1 antitrypsin determination.

Hülya YaĞar, Hakkı Mevlüt Özcan, Osman Mehmet

Open access · bronzeAbstract read
In one paragraph

Article in Turkish journal of chemistry, 2021. 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
0.2field-weighted citation impact, top 48% 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, 6 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Hülya YaĞarDepartment of Chemistry, Faculty of Science, Trakya University, Edirne Turkey.ORCID https://orcid.org/0000-0003-3738-2500
Hakkı Mevlüt ÖzcanDepartment of Chemistry, Faculty of Science, Trakya University, Edirne Turkey.ORCID https://orcid.org/0000-0003-2204-7267
Osman MehmetDepartment of Chemistry, Faculty of Science, Trakya University, Edirne Turkey.ORCID https://orcid.org/0000-0001-6679-1907
Trakya University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha-1 antitrypsin (A1AT) is one of the acute phase proteins which are synthesized in the liver. A1AT inhibits the activity of many proteases, but its main task is to protect the lungs from the attack of neutrophil elastase. In an autosomal hereditary disease known as alpha-1 antitrypsin deficiency, the A1AT level in blood serum decreases, increasing the risk of developing emphysema, liver apoptosis, and liver cancer. Thus, the detection of A1AT concentration in blood serum is very important. In this study, an impedimetric biosensor was developed, forming an SAM (self-assembled monolayer) with 4-mercaptophenylacetic acid (4MPA) on the surface of the gold electrode. An A1AT biosensor was constructed using immobilization of an A1AT-specific antibody (anti-A1AT) after activating the carboxyl groups of 4MPA with EDC/NHS. Each immobilization stage was characterized by using electrochemical impedance spectroscopy, cyclic voltammetry, and scanning electron microscopy with energy dispersive X-ray spectroscopy. With the designed biosensor, precise and highly reproducible results were obtained for A1AT concentrations in the range of 100-600 µg/mL. A1AT detection was also successfully carried out in artificial serum solutions spiked with A1AT.

Indexed as

4-mercaptophenylacetic acidAlpha-1 antitrypsinAlzheimer’s diseaseelectrochemical immunosensorpulmonary emphysema

Identifiers

PMID33679157
PMCPMC7925324
OpenAlexW3130767687

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.