Evidence map›Paper›PMID 36354505›Full record

ArticleBiosensors2022

Simultaneous Amperometric Aptasensor Based on Diazonium Grafted Screen-Printed Carbon Electrode for Detection of CFP10 and MPT64 Biomarkers for Early Tuberculosis Diagnosis.

Muhammad Hafiznur Yunus, Nor Azah Yusof, Jaafar Abdullah, Yusran Sulaiman, Nurul Hanun Ahmad Raston, Siti Suraiya Md Noor

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Simultaneous and sensitive detection ofFrontiers in bioengineering and biotechnology · 2025
    Article
  3. Review
  4. Article
  5. Review
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

6 authors at 3 institutions in 1 country.

Muhammad Hafiznur YunusInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Gelugor 11800, Pulau Pinang, Malaysia.ORCID 0000-0001-9391-1548
Nor Azah YusofInstitute of Nanoscience and Nanotechnology (ION2), Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.
Jaafar AbdullahInstitute of Nanoscience and Nanotechnology (ION2), Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0001-9686-4804
Yusran SulaimanInstitute of Nanoscience and Nanotechnology (ION2), Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.ORCID 0000-0002-1841-2447
Nurul Hanun Ahmad RastonSchool of Biosciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Siti Suraiya Md NoorSchool of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.
Universiti Putra Malaysia · MYNational University of Malaysia · MYUniversiti Sains Malaysia · MY

Funding

Malaysia Research University Network (MRUN) UPM/800-4/11/MRUN/2018/5539230
6 · The paper itself

Abstract

Early diagnosis is highly crucial for life-saving and transmission management of tuberculosis (TB). Despite the low sensitivity and time-consuming issues, TB antigen detection still relies on conventional smear microscopy and culture techniques. To address this limitation, we report the development of the first amperometric dual aptasensor for the simultaneous detection of

Indexed as

Aptamers, NucleotideBiosensing TechniquesMycobacterium tuberculosisTuberculosisBiomarkersCarbonEarly DiagnosisElectrodesHumansHydrogen PeroxideAptamers, NucleotideBiomarkersCarbonHydrogen PeroxideamperometryaptameraptasensorCFP10diazonium saltdual detectionMPT64tuberculosis

Identifiers

PMID36354505
PMCPMC9688523
OpenAlexW4308711778

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.