Evidence map›Paper›PMID 39951242›Full record

ArticleMikrochimica acta2025

Molecularly imprinted nanocomposites-based synthetic antibodies for uric acid-specific non-invasive electrochemical gout sensors.

Noor Shahzad, Adeel Afzal

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Noor ShahzadSensors and Diagnostics Lab, School of Chemistry, University of the Punjab, Quaid-I-Azam Campus, Lahore, 54590, Pakistan.
Adeel AfzalSensors and Diagnostics Lab, School of Chemistry, University of the Punjab, Quaid-I-Azam Campus, Lahore, 54590, Pakistan. adeel.chem@pu.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A disposable electrochemical sensor is introduced for the selective recognition of uric acid (UA), a crucial biomarker for gout arthritis. The sensor employs synthetic antibodies composed of molecularly imprinted polythiophene (MIP) laden graphitic carbon nitride (GCN) nanocomposites for the selective recognition of UA. Microscopic analysis demonstrates an increase in surface roughness and kurtosis after removing the template, indicating the fabrication and functionalization of the MIP/GCN sensors. These sensors exhibit excellent electrochemical properties, characterized by electrochemical impedance spectroscopy (EIS) and voltammetric (CV, DPV) methods. The sensor displays a wide linear detection range (1-500 µM), encompassing the normal UA levels in human saliva, high sensitivity (5.47 µA/cm

Indexed as

Biosensing TechniquesElectrochemical TechniquesGoutMolecular ImprintingMolecularly Imprinted PolymersNanocompositesUric AcidGraphiteHumansLimit of DetectionNitrogen CompoundsPolymersSalivaThiophenesGraphitegraphitic carbon nitrideMolecularly Imprinted PolymersNitrogen CompoundsPolymerspolythiopheneThiophenesUric AcidElectrochemical sensorsGout diagnosisMolecular imprintingPoint-of-care testingUric acid

Identifiers

PMID39951242

What OpenQuestion holds

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Read underepoch 390

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.