Evidence map›Paper›PMID 41654600›Full record

ArticleScientific reports2026

Crumpled Ti₃C₂Tₓ MXene electrodes with tunable surface chemistry for high-performance and selective electrochemical biosensing.

Faisal Aburub, Q Abdullah, Suleiman Ibrahim Mohammad, Asokan Vasudevan, Shirin Shomurotova, M M Rekha, Anupam Agarwal, Abhayveer Singh, Renu Sharma, Arsham Banimadadi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Review
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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

10 authors.

Faisal AburubDepartment of Business Intelligence & Data Analytics, University of Petra, Amman, Jordan.
Q AbdullahDepartment of computers Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq.
Suleiman Ibrahim MohammadElectronic Marketing and Social Media, Economic and Administrative Sciences, Zarqa University, Zarqa, Jordan.
Asokan VasudevanFaculty of Business and Communications, INTI International University, 71800, Nilai, Negeri Sembilan, Malaysia.
Shirin ShomurotovaDepartment of Chemistry Teaching Methods, National Pedagogical University of Uzbekistan, Bunyodkor street 27, Tashkent, Uzbekistan.
M M RekhaDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Anupam AgarwalSharda School of Engineering & Science Sharda University, Greater Noida, UP, India.
Abhayveer SinghCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India.
Renu SharmaDepartment of Chemistry, University Institute of Sciences, Chandigarh University, Mohali, Punjab, India.
Arsham BanimadadiYoung Researchers and Elite Club, Tehran University, Tehran, Iran. arshambanimadadi.academic@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crumpled Ti₃C₂Tₓ MXene-modified glassy carbon electrodes (GCEs) were engineered and analyzed to elucidate how surface chemistry and nanoscale morphology jointly govern selective biomolecule detection. The study integrates experimental electrochemical measurements and COMSOL Multiphysics modeling to decode charge-transfer and adsorption mechanisms for ascorbic acid (AA), dopamine (DA), uric acid (UA), and acetaminophen (ACA). The optimized crumpled MXene (10 nm amplitude, 10 nm layer thickness) exhibited superior sensitivity (0.77–0.82 µA µM⁻¹) and detection limits of 0.6–0.9 µM across 10–200 µM concentration ranges. High surface area (150 m² g⁻¹) and abundant –OH/–O terminations promoted π–π stacking and hydrogen bonding, enhancing analyte adsorption and electron transfer. Computational modeling, coupling Nernst–Planck and Butler–Volmer kinetics, predicted diffusion coefficients (1.2 × 10⁻⁵ cm² s⁻¹) and steady-state response times (1.47–2.38 s) that closely matched experimental results. Competitive adsorption caused only 5–8% sensitivity loss in multicomponent systems, while selectivity tests demonstrated < 2.5% current variation in the presence of interferents such as glucose or citric acid. These findings reveal a synergistic interplay between MXene surface functionality and crumpled morphology, offering a predictive framework for designing robust, high-performance electrochemical biosensors suitable for complex biological and food matrices.

Indexed as

Biosensing TechniquesElectrochemical TechniquesAcetaminophenAdsorptionAscorbic AcidCarbonDopamineElectrodesNitritesSurface PropertiesTransition ElementsUric AcidAcetaminophenAscorbic AcidCarbonDopamineMXeneNitritesTransition ElementsUric AcidCharge-transfer kineticsCOMSOL modelingCrumpled nanostructuresDopamine detectionElectrochemical biosensorMXeneSurface chemistry

Identifiers

PMID41654600
PMCPMC12946244

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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.