Evidence map›Paper›PMID 42183137›Full record

ReviewRSC advances2026

Electronic-photonic interplay in nitrogen-doped MXene quantum dots: mechanistic insights into dual-mode and multiplexed sensing.

Kamel A Saleh, Wael Waleed Mustafa, Rekha M M, Subhashree Ray, Talal Aziz Qassem, T Krithiga, Renu Sharma, Prakhar Tomar, Shayan Mahmoodi

Abstract readReview
In one paragraph

Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Kamel A SalehFaculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University Amman Jordan.
Wael Waleed MustafaCollege of Pharmacy, Department of Pharmaceutical Sciences, AL-Turath University Baghdad Iraq.
Rekha M MDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University) Bangalore Karnataka India.
Subhashree RayDepartment of Biochemistry, IMS and SUM Hospital, Siksha 'O' Anusandhan Bhubaneswar Odisha-751003 India.
Talal Aziz QassemDepartment of Medical Laboratory Techniques, College of Health and Medical Technology, Alnoor University Mosul Iraq.
T KrithigaDepartment of Chemistry, Sathyabama Institute of Science and Technology Chennai Tamil Nadu India.
Renu SharmaDepartment of Chemistry, University Institute of Sciences, Chandigarh University Mohali Punjab India.
Prakhar TomarCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University Rajpura 140401 Punjab India.
Shayan MahmoodiYoung Researchers and Elite Club, Islamic Azad University Tehran Branch Tehran Iran sh.mahmoodiacademic@gmail.com.ORCID https://orcid.org/0009-0003-5774-334X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen-doped MXene quantum dots (N-MQDs) are emerging nanomaterials with great potential for dual-mode and multiplexed sensing owing to their tunable photoluminescence, high electrical conductivity, and chemically active surfaces. In this work, we aim to clarify the fundamental mechanisms governing the coexistence and coupling of optical and electronic responses in N-MQDs and to provide design principles for their application in sensing platforms. Specifically, the study focuses on how nitrogen doping and surface coordination modify the electronic structure, density of states, and Fermi level alignment, thereby influencing radiative emission, charge transport, and analyte interaction. The sensing behavior is interpreted through the balance between localized dopant-induced states and the delocalized MXene conduction network, which enables dual signal generation with reduced mutual interference. The phenomena are discussed in terms of photoluminescence response, carrier dynamics, surface-state effects, and charge-transfer processes, while the roles of dopant configuration and surface terminations in controlling signal orthogonality and crosstalk suppression are highlighted. Overall, this work presents a mechanistic framework for the rational design of N-MQD-based dual-mode sensing systems for environmental, chemical, and biomedical applications.

Identifiers

PMID42183137
PMCPMC13191758

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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.