Evidence map›Paper›PMID 42181720›Full record

ReviewRSC advances2026

Ratiometric fluorescent sensors based on MXene quantum dots: linking photophysics, architecture, and multi-analyte food detection.

Mohamed Abu Shuheil, Fatima Mayn Fadl, Israa Abdulhameed Ahmad, Maharshikumar B Shukla, Rekha M M, Priyanka Sharma, Bakirov Juma, Murodjon Yaxshimuratov, 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Mohamed Abu ShuheilFaculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University Amman Jordan.
Fatima Mayn FadlDepartment of Pharmacy, College of Pharmacy, The Islamic University Najaf Iraq.
Israa Abdulhameed AhmadDepartment of Anesthesia Techniques, Health and Medical Techniques College, Alnoor University Mosul Iraq.
Maharshikumar B ShuklaDepartment of Chemistry, Faculty of Science, Gokul Global University Sidhpur Gujarat India.
Rekha M MDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University) Bangalore Karnataka India.
Priyanka SharmaDepartment of Forensic Science, University Institute of Allied Health Science, Chandigarh University Mohali Punjab India.
Bakirov JumaDepartment of Preschool and Primary Education, Termiz University of Economics and Service Termez Uzbekistan.
Murodjon YaxshimuratovUrgench State University Urgench Uzbekistan Uzbekistan.
Shayan MahmoodiYoung Researchers and Elite Club, Tehran Branch, Islamic Azad University 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

MXene quantum dots (MQDs) have recently emerged as highly promising nanomaterials for advanced food safety sensing due to their unique electronic structure, rich surface chemistry, and tunable photoluminescence. In this review-a comprehensive overview of MQD-based fluorescent and ratiometric platforms for food analysis-we systematically bridge fundamental photophysical mechanisms with architecture-level sensor design and real-world analytical performance. The discussion begins with the photophysical origins of MQD fluorescence, emphasizing the roles of quantum confinement, surface terminations, defect states, and transition metal d-orbitals in shaping emissive behavior. Building on this foundation, we analyze design strategies for single-emission and ratiometric sensing architectures, highlighting intrinsic and hybrid approaches that enhance signal reliability, self-calibration, and resistance to matrix interference. Recent advances in detecting biogenic amines, antibiotics, nitrite, and multi-analyte targets in complex food systems are critically evaluated, with particular attention to smartphone-integrated and dual-modal platforms. Finally, key translational challenges-including scalability, reproducibility, and regulatory integration-are outlined. Overall, MQD-based ratiometric sensors represent a transformative direction for rapid, robust, and field-deployable food safety monitoring technologies.

Identifiers

PMID42181720
PMCPMC13191749

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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.