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Beyond Single‐Analyte Detection: MXene Quantum Dot Platforms for Integrated Fluorescent Mapping of Fruit Bioactives and Quality Indicators

Enas DaoudFaculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research Al‐Ahliyya Amman University Amman JordanFlah Shryf AbdulDepartment of Pharmacy, College of Pharmacy The Islamic University Najaf IraqAmaal Mohammed AliDepartment of Optics Techniques, Health and Medical Techniques College Alnoor University Mosul IraqManoj VoraDepartment of Chemistry, Faculty of Science Gokul Global University Sidhpur Gujarat IndiaR. RoopashreeDepartment of Chemistry and Biochemistry, School of Sciences JAIN (Deemed to be University) Bangalore Karnataka IndiaLalita ChopraDepartment of Chemistry, University Institute of Sciences Chandigarh University Mohali Punjab IndiaAbdusamat RasulovDepartment of Medicine Termez University of Economics and Service Termez UzbekistanErkabay EshchanovDepartment of Chemistry Urgench State University Urgench UzbekistanNeda SarhanYoung Researchers and Elite Club, Tehran Branch Islamic Azad University Tehran Iran
Luminescencejournal2026en
ABI

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MXene quantum dots (MQDs) have emerged as versatile zero-dimensional nanomaterials with tunable photoluminescence, abundant surface functional groups, and excellent charge-transfer capabilities, making them uniquely suited for sensitive and selective fluorescence-based sensing of bioactive compounds and quality indicators in fruits. This review examines synthetic strategies, including top-down and bottom-up approaches, functionalization methods, and reproducibility challenges, highlighting how interface engineering governs analytical performance. As the first comprehensive review in this field, it integrates insights on signal generation paradigms such as ratiometric, sequential, and "on-off-on" fluorescence mechanisms, emphasizing molecular recognition, selectivity control, and interference management. Key applications are surveyed, encompassing detection of antioxidants, metal ions, biogenic amines, and nitrites, with emphasis on real-sample performance, dual-modal strategies, and smartphone-compatible visual sensing. Finally, current limitations, standardization needs, and pathways toward field-deployable fruit monitoring are discussed, offering forward-looking perspectives for MQD-based fluorescent platforms in quality assessment and food safety.

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