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Revisiting Carbon Quantum Dots for Malachite Green: Mechanistic Insights, Functional Integration, and Translational Barriers

Mohamed Abu ShuheilFaculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research Al‐Ahliyya Amman University Amman JordanRoopashree RDepartment of Chemistry and Biochemistry, School of Sciences JAIN (Deemed to Be University) Bangalore Karnataka IndiaIrwanjot KaurDepartment of Chemistry & Biochemistry, Sharda School of Engineering & Sciences Sharda University Greater Noida IndiaAhmed AldulaimiCollege of Food Sciences Al‐Qasim Green University Babylon IraqMaha Mohammed TawfiqAl Noor University CollegeKamal Kishore ThakurDepartment of Chemistry, University Institute of Sciences Chandigarh University Mohali Punjab IndiaRasulbek Jumyazovich EshmetovDepartment of Natural Science Mamun University Khiva UzbekistanKhusanov SaidbekDepartment of Basic Medical Sciences Termez University of Economics and Service Termez UzbekistanAhmad AmiriYoung Researchers and Elite Club, Tehran Branch Islamic Azad University Tehran Iran
2026en
ABI

Annotatsiya

Carbon quantum dots (CQDs) have emerged as promising nanomaterials for addressing the environmental and biological challenges associated with malachite green (MG), a persistent and toxic dye. This review revisits the role of CQDs by integrating advances in rational design, photophysical interaction mechanisms, and multifunctional applications. Emphasis is placed on how precursor engineering, heteroatom doping, and surface functionalization govern CQD performance, while highlighting persistent limitations in reproducibility and structural control. Mechanistic insights into CQD-dye interactions-including Förster resonance energy transfer, photoinduced electron transfer, and inner filter effects-are examined to reveal common misinterpretations and methodological gaps. Reported applications in sensing, bioimaging, and toxicity assessment are evaluated with a critical lens, demonstrating that while CQDs offer notable sensitivity and imaging capability, challenges in selectivity, quantitative reliability, and biological specificity remain. Furthermore, the lack of integration between sensing and imaging functionalities underscores a key limitation in current research paradigms. Translational barriers, including scalability, standardization, long-term safety, and regulatory uncertainty, are identified as major obstacles to real-world deployment. This review provides a cohesive perspective aimed at bridging fundamental understanding with application-driven innovation in CQD-based platforms for MG monitoring.

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