ReviewRSC advances2026
Quantum dot sensors for heavy metal detection: from mechanistic design to field deployment: a review.
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.
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.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heavy metal contamination poses a critical global health risk, affecting over 2.2 billion people and necessitating rapid, sensitive, and field-deployable detection technologies. Conventional analytical techniques such as ICP-MS and AAS, while highly accurate, remain constrained by high cost, complex instrumentation, and limited portability, restricting their use in decentralized monitoring. Quantum dots (QDs), owing to their size-tunable photoluminescence, high quantum yields, and excellent photostability, have emerged as powerful alternatives for ultrasensitive detection of toxic metal ions. This review provides a comprehensive and structured overview of QD-based sensing systems, beginning with fundamental aspects including synthesis strategies (colloidal, hydrothermal, and green routes), quantum confinement effects, and exciton dynamics governing optical behaviour. Emphasis is placed on surface functionalization approaches guided by Hard-Soft Acid-Base (HSAB) theory and chelation principles, enabling high selectivity toward target ions. Key sensing mechanisms, including fluorescence quenching and enhancement, Förster resonance energy transfer (FRET), and electrochemical transduction, are critically analyzed. Recent advances in hybrid nanostructures integrating QDs with graphene, metal-organic frameworks, and plasmonic materials are discussed, highlighting significant improvements in sensitivity down to picomolar levels and detection limits as low as 0.1 nM for priority contaminants such as Pb
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Registered trials
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