Redox-programmable quantum dots for high-valence and strongly redox-active ion recognition: from reactivity windows to adaptive MXene platforms

用于高价和强氧化还原活性离子识别的氧化还原可编程量子点:从反应窗口到自适应MXene平台

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Abstract

High-valence redox-active ions, exemplified by species such as Fe(3+), Cr(vi), Mn(vii), and Ag(+), pose fundamental challenges for conventional sensing and recognition platforms due to their intrinsic chemical aggressiveness, narrow stability windows, and propensity for uncontrolled redox transformations. In this review, these chemically aggressive high-valence ions are the primary focus, while more moderately oxidizing species such as Cu(2+) are referenced only as comparative benchmarks for shifting MXene quantum dot (MQD) responses within a broader redox-activity spectrum. Despite the rapid progress in nanomaterial-based probes, a unified framework that connects ion valence chemistry, redox constraints, and nanoscale material design is still lacking. Here, we present the first comprehensive review that systematically integrates the thermodynamic and kinetic behaviors of high-oxidation-state ions with quantum confinement – driven redox modulation specifically in MXene quantum dot (MQD) systems. This review begins by establishing the valence-driven reactivity windows that govern the accessibility and instability of high-valence ions, independent of specific material classes. Then, it elucidates how quantum confinement fundamentally reshapes redox responsiveness by discretizing energy states, localizing charge carriers, and amplifying surface-dominated interactions. Building on this foundation, MQDs are examined as redox-programmable platforms capable of translating aggressive ion reactivity into controlled optical signals and multifunctional responses, including detection, validation, and chemical intervention. Rather than emphasizing record detection limits, this review highlights design rules that govern when redox activity enhances functionality and when it undermines stability and interpretability. By reframing redox behavior as a programmable design parameter, this work provides a conceptual roadmap for next-generation adaptive sensing and remediation platforms targeting chemically complex, high-valence ion systems.

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