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Demonstrates selective potassium detection in simulated blood, suggesting robust clinical monitoring applications.
Maintaining serum potassium homeostasis is essential, as even small deviations can disrupt cardiac electrophysiology and lead to life-threatening complications. Here, we present a quartz crystal microbalance (QCM) sensing platform with potassium-selective poly(4-acryloylamidobenzo-15-crown-5) polymers brushes fabricated via surface-initiated Cu(0)-mediated controlled radical polymerization. This approach enables the in situ growth of ion-recognition polymer brushes and allows precise control of brush thickness through regulation of polymerization kinetics. The QCM chip with an optimized brush thickness of 20.2 nm exhibits well-defined K+-induced frequency shifts, establishing a clear correlation between K+ concentration and sensor response. The sensor achieves rapid (<60 s), selective, and quantitative detection over the 3–10 mM range, fully covering the physiological blood potassium range (3.5–5.5 mM), with a detection limit as low as 0.2 mM. The chips also demonstrate excellent reproducibility and stability, with a relative standard deviation of 7.8% across ten independently fabricated devices and 2.7% over ten consecutive measurement cycles using a single chip. Furthermore, reliable and reversible responses are confirmed in dynamic monitoring experiments and with simulated blood samples, without significant sample consumption. This work establishes a structurally tunable polymer–brush interface for selective ion recognition on QCM platforms and provides a robust analytical strategy for real-time electrolyte monitoring, offering strong potential for rapid and continuous clinical and point-of-care applications.
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Zhang et al. (2026) studied this question.
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