Smartphone-integrated one-step colorimetric glucose detection at physiological pH enabled by a haloperoxidase mimic
摘要
Nanozymes (primarily peroxidase mimics) coupled with glucose oxidase (GOx) have emerged as an important approach for glucose sensing. However, the widespread application of this strategy is hampered by a critical pH mismatch, as most such nanozymes require an acidic environment for high activity, preventing one-step detection at physiological pH. Here, we report a cascade colorimetric sensing platform based on our previously reported haloperoxidase (HPO) mimic HH-Cu, which exhibits high HPO-like activity exclusively under neutral and alkaline conditions, enabling one-step glucose detection at physiological pH. In this system, GOx catalyzes the oxidation of glucose to generate H2O2, which is utilized by HH-Cu along with externally added Br− to convert phenol red into bromophenol blue (λmax = 590 nm) through its HPO-like activity, resulting in a visible color change from orange to blue. Spectrophotometric analysis yielded a linear detection range of 1–600 μM and a detection limit of 0.99 μM for glucose, with recovery rates of 90.8%–106.6% and relative standard deviations (RSD) below 7% in urine samples. A smartphone-based analysis platform was also developed and showed performance comparable to the spectrophotometric method, with a linear range of 2.5–600 μM, a detection limit of 2.20 μM, and recovery rates of 105.5% in biological samples. Both platforms were also successfully applied to the sensitive detection of H2O2 at physiological pH. This work not only overcomes the key limitation of pH mismatch in conventional enzyme/nanozyme-based colorimetric glucose detection but also broadens the application horizon of HPO mimics in biosensing.
Graphical Abstract