Anion Bridged One-Dimensional Copper-Based Metal Organic Frameworks as Peroxidase Mimics for Glucose Detection in Apple Fruits

Abstract

Enzyme mimics attract wide attentions as detection sensors. However, the widespread application is limited by low efficiency and high cost. Herein, two novel enzyme mimics 1 and 2 were developed with peroxidase-like activities. The chain-like structure of 1 exhibited better stability, energy transformation efficiency, and catalytic property than 2. Both of them could generate •OH radicals to oxide chromogenic agents, realizing the colorimetric detection of H₂O₂. Additionally, under the synergy of glucose oxidase, a cascade strategy for detection of glucose was constructed. This method exhibited excellent selectivity, anti-interference, and storage performance, as well as a wide linear range (1–60 μM) at pH = 7.4, with the low detection limits of 0.095 and 0.061 μM for 1 and 2, respectively. Furthermore, the strategy was applied for detecting glucose in apple fruit samples. This work overcomes the shortcomings of current enzyme mimics and paves the way for bioanalysis and agricultural applications.