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Sensitive detection of cholesterol in animal-derived foods is crucial for maintaining human healthy diets. In this study, an elegant approach utilizing inorganic nanozyme-based magnetic mesoporous silica nanoparticles (MMSNs) for the highly sensitive detection of cholesterol in animal-derived food products was reported. The results revealed the fabricated MMSNs exhibited remarkably intrinsic peroxidase (POD)-like catalytic activities with improved affinity, and the catalytic behavior aligned well with Michaelis-Menten equation. In addition, the data indicated that the MMSNs enabled visual colorimetric detection of cholesterol with a remarkably low detection limit of 7.12 μM by combining catalytic oxidation with cholesterol oxidase (ChOx). Furthermore, the prepared MMSNs were successfully employed for assessing cholesterol content in milk and egg yolk samples, indicating potential applications for cholesterol detection in animal-derived foods in future., Competing Interests: Declaration of Competing Interest The work described has not been submitted elsewhere for publication, in whole or in part; and it has been read and approved by all the named authors. There are no known conflicts of interest associated with this publication., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Herein, a novel heterogeneous nanozyme with peroxidase (POD)-like activity was conducted to achieve ultrasensitive visual detection of calcium peroxide (CaO 2 ) in flour by the assembly of binary copper-trapped mesoporous silica layer coated magnetite nanoparticles (Fe 3 O 4 @SiO 2 @CuO NPs). The prepared nanozymes were characterized using HRTEM, SEM, FT-IR, XRD, DLS, and EIS, which displayed a dispersed core-shell structure with a uniform diameter of approximately 100 nm. The nanozymes exhibited remarkable and stable POD-like activity in a wide range of pH values, incubation temperature, and reaction time, and the optimum catalytic activity was obtained at pH 3.6, 37 °C, and 10 min. The quantification range of CaO 2 of this method is 0.1-5 mM with a limit as low as 5.6 × 10 -3 mM, and it is not affected by multiple interferences. In conclusion, this detection method is sensitive, stable, low-cost, and simple to operate, so it has broad application prospects in the detection of food additives such as CaO 2 ., (Copyright © 2022 Elsevier B.V. All rights reserved.)