# Mn-Doped CeO2 Nanozyme-Integrated Mesoporous Interfaces for High-Sensitivity Antifouling Electrochemiluminescence Biosensing

## TL;DR

This paper introduces a new ECL biosensing platform using a Mn-doped CeO2 nanozyme and mesoporous silica to improve sensitivity and reduce interference in complex biological samples.

## Contribution

The novel Mn@CeO2 nanozyme and mesoporous interface design enhances ECL sensor performance with antifouling and mass transfer properties.

## Key findings

- Mn-doped CeO2 nanozyme improves electron transfer and peroxidase-like activity.
- Mesoporous silica nanoparticles enhance mass transfer and ECL reaction efficiency.
- The platform successfully detects dopamine in complex biological samples with high accuracy.

## Abstract

To address the challenges of nonspecific adsorption interference and low mass transfer efficiency encountered by electrochemiluminescence (ECL) sensors in complex biological matrices, this study developed a Mn@CeO2 nanozyme-based sensing interface. The Mn-doped CeO2 enhanced electron transfer efficiency, increased oxygen vacancy concentration, and stabilized the Mn-O-Ce structure, collectively enabling highly efficient peroxidase (POD)-like activity. The design significantly improved ECL reaction efficiency, which simultaneously conferred synergistic antifouling and mass transport enhancing properties. The mesoporous silica nanoparticle on the sensing interface accelerated mass transfer processes, thereby overcoming the limitations of traditional diffusion-controlled kinetics. The Mn@CeO2 nanozyme and mesoporous silica nanoparticle synergistically improved electron transfer and reactant enrichment, thereby significantly enhancing the signal response. Concurrently, a biomimetic anti-fouling coating was introduced at the interface to effectively suppress nonspecific adsorption of interferents. The constructed nanozyme-enhanced ECL sensing platform was demonstrated through the detection of dopamine (DA) as a model neurotransmitter, exhibiting favorable detection performance while maintaining high-accuracy detection in complex biological samples. This strategy offers a novel approach to developing highly sensitive and interference-resistant ECL sensors, with promising applications in disease biomarker monitoring and live physiological sample analysis.