journal article·2026-07-27

An Efficient Detection Platform Based on Mesoporous Au@Cr 2 O 3 Particles with Schwarz P Surface for Precise Periodontitis Metabolite Profiling

Yue Sun, Yan Wang, Fangying Shi, Wenhe Xie, Yiding Zhang, Heyuhan Zhang, Chunhui Deng, Limin Wu, Meihua Chen, Yonghui Deng

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Abstract

ABSTRACT Matrix materials with high desorption and ionization efficiency are crucial for the sensitive and accurate metabolite profiling in matrix‐assisted laser desorption ionization mass spectrometry (MALDI‐MS). Herein, we develop an efficient detection platform based on Au nanoparticles decorated mesoporous Cr 2 O 3 (Au@mCr 2 O 3 ) particles with a single primitive continuous structure (i.e., Schwarz P surface) as the matrix. Owing to the low‐tortuosity mesoporous pathways and customized chemical composition, the Au@mCr 2 O 3 exhibits high‐efficiency light absorption and electron transfer, showing great potential for sensitive, reproducible, and selective metabolite detection. Therefore, it is considered as a high‐performance and reliable matrix material for metabolic biomarkers screening. As a proof of concept, the Au@mCr 2 O 3 ‐based detection platform decodes the saliva metabolic fingerprints. With the assistance of machine learning, the platform achieves high diagnostic performance for periodontitis, with the areas under the curve of 0.875–0.934. Furthermore, a simplified biomarker panel is established, which provides a deeper mechanism understanding of the metabolic alternation of periodontitis and offers new insights into its diagnosis and pathogenesis.
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Research context

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Affiliations

Department of Chemistry Shanghai Stomatological Hospital & School of Stomatology State Key Laboratory of Coatings for Advanced Equipment Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials Fudan University Shanghai P. R. China

School of Materials Science and Chemical Engineering Ningbo University Ningbo P. R. China

Institute of Energy and Materials Chemistry Inner Mongolia University Hohhot P. R. China

Funding

National Natural Science Foundation of China · Science and Technology Commission of Shanghai Municipality · China Postdoctoral Science Foundation

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