Three-Metal Oxide Hollow Lamellar Cube and Oxygen Vacancy Engineering: Construction of a Dual-Mode Sensing Platform and Collaborative Detection Mechanism

With increasing public awareness of healthcare, the demand for early screening of cancer biomarkers has grown substantially. Nanozymes, with their unique catalytic and sensing properties, have emerged as promising alternatives in this field. Herein, a cascade catalytic system was developed by integrating natural glucose oxidase with oxygen vacancy-rich trimetallic oxide nanozymes. Through specific immunorecognition, efficient conversion of biological signals into measurable outputs was achieved, enabling the construction of a dual-mode colorimetric and photothermal sensing platform for the sensitive detection of carcinoembryonic antigens. Density functional theory calculations revealed that the trimetallic synergistic strategy effectively modulates the distribution of active sites and electronic structures. The presence of abundant oxygen vacancies and a multilayered stacked morphology further enhanced the peroxidase-like activity and substrate activation capability. Under optimized conditions, the photothermal mode exhibited a broad linear range from 0.05 to 50 ng mL<sup>-1</sup>, while the colorimetric mode showed a sensitive response from 0.015 to 100 ng mL<sup>-1</sup>, with corresponding detection limits of 14.2 and 9.7 pg mL<sup>-1</sup>, respectively. This work demonstrates that the synergy between multimetallic components and oxygen vacancies can significantly enhance artificial enzyme performance, offering a robust sensing platform with dual-signal output. The strategy not only shows excellent applicability in real sample analysis but also provides a new avenue for high-throughput and multidimensional bioanalytical applications.

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Publication Details

Journal
Analytical Chemistry
Published
2025-09-01
DOI
https://doi.org/10.1021/acs.analchem.5c04298
Citations
7
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
3.62
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article

Three-Metal Oxide Hollow Lamellar Cube and Oxygen Vacancy Engineering: Construction of a Dual-Mode Sensing Platform and Collaborative Detection Mechanism

Shuqun Lao, Dianping Tang, Haiyang Wang, Di Wu
7 citations
Analytical Chemistry
Advanced Nanomaterials in Catalysis
3.62
article

Three-Metal Oxide Hollow Lamellar Cube and Oxygen Vacancy Engineering: Construction of a Dual-Mode Sensing Platform and Collaborative Detection Mechanism

Shuqun Lao, Dianping Tang, Haiyang Wang, Di Wu
article en
7 citations

Abstract

With increasing public awareness of healthcare, the demand for early screening of cancer biomarkers has grown substantially. Nanozymes, with their unique catalytic and sensing properties, have emerged as promising alternatives in this field. Herein, a cascade catalytic system was developed by integrating natural glucose oxidase with oxygen vacancy-rich trimetallic oxide nanozymes. Through specific immunorecognition, efficient conversion of biological signals into measurable outputs was achieved, enabling the construction of a dual-mode colorimetric and photothermal sensing platform for the sensitive detection of carcinoembryonic antigens. Density functional theory calculations revealed that the trimetallic synergistic strategy effectively modulates the distribution of active sites and electronic structures. The presence of abundant oxygen vacancies and a multilayered stacked morphology further enhanced the peroxidase-like activity and substrate activation capability. Under optimized conditions, the photothermal mode exhibited a broad linear range from 0.05 to 50 ng mL<sup>-1</sup>, while the colorimetric mode showed a sensitive response from 0.015 to 100 ng mL<sup>-1</sup>, with corresponding detection limits of 14.2 and 9.7 pg mL<sup>-1</sup>, respectively. This work demonstrates that the synergy between multimetallic components and oxygen vacancies can significantly enhance artificial enzyme performance, offering a robust sensing platform with dual-signal output. The strategy not only shows excellent applicability in real sample analysis but also provides a new avenue for high-throughput and multidimensional bioanalytical applications.

Analytical ChemistryVol. 97(36)
Key Laboratory of Guangdong Province (CN), Fuzhou University (CN)
Openalex Percentile: Top 6%
Advanced Nanomaterials in Catalysis
3.62
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