Dual model biosensor integrated with peroxidase-like activity and self-assembly for uric acid detection

Uric acid (UA), the final product of purine metabolism, is a crucial biomarker for gout diagnostics and highly related to various metabolic diseases. Precise detection of UA levels in serum and urine enables disease diagnosis and guides treatment. Combining the advantages of colorimetry and laser desorption/ionization mass spectrometry (LDI-MS), we developed a dual-model biosensor based on hollow Cu<sub>2</sub>O@Au nanocubes (h-Cu<sub>2</sub>O@Au NCs) for UA detection. The h-Cu<sub>2</sub>O@Au NCs demonstrated excellent peroxidase (POD)-like activity and were used to rapidly detect UA by colorimetric assay, with a linear range of 0.05-2 mM and limit of detection (LOD) of 35.71 μM. Moreover, the h-Cu<sub>2</sub>O@Au NCs achieved enrichment and detection of UA <i>via</i> the liquid-liquid interface self-assembly-assisted LDI-MS, with a linear range of 0.01-0.5 mM, LOD of 15.6 μM, and reproducibility of <5%. In view of its advantages, the dual-model nanoplatform based on h-Cu<sub>2</sub>O@Au NCs achieved UA detection in serum samples by colorimetry assay and in urine samples by LDI-MS, obtaining results consistent with the commercial UA assay kit (72-511 μM for serum, <i>R</i><sup>2</sup> = 0.956 and 2-9 mM for urine, <i>R</i><sup>2</sup> = 0.876), presenting potential in the rapid and sensitive detection of UA in clinic.

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Publication Details

Journal
Journal of Materials Chemistry B
Published
2025-01-01
DOI
https://doi.org/10.1039/d5tb00692a
Citations
3
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
1.55

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article

Dual model biosensor integrated with peroxidase-like activity and self-assembly for uric acid detection

Yuning Wang, Shouzhi Yang, Yijing Ding, Xiaoyu Xu et al.
3 citations
Journal of Materials Chemistry B
Advanced Nanomaterials in Catalysis
1.55
article

Dual model biosensor integrated with peroxidase-like activity and self-assembly for uric acid detection

Yuning Wang, Shouzhi Yang, Yijing Ding, Xiaoyu Xu, Kun Qian, Dingyitai Liang, Ziqi Ding, Wenxuan Tang
article en
3 citations

Abstract

Uric acid (UA), the final product of purine metabolism, is a crucial biomarker for gout diagnostics and highly related to various metabolic diseases. Precise detection of UA levels in serum and urine enables disease diagnosis and guides treatment. Combining the advantages of colorimetry and laser desorption/ionization mass spectrometry (LDI-MS), we developed a dual-model biosensor based on hollow Cu<sub>2</sub>O@Au nanocubes (h-Cu<sub>2</sub>O@Au NCs) for UA detection. The h-Cu<sub>2</sub>O@Au NCs demonstrated excellent peroxidase (POD)-like activity and were used to rapidly detect UA by colorimetric assay, with a linear range of 0.05-2 mM and limit of detection (LOD) of 35.71 μM. Moreover, the h-Cu<sub>2</sub>O@Au NCs achieved enrichment and detection of UA <i>via</i> the liquid-liquid interface self-assembly-assisted LDI-MS, with a linear range of 0.01-0.5 mM, LOD of 15.6 μM, and reproducibility of <5%. In view of its advantages, the dual-model nanoplatform based on h-Cu<sub>2</sub>O@Au NCs achieved UA detection in serum samples by colorimetry assay and in urine samples by LDI-MS, obtaining results consistent with the commercial UA assay kit (72-511 μM for serum, <i>R</i><sup>2</sup> = 0.956 and 2-9 mM for urine, <i>R</i><sup>2</sup> = 0.876), presenting potential in the rapid and sensitive detection of UA in clinic.

Journal of Materials Chemistry BVol. 13(24)
Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China, Shanghai Municipal Education Commission, Shanghai Jiao Tong University, Sichuan Province Science and Technology Support Program, National Key Research and Development Program of China, Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning
Affordable and clean energy
Openalex Percentile: Top 18%
Advanced Nanomaterials in Catalysis
1.55
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