journal article·2025-10

Multilayered Sandwich Structure Sensor: Confinement‐Mediated H 2 O 2 Enrichment Strategy for Ultrasensitive and Long‐term Stable Prostate Cancer Biomarker Detection

Xin Yang, Zuyi Lu, Weixuan Wu, Jionghui Gu, Xuechun Wei, Qingshan Yang, Zhongfeng Shi, Liqin Zhou, Zhenxia Zhao, Zhongxing Zhao

Small· Volume 21· Issue 40
Publisher page

Abstract

Abstract Sarcosine (Sar), a critical potential biomarker for prostate cancer (PCa), is primarily detected via enzyme cascade reactions involving sarcosine oxidase (SOx) and peroxidase. Nevertheless, the intermediate product hydrogen peroxide (H 2 O 2 ) tends to diffuse to the bulk solution phase without entering subsequent reaction, leading to suboptimal detection sensitivity and compromised analytical performance. To tackle this challenge, a multilayered sandwich nanozyme cascade sensor (designated as Cu‐MOF/Rf@BDC) is proposed through a confinement‐mediated H 2 O 2 enrichment strategy. Its innovative architecture spatially restricts the H 2 O 2 diffusion while maintaining optimal reaction proximity, thereby enhancing the utilization efficiency of H 2 O 2 by local concentration effects. The confined microenvironment ultimately achieves the ultrasensitive Sar detection with a 3.31 nmol L −1 detection limit (1–2 orders lower than previously reported methods). In clinical urine samples tested for Sar detection, the sensor exhibits strong consistency with commercial enzyme‐linked immunosorbent assay (ELISA) kits, confirming the reliability of its analytical performance. Significantly, the sensor demonstrates a 3.6‐fold shorter preparation time and 6.0–12.0‐fold longer signal duration compared to ELISA kits. These dual advantages accelerate the detection process and improve efficiency for large‐scale clinical screening of PCa biomarkers. Furthermore, the developed sensor exhibits exceptional selectivity and repeatability, underscoring its potential practicality in complex analytical matrices.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Nanomaterials in Catalysis · Advanced biosensing and bioanalysis techniques · Nanoplatforms for cancer theranostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Chemistry and Chemical Engineering Guangxi Key Laboratory of AI‐Driven Zero‐Carbon Technologies Key Laboratory of New Low‐carbon Green Chemical Technology Education Department of Guangxi Zhuang Autonomous Region Guangxi University Nanning 530004 China

Guangxi Key Laboratory of Green Chemical Materials and Safety Technology Guangxi Engineering Research Center for New Chemical Materials and Safety Technology Beibu Gulf University Qinzhou 535001 China

Funding

National Natural Science Foundation of China

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