Liu Weilu, Yang Meichen, Zhao Jing, Zhang Yu, Li Le, Wang Junyan, Fang Zehao, Noroozifar Meissam, Kraatz Heinz-Bernhard
Department Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, M1C1A4, Ontario, Canada; School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, PR China.
School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, PR China.
Talanta. 2026 Jan 1;296:128458. doi: 10.1016/j.talanta.2025.128458. Epub 2025 Jun 13.
Sialic acid (SA), a vital biomarker, plays a key role in diagnosing and monitoring various diseases. Herein, a dual-mode sensing system integrating photoelectrochemical (PEC) and colorimetric detection approaches was developed for the sensitive and selective detection of sialic acid in serum samples. This system offers cross-validated, independent signal readouts, thereby enhancing detection accuracy and reliability. For the first time, we unveil the dual functionality of the MoS-BiVO heterojunction, which significantly boosts both PEC and peroxidase-like nanozyme activities. This synergistic effect simplifies the construction of a dual-mode sensing system by utilizing a single bifunctional indicator rather than combining two separate indicators. A dual-functional MoS-BiVO heterojunction with extensive interfacial contact was synthesized via a templating strategy using flower-like MoS to guide the growth of BiVO nanoparticles, resulting in enhanced charge separation and catalytic activity surpassing those of the individual components. To ensure selective recognition, a sialic acid-specific molecularly imprinted polymer (MIP) was further deposited on the MoS-BiVO heterojunction, serving as the recognition element of the sensing system. The selective binding of sialic acid led to a decrease in both PEC and colorimetric signals, forming the basis for dual-mode detection. After optimizing preparation and detection conditions, the sensing system demonstrated excellent analytical performance, with a broad linear concentration range from 1 × 10 M to 1 × 10 M and a low detection limit of 3.4 × 10 M. Its successful application to serum samples, with mutually validated dual-mode detection results, further confirmed the high accuracy and practical reliability of this dual-mode sensing system.
唾液酸（SA）是一种重要的生物标志物，在多种疾病的诊断和监测中发挥着关键作用。在此，我们开发了一种集成光电化学（PEC）和比色检测方法的双模式传感系统，用于灵敏且选择性地检测血清样本中的唾液酸。该系统提供交叉验证的独立信号读数，从而提高检测的准确性和可靠性。我们首次揭示了MoS-BiVO异质结的双重功能，它显著增强了PEC和类过氧化物酶纳米酶的活性。这种协同效应通过使用单一的双功能指示剂而非组合两个单独的指示剂，简化了双模式传感系统的构建。通过使用花状MoS作为模板引导BiVO纳米颗粒的生长，合成了具有广泛界面接触的双功能MoS-BiVO异质结，导致电荷分离增强且催化活性超过单个组分。为确保选择性识别，在MoS-BiVO异质结上进一步沉积了唾液酸特异性分子印迹聚合物（MIP），作为传感系统的识别元件。唾液酸的选择性结合导致PEC和比色信号均降低，形成了双模式检测的基础。在优化制备和检测条件后，传感系统表现出优异的分析性能，线性浓度范围宽，从1×10⁻⁶ M到1×10⁻² M，检测限低至3.4×10⁻⁷ M。其在血清样本中的成功应用以及相互验证的双模式检测结果，进一步证实了这种双模式传感系统的高准确性和实际可靠性。
