Li Hui-Jun, Huang Chaofan, Wang Futao, Shen Yi, Jin Lin, Feng Qi, Chen Xiangyudi, Liao Qiaobo, Zhu Minfang, Wang Ding, Hou Xumin, He Bin
School of Materials and Chemistry, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China.
Department of Critical Care Medicine and Emergency, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
Anal Chem. 2025 Apr 1;97(12):6686-6693. doi: 10.1021/acs.analchem.4c06761. Epub 2025 Mar 20.
Acute myocardial infarction (AMI) is a leading cause of death and disability worldwide. MicroRNA-133a (miRNA-133a) serves as a valuable biomarker for AMI, offering specificity and stability for an early diagnosis. However, existing miRNA biosensors faced challenges in detecting low concentrations, ensuring accuracy, and maintaining immunity to interference. This study presents a novel 1/2D bismuth vanadium oxide (BiVO) and copper-tetraphenylporphyrin (Cu-TCPP) metal-organic framework heterojunction, constructed via a simple electrodeposition method, which enabled the development of an amplification-free photoelectrochemical/electrochemical (PEC-EC) dual-mode sensor. The S-type heterojunction formed between Cu-TCPP and BiVO significantly improved the separation efficiency of the photogenerated carriers. Furthermore, the peroxidase-like catalytic activity of Cu-TCPP facilitated signal amplification through a photonanozyme mechanism. Experimental results demonstrated that the sensor achieved high sensitivity with extremely low detection limits as low as 0.003 fM for PEC and 0.02 fM for EC, along with excellent selectivity, stability, and reproducibility. This study provides an efficient detection platform for miRNA-133a, highlighting its potential for early diagnosis and monitoring of diseases linked to miRNA biomarkers.
急性心肌梗死（AMI）是全球范围内死亡和残疾的主要原因。微小RNA-133a（miRNA-133a）作为AMI的一种有价值的生物标志物，为早期诊断提供特异性和稳定性。然而，现有的miRNA生物传感器在检测低浓度、确保准确性和保持抗干扰能力方面面临挑战。本研究提出了一种新型的1/2D钒酸铋（BiVO）和四苯基卟啉铜（Cu-TCPP）金属有机框架异质结，通过简单的电沉积方法构建，从而开发出一种无需扩增的光电化学/电化学（PEC-EC）双模式传感器。Cu-TCPP和BiVO之间形成的S型异质结显著提高了光生载流子的分离效率。此外，Cu-TCPP的过氧化物酶样催化活性通过光纳米酶机制促进信号放大。实验结果表明，该传感器具有高灵敏度，检测限极低，PEC检测低至0.003 fM，EC检测低至0.02 fM，同时具有出色的选择性、稳定性和重现性。本研究为miRNA-133a提供了一个高效的检测平台，突出了其在与miRNA生物标志物相关疾病的早期诊断和监测中的潜力。
