BioSense Institute, University of Novi Sad, Dr Zorana Djindjica 1, 21000 Novi Sad, Serbia.
Biosensors (Basel). 2024 Jun 30;14(7):326. doi: 10.3390/bios14070326.
Mesoporous silica nanoparticles (MSNs) exhibit highly beneficial characteristics for devising efficient biosensors for different analytes. Their unique properties, such as capabilities for stable covalent binding to recognition groups (e.g., antibodies or aptamers) and sensing surfaces, open a plethora of opportunities for biosensor construction. In addition, their structured porosity offers capabilities for entrapping signaling molecules (dyes or electroactive species), which could be released efficiently in response to a desired analyte for effective optical or electrochemical detection. This work offers an overview of recent research studies (in the last five years) that contain MSNs in their optical and electrochemical sensing platforms for the detection of cancer biomarkers, classified by cancer type. In addition, this study provides an overview of cancer biomarkers, as well as electrochemical and optical detection methods in general.
介孔硅纳米粒子（MSNs）在设计用于不同分析物的高效生物传感器方面具有非常有益的特性。它们独特的性质，例如能够与识别基团（例如抗体或适体）和传感表面进行稳定的共价键合，为生物传感器的构建开辟了大量机会。此外，它们的结构化孔隙率具有捕获信号分子（染料或电化学活性物质）的能力，这些分子可以在响应所需分析物时有效地释放，从而进行有效的光学或电化学检测。本工作概述了最近五年间在光学和电化学传感平台中使用 MSNs 来检测癌症生物标志物的研究，这些研究按癌症类型进行了分类。此外，本研究还概述了癌症生物标志物以及电化学和光学检测方法。
