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基于纳米孔的糖分子检测研究进展。

Research Progress on Saccharide Molecule Detection Based on Nanopores.

机构信息

International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Changchun 130022, China.

Chongqing Key Laboratory of Multi-Scale Manufacturing Technology, Chongqing Institute of Green and Intelligent Technology, Chongqing 400714, China.

出版信息

Sensors (Basel). 2024 Aug 22;24(16):5442. doi: 10.3390/s24165442.

Abstract

Saccharides, being one of the fundamental molecules of life, play essential roles in the physiological and pathological functions of cells. However, their intricate structures pose challenges for detection. Nanopore technology, with its high sensitivity and capability for single-molecule-level analysis, has revolutionized the identification and structural analysis of saccharide molecules. This review focuses on recent advancements in nanopore technology for carbohydrate detection, presenting an array of methods that leverage the molecular complexity of saccharides. Biological nanopore techniques utilize specific protein binding or pore modifications to trigger typical resistive pulses, enabling the high-sensitivity detection of monosaccharides and oligosaccharides. In solid-state nanopore sensing, boronic acid modification and pH gating mechanisms are employed for the specific recognition and quantitative analysis of polysaccharides. The integration of artificial intelligence algorithms can further enhance the accuracy and reliability of analyses. Serving as a crucial tool in carbohydrate detection, we foresee significant potential in the application of nanopore technology for the detection of carbohydrate molecules in disease diagnosis, drug screening, and biosensing, fostering innovative progress in related research domains.

摘要

糖是生命的基本分子之一,在细胞的生理和病理功能中发挥着重要作用。然而,它们复杂的结构给检测带来了挑战。纳米孔技术具有高灵敏度和单分子水平分析的能力,彻底改变了糖分子的识别和结构分析。本综述重点介绍了纳米孔技术在碳水化合物检测方面的最新进展,提出了一系列利用糖分子分子复杂性的方法。生物纳米孔技术利用特定的蛋白质结合或孔修饰来触发典型的电阻脉冲,实现了对单糖和寡糖的高灵敏度检测。在固态纳米孔传感中,硼酸修饰和 pH 门控机制被用于多糖的特异性识别和定量分析。人工智能算法的集成可以进一步提高分析的准确性和可靠性。纳米孔技术作为碳水化合物检测的重要工具,我们预计它在疾病诊断、药物筛选和生物传感中用于检测碳水化合物分子方面具有巨大的潜力,为相关研究领域的创新进步提供了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5526/11360570/d6ae8fe868d9/sensors-24-05442-g004.jpg

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