单壁碳纳米管传感器的制备及其生物应用进展

Xiaotong Chen , Difan Wang , Wenshuo Ding , Hengchang Zang, Lian Li
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摘要

分子识别和检测是生物分析领域的主要关注点,因为它们会受到各种因素的影响。基于单壁碳纳米管(SWCNTs)的光学生物传感器因其高灵敏度、良好的荧光稳定性和组织透明度而被应用于这一领域。单手性 SWCNT 的纯化和 SWCNT 的表面功能化是实现生物分析物实时监测和高通量筛选的有效策略。将这些技术与微流控平台和机器学习算法相结合,可进一步拓宽传感器的应用领域,提高其在复杂生物系统中的分析性能和实用性。因此,本综述首先讨论了近年来单手性 SWCNTs 的制备方法,并介绍了 SWCNTs 的共价和非共价功能化技术,包括寡核苷酸链、肽和表面活性剂修饰。随后,我们系统地评估了功能化 SWCNT 生物传感器在识别小分子(包括气相成分、神经递质和活性氧)方面的应用。这些生物传感器在检测各种小分子方面具有高灵敏度和特异性,为分析生物系统中的挥发性有机化合物、信号分子和活性氧提供了广泛的可能性,并为深入了解疾病发展的复杂机制提供了新的途径。最后,我们分析了 SWCNT 生物传感器识别各类生物分子(包括蛋白质、核酸和脂质)的能力。将这些传感器用于临床疾病诊断可提高诊断的准确性和及时性,并为改善患者的预后和生活质量开辟新途径。我们相信,SWCNT 生物传感器在未来的生物医学领域具有巨大的发展潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-walled carbon nanotubes sensors: Preparation and bio-application advances
Molecular recognition and detection are the main concerns in the field of biological analysis because they can be affected by various factors. Single-walled carbon nanotube (SWCNTs)-based optical biosensors have been applied in this field owing to their high sensitivity, good fluorescence stability, and tissue transparency. Purification of single-chiral SWCNTs and surface functionalization of SWCNTs are effective strategies for achieving real-time monitoring and high-throughput screening of biological analytes. Combining these technologies with microfluidic platforms and machine learning algorithms further broadens the application areas of sensors and enhances their analytical performance and usefulness in complex biological systems. Therefore, this review first discusses the preparation methods for single-chiral SWCNTs in recent years and introduces covalent and non-covalent functionalization techniques for SWCNTs, including oligonucleotide chains, peptides, and surfactant modifications. Subsequently, we systematically evaluate the applications of functionalized SWCNT biosensors for recognizing small molecules, including gas phase composition, neurotransmitters, and reactive oxygen species. These biosensors have been shown to have high sensitivity and specificity in the detection of a wide range of small molecules, offering a wide range of possibilities for analyzing volatile organic compounds, signaling molecules, and reactive oxygen species within biological systems, and providing new ways of gaining insights into the complex mechanisms of disease progression. Finally, we have analyzed the ability of SWCNT biosensors to recognize biomolecules in various categories, including proteins, nucleic acids, and lipids. Using these sensors for clinical disease diagnosis improves the accuracy and timeliness of diagnosis and opens up new ways to improve patients' prognosis and quality of life. We believe that SWCNT biosensors have great potential for future development in biomedicine.
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