College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China.
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518060, China.
Nanoscale. 2023 Aug 17;15(32):13172-13186. doi: 10.1039/d3nr02443a.
Artificial micro/nanomotors represent a class of well-designed tools that exhibit dynamic motion and remote-control capabilities, endowing them with the capacity to perform complex tasks at the micro/nanoscale. Their utilization in nucleic acid biosensing has been paid significant attention, owing to their ability to facilitate targeted delivery of detection probes to designated sites and enhance hybridization between detection probes and target nucleic acids, thereby improving the sensitivity and specificity of biosensing. Within this comprehensive overview, we elucidate the advancement of nucleic acid biosensing through the integration of micro/nanomotors over the past decade. In particular, we provide an in-depth exploration of the diverse applications of micro/nanomotors in nucleic acid biosensing, including fluorescence recovery-based biosensing, velocity change-based biosensing, and aggregation-enhanced biosensing. Additionally, we outline the remaining challenges that impede the practical application of artificial micro/nanomotors in nucleic acid detection, and offer personal insights into prospective avenues for future development. By overcoming these obstacles, we anticipate that artificial micro/nanomotors will revolutionize conventional nucleic acid detection methodologies, providing enhanced sensitivity and reduced diagnostic timeframes, thereby facilitating more effective disease diagnosis.
人工微/纳米马达代表了一类经过精心设计的工具,它们具有动态运动和远程控制的能力,使它们能够在微/纳米尺度上执行复杂的任务。由于它们能够将检测探针靶向递送到指定的位置,并增强检测探针与目标核酸之间的杂交,从而提高生物传感的灵敏度和特异性,因此它们在核酸生物传感中的应用受到了极大的关注。在这篇全面的综述中,我们阐述了过去十年中通过整合微/纳米马达在核酸生物传感方面的进展。特别是,我们深入探讨了微/纳米马达在核酸生物传感中的多种应用,包括基于荧光恢复的生物传感、基于速度变化的生物传感和基于聚集增强的生物传感。此外,我们还概述了阻碍人工微/纳米马达在核酸检测中实际应用的剩余挑战,并对未来发展的潜在途径提出了个人见解。通过克服这些障碍,我们预计人工微/纳米马达将彻底改变传统的核酸检测方法,提高检测的灵敏度并缩短诊断时间,从而更有效地进行疾病诊断。