化学学报 ›› 2025, Vol. 83 ›› Issue (8): 878-886.DOI: 10.6023/A25040134 上一篇    下一篇

研究论文

构象转换策略驱动固态纳米孔实现高灵敏生物标志物的定量检测

尚建宇a,b, 王超超a,b, 高欣冉a,b, 章寅a,b,*(), 沙菁㛃a,b,*()   

  1. a 东南大学 江苏省精准医学装备设计与制造重点实验室 南京 211189
    b 东南大学 机械工程学院 南京 211189
  • 投稿日期:2025-04-27 发布日期:2025-06-17
  • 通讯作者: 章寅, 沙菁㛃
  • 基金资助:
    国家自然科学基金(52361145851); 国家自然科学基金(52075099)

Conformational Conversion Strategy-Driven Solid-State Nanopore Enables Concentration-Sensitive Quantification of Biomarkers

Jianyu Shanga,b, Chaochao Wanga,b, Xinran Gaoa,b, Yin Zhanga,b,*(), Jingjie Shaa,b,*()   

  1. a Jiangsu Key Laboratory for Design and Manufacturing of Precision Medicine Equipment, Southeast University, Nanjing 211189, China
    b School of Mechanical Engineering, Southeast University, Nanjing 211189, China
  • Received:2025-04-27 Published:2025-06-17
  • Contact: Yin Zhang, Jingjie Sha
  • Supported by:
    National Natural Science Foundation of China(52361145851); National Natural Science Foundation of China(52075099)

miRNAs的浓度检测在肺癌早期精准诊断中具有重要的应用价值, 然而, 由于miRNAs具有低丰度、短链长等特性, 使得快速、低成本且对浓度变化敏感的miRNA检测平台的开发面临实际挑战性. 本研究以肺癌特异性miRNA-21的替代物(22nt单链DNA)为研究对象, 揭示了固态纳米孔在低浓度检测中存在的捕获率非线性饱和现象. 基于此, 提出了孔口竞争理论模型, 认为生物标志物分子在孔口附近的竞争性引发的空间位阻效应是限制检测灵敏度的关键因素. 为克服这一限制, 本研究采用构象转换策略, 将单链DNA (ssDNA)转化为双链DNA (dsDNA), 从而显著降低了孔口的位阻效应和穿孔能垒. 通过数值模拟, 进一步验证了电泳力、电渗力以及位阻效应对分子易位动力学的影响. 实验结果表明, 双链化策略极大提高了相同条件下的捕获率, 并使捕获率与浓度之间的响应曲线转变为线性关系. 同时, 双链化还改变了生物标志物的易位方向, 为基于固态纳米孔技术的复杂生物样本中低丰度生物标志物的超灵敏检测提供了重要的理论基础.

关键词: 生物标志物, 固态纳米孔, MicroRNA, 浓度检测, 构象转换策略, 单链DNA, 双链DNA

The quantitative detection of microRNA (miRNA) is of critical importance for the early diagnosis of cancers, particularly lung cancer, where specific miRNAs such as miRNA-21 have been identified as key biomarkers. However, the low abundance, short chain length, and high sequence homology of miRNAs present significant challenges in developing a rapid, low-cost, and concentration-sensitive detection platform. In this study, we investigate the detection of 22 nt single-stranded DNA (ssDNA), a surrogate for miRNA-21, using solid-state nanopores, and observe a saturation phenomenon in the capture rate at low concentrations, which limits the sensitivity of the detection. To elucidate this phenomenon, we propose a competition theoretical model based on Langmuir adsorption dynamics, which identifies spatial hindrance effects caused by the competitive adsorption of DNA molecules near the nanopore entrance as the primary factor limiting detection sensitivity. This hindrance effect is influenced by the physicochemical properties of DNA, the applied voltage, and the nanopore dimensions. Through numerical simulations, we further analyze the interplay of electrophoretic forces, electroosmotic flow, and electrostatic repulsion in the translocation dynamics of DNA molecules, providing a comprehensive understanding of the underlying mechanisms. To overcome these limitations, we introduce a conformational conversion strategy that transforms ssDNA into double-stranded DNA (dsDNA) through the addition of complementary strands. This strategy significantly reduces the spatial hindrance at the nanopore inlet and lowers the energy barrier for molecular translocation. Experimental results demonstrate that the conversion to dsDNA not only enhances the capture efficiency but also transforms the concentration-response relationship from nonlinear to linear, enabling more accurate quantification of low-concentration analytes. Furthermore, the conformational conversion reverses the translocation direction of the target biomarkers, improving the specificity and sensitivity of the detection process. Our findings reveal that the dsDNA-based approach achieves dual improvements in low-concentration sensitivity and voltage-dependent capture rates, providing a robust framework for the ultrasensitive detection of low-abundance biomarkers in complex biological samples. In conclusion, the conformational conversion strategy-driven solid-state nanopore platform represents a significant step forward in the rapid, low-cost, and concentration-sensitive detection of lung cancer biomarkers, addressing critical challenges in the field and offering new opportunities for early disease diagnosis and personalized medicine.

Key words: biomarkers, solid-state nanopore, microRNA, concentration quantification, conformational conversion strategy, ssDNA, dsDNA