Intrinsic Kinetic Control Enables Scalable and Ultrasensitive Single-Molecule Sensing

Dynamic single-molecule sensing (DSMS) enables real-time monitoring of molecular interactions with exceptional sensitivity and kinetic resolution, offering significant potential for ultrasensitive biomarker detection. However, existing DSMS platforms often require probe redesign or external force modulation to tune binding kinetics, which limits system simplicity and scalability. Here, we report an intrinsically regulated DSMS platform engineered through systematic optimization of nanoparticle size and buffer ionic strength. We first established a theoretical model describing two dominant kinetic regimes─damping-dominated and entropic-confinement-dominated dynamics─and identified a critical inflection point where sensitivity and specificity are balanced. While this model provides insights into kinetic tuning, practical challenges such as nanoparticle heterogeneity and matrix complexity limit its direct application for sensor design. To address this, we empirically optimized a previously developed DSMS system using average binding dwell time and total binding events as two key performance indicators. The optimized platform, featuring 150 nm polystyrene nanoparticles under 150 mM NaCl, achieved femtomolar detection of thrombin and HIV-1 p24 antigen with limits of detection of 213.9 fM and 4.3 fM, respectively. Notably, the platform maintained excellent specificity in diluted serum through dwell-time filtering, highlighting its robustness in complex biological matrices. This work establishes a novel DSMS strategy that enables efficient single-molecule sensing without probe modification or external actuation, paving the way for scalable, high-performance biomarker detection in clinical diagnostics and point-of-care applications.

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Publication Details

Journal
ACS Sensors
Published
2025-10-09
DOI
https://doi.org/10.1021/acssensors.5c02778
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
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article

Intrinsic Kinetic Control Enables Scalable and Ultrasensitive Single-Molecule Sensing

Zhencai Xu, Zhuoyin Liu, Hui Yu, Haiyang Yu et al.
ACS Sensors
Advanced biosensing and bioanalysis techniques
article

Intrinsic Kinetic Control Enables Scalable and Ultrasensitive Single-Molecule Sensing

Zhencai Xu, Zhuoyin Liu, Hui Yu, Haiyang Yu, Jinghong Li, Qiang Zeng, Yuting Yang
article en

Abstract

Dynamic single-molecule sensing (DSMS) enables real-time monitoring of molecular interactions with exceptional sensitivity and kinetic resolution, offering significant potential for ultrasensitive biomarker detection. However, existing DSMS platforms often require probe redesign or external force modulation to tune binding kinetics, which limits system simplicity and scalability. Here, we report an intrinsically regulated DSMS platform engineered through systematic optimization of nanoparticle size and buffer ionic strength. We first established a theoretical model describing two dominant kinetic regimes─damping-dominated and entropic-confinement-dominated dynamics─and identified a critical inflection point where sensitivity and specificity are balanced. While this model provides insights into kinetic tuning, practical challenges such as nanoparticle heterogeneity and matrix complexity limit its direct application for sensor design. To address this, we empirically optimized a previously developed DSMS system using average binding dwell time and total binding events as two key performance indicators. The optimized platform, featuring 150 nm polystyrene nanoparticles under 150 mM NaCl, achieved femtomolar detection of thrombin and HIV-1 p24 antigen with limits of detection of 213.9 fM and 4.3 fM, respectively. Notably, the platform maintained excellent specificity in diluted serum through dwell-time filtering, highlighting its robustness in complex biological matrices. This work establishes a novel DSMS strategy that enables efficient single-molecule sensing without probe modification or external actuation, paving the way for scalable, high-performance biomarker detection in clinical diagnostics and point-of-care applications.

ACS SensorsVol. 10(10)
Qingdao University (CN), Qingdao Agricultural University (CN), Shanghai Jiao Tong University (CN), Ruijin Hospital (CN), Institute of Bioorganic Chemistry (BY), Life University (US), Tsinghua University (CN)
Openalex Percentile: Top 75%
Advanced biosensing and bioanalysis techniques
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