Fluorescence Event Counting for miRNA Detection Enabled by Surface-Confined Hybridization Chain Reaction with Integrated Optical Gain

MicroRNAs (miRNAs) are key biomarkers for disease diagnosis and biological research, yet their reliable quantification in complex samples remains challenging. Fluorescence-based detection is often limited by heterogeneous amplification efficiency and the inherent variability of intensity-based readouts, making measurements vulnerable to both biochemical and optical fluctuations. Although digital approaches such as digital PCR can mitigate some of this variability, they pose a significant barrier to access due to their reliance on specialized micro-partitioning devices and instrumentation. To address this, we developed an accessible, microscopy-based event-counting strategy. Our design integrates a microlens array for optical signal enhancement with a surface-confined hybridization chain reaction (HCR). This configuration transduces miRNA targets into spatially discrete, countable fluorescence events, enabling reproducible quantification under a unified imaging and analysis framework on a standard widefield microscope. The assay demonstrates log-log linearity from 10 fM to 1 nM and achieves detection limits of 2.36-3.34 fM for three model miRNAs (miR-21, miR-122, and miR-155). In a 50% serum matrix, it maintains accurate quantification with recoveries of 93-112%. By shifting the readout from error-prone analog intensity measurements to robust event counting, this work provides a scalable and accessible platform for miRNA profiling.

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Publication Details

Journal
ACS Sensors
Published
2026-08-20
DOI
https://doi.org/10.1021/acssensors.6c01199
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Fluorescence Event Counting for miRNA Detection Enabled by Surface-Confined Hybridization Chain Reaction with Integrated Optical Gain

Hu Shi, Xiangmeng Qu, Lianyu Lu, Hui Yang et al.
ACS Sensors
Advanced biosensing and bioanalysis techniques
article

Fluorescence Event Counting for miRNA Detection Enabled by Surface-Confined Hybridization Chain Reaction with Integrated Optical Gain

Hu Shi, Xiangmeng Qu, Lianyu Lu, Hui Yang, Wei Ye, Jienan Shen, Tingting Zhan, Rui Hao
article en

Abstract

MicroRNAs (miRNAs) are key biomarkers for disease diagnosis and biological research, yet their reliable quantification in complex samples remains challenging. Fluorescence-based detection is often limited by heterogeneous amplification efficiency and the inherent variability of intensity-based readouts, making measurements vulnerable to both biochemical and optical fluctuations. Although digital approaches such as digital PCR can mitigate some of this variability, they pose a significant barrier to access due to their reliance on specialized micro-partitioning devices and instrumentation. To address this, we developed an accessible, microscopy-based event-counting strategy. Our design integrates a microlens array for optical signal enhancement with a surface-confined hybridization chain reaction (HCR). This configuration transduces miRNA targets into spatially discrete, countable fluorescence events, enabling reproducible quantification under a unified imaging and analysis framework on a standard widefield microscope. The assay demonstrates log-log linearity from 10 fM to 1 nM and achieves detection limits of 2.36-3.34 fM for three model miRNAs (miR-21, miR-122, and miR-155). In a 50% serum matrix, it maintains accurate quantification with recoveries of 93-112%. By shifting the readout from error-prone analog intensity measurements to robust event counting, this work provides a scalable and accessible platform for miRNA profiling.

ACS Sensors
National Sun Yat-sen University (TW), Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), Shenzhen Institutes of Advanced Technology (CN)
Science and Technology Foundation of Shenzhen City, National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 16%
Advanced biosensing and bioanalysis techniques
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