Highly Sensitive Hybridization Chain Reaction-Based miRNA Detection Technology Using Diffusivity Analysis of Fluorescent Probe-Modified miRNA Particles

MicroRNAs (miRNAs) are promising biomarkers for the early detection of various diseases, particularly cancer, driving active development of highly sensitive and selective detection technologies. This study aims to establish a novel miRNA detection technique that utilizes image analysis to track the Brownian motion (diffusivity) of fluorescent probe-modified miRNA particles. This method identifies the presence and concentration of miRNAs by exploiting the change in particle size upon hybridization with the target. Furthermore, the use of a probe modified with a photo-crosslinkable artificial nucleic acid (CNV-D) enables the covalent capture of the target miRNA, ensuring high selectivity in biological samples even under stringent washing conditions. By integrating Hybridization Chain Reaction (HCR), the complex size is significantly amplified, dramatically enhancing the detection sensitivity. Consequently, we successfully demonstrated the highly sensitive and specific detection of the cancer biomarker miR-21 in serum, achieving an exceptionally low limit of detection (LOD) of 1 fM. This technology holds great potential to contribute to the early diagnosis of cancer.

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Publication Details

Journal
Sensors
Published
2026-01-21
DOI
https://doi.org/10.3390/s26020713
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
22.24

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Highly Sensitive Hybridization Chain Reaction-Based miRNA Detection Technology Using Diffusivity Analysis of Fluorescent Probe-Modified miRNA Particles

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Advanced biosensing and bioanalysis techniques
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article

Highly Sensitive Hybridization Chain Reaction-Based miRNA Detection Technology Using Diffusivity Analysis of Fluorescent Probe-Modified miRNA Particles

H. -R. Chuang, T. Hasegawa, Hiroaki Sakamoto, Momoka Nakai, Maho Koda, Yui Watanabe, Chisato Sakamoto
article en
1 citations

Abstract

MicroRNAs (miRNAs) are promising biomarkers for the early detection of various diseases, particularly cancer, driving active development of highly sensitive and selective detection technologies. This study aims to establish a novel miRNA detection technique that utilizes image analysis to track the Brownian motion (diffusivity) of fluorescent probe-modified miRNA particles. This method identifies the presence and concentration of miRNAs by exploiting the change in particle size upon hybridization with the target. Furthermore, the use of a probe modified with a photo-crosslinkable artificial nucleic acid (CNV-D) enables the covalent capture of the target miRNA, ensuring high selectivity in biological samples even under stringent washing conditions. By integrating Hybridization Chain Reaction (HCR), the complex size is significantly amplified, dramatically enhancing the detection sensitivity. Consequently, we successfully demonstrated the highly sensitive and specific detection of the cancer biomarker miR-21 in serum, achieving an exceptionally low limit of detection (LOD) of 1 fM. This technology holds great potential to contribute to the early diagnosis of cancer.

SensorsVol. 26(2)
University of Fukui (JP), Fukui University of Technology (JP), Fukui National College of Technology (JP), National Cheng Kung University (TW)
National Science and Technology Council, Japan Society for the Promotion of Science
Openalex Percentile: Top 2%
Advanced biosensing and bioanalysis techniques
22.24
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