A Modular Fluorescence Biosensing Strategy Based on Target-Responsive Hairpin Adapters and Dual Catalytic Hairpin Assembly
Accurate detection of tumor-associated biomarkers from different molecular classes is important for early diagnosis and disease monitoring. However, the development of a single sensing strategy that can be adapted to nucleic acids, proteins, and small molecules remains challenging because of their distinct recognition mechanisms and physicochemical properties. In this work, we developed a modular biosensing strategy based on a hairpin adapter-initiated dual catalytic hairpin assembly (dCHA), for the sensitive and separate detection of representative biomarkers from three molecular classes using a unified signal transduction framework. In this design, target-specific recognition events were converted into a unified intermediate DNA trigger, thereby coupling different recognition modules with a common nucleic acid amplification module. As proof-of-concept targets, miRNA-183 (miR-183), prostate-specific antigen (PSA), and sarcosine were selected to represent nucleic acid, protein, and small-molecule biomarkers, respectively. The proposed system showed sensitive analytical performance, with limits of detection of 0.070 nM for miR-183, 0.48 ng/mL for PSA, and 0.26 nM for sarcosine, which are comparable to or within the range of gold-standard methods. In addition, recovery experiments in spiked human urine samples demonstrated the preliminary applicability of the assay in a complex biological matrix. This study provides a modular signal transduction strategy for detecting representative biomarkers of different molecular types and may offer a useful basis for further development of multiplexed and clinically validated biosensing systems.
Authors
- Xie Min (ORCID: https://orcid.org/0009-0004-4930-1477)
- Yue Zhang
- Chunhong Li (ORCID: https://orcid.org/0009-0002-6799-5244)
- Keyan Lu
Institutions
- Chengdu University (CN)
Publication Details
- Journal
- ACS Applied Bio Materials
- Published
- 2026-10-26
- DOI
- https://doi.org/10.1021/acsabm.6c01536
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chengdu University
- Natural Science Foundation of Sichuan Province