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Updated: Dec 24, 2025

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
Published on: November 7, 2016
A highly specific graphene platform for sensing collagen triple helix
Xiuxia Sun1, Jun Fan, Weiran Ye
1State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metal Chemistry and Resources Utilization of Gansu Province, College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, P. R. China. xiaojx@lzu.edu.cn.
Researchers developed a novel graphene oxide (GO) biosensor for detecting collagen triple helix biomarkers. This sensitive and selective assay offers a new tool for diagnosing fibroproliferative diseases.
Area of Science:
- Biomolecular Engineering
- Biosensor Technology
- Molecular Diagnostics
Background:
- Chronic fibroproliferative diseases are prevalent, necessitating simple and efficient collagen biomarker detection methods.
- Existing biosensors often leverage DNA's double helix structure; novel approaches are needed for collagen's triple helix.
- Graphene oxide (GO) has shown promise in biosensor development.
Purpose of the Study:
- To create a highly specific graphene oxide (GO) platform for sensing the collagen triple helix.
- To develop a fluorescence-enhanced assay for quantitative detection of collagen peptides.
Main Methods:
- Designed a dye-labeled single-stranded collagen (ssCOL) peptide probe.
- Utilized GO's binding properties to quench probe fluorescence.
- Observed fluorescence retention upon hybridization of the ssCOL probe with its target collagen peptide (GPO).
Main Results:
- Demonstrated a fluorescence-enhanced assay sensitive and selective for target collagen peptides.
- Showed minimal interference from other proteins in complex biological fluids.
- Successfully applied the assay for quantitative detection.
Conclusions:
- The GO-based ssCOL platform is a promising tool for molecular diagnostics of fibroproliferative diseases.
- This approach offers a novel strategy for creating efficient assays for proteins with triple helix motifs.
- Potential applications include detecting proteins like collectins, adiponectin, and C1q.
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