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Intramicellar sensor assays: Improving sensing sensitivity of sensor array for thiol biomarkers
Hongyang Niu1, Haichun Li2, Yi Wang3
1Liaoning Province Key Laboratory for Green Synthesis and Preparative Chemistry of Advanced Materials, Liaoning University, Shenyang, 110036, PR China; School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, 637371, PR Singapore.
This study introduces a novel micelle-based sensor array for enhanced detection of thiol biomarkers. The innovative design significantly boosts sensitivity and accuracy for disease diagnosis.
Area of Science:
- Biomarker Detection
- Nanomaterials in Sensor Technology
- Analytical Chemistry
Background:
- Array-based analysis enables simultaneous detection of multiple disease biomarkers.
- Current platforms often use non-covalent interactions, limiting sensitivity.
- Thiol biomarkers are crucial indicators for various diseases.
Purpose of the Study:
- To enhance the sensitivity of array-based analysis for thiol biomarkers.
- To develop a micelle-based sensor array for improved disease diagnosis.
- To reduce the consumption of metal ions in sensing applications.
Main Methods:
- Incorporation of polyion complex micelles, formed from carbon dots (CDs) and anionic diblock copolymers, into sensor array design.
- Utilizing the confined environment within micelles to enhance analyte-micelle interactions.
- Support Vector Machine (SVM) analysis for data interpretation and limit of detection determination.
Main Results:
- The micelle-based array achieved 100% accuracy in identifying multiple thiols across a wide concentration range (0.5–1000 μM).
- Achieved a detection limit of approximately 0.1 μM for individual thiol systems.
- Reduced thiol biomarker detection limits by 20-fold and silver ion (Ag+) usage by 40-fold compared to non-micellar methods.
Conclusions:
- The developed polyion complex micelle-based array significantly enhances sensitivity and reduces reagent consumption for thiol biomarker detection.
- This system offers a powerful tool for both qualitative and quantitative analysis, enabling accurate diagnosis of thiol-related diseases.
- The approach provides a foundation for next-generation diagnostic tools with improved performance and efficiency.
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