Triple-signal miRNA detection: A universal biosensor platform based on element labeling and CHA amplification...

Area of Science:

• Biochemistry
• Analytical Chemistry
• Nanotechnology

Background:

• MicroRNAs (miRNAs) are implicated in diseases like cancer and neurodegeneration.
• Current miRNA detection methods lack sensitivity, specificity, and interference resistance.
• Development of advanced detection platforms is crucial for clinical applications.

Purpose of the Study:

• To develop a universal biosensor platform for highly sensitive and reliable miRNA detection.
• To overcome limitations of existing miRNA detection technologies.
• To enable precise quantification of miRNAs for potential clinical use.

Main Methods:

• Utilized element tagging with Yttrium (Y) in upconversion nanoparticles (UCNPs).
• Employed catalytic hairpin assembly (CHA) for signal amplification and target recycling.
• Integrated inductively coupled plasma mass spectrometry (ICP-MS) and fluorescence spectroscopy for dual-mode detection.

Main Results:

• Achieved ultra-low detection limits: 0.24 fM (ICP-MS), 3.8 fM (fluorescence), and 0.12 fM (SP-ICP-MS).
• Demonstrated high sensitivity and specificity through dual-mode signal cross-validation.
• Showcased versatility by adapting the platform to various miRNA targets via DNA sequence modification.

Conclusions:

• The developed biosensor platform offers a promising solution for sensitive and reliable miRNA detection.
• The dual-mode detection and amplification strategy enhance analytical accuracy.
• This platform holds potential for advancing clinical miRNA diagnostics.