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CircRNA Profiling Enables Rapid Authentication of Duck Meat Adulteration in Mutton
Zixuan Liu1, Long Sun1, Lili Yao1
1School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
This study introduces ultrastable circular RNAs (circRNAs) as novel biomarkers for detecting duck meat in mutton. This method offers robust food authentication resistant to processing, ensuring meat safety.
Area of Science:
- Food Science
- Molecular Biology
- Biotechnology
Background:
- Meat adulteration is a significant food safety concern.
- Traditional detection methods struggle with processed foods.
- Species-specific biomarkers are needed for accurate authentication.
Purpose of the Study:
- To develop a novel method for detecting duck meat adulteration in mutton.
- To utilize ultrastable circular RNAs (circRNAs) as species-specific biomarkers.
- To establish a robust food authentication framework resistant to industrial processing.
Main Methods:
- Identified duck-specific circRNAs using high-throughput sequencing and bioinformatics.
- Developed a fluorescence-based dual-recognition platform combining BSJ-targeted RT-RCA and hairpin probes (HP).
- Assessed circRNA stability under harsh processing conditions (frying, autoclaving) and storage.
Main Results:
- Achieved a detection limit of 0.1% duck meat in mutton.
- Demonstrated remarkable circRNA stability under 180 °C frying and 121 °C autoclaving.
- Validated the method with 60 commercial samples, showing 98.89% specificity and 99.26% sensitivity.
Conclusions:
- Ultrastable circRNAs are effective species-specific biomarkers for meat authentication.
- The developed RCA-HP system provides a sensitive and robust detection method.
- This approach offers a reliable framework for food authentication resistant to processing and adaptable to other meat species.
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