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A target triggered proximity combination-based fluorescence sensing strategy for adenosine detection
Xiaowen Xu1, Haiping Wei1, Wei Jiang1
1Key Laboratory for Colloid and Interface Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shandong University, 250100 Jinan, P.R. China. wjiang@sdu.edu.cn.
The Analyst
|May 25, 2017
Summary
This study presents a novel fluorescence sensing strategy for highly sensitive and specific adenosine detection. The method utilizes a proximity-based approach with DNA amplification for accurate health and disease evaluation.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Molecular Diagnostics
Background:
- Adenosine is a critical physiological regulator with abnormal levels linked to various diseases.
- Sensitive and specific detection of adenosine is essential for health monitoring and disease diagnosis.
Purpose of the Study:
- To develop a target-triggered proximity combination-based fluorescence sensing strategy for adenosine detection.
- To design a difunctional probe for enhanced sensitivity and specificity in adenosine sensing.
Main Methods:
- A sensing strategy integrating split aptamers, strand displacement amplification (SDA), and rolling circle amplification (RCA).
- Utilized a fragment-elongated polymerase/nicking template and Thioflavin T for signal amplification.
- Designed a difunctional probe for adenosine recognition and signal generation.
Main Results:
- Achieved a linear correlation for adenosine detection from 5.0 × 10⁻⁷ M to 2.0 × 10⁻⁵ M (R = 0.999).
- Demonstrated a low detection limit of 8.4 × 10⁻⁸ M with high selectivity against adenosine analogues.
- Showed successful application in human serum samples with recoveries ranging from 91% to 94%.
Conclusions:
- The developed fluorescence sensing strategy offers sensitive and specific detection of adenosine.
- The method shows promise for applications in biochemical research, clinical diagnosis, and disease treatment.
- The proximity-based approach with DNA amplification provides a robust platform for biomarker detection.

