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Split aptamer based sensing platform for adenosine deaminase detection by fluorescence resonance energy transfer

DOI:10.1016/j.talanta.2019.01.041 期刊:Talanta 出版年份:2019 更新时间:2025-09-19 17:15:36
摘要: In this paper, a split aptamer based fluorescence resonance energy transfer (FRET) platform was constructed for the determination of adenosine deaminase (ADA) activity by using gold nanoclusters (AuNCs) and gold nanoparticles (AuNPs). A single adenosine triphosphate (ATP) aptamer was split into two fragments (referred to as P1 and P2). P1 was covalently attached to the AuNCs at the 5′ end (P1-AuNCs), and P2 was labeled with AuNPs at the 3′ end (P2-AuNPs). In the presence of ATP, ATP bound with the two fragments with high affinity to link P1-AuNCs and P2-AuNPs together, thus the fluorescence of P1-AuNCs was quenched via FRET from P1-AuNCs to P2-AuNPs. With the addition of ADA, ATP was transformed into inosine triphosphate (ITP), and then P1 and P2 were released to cause the fluorescence recovery of the system. So a split aptamer based FRET platform for ADA detection can be established via the fluorescence intensity change of the system. This platform showed a good linear relationship between the fluorescence intensity and ADA concentration in the range of 2-120 U L-1, and the limit of detection (LOD) was 0.72 U L-1. Moreover, the detection of ATP in human serum sample demonstrated the accuracy and applicability of the method for ADA detection in real sample.
作者: Mengke Wang,Junyang Chen,Dandan Su,Guannan Wang,Xingguang Su
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To construct a split aptamer based fluorescence resonance energy transfer (FRET) platform for the determination of adenosine deaminase (ADA) activity.

The split aptamer based FRET platform successfully detected ADA with high sensitivity (LOD 0.72 U L-1) and selectivity, demonstrating applicability in human serum samples. It offers a simple, label-free alternative to existing methods, with potential for clinical diagnostics.

The method may have limitations in complex biological matrices beyond serum, and the specificity was tested against a limited set of enzymes; further validation with more interferents might be needed. Optimization of conditions (e.g., reaction times, concentrations) was specific to this setup and may not generalize without adjustment.

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