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作者

Chengjie Duan Yanheng Yao Wenting Cheng Yan Chen Jin Jiao Yang Xiang

作者单位

²School of Life Sciences, Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, PR China ¹State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, PR China

刊名

Talanta

年份

2023

页码

125351

ISSN

0039-9140

分类号

543

摘要

Aptazyme is a chimera of functional nucleic acids, which integrates recognition and amplification elements to simplify the assay process and improve sensing efficiency. However, its application may be limited by signal leakage. In this work, we innovatively integrate the AβO aptamer and an MNAzyme for highly efficient detection of AβO. The aptamer and half of the MNAzyme are positioned at one strand, and the other half of the MNAzyme is integrated with a toehold sequence. These two sequences ca...更多

Aptazyme is a chimera of functional nucleic acids, which integrates recognition and amplification elements to simplify the assay process and improve sensing efficiency. However, its application may be limited by signal leakage. In this work, we innovatively integrate the AβO aptamer and an MNAzyme for highly efficient detection of AβO. The aptamer and half of the MNAzyme are positioned at one strand, and the other half of the MNAzyme is integrated with a toehold sequence. These two sequences cannot hybridize to activate the MNAzyme until the target is added. The background signal is significantly reduced by the split format and the secondary structure of DNA probes formed in the absence of the target. The proposed aptazyme can not only achieve amplification through enzymatic catalysis but also greatly improve the efficiency of signal transduction and output. We systematically investigated the influence of different DNA probes on the detection performance, and the optimized aptazyme can detect as low as 26.5 pM targets in 1h. The stability of this method was also investigated by detection targets in real biological samples.收起

学科

【SCI学科】CHEMISTRY, ANALYTICAL 【ESI学科】CHEMISTRY

影响因子

2018年:4.916;2017年:4.244;2016年:4.162;2015年:4.035;2014年:3.545

文献类型

期刊

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