Highly active DNAzyme-peptide hybrid structure coupled porous palladium for high-performance electrochemical aptasensing platform
Highly active DNAzyme-peptide hybrid structure coupled porous palladium for high-performance electrochemical aptasensing platform
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高活性DNA酶-肽杂化结构耦合多孔钯用于高性能电化学适体传感平台
DOI:
10.1016/j.snb.2017.12.091
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发表时间:
2018-04
期刊:
影响因子:
--
通讯作者:
Ye Baoxian
中科院分区:
文献类型:
--
作者:
Wu Yongmei;Li Gaiping;Zou Lina;Lei Sheng;Yu Qian;Ye Baoxian
Herein, we developed a high-performance electrochemical aptasensor for the detection of carcinoembryonic antigen (CEA) using highly active peptide-conjugated hemin/G-quadruplex (hGQ-peptide) and porous Pd nanoparticles (PdNPs). Of note, the hGQ-peptide showed an enhanced catalytic activity as compared to the unmodified hGQ, and thus served as efficient electrocatalyst in this biosensor. Porous PdNPs acted as supported matrixes for high immobilization of hGQ-peptide hybrids, aptamer, redox-active toluidine blue (Tb) and alcohol dehydrogenase (ADH), resulting in the formation of ADH/Tb/hGQ-peptide/aptamer/PdNPs as the proposed bioprobes. Upon the sandwich-type specific reaction between aptamer and CEA, the bioprobe was presented on the sensing interface. Highly effective signal amplification could be then achieved by the bioprobe catalyzed cascade enzymatic reaction. Compared with the original hGQ, the hGQ-peptide yielded more than 2-fold improvement in signal amplification because of the peptide-enhanced catalysis. Therefore, the designed aptasensor displayed a wide linear range from 0.0001 to 100 ng mL−1with a lower detection limit of 20 fg mL−1for CEA determination, presenting the better analytical performance as compared to the relevant prior biosensors. This work further expanded the application of hGQ DNAzyme in biosensor. With the good anti-interference ability and selectivity, the proposed electrochemical aptasensor held great promise for ultrasensitive detection of other proteins in clinical diagnosis.
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影响因子:
4.9
作者:
Yali Yuan;Y. Chai;R. Yuan;Ying Zhuo;Xianxue Gan
通讯作者:
Yali Yuan;Y. Chai;R. Yuan;Ying Zhuo;Xianxue Gan
影响因子:
12.6
作者:
Sun, Aili;Qi, Qingan;Bie, Ping
通讯作者:
Bie, Ping
影响因子:
8.4
作者:
Chen, Lili;Zhang, Zhujun;Fu, Aihua
通讯作者:
Fu, Aihua
影响因子:
62.1
作者:
Kobayashi, Hisataka;Ogawa, Mikako;Alford, Raphael;Choyke, Peter L.;Urano, Yasuteru
通讯作者:
Urano, Yasuteru
影响因子:
9.5
作者:
Wu, Xiaoyan;Chai, Yaqin;Yuan, Ruo
通讯作者:
Yuan, Ruo