4.8 Article

Aptamer-based competitive electrochemical biosensor for brevetoxin-2

期刊

BIOSENSORS & BIOELECTRONICS
卷 69, 期 -, 页码 148-154

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2015.01.055

关键词

DNA aptamer; Electrochemical Impedance spectroscopy; Aptasensor; In vitro selection

向作者/读者索取更多资源

Brevetoxins (BTXs) are very potent marine neurotoxins that increased in geographical distribution in the past decade causing the illness clinically described as neurological shellfish poisoning (NSP). The ethical problems as well as the technical difficulties associated with the currently employed analysis methods for marine toxins are encouraging the research for suitable alternatives to be applied in a regulatory monitoring regime. Here, we report an electrochemical biosensor platform for BTX-2 detection utilising aptamer as specific receptor. Using in vitro selection, high affinity DNA aptamers to BTX-2 were successfully selected for the first time from a large pool of random sequences. The binding of BTX-2 to aptamer pools/clones was monitored using fluorescence and electrochemical impedance spectroscopy (EIS). The aptamer BT10 exhibited the highest binding affinity to BTX-2, with a dissociation constant of 42 nM. The effects of the incubation time, pH and metal ions concentrations on the aptamer-toxin binding were studied. The aptamer BT10 was used to construct a label-free competitive impedimetric biosensor for BTX-2 achieving a detection limit of 106 pg/ml. We observed a high degree of cross reactivity of the selected aptamer to the two similar congeners, BTX-2 and -3, whereas no cross reactivity to other marine toxins was obtained. Moreover, the aptasensor was applied for the detection of BTX-2 in spiked shellfish extract showing a very high recovery percentage. We believe that the proposed aptasensor will facilitate the routine detection of BTX-2 in food samples. (C) 2015 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据