Wang Guangfeng, Chen Ling, He Xiuping, Zhu Yanhong, Zhang Xiaojun
Anhui Key Laboratory of Chem-Biosensing, College of Chemistry and Materials Science, Center for Nanoscience and Nanotechnology, Anhui Normal University, Wuhu, 241000, P.R. China.
Analyst. 2014 Aug 21;139(16):3895-900. doi: 10.1039/c4an00499j.
In this paper, we have designed a signal amplified method for the electrochemical determination of polynucleotide kinase activity. It is based on (a) the peroxidase-like activity of magnetite microspheres (MNPs), (b) the specific recognition capabilities of titanium dioxide (TiO2) with the phosphate groups of the capture probe and (c) the DNA dendrimer structure for signal amplification. MNPs coated with TiO2 (TMNPs) were prepared and characterized by scanning electron microscopy (SEM) and Fourier transform infrared (FTIR) spectroscopy. TMNP-DNA dendrimers were formed by the hybridization of captured nucleic acids with a link probe. Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were carried out to study the electrocatalytic process. The formation of the TMNP-DNA dendrimer structures was related to the phosphorylated capture probe and further to the activity of polynucleotide kinase, which was the base of the polynucleotide kinase detection. The TMNP-DNA dendrimer based biosensor showed sensitive detection of polynucleotide kinase with a satisfying result; a low detection of 0.003 U mL(-1) and wide linear range of 0.01 to 30 U mL(-1) were achieved. Additionally, the present TMNP-DNA dendrimer based biosensor also demonstrated excellent selectivity, stability and reproducibility.
在本文中,我们设计了一种用于电化学测定多核苷酸激酶活性的信号放大方法。它基于:(a)磁铁矿微球(MNPs)的过氧化物酶样活性;(b)二氧化钛(TiO₂)对捕获探针磷酸基团的特异性识别能力;以及(c)用于信号放大的DNA树枝状聚合物结构。制备了包覆TiO₂的MNPs(TMNPs),并通过扫描电子显微镜(SEM)和傅里叶变换红外(FTIR)光谱进行了表征。通过捕获的核酸与连接探针杂交形成TMNP-DNA树枝状聚合物。采用循环伏安法(CV)和电化学阻抗谱(EIS)研究了电催化过程。TMNP-DNA树枝状聚合物结构的形成与磷酸化捕获探针有关,进而与多核苷酸激酶的活性有关,这是多核苷酸激酶检测的基础。基于TMNP-DNA树枝状聚合物的生物传感器对多核苷酸激酶表现出灵敏的检测,结果令人满意;实现了0.003 U mL⁻¹的低检测限和0.01至30 U mL⁻¹的宽线性范围。此外,目前基于TMNP-DNA树枝状聚合物的生物传感器还表现出优异的选择性、稳定性和重现性。