An ultrasensitive and ultraselective chemiluminescence aptasensor for dopamine detection based on aptamers modified magnetic mesoporous silica @ graphite oxide polymers
An ultrasensitive and ultraselective chemiluminescence aptasensor for dopamine detection based on aptamers modified magnetic mesoporous silica @ graphite oxide polymers
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DOI:
10.1016/j.snb.2017.10.171
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发表时间:
2018-03
影响因子:
8.4
通讯作者:
Yuanling Sun;Yanna Lin;Chaofan Ding;Weiyan Sun;Yuxue Dai;Xiaodong Zhu;Hao Liu;Chuannan Luo
中科院分区:
文献类型:
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作者:
Yuanling Sun;Yanna Lin;Chaofan Ding;Weiyan Sun;Yuxue Dai;Xiaodong Zhu;Hao Liu;Chuannan Luo
In this work, an ultrasensitive and ultraselective chemiluminescence (CL) aptasensor was prepared for dopamine (DA) detection based on aptamers modified magnetic mesoporous silica @ graphite oxide polymers (Fe3O4·mSiO2·nSiO2@GO). Firstly, Fe3O4·mSiO2·nSiO2@GO and Au nanoparticles (AuNPs) were prepared and characterizated by transmission electron microscopy (TEM), scanning electron microscope (SEM), fourier transform infrared (FTIR), X-ray powder diffraction (XRD) and others. Then, dopamine aptamer (D-Apt) was immobilized on the surface of Fe3O4·mSiO2·nSiO2@GO while AuNPs was modified by ssDNA (a single stranded DNA partially complementary to D-Apt). The immobilization properties of Fe3O4·mSiO2·nSiO2@GO to D-Apt and the adsorption properties of Fe3O4·mSiO2·nSiO2@GO@D-Apt to AuNPs@ssDNA were researched sequentially. When DA existed, AuNPs@ssDNA was desorbed from the surface of Fe3O4·mSiO2·nSiO2@GO@D-Atp and catalyzed luminescence. After that, under optimized CL conditions, DA could be measured with the linear concentration range of 2.5 × 10−13to 2.0 × 10−9mol/L. The detection limit was 3.9 × 10−14mol/L (3δ) while the relative standard deviation (RSD) was 2.6%. Finally, the Fe3O4·mSiO2·nSiO2@GO@D-Apt/AuNPs@ssDNA − CL aptasensor was used for the determination of DA in practical samples and recoveries ranged from 98.0% to 102.0%. Those satisfactory results clarified the proposed CL aptasensor achieved ultraselective, ultrasensitive and reliable detection of DA and revealed potential application in monitoring and diagnosis of human neurological diseases.