Aptamer-capped Mesoporous Silica Nanoparticles for Myoglobin Detection†

doi:10.7503/cjcu20160721

Abstract

Abstract:

A novel, simple and label free method was constructed for the quantitative detection of myoglobin based on the aptamer-capped mesoporous silica nanoparticles. Rhodamine 6G, a kind of small fluorescent molecules, was blocked in the aptamer-capped mesoporous silica particles. In the presence of myoglobin, the aptamer left from the mesoporous surface and the fluorescence intensity was significantly enhanced after releasing rhodamine 6G to the solution. The result showed that the concentration of myoglobin was positively associated with the fluorescence intensity of the solution. Therefore, the quantitative detection of myoglobin was achieved by monitoring the change of fluorescence intensity. Through this strategy, the limit of detection(LOD) of myoglobin was proved to be 1.1 nmol/L with excellent selectivity. It was suggested that the method could satisfactorily meet the detection requirement of myoglobin in clinical medicine.

Key words: Aptamer, Myoglobin, Mesoporous silica nanoparticles

CLC Number:

O657

TrendMD:

GAO Lei, WANG Qing, YANG Xiaohai, WANG Kemin, DENG Peng, ZHANG Hua, LI Zhiping. Aptamer-capped Mesoporous Silica Nanoparticles for Myoglobin Detection^†[J]. Chem. J. Chinese Universities, 2017, 38(2): 187.

Figures/Tables 7

Fig.1 Schematic illustration of Myo detection based on aptamers capped mesoporous silica nanoparticles

Fig.2 TEM image(A) and XRD pattern(B) of the MSN

Fig.3 FTIR spectra(A) and zeta potentials(B) of MSN(a) and MSN-NH2(b)

Fig.4 Fluorescence spectra of detection system without(a) and with 160 nmol/L Myo(b)

Fig.5 Influences of the concentration of aptamer(A), the capping time of MSN-NH2(B) and reaction time(C)[c(Myo)=20 nmol/L]

Fig.6 Fluorescence emission spectra in the presence of Myo(A) and plot of F/F0 vs. concentrations of Myo(B) c(Myo)=0, 5, 10, 15, 20, 25, 30, 40, 60, 80, 100, 120, 160 nmol/L, respectively. Inset in (B) is the linear relationship between F/F0 and Myo concentration.

Fig.7 Selectivity of the proposed platform for Myo detection

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