首页|Ultrasensitive sandwich RNA-aptasensor based on dual-signal amplification strategy for highly sensitive neomycin detection

Ultrasensitive sandwich RNA-aptasensor based on dual-signal amplification strategy for highly sensitive neomycin detection

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This study aimed to design a highly sensitive electrochemical aptasensor based on the dual-signal amplification strategy for detecting neomycin (NEO) in milk samples. The electronic signal of multi-walled carbon nanotubes (MWCNTs) was greatly improved due to the existence of ferrocene (Fc), which had good electron transfer ability. The silica hybridized mesoporous ferroferric oxide nanoparticles (Fe3O4@SiO2) were prepared by hydrothermal and chemical activation treatments, which had a large specific pore volume and a large specific surface area, they could fix more RNA aptamers (Apts) and promote the electron transfer of nanoparticle labels. A composite sandwich was formed between the two Apts (Aptl and Apt2) and the target. Also, Apt2 was modified by gold nanoparticles (AuNPs), enhancing the electrochemical signal. Cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were used to characterize the performance of the aptasensor in detail. Under optimized conditions, the response current differences of the electrochemical aptasensor exhibited a linear relationship toward the positive logarithm of NEO concentrations ranging from 5 x 10(-3) nM to 5 x 10(2) nM and a detection limit of 0.759 nM. The electrochemical aptasensor showed specificity and selectivity. In addition, the constructed aptasensor was successfully applied to the detection of NEO in milk. These results indicated that the aptasensor had potential applications in the actual monitoring of NEO.

NeomycinAptasensorFerrocene-multiwalled carbon nanotubesSilica hybridized mesoporous ferroferric oxide nanoparticlesGold nanoparticles

Li, Falan、Gao, Xiaolin、Wang, Xiaoyang、Guo, Yemin、Sun, Xia、Yang, Qingqing、Zhang, Yanyan

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Shandong Univ Technol, Sch Agr Engn & Food Sci, 12 Zhangzhou Rd, Zibo 255049, Shandong, Peoples R China

2022

Food Control

Food Control

SCI
ISSN:0956-7135
年,卷(期):2022.131
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