Combining padlock exponential rolling circle amplification with CoFe2O4 magnetic nanoparticles for microRNA detection by nanoelectrocatalysis without a substrate

2017 ◽  
Vol 962 ◽  
pp. 24-31 ◽  
Author(s):  
Nan Yu ◽  
Zhen Wang ◽  
Chaochen Wang ◽  
Jing Han ◽  
Huaiyu Bu
2017 ◽  
Author(s):  
Bo Tian ◽  
Peter Svedlindh ◽  
Mattias Strömberg ◽  
Erik Wetterskog

In this work, we demonstrate for the first time, a ferromagnetic resonance (FMR) based homogeneous and volumetric biosensor for magnetic label detection. Two different isothermal amplification methods, <i>i.e.</i>, rolling circle amplification (RCA) and loop-mediated isothermal amplification (LAMP) are adopted and combined with a standard electron paramagnetic resonance (EPR) spectrometer for FMR biosensing. For RCA-based FMR biosensor, binding of RCA products of a synthetic Vibrio cholerae target DNA sequence gives rise to the formation of aggregates of magnetic nanoparticles. Immobilization of nanoparticles within the aggregates leads to a decrease of the net anisotropy of the system and a concomitant increase of the resonance field. A limit of detection of 1 pM is obtained with an average coefficient of variation of 0.16%, which is superior to the performance of other reported RCA-based magnetic biosensors. For LAMP-based sensing, a synthetic Zika virus target oligonucleotide is amplified and detected in 20% serum samples. Immobilization of magnetic nanoparticles is induced by their co-precipitation with Mg<sub>2</sub>P<sub>2</sub>O<sub>7</sub> (a by-product of LAMP) and provides a detection sensitivity of 100 aM. The fast measurement, high sensitivity and miniaturization potential of the proposed FMR biosensing technology makes it a promising candidate for designing future point-of-care devices.<br>


2018 ◽  
Vol 10 (3) ◽  
pp. 2957-2964 ◽  
Author(s):  
Bo Tian ◽  
Zhen Qiu ◽  
Jing Ma ◽  
Marco Donolato ◽  
Mikkel Fougt Hansen ◽  
...  

2017 ◽  
Author(s):  
Bo Tian ◽  
Peter Svedlindh ◽  
Mattias Strömberg ◽  
Erik Wetterskog

In this work, we demonstrate for the first time, a ferromagnetic resonance (FMR) based homogeneous and volumetric biosensor for magnetic label detection. Two different isothermal amplification methods, <i>i.e.</i>, rolling circle amplification (RCA) and loop-mediated isothermal amplification (LAMP) are adopted and combined with a standard electron paramagnetic resonance (EPR) spectrometer for FMR biosensing. For RCA-based FMR biosensor, binding of RCA products of a synthetic Vibrio cholerae target DNA sequence gives rise to the formation of aggregates of magnetic nanoparticles. Immobilization of nanoparticles within the aggregates leads to a decrease of the net anisotropy of the system and a concomitant increase of the resonance field. A limit of detection of 1 pM is obtained with an average coefficient of variation of 0.16%, which is superior to the performance of other reported RCA-based magnetic biosensors. For LAMP-based sensing, a synthetic Zika virus target oligonucleotide is amplified and detected in 20% serum samples. Immobilization of magnetic nanoparticles is induced by their co-precipitation with Mg<sub>2</sub>P<sub>2</sub>O<sub>7</sub> (a by-product of LAMP) and provides a detection sensitivity of 100 aM. The fast measurement, high sensitivity and miniaturization potential of the proposed FMR biosensing technology makes it a promising candidate for designing future point-of-care devices.<br>


2020 ◽  
Vol 92 (19) ◽  
pp. 13588-13594
Author(s):  
Jia Ge ◽  
Yun Hu ◽  
Ruijie Deng ◽  
Zhaohui Li ◽  
Kaixiang Zhang ◽  
...  

2014 ◽  
Vol 50 (13) ◽  
pp. 1576-1578 ◽  
Author(s):  
Liang Cui ◽  
Zhi Zhu ◽  
Ninghang Lin ◽  
Huimin Zhang ◽  
Zhichao Guan ◽  
...  

A T7 exonuclease-assisted cyclic enzymatic amplification method (CEAM) was combined with rolling circle amplification (RCA) to develop a RCA–CEAM dual amplification method for ultrasensitive detection of microRNA with excellent selectivity.


2010 ◽  
Vol 38 (15) ◽  
pp. e156-e156 ◽  
Author(s):  
Yuntao Zhou ◽  
Qing Huang ◽  
Jimin Gao ◽  
Jianxin Lu ◽  
Xizhong Shen ◽  
...  

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