A one-step electrochemical sensor for rapid detection of potassium ion based on structure-switching aptamer

2013 ◽  
Vol 188 ◽  
pp. 1155-1157 ◽  
Author(s):  
Zhengbo Chen ◽  
Junxia Guo ◽  
Suge Zhang ◽  
Liang Chen
2018 ◽  
Vol 54 (84) ◽  
pp. 11901-11904 ◽  
Author(s):  
Hua Yu ◽  
Wen Zhang ◽  
Sicheng Lv ◽  
Jing Han ◽  
Gang Xie ◽  
...  

We present a new type of PtNi@MIL-101 electrocatalyst and Exo III-assisted cycling amplification for one-step electrochemical detection of NF-κB p50.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Severino Jefferson Ribeiro da Silva ◽  
Keith Pardee ◽  
Udeni B. R. Balasuriya ◽  
Lindomar Pena

AbstractWe have previously developed and validated a one-step assay based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) for rapid detection of the Zika virus (ZIKV) from mosquito samples. Patient diagnosis of ZIKV is currently carried out in centralized laboratories using the reverse transcription-quantitative polymerase chain reaction (RT-qPCR), which, while the gold standard molecular method, has several drawbacks for use in remote and low-resource settings, such as high cost and the need of specialized equipment. Point-of-care (POC) diagnostic platforms have the potential to overcome these limitations, especially in low-resource countries where ZIKV is endemic. With this in mind, here we optimized and validated our RT-LAMP assay for rapid detection of ZIKV from patient samples. We found that the assay detected ZIKV from diverse sample types (serum, urine, saliva, and semen) in as little as 20 min, without RNA extraction. The RT-LAMP assay was highly specific and up to 100 times more sensitive than RT-qPCR. We then validated the assay using 100 patient serum samples collected from suspected cases of arbovirus infection in the state of Pernambuco, which was at the epicenter of the last Zika epidemic. Analysis of the results, in comparison to RT-qPCR, found that the ZIKV RT-LAMP assay provided sensitivity of 100%, specificity of 93.75%, and an overall accuracy of 95.00%. Taken together, the RT-LAMP assay provides a straightforward and inexpensive alternative for the diagnosis of ZIKV from patients and has the potential to increase diagnostic capacity in ZIKV-affected areas, particularly in low and middle-income countries.


Membranes ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 517
Author(s):  
Siyamthanda Hope Mnyipika ◽  
Tshimangadzo Saddam Munonde ◽  
Philiswa Nosizo Nomngongo

The rapid detection of trace metals is one of the most important aspect in achieving environmental monitoring and protection. Electrochemical sensors remain a key solution for rapid detection of heavy metals in environmental water matrices. This paper reports the fabrication of an electrochemical sensor obtained by the simultaneous electrodeposition of MnO2 nanoparticles and RGO nanosheets on the surface of a glassy carbon electrode. The successful electrodeposition was confirmed by the enhanced current response on the cyclic voltammograms. The XRD, HR-SEM/EDX, TEM, FTIR, and BET characterization confirmed the successful synthesis of MnO2 nanoparticles, RGO nanosheets, and MnO2@RGO nanocomposite. The electrochemical studies results revealed that MnO2@RGO@GCE nanocomposite considerably improved the current response on the detection of Zn(II), Cd(II) and Cu(II) ions in surface water. These remarkable improvements were due to the interaction between MnO2 nanomaterials and RGO nanosheets. Moreover, the modified sensor electrode portrayed high sensitivity, reproducibility, and stability on the simultaneous determination of Zn(II), Cd(II), and Cu(II) ions. The detection limits of (S/N = 3) ranged from 0.002–0.015 μg L−1 for the simultaneous detection of Zn(II), Cd(II), and Cu(II) ions. The results show that MnO2@RGO nanocomposite can be successfully used for the early detection of heavy metals with higher sensitivity in water sample analysis.


2013 ◽  
Vol 12 (3) ◽  
pp. 107-113 ◽  
Author(s):  
Jie Huang ◽  
Chun Gao ◽  
Xilai Ding ◽  
Shoufang Qu ◽  
Licheng Liu ◽  
...  

2010 ◽  
Vol 12 (1) ◽  
pp. 102-108 ◽  
Author(s):  
Duc H. Do ◽  
Stella Laus ◽  
Amy Leber ◽  
Mario J. Marcon ◽  
Jeanne A. Jordan ◽  
...  

2020 ◽  
Vol 34 (7) ◽  
pp. 8993-9001 ◽  
Author(s):  
Yun Zhao ◽  
Linan Yang ◽  
Canliang Ma ◽  
Gaoyi Han
Keyword(s):  

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