Label-free detection of DNA molecules on the dendron based self-assembled monolayer by electrochemical impedance spectroscopy

2008 ◽  
Vol 619 (1) ◽  
pp. 37-42 ◽  
Author(s):  
Jin-Young Park ◽  
Sung Hong Kwon ◽  
Joon Won Park ◽  
Su-Moon Park
2011 ◽  
Vol 84 (1) ◽  
pp. 241-246 ◽  
Author(s):  
Xuefei Guo ◽  
Ashish Kulkarni ◽  
Amos Doepke ◽  
H. Brian Halsall ◽  
Suri Iyer ◽  
...  

2007 ◽  
Vol 79 (13) ◽  
pp. 4879-4886 ◽  
Author(s):  
Rita Maalouf ◽  
Chantal Fournier-Wirth ◽  
Joliette Coste ◽  
Hanna Chebib ◽  
Youssef Saïkali ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 617 ◽  
Author(s):  
Chuang-Ye Ge ◽  
Md. Mahbubur Rahman ◽  
Wei Zhang ◽  
Nasrin Siraj Lopa ◽  
Lei Jin ◽  
...  

This research demonstrated the development of a simple, cost-effective, and label-free immunosensor for the detection of α-synuclein (α-Syn) based on a cystamine (CYS) self-assembled monolayer (SAM) decorated fluorine-doped tin oxide (FTO) electrode. CYS-SAM was formed onto the FTO electrode by the adsorption of CYS molecules through the head sulfur groups. The free amine (–NH2) groups at the tail of the CYS-SAM enabled the immobilization of anti-α-Syn-antibody, which concurrently allowed the formation of immunocomplex by covalent bonding with α-Syn-antigen. The variation of the concentrations of the attached α-Syn at the immunosensor probe induced the alternation of the current and the charge transfer resistance (Rct) for the redox response of [Fe(CN)6]3−/4−, which displayed a linear dynamic range from 10 to 1000 ng/mL with a low detection limit (S/N = 3) of ca. 3.62 and 1.13 ng/mL in differential pulse voltammetry (DPV) and electrochemical impedance spectra (EIS) measurements, respectively. The immunosensor displayed good reproducibility, anti-interference ability, and good recoveries of α-Syn detection in diluted human serum samples. The proposed immunosensor is a promising platform to detect α-Syn for the early diagnose of Parkinson’s disease, which can be extended for the determination of other biologically important biomarkers.


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