scholarly journals Label-free electrochemical biosensing of small-molecule inhibition on O-GlcNAc glycosylation

2017 ◽  
Vol 95 ◽  
pp. 94-99 ◽  
Author(s):  
Yu Yang ◽  
Yuxin Gu ◽  
Bin Wan ◽  
Xiaomin Ren ◽  
Liang-Hong Guo
2007 ◽  
Vol 79 (17) ◽  
pp. 6881-6885 ◽  
Author(s):  
Kagan Kerman ◽  
Mun'de Vestergaard ◽  
Eiichi Tamiya

2019 ◽  
Author(s):  
Benjamin Z. Stanton ◽  
Binbin Lai ◽  
Gang Ren ◽  
Gangqing Hu ◽  
Kelsey N. Lamb ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Guangzhong Ma ◽  
Runli Liang ◽  
Zijian Wan ◽  
Shaopeng Wang

AbstractQuantification of molecular interactions on a surface is typically achieved via label-free techniques such as surface plasmon resonance (SPR). The sensitivity of SPR originates from the characteristic that the SPR angle is sensitive to the surface refractive index change. Analogously, in another interfacial optical phenomenon, total internal reflection, the critical angle is also refractive index dependent. Therefore, surface refractive index change can also be quantified by measuring the reflectivity near the critical angle. Based on this concept, we develop a method called critical angle reflection (CAR) imaging to quantify molecular interactions on glass surface. CAR imaging can be performed on SPR imaging setups. Through a side-by-side comparison, we show that CAR is capable of most molecular interaction measurements that SPR performs, including proteins, nucleic acids and cell-based detections. In addition, we show that CAR can detect small molecule bindings and intracellular signals beyond SPR sensing range. CAR exhibits several distinct characteristics, including tunable sensitivity and dynamic range, deeper vertical sensing range, fluorescence compatibility, broader wavelength and polarization of light selection, and glass surface chemistry. We anticipate CAR can expand SPR′s capability in small molecule detection, whole cell-based detection, simultaneous fluorescence imaging, and broader conjugation chemistry.


Micromachines ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 793
Author(s):  
Uroš Zupančič ◽  
Joshua Rainbow ◽  
Pedro Estrela ◽  
Despina Moschou

Printed circuit boards (PCBs) offer a promising platform for the development of electronics-assisted biomedical diagnostic sensors and microsystems. The long-standing industrial basis offers distinctive advantages for cost-effective, reproducible, and easily integrated sample-in-answer-out diagnostic microsystems. Nonetheless, the commercial techniques used in the fabrication of PCBs produce various contaminants potentially degrading severely their stability and repeatability in electrochemical sensing applications. Herein, we analyse for the first time such critical technological considerations, allowing the exploitation of commercial PCB platforms as reliable electrochemical sensing platforms. The presented electrochemical and physical characterisation data reveal clear evidence of both organic and inorganic sensing electrode surface contaminants, which can be removed using various pre-cleaning techniques. We demonstrate that, following such pre-treatment rules, PCB-based electrodes can be reliably fabricated for sensitive electrochemical biosensors. Herein, we demonstrate the applicability of the methodology both for labelled protein (procalcitonin) and label-free nucleic acid (E. coli-specific DNA) biomarker quantification, with observed limits of detection (LoD) of 2 pM and 110 pM, respectively. The proposed optimisation of surface pre-treatment is critical in the development of robust and sensitive PCB-based electrochemical sensors for both clinical and environmental diagnostics and monitoring applications.


ACS Omega ◽  
2020 ◽  
Vol 5 (39) ◽  
pp. 25358-25364
Author(s):  
Elisa Chiodi ◽  
Allison M. Marn ◽  
Matthew T. Geib ◽  
Fulya Ekiz Kanik ◽  
John Rejman ◽  
...  

The Analyst ◽  
2013 ◽  
Vol 138 (11) ◽  
pp. 3131 ◽  
Author(s):  
Ling Yuan ◽  
Yaqian Lan ◽  
Min Han ◽  
Jianchun Bao ◽  
Wenwen Tu ◽  
...  

2015 ◽  
Vol 1854 (8) ◽  
pp. 979-986 ◽  
Author(s):  
Roland G. Heym ◽  
Wilfried B. Hornberger ◽  
Viktor Lakics ◽  
Georg C. Terstappen

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