4.8 Article

Cascading reaction of arginase and urease on a graphene-based FET for ultrasensitive, real-time detection of arginine

期刊

BIOSENSORS & BIOELECTRONICS
卷 115, 期 -, 页码 104-110

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2018.05.027

关键词

Enzymatic cascade; Biosensor; Arginase; Urease; Graphene; Field-effect transistor

资金

  1. European Union's Horizon 2020 under the Marie Curie Grant [645686]
  2. CONICET [PIP 0370]
  3. ANPCyT [PICT-2013-0905, PICT-2016-1680]
  4. Austrian Institute of Technology GmbH (AIT-CONICET Partner Group) [4947/11, 3911]
  5. Universidad Nacional de La Plata (UNLP) [PPID-X016]
  6. Austrian Federal Ministry for Transportation, Innovation and Technology [GZ BMVIT-612.166/0001-III/II/2010]
  7. FFG within the comet program
  8. government of Lower Austria
  9. government of Upper Austria
  10. CONICET
  11. NO Forschungs - und Bildungsges.m.b.H
  12. Marie Curie Actions (MSCA) [645686] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

Herein, a biosensor based on a reduced graphene oxide field effect transistor (rGO-FET) functionalized with the cascading enzymes arginase and urease was developed for the detection of L-arginine. Arginase and urease were immobilized on the rGO-FET sensing surface via electrostatic layer-by-layer assembly using polyethylenimine (PEI) as cationic building block. The signal transduction mechanism is based on the ability of the cascading enzymes to selectively perform chemical transformations and prompt local pH changes, that are sensitively detected by the rGO-FET. In the presence of L-arginine, the transistors modified with (PEI/urease(arginase)) multilayers showed a shift in the Dirac point due to the change in the local pH close to the graphene surface, produced by the catalyzed urea hydrolysis. The transistors were able to monitor L-arginine in the 10-1000 mu M linear range with a LOD of 10 mu M, displaying a fast response and a good long-term stability. The sensor showed stereospecificity and high selectivity in the presence of non-target amino acids. Taking into account the label free, real-time measurement capabilities and the easily quantifiable, electronic output signal, this biosensor offers advantages over state-of-the-art L-arginine detection methods.

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