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Biosensors 2018, 8(1), 9;

Regenerative, Highly-Sensitive, Non-Enzymatic Dopamine Sensor and Impact of Different Buffer Systems in Dopamine Sensing

Department of Electrical Engineering and Information Technology, Institute for Nanoelectronics, Technische Universität München, 80333 Munich, Germany
Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy
Author to whom correspondence should be addressed.
Received: 12 December 2017 / Revised: 15 January 2018 / Accepted: 17 January 2018 / Published: 24 January 2018
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Carbon nanotube field-effect transistors are used extensively in ultra-sensitive biomolecule sensing applications. Along with high sensitivity, the possibility of regeneration is highly desired in bio-sensors. An important constituent of such bio-sensing systems is the buffer used to maintain pH and provide an ionic conducting medium, among its other properties. In this work, we demonstrate highly-sensitive regenerative dopamine sensors and the impact of varying buffer composition and type on the electrolyte gated field effect sensors. The role of the buffer system is an often ignored condition in the electrical characterization of sensors. Non-enzymatic dopamine sensors are fabricated and regenerated in hydrochloric acid (HCl) solution. The sensors are finally measured against four different buffer solutions. The impact of the nature and chemical structure of buffer molecules on the dopamine sensors is shown, and the appropriate buffer systems are demonstrated. View Full-Text
Keywords: carbon nanotube; non-enzymatic; dopamine sensors; buffer carbon nanotube; non-enzymatic; dopamine sensors; buffer

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Joshi, S.; Bhatt, V.D.; Märtl, A.; Becherer, M.; Lugli, P. Regenerative, Highly-Sensitive, Non-Enzymatic Dopamine Sensor and Impact of Different Buffer Systems in Dopamine Sensing. Biosensors 2018, 8, 9.

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