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Totally implantable enzymatic biofuel cell and brain stimulator operating in bird through wireless communication

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2021Publisher:Elsevier BVJournal:Biosensors and Bioelectronics, volume 171, page 112,746 (issn: 0956-5663,

Authors: Kangmoon Seo; Sang-Hyun Park; Lina Susanti; Sung June Kim; Sung Hee Jeong; Dahye Lee; Taek Dong Chung; +7 Authors

doi: 10.1016/j.bios.2020.112746

pmid: 33113388

Totally implantable enzymatic biofuel cell and brain stimulator operating in bird through wireless communication

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Abstract

Animals digest food to fuel brain neurometabolism via cellular respiration. This study demonstrates the combination of a biofuel cell (BFC) and an animal brain stimulator (ABS) implanted in a pigeon. Glucose oxidation and oxygen reduction in an enzymatic BFC supplied electrical power to the ABS. Power from the BFC reached 0.12 mW in vitro and 0.08 mW in vivo using only the natural glucose and oxygen in the pigeon's body. A power management integrated circuit is used to harvest energy from the in vivo BFC at a rate of 28.4 mJ over 10 min, which is sufficient for intermittent neurostimulation.

Related Organizations

Seoul National University
Korea (Republic of)
Duke University
United States
Advanced Institute of Convergence Technology
Korea (Republic of)
Seoul National University
Korea (Republic of)

Keywords

Bioelectric Energy Sources, Communication, Brain, Biosensing Techniques, Birds, Oxygen, Glucose, Animals, Electrodes

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	52
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%