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Freshwater organisms potentially useful as biosensors and power-generation mediators in biohybrid robotics.
Rajewicz, Wiktoria; Romano, Donato; Varughese, Joshua Cherian; Vuuren, Godfried Jansen Van; Campo, Alexandre; Thenius, Ronald; Schmickl, Thomas.
Afiliação
  • Rajewicz W; 649 Institute of Biology, Graz, 8010, Austria. wktoria.rajewicz@uni-graz.at.
  • Romano D; University of Graz, Graz, Austria. wktoria.rajewicz@uni-graz.at.
  • Varughese JC; The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, Pontedera, Pisa, 56025, Italy.
  • Vuuren GJV; Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, Pisa, 56127, Italy.
  • Campo A; University of Graz, Graz, Austria.
  • Thenius R; University of Graz, Graz, Austria.
  • Schmickl T; Unit of Social Ecology, Universit é Libre de Bruxelles, Campus Plaine, Boulevard duTriomphe, CP 231, 1050, Bruxelles, Belgium.
Biol Cybern ; 115(6): 615-628, 2021 12.
Article em En | MEDLINE | ID: mdl-34812929
ABSTRACT
Facing the threat of rapidly worsening water quality, there is an urgent need to develop novel approaches of monitoring its global supplies and early detection of environmental fluctuations. Global warming, urban growth and other factors have threatened not only the freshwater supply but also the well-being of many species inhabiting it. Traditionally, laboratory-based studies can be both time and money consuming and so, the development of a real-time, continuous monitoring method has proven necessary. The use of autonomous, self-actualizing entities became an efficient way of monitoring the environment. The Microbial Fuel Cells (MFC) will be investigated as an alternative energy source to allow for these entities to self-actualize. This concept has been improved with the use of various lifeforms in the role of biosensors in a structure called "biohybrid" which we aim to develop further within the framework of project Robocoenosis relying on animal-robot interaction. We introduce a novel concept of a fully autonomous biohybrid agent with various lifeforms in the role of biosensors. Herein, we identify most promising organisms in the context of underwater robotics, among others Dreissena polymorpha, Anodonta cygnaea, Daphnia sp. and various algae. Special focus is placed on the "ecosystem hacking" based on their interaction with the electronic parts. This project uses Austrian lakes of various trophic levels (Millstättersee, Hallstättersee and Neusiedlersee) as case studies and as a "proof of concept".
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Robótica / Técnicas Biossensoriais / Dreissena Tipo de estudo: Prognostic_studies / Screening_studies Limite: Animals Idioma: En Revista: Biol Cybern Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Robótica / Técnicas Biossensoriais / Dreissena Tipo de estudo: Prognostic_studies / Screening_studies Limite: Animals Idioma: En Revista: Biol Cybern Ano de publicação: 2021 Tipo de documento: Article