Reactive fungal wearable

Adamatzky, Andrew; Nikolaidou, Anna; Gandia, Antoni; Chiolerio, Alessandro; Dehshibi, Mohammad Mahdi

Abstract

Smart wearables sense and process information from the user’s body and environment and report results of their analysis as electrical signals. Conventional electronic sensors and controllers are commonly, sometimes augmented by recent advances in soft electronics. Organic electronics and bioelectronics, especially with living substrates, offer a great opportunity to incorporate parallel sensing and information processing capabilities of natural systems into future and emerging wearables. Nowadays fungi are emerging as a promising candidate to produce sustainable textiles to be used as ecofriendly biowearables. To assess the sensing potential of fungal
wearables we undertook laboratory experiments on electrical response of a hemp fabric colonised by oyster fungi Pleurotus ostreatus to mechanical stretching and stimulation with attractants and repellents. We have shown that it is possible to discern a nature of stimuli from the fungi electrical responses. The results paved a way towards future design of intelligent sensing patches to be used in reactive fungal wearables.

• Journal Article Type: Article
• Acceptance Date: Nov 18, 2020
• Online Publication Date: Nov 24, 2021
• Publication Date: Jan 1, 2021
• Deposit Date: Feb 25, 2021
• Publicly Available Date: Jan 2, 2022
• Journal: Biosystems
• Print ISSN: 0303-2647
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 199
• Article Number: 104304
• DOI: https://doi.org/10.1016/j.biosystems.2020.104304
• Keywords: General Biochemistry, Genetics and Molecular Biology; Modelling and Simulation; Statistics and Probability; Applied Mathematics; General Medicine
• Public URL: https://uwe-repository.worktribe.com/output/7148170
• Related Public URLs: https://arxiv.org/abs/2009.05670
• Additional Information: This article is maintained by: Elsevier; Article Title: Reactive fungal wearable; Journal Title: Biosystems; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.biosystems.2020.104304; Content Type: article; Copyright: © 2020 Elsevier B.V. All rights reserved.