Kombucha–Chlorella–Proteinoid Biosynthetic Classifiers of Audio Signals

Author:

Mougkogiannis Panagiotis1ORCID,Nikolaidou Anna1ORCID,Adamatzky Andrew1ORCID

Affiliation:

1. Unconventional Computing Laboratory UWE Bristol UK

Abstract

ABSTRACTThis paper describes the development of a bioinspired composite material capable of audio classification applications. Hydrogel matrices produced by microorganisms combined with synthetic biology elements, allow for the development of adaptable bioelectronics that connect biology and technology in a customized way. In this study, a composite population of kombucha, chlorella, and proteinoids (thermal proteins) is utilized to respond to acoustic signals converted to electrical waveforms. The kombucha zoogleal mats, which are made and populated by over 60 species of yeasts and bacteria, offer a matrix at the micro level that is connected to the photosynthetic microalgae chlorella. Proteinoids formed through thermal condensation exhibit unique patterns of signaling kinetics. This living material has the ability to be electrically stimulated and can process signals in a way feasible for sensory applications. Using English alphabet audio inputs, a systematic analysis demonstrates the capability to differentiate audio waveforms based solely on biological composite responses. The use of spectral analysis allows for the identification of specific spike timing patterns that encode unique characteristics of individual letters. Moreover, network disturbances result in specific changes in output, so validating the ability to adjust waveform classification. The study demonstrates that kombucha–chlorella–proteinoid composites provide a durable and versatile bioelectronic platform for immediate auditory processing. The work represents progress toward the development of bioelectronic systems that can be customized based on the principles of biological sensory processing, cognition, and adaptation.

Funder

Engineering and Physical Sciences Research Council

Publisher

Wiley

Reference74 articles.

1. Artificial Perception Built on Memristive System: Visual, Auditory, and Tactile Sensations;Ji X.;Advanced Intelligent Systems,2020

2. Bioinspired Electronics for Artificial Sensory Systems;Jung Y. H.;Advanced Materials,2019

3. Differential Representation of Speech Sounds in the Human Cerebral Hemispheres;Firszt J. B.;The Anatomical Record Part A: Discoveries in Molecular, Cellular, and Evolutionary Biology,2006

4. Machine Learning Algorithms—A Review;Mahesh B.;International Journal of Science and Research,2020

5. Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics;Bermant P. C.;Scientific Reports,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3