Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?

We examine the prospect for employing a bio-inspired architecture for a lunar industrial ecology based on genetic regulatory networks. The lunar industrial ecology resembles a metabolic system in that it comprises multiple chemical processes interlinked through waste recycling. Initially, we examine...

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Main Author: Alex Ellery
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Biomimetics
Subjects:
Online Access:https://www.mdpi.com/2313-7673/6/3/50
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spelling doaj-f40b4ffa9b614b1bb7e219d128b6a1972021-09-25T23:47:07ZengMDPI AGBiomimetics2313-76732021-08-016505010.3390/biomimetics6030050Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?Alex Ellery0Department of Mechanical & Aerospace Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, CanadaWe examine the prospect for employing a bio-inspired architecture for a lunar industrial ecology based on genetic regulatory networks. The lunar industrial ecology resembles a metabolic system in that it comprises multiple chemical processes interlinked through waste recycling. Initially, we examine lessons from factory organisation which have evolved into a bio-inspired concept, the reconfigurable holonic architecture. We then examine genetic regulatory networks and their application in the biological cell cycle. There are numerous subtleties that would be challenging to implement in a lunar industrial ecology but much of the essence of biological circuitry (as implemented in synthetic biology, for example) is captured by traditional electrical engineering design with emphasis on feedforward and feedback loops to implement robustness.https://www.mdpi.com/2313-7673/6/3/50genetic regulatory networksholonic architectureindustrial ecologymanufacturing architecturesin situ resource utilisation
collection DOAJ
language English
format Article
sources DOAJ
author Alex Ellery
spellingShingle Alex Ellery
Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?
Biomimetics
genetic regulatory networks
holonic architecture
industrial ecology
manufacturing architectures
in situ resource utilisation
author_facet Alex Ellery
author_sort Alex Ellery
title Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?
title_short Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?
title_full Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?
title_fullStr Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?
title_full_unstemmed Are There Biomimetic Lessons from Genetic Regulatory Networks for Developing a Lunar Industrial Ecology?
title_sort are there biomimetic lessons from genetic regulatory networks for developing a lunar industrial ecology?
publisher MDPI AG
series Biomimetics
issn 2313-7673
publishDate 2021-08-01
description We examine the prospect for employing a bio-inspired architecture for a lunar industrial ecology based on genetic regulatory networks. The lunar industrial ecology resembles a metabolic system in that it comprises multiple chemical processes interlinked through waste recycling. Initially, we examine lessons from factory organisation which have evolved into a bio-inspired concept, the reconfigurable holonic architecture. We then examine genetic regulatory networks and their application in the biological cell cycle. There are numerous subtleties that would be challenging to implement in a lunar industrial ecology but much of the essence of biological circuitry (as implemented in synthetic biology, for example) is captured by traditional electrical engineering design with emphasis on feedforward and feedback loops to implement robustness.
topic genetic regulatory networks
holonic architecture
industrial ecology
manufacturing architectures
in situ resource utilisation
url https://www.mdpi.com/2313-7673/6/3/50
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