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ORIGINAL RESEARCH article

Front. Built Environ.

Sec. Sustainable Design and Construction

This article is part of the Research TopicShaping the Future: Innovation Dynamics in the Built EnvironmentView all articles

Advances in Biodigital Systems: Combining TPMS with Varying Porosity and Moss for Future Eco-Intelligent Environments

Provisionally accepted
  • Southern University of Science and Technology, Shenzhen, China

The final, formatted version of the article will be published soon.

Climate change has posed significant challenges to sustainably maintaining indoor comfort and stability, thus calling for alternative solutions. Biodigital systems, obtained by integrating biological and digital principles in newly designed materials, offer a promising opportunity. In nature, porosity is a fundamental strategy for optimizing material distribution, enabling efficient performance through functional differentiation. Triply Periodic Minimal Surfaces (TPMS), as a biomimetic and mathematically defined porous structure, exhibit a higher surface area-to-volume ratio compared to other porous systems. Moss's adaptable, scalable, and ecological properties make it an ideal model for biodesign. We assume that their combination has significant potential as a biodigital system for enhancing indoor environmental conditions. This study sets up an experiment as a proof of concept and methodology test for the future design of fine-tuned buffering systems that can regulate humidity in the air through a real-time mechanism based on the combination of material, structure, and biological properties. The results show that the humidity change is related to the porosity of moss-integrated TPMS systems, which achieve a bond where living materials and digitally designed systems enhance each other's properties. This biodigital system shows the potential to contribute to better indoor environments.

Keywords: BIODESIGN, Biodigital system, Indoor Humidity Regulation, moss, Porosity levels, Triply periodic minimal surfaces

Received: 19 Aug 2025; Accepted: 26 Jan 2026.

Copyright: © 2026 Migliore, Che and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Enza Migliore

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.