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Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
Published on: March 9, 2017
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Innovating biomanufacturing with coculture-based engineered living materials.
Runze Pan1, Shufan Zhao1, Yujia Jiang1
1State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211800, PR China.
Trends in Biotechnology
|March 26, 2026
Summary
Engineered living materials from microbial cocultures (CCB-ELMs) enhance stability for biomanufacturing and carbon dioxide conversion. This research highlights progress, challenges, and future directions for sustainable CCB-ELMs.
Area of Science:
- Synthetic biology
- Biomaterials engineering
- Microbial consortia
Background:
- Microbial cocultures are vital for biomanufacturing and CO2 conversion but suffer from poor stability.
- Engineered living materials offer a novel approach to stabilize microbial consortia.
- Coculture-based engineered living materials (CCB-ELMs) integrate microbial communities into material frameworks.
Purpose of the Study:
- To summarize recent advancements in CCB-ELMs.
- To identify key challenges hindering CCB-ELM development and application.
- To outline future research directions for sustainable biomanufacturing using CCB-ELMs.
Main Methods:
- Literature review of CCB-ELM research.
- Analysis of stability mechanisms in engineered microbial systems.
- Discussion of applications in biomanufacturing and CO2 conversion.
Main Results:
- CCB-ELMs demonstrate improved stability and functionality compared to traditional cocultures.
- Progress has been made in designing robust CCB-ELM architectures.
- Key challenges include scale-up, long-term viability, and precise control of microbial interactions.
Conclusions:
- CCB-ELMs represent a promising platform for sustainable biomanufacturing and CO2 conversion.
- Further research is needed to overcome current limitations and realize the full potential of CCB-ELMs.
- Interdisciplinary collaboration is crucial for advancing the field of CCB-ELMs.

