Biofabrication Should Be Sustainable

Portrait photo of Miriam Filippi

While living matter can advance technology and render human activities more efficient and eco-friendly, the way in which we currently fabricate materials containing living cells is far from sustainable. Miriam Filippi calls us to rethink our biofabrication practices.

I am a researcher in the field of soft robotics working on developing bioinspired artificial muscle tissues. I believe we can make human activities more ecologically sound by harnessing the power of living cells for bio-hybrid materials. Possible applications range from biomedicine and robotics to civil engineering and environmental protection. My vision is driven by the fact that biological cells are miniaturised systems in which an incredible multitude of functions are condensed that non-living materials don't have1 - such as senses, adaptability, biosynthesis, and self-replication.

About the author

Miriam Filippi is an established researcher in the Soft Robotics Lab at ETH Zurich and conducts research in biofabrication and bio-hybrid robotics.

Fabricating structures using living cells, otherwise known as biofabrication, has long been a subject of fascination for researchers. The term emerged from biomedicine, where 3D printing of organs is widely researched for its potential in the medical treatment of severe human pathologies.

Artificial muscle tissue in the bioprinter
Growing artificial muscle tissue out of the bioprinter. (Image: Miriam Filippi, Soft Robotics Lab)

Today, we can assemble living cells from mammals to rebuild pieces of tissue in the lab to study biology, to replace parts of the human body that have been damaged and to test drugs. We can also make animal tissue that we can eat (such as in vitro meat), use cells to detect substances, clean contaminated environments and employ bacteria to close cracks in walls. We can even use cells to build microrobots that nimbly navigate complex environments or to study the motion of living beings without relying on animal experimentation. 2,3

Intriguingly, living cells are made of soft, biodegradable components and can autonomously replicate themselves. They extract energy from glucose and other eco-friendly fuels, function silently and with a high degree of energetic efficiency. Thus, borrowing cells from nature is not just a leap forward in technology but a step towards a more environmentally friendly future, as the resulting bio-hybrid systems can perform tasks more efficiently and sustainably than their purely synthetic counterparts.

Enlarged view: Presentation of advantages of ecological materials and their functionality for different areas: eco-fuels, repair, sensing-adaption, softness, motility, assembly, biodegradable-silent, effienct energy use.
Living cells are multifunctional and ecological materials that promise future technologies in various domains, including robotics. (Graphic: Miriam Filippi, Soft Robotics Lab, adapted4)

However, the way in which we produce bio-hybrid systems in the lab generally involves a lot of trial and error, which is resource-, energy- and labour-intensive. To engineer a tissue, we need to use expensive materials and technologies and to precisely control the environmental conditions that allow the cells to survive. Conventional biofabrication approaches generate a lot of waste and use a huge amount of energy. To unlock the sustainability potential of living materials, we should rethink the way we "biofabricate" by designing more ecologically intelligent productive processes.5

From trial and error to prediction

To make biofabrication sustainable, we should refine production processes to make them as effective as possible. Selecting sustainable component materials and applying high-precision, automated fabrication methods can help us limit the amount of resources consumed, waste generated and energy used.

"Shifting from a process of trial and error to computationally target-optimised approaches is the key to minimising resource and energy consumption."
Miriam Filippi

The most efficient approach to making biofabrication green is to select successful protocols before embarking on any activity in the lab. This is where computer simulation can really help. By modeling complex biosystems, we aim to predict the outcome of biofabrication processes a priori and identify a winning strategy to make artificial tissue with the desired properties in a few iterations or even at the first attempt. Machine learning will play a crucial role in handling the difficult simulation of biological complexity. The models obtained will reveal the optimal conditions for successful biofabrication.

Shifting from a process of trial and error to computationally target-optimised approaches is the key to minimising resource and energy consumption and to creating biosystems that meet pre-defined needs in an efficient and scalable manner. 5

My vision for the future

If we manage to use in silico prediction to guide the design and production of biofabricated systems, we can imagine a bio-hybrid future in which buildings can repair themselves, adaptive robots can sense and respond to a complex environment and medical implants can integrate seamlessly with the body - all created through sustainable biofabrication processes.

I believe that by harnessing the power of living materials and using advanced computational techniques, we can responsibly create bio-hybrid systems for a more sustainable and resilient world and enhance the quality of human life while reducing our environmental footprint.

We as researchers in the field of biofabrication should respect nature given that it is the very source of the unique living material we are working with.

1 Appiah C, et al. Living Materials Herald a New Era in Soft Robotics. Adv. Mater. 2019, 31, 1807747. Doi: external page 10.1002/adma.201807747

2 Filippi M, et al. Wird die Mikrofluidik funktional integrierte biohybride Roboter ermöglichen? PNAS. 2022. Doi: external page 10.1073/pnas.2200741119

3 Filippi M, et al. Microfluidic Tissue Engineering and Bio-Actuation. Adv Mat. 2022. Doi: external page 10.1002/adma. 202108427.

4 Filippi M, et al. external page Perfusable biohybrid designs for bioprinted skeletal muscle tissue , Adv Healthc Mater. 2023 Mar 13.

5 Filippi M, et al. external page Nachhaltige Biofabrikation: From Bioprinting to AI-Driven Predictive Methods, Trends in Biotech, 2024. Doi: external page 10.1016/j.tibtech.2024.07.002

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