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Trends Biotechnol., Available online 2 December 2025 ｜https://doi.org/10.1016/j.tibtech.2025.11.002
Techno-economic assessment-guided biofoundry for microbial strain development
Yu Been Heo 1,2, Sung Cheon Ko 1,2, Jay D. Keasling 3,4,5,6, Han Min Woo 1,2,7
1Department of Food Science and Biotechnology, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
2Biofoundry Research Center, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
3Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
4Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
5Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA
6Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
7Department of MetaBioHealth, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
Correspondence: Han Min Woo
1Department of Food Science and Biotechnology, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
2Biofoundry Research Center, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
3Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
4Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, USA
5Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA
6Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
7Department of MetaBioHealth, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea
Correspondence: Han Min Woo
Abstract
A biofoundry integrates laboratory automation with Design–Build–Test–Learn (DBTL) workflows to accelerate strain development for sustainable manufacturing. Quantifying the economic efficiency of automated processes remains challenging. Here, we define the robot-assisted module (RAM) as a plug-and-play unit for constructing workflow and apply the Experiment Price Index (EPI), a standardized metric that combines time and cost per sample to evaluate and optimize synthetic biology workflows. Using EPI calculation and RAMs, we developed four workflows for strain development: guide (g)RNA cloning, genome editing, DNA assembly, and sample analysis. EPI identified workflow bottlenecks, elimination of redundancies, and assessment of techno-economic tradeoffs. We further extended the EPI framework on techno-economic assessment (TEA) by estimating return on investment (ROI) and payback periods for biofoundry operations at varying project scales. Our results demonstrate EPI for cost-effective experimental planning and scalable biofoundry deployment. Beyond strain engineering, EPI serves as a universal tool for evaluating automation efficiency across biotechnology.
논문정보
- Research article
- 2025년 12월 (BRIC 등록일 2025-12-02)
- 국내(교신)+국외 연구진
- 생명과학 > 생물공학
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