Biomanufacturing Value Chain - Korea Biofoundry

The value chain for synthetic biology-based biomanufacturing technologies can be divided into four stages: DBTL cycle technology development, DBTL cycle optimization, production process development, and final product development.

An illustration of the value chain for synthetic biology-based biomanufacturing technologies. The first stage is DBTL Cycle Technology Development, which encompasses Design (D), Build (B), Test (T), and Learn (L), and includes the development of enabling technologies and services for each DBTL stage, such as gene design, construction, testing, and analysis.

The second stage is DBTL Cycle Optimization, where automation and data integration are used to provide standardized workflows that improve the speed and scale of synthetic biology research.

The third stage is Production Process Development, which includes scale-up, purification and separation, and productivity evaluation. Engineered microorganisms, cell lines, and their products are developed from laboratory scale to pilot or commercial scale.

The fourth stage is Final Product Development, Mass Production & Commercialization, covering applications in agriculture, consumer goods, food and beverage, healthcare, and industrial chemicals.

Together, these stages form the value chain for synthetic biology-based biomanufacturing technologies, with iterative DBTL cycles supporting continuous research and development throughout the process.

Detailed Technologies Across the Synthetic Biology Value Chain

Detailed Technologies Across the Synthetic Biology Value Chain
Technology Stage	Detailed Technology	Description
DBTL Cycle Technology Development	Design (D)	Design of DNA, proteins, cells, and enzymes for the production of target substances
	Build (B)	Construction of DNA, proteins, cells, and enzymes through gene synthesis, cellular introduction, and genome editing
	Test (T)	Performance data acquisition and high-throughput analysis of engineered biological samples
	Learn (L)	Machine learning-based evaluation and analysis of experimental outputs to optimize production processes
DBTL Cycle Optimization	Automation	Development and standardization of optimized workflows through process automation
DBTL Cycle Optimization	Data Integration	Integration and management of laboratory and production data to improve productivity and operational efficiency
Production Process Development	Scale-up	Development of processes for commercial-scale production using demonstration plants
	Purification & Separation	Recovery and purification of metabolites from microbial cultures and production strains
	Productivity Evaluation	Analysis of production efficiency across the entire manufacturing process and techno-economic analysis