Accelerating biopolymer innovation: A pilot dataset and model for bio-based polymer solubility prediction
University
University of Cambridge
Lead Organisation
Green Rose Chemistry
Theme
The development of novel synthetic biology tools and technologies
Funding
SPARK Award
Project partners: University of Cambridge & Green Rose Chemistry
Project focus area: The development of novel synthetic biology tools and technologies
The project aims to pilot a machine learning (ML) driven approach for predicting the solubility of bio-based polymers, materials derived from renewable biological sources that offer a critical sustainable alternative to petrochemical plastics. Solubility is critical in determining how polymers can be formulated, processed, and applied.
Current methods for assessing solubility are slow, costly, and poorly suited to the diversity of bio-based systems. This creates a major bottleneck in R&D for next-generation sustainable materials. This SPARK award will support faster screening and evaluation of novel bio-based materials, delivering a proof-of-concept tool to rapidly and accurately predict solubility of bio-based polymers.
The project will generate a targeted experimental dataset, enabling adaptation of an existing ML solubility prediction model to address the unique challenges of bio-based polymers. The academic lead will design and execute the experiments, while the SME partner will provide application context and a pathway for commercial exploitation. Outputs will include a biopolymer solubility dataset, a validated model prototype, and an initial industry engagement plan, forming the foundation for a future full-scale platform and SaaS tool. This SPARK project directly supports the SME’s commercial goal of reducing development time and costs for sustainable bio-based materials, aligning with UK priorities in engineering biology and low-carbon innovation.
For more information
For more information on this project, contact us, or view all Engineering Biology SPARK Award winners.
This project funding is part of the Engineering Biology Innovation Network, led by Innovate UK Business Connect in collaboration with Innovate UK and UKRI’s Technology Mission Fund. The network’s goal is to progress innovations, create a commercially focused community and foster new consortia to advance innovations towards commercial applications.