2025 AIChE Annual Meeting

(403f) Automated High-Throughput Biodegradation Testing Device

Authors

Sejal Gupta, Start up (tech)
Kristala L. J. Prather, Massachusetts Institute of Technology
Bradley Olsen, Massachusetts Institute of Technology
Biodegradable polymers present a promising strategy for mitigating the accumulation of plastic waste in the environment. However, the advancement of novel biodegradable plastics and the identification of effective polymer-degrading microbial consortia are hindered by long testing times and a lack of standardization among tests. This work presents a high-throughput automated device capable of screening 490 samples in weeks, significantly accelerating biodegradation testing compared to conventional methods that require months to over a year. Using principles of clear-zone assays, polymer-infused media in cuvettes are inoculated with microbes, producing vertical clear zones from depolymerase diffusion. This method for measuring polymer fragmentation is both fast and well-standardized and, by utilizing co-cultures of selected species, can better mimic environmental consortia. The device autonomously images 490 cuvettes, and using a machine learning model, analyzes light intensity gradients to detect degradation. Robust culturing conditions support diverse species and consortia, enabling environmental isolate screening and mixed plastic waste optimization. This device can be constructed for ~$750 and fits into most standard incubators; additionally, all custom parts can be 3D printed or laser cut from acrylic, making this device accessible and affordable. This device enables rapid, scalable, and standardized evaluation of polymer degradation across a wide range of microbial communities. By streamlining both testing and analysis, this system bridges a critical gap between environmental screening and materials development. This platform has the potential to accelerate the discovery of effective degraders and support the development of next-generation biodegradable plastics.