Integrating Ai And Microbial Biodegradation For Sustainable Solutions To Plastic Pollution

Introduction/Importance of Study: Pollution by plastics is a rapidly rising problem in the world, and conventional approaches to waste disposal are not effective. Another issue is to find new ways how to address the increase in the quantities of plastic in ecosystems. Novelty Statement: This research examines the coupling of artificial intelligence with microbial biodegradation, thus offering new concepts for optimizing plastics biodegradation solutions. Material and Methods: The use of artificial intelligence was applied in determining the relative efficiency of microbial strains, and enzymes used in the degradation of plastic. AI’s applications were examined for the ability to review cases and experimental data regarding the predictability of best conditions for biodegradation and the enhancement of microbial activity. Results and Discussion: AI was very effective in not only identifying and enhancing the microbial strains for degrading plastics but also in enhancing the economy. Est deposited for specific key case examined how AI tools enhance enzyme activity, strain identification, and ways to adapt to the environment; this gave more impetus to touch with scalability and prospects for industrial use. Conclusion: The application of AI in microbial biodegradation shifts the current management techniques from volumetric, energy, and resource–consuming present options to ecological and efficient models with huge potential to reduce the environmental degradation of plastics.