Sustainable Revolution: AI-Driven Enhancements for Composite Polymer Processing and Optimization in Intelligent Food Packaging

In today’s rapidly evolving world, the environment has become a critical concern, with a growing emphasis on sustainability. Sustainable composite polymers in food packaging play a significant role in reducing the environmental footprint while maintaining the quality and safety of packaged food products. The application of artificial intelligence (AI) in processing these polymers further enhances their potential and efficiency in the packaging industry. This review delves into the world of sustainable composite polymers used in food packaging and highlights the importance of AI-aided processing techniques for optimizing the performance of these eco-friendly materials. Thus, it covers various types of composites, their characterization methods, and the challenges faced in their adoption. It highlights the integration of material and structure design and the importance of interdisciplinary approaches in advancing this field. The review discusses the application of supervised, unsupervised, reinforcement, and deep learning algorithms for property prediction and understanding interactions in these composites. Overall, the review provides a roadmap for researchers, showcasing the potential of machine learning and interdisciplinary approaches in creating sustainable polymer composites for food packaging and promoting a greener world.