Starch‐Based Biodegradable Film from Fruit and Vegetable Waste and Its Standardization Modules Based on Neural Networks and Response Surface Methodology

Abstract

AbstractFruits and vegetable waste‐based starch has numerous applications for use as a biodegradable film in food packaging materials. This study reviews fruit and vegetable waste‐based non‐commercial starches that can be utilized as an alternatives for commercial starches in biodegradable film growth. Circular economy, sustainable manufacturing goals, recycling waste and by‐products, and new basic concepts drive the hunt for alternative starch sources. Starches from unusual and abandoned fruits and vegetables offer stronger research potential. The characteristics of starch extracted from these sources and their use as a biodegradable film are emerging trends in the field of packaging technology. Further, millet starch, for example, is made from the waste of underused crops or other fruits and vegetables and presents a wealth of new avenues for biodegradable film study. In order to cease throwing away valuable carbohydrates, especially starch, these sources must incorporate into the concept of “circularity” and work toward more sustainable manufacturing practices. Besides, optimizing the biodegradable film composition to improve barrier and shelf life is also crucial. Thus, an additional study may apply response surface‐based hybrid optimization, neural networks, or deep learning‐oriented models to optimize biodegradable film composition and intelligent monitoring of the materials under the packing systems.