Baseline Study on Bacterial Nanocellulose Films with Starch and Glycerol for Future Machine Learning Guided Formulation Optimization Claudia Gadizza Perdani*, Hussaini Achmad Fansuri, Ika Atsari Dewi, Arie Febrianto Mulyadi
Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Malang, Indonesia
Email: cgadizza[at]ub.ac.id
Abstract
This study presents baseline mechanical properties of bacterial nanocellulose (BNC) based biodegradable films formulated with starch and glycerol, serving as the foundation for a future machine learning (ML) driven formulation optimization. The composition levels for starch and glycerol were determined based on prior undergraduate research, which explored their effects on film performance. In this baseline study, all formulation and processing parameters were fixed to capture unoptimized mechanical behavior. Tensile strength ranged from 2.35 to 4.87 MPa and elongation at break from 13.33% to 56.67%. FTIR spectra are expected to confirm cellulose functional groups, and SEM micrographs will visualize the nanofibrillar network. The findings establish the initial dataset for the next stage, where ML will be applied to optimize formulation factors including starch, glycerol, CaCl2, and citric acid for improved performance in sustainable packaging applications
