Data-Informed Tuning of Texture in Xanthan Gum-Based 3D-Printed Foods Using ANOVA and Machine Learning
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3D food printing enables fabrication of personalized foods with tailored structures and textures; however, reproducible control of post-print texture remains challenging because formulation-process interactions are highly coupled and nonlinear. This study inve... ...
