Unlocking the Potential of the ANN Optimization in Sweet Potato Varieties Drying Processes.

ABSTRACT: This study explores the unexploited potential of Artificial Neural Network (ANN) optimization techniques in enhancing different drying methods and their influence on the characteristics of various sweet potato varieties. Focusing on the intricate interplay between drying methods and the unique characteristics of white, pink, orange, and purple sweet potatoes, the presented experimental study indicates the impact of ANN-driven optimization on food-related characteristics such as color, phenols content, biological activities (antioxidant, antimicrobial, anti-hyperglycemic, and anti-inflammatory), chemical, and mineral contents. The results unveil significant variations in drying method efficacy across different sweet potato types, underscoring the need for tailored optimization strategies. S

SUBMITTER: Sovljanski O 

PROVIDER: S-EPMC10778433 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature