The purpose of this study is to apply Unified Modeling Language (UML) to the development of commercial tube-feeding milk formulas and establish the most suitable processing method for natural formula tube feeding. The study also incorporates response surface methodology (RSM) to explore the UML workflow for formula design and optimize processing conditions. According to the formula design process, the raw material composition for each 300-kcal can consists of 5 grams of germ rice, 60 grams of potatoes, and 15 grams of corn flour. The optimal viscosity for passing through a nasogastric tube is 223 cps. The processing steps include fine grinding, sterilization, and sensory evaluation at different rotation speeds, temperatures, and durations. The optimal fine grinding conditions are 1500 rpm for 5 minutes, which allows 95% of the raw materials to pass through an 80-120 mesh sieve. Sterilization is best achieved at 121°C for 20 minutes, which minimizes nutrient degradation. In a taste test, the egg formula had the highest acceptance rate. Overall, the use of UML modules for processing workflow and data analysis enables optimal operational procedures, precise data analysis, and the fulfillment of nutritional requirements.
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