Nutrition optimization in space stations under microgravity: A mathematical model and solution approach

This study presents a comprehensive mathematical model to optimize astronaut nutrition under microgravity conditions, addressing critical health challenges during lengthy space missions. The proposed model integrates advanced statistical techniques, such as the Design of Experiments (DOE) and Analysis of Variance (ANOVA), to optimize dietary strategies for preventing muscle atrophy, preserving bone density, and maintaining metabolic balance. The model’s key innovation lies in its ability to accurately predict the nutritional needs of astronauts by optimizing the intake of essential nutrients, such as proteins, vitamins, and minerals, based on empirical data and National Aeronautics and Space Administration’s (NASA’s) dietary guidelines. The findings indicate significant improvements in nutritional outcomes over existing methods, as the model generates tailored dietary plans that dynamically adapt to the unique physiological changes induced by microgravity. These improvements are validated through cross-validation techniques and through sensitivity analysis, confirming the model’s reliability and applicability in space environments. This research establishes a new standard in astronaut nutrition through a systematic, data-driven approach adaptable for future space missions. It underscores the necessity of personalized nutrition strategies to enhance astronaut health and performance, contributing to mission success and sustainability. The study’s innovative methodology also paves the way for future research, exploring more refined optimization techniques and broader applications across diverse astronaut profiles.