Ready-to-Use Therapeutic Food (RUTF) is an energy-dense, micronutrient-enriched paste used for the Community-based Management of Acute Malnutrition (CMAM) in under-five children of low-income countries. Alternative recipes have to reach a decrease of production costs and the use of local staple ingredients, enforcing quality and acceptability of the product. This work consisted on an alternative RUTF formula optimization, with the aim to have a set of optimized creams suitable for child feeding, based on local and cheap ingredients. A response surface D-optimal design was carried out, adopting United Nations Children's Fund (UNICEF) constraints for RUTF formula. The creams showed a time-independent pseudoplastic behavior with n and K in the range 0.38–0.45 and 35–110 Pa∙sⁿ, respectively. The Particle Size Distribution (PSD) curves, as determined by laser diffractometry, were mainly unimodal, with 90% percentiles (D₉₀) varying from 40 to 140 μm. Response variables better explained through chosen models were D₉₀ and K parameter. Thanks to formula optimization approach it has been verified that the consistency and the particle size are strongly affected by the ingredient formulation. The best formulation of model RUTF was found, through the desirability function, imposing as constraints the minimization of both D₉₀ and K index.

即食治疗性食品（RUTF）是一种能量密集，富含微量营养素的糊剂，用于低收入国家5岁以下儿童的社区急性营养不良管理（CMAM）。替代配方必须降低生产成本和使用当地主食成分，以增强产品的质量和可接受性。这项工作基于另一种RUTF配方优化方法，目的是根据当地和廉价的成分，设计出一套适合儿童喂养的优化面霜。对RUTF公式采用了联合国儿童基金会（UNICEF）约束条件，进行了响应面D优化设计。乳霜显示出与时间无关的假塑性行为，n和K在0.38–0.45和35–110 Pa∙s ⁿ范围内， 分别。通过激光衍射法测定的粒度分布（PSD）曲线主要是单峰的，90％百分位数（D ₉₀）在40至140μm之间变化。通过所选模型可以更好地解释的响应变量是D ₉₀和K参数。由于采用了配方优化方法，因此已经验证了成分配方对稠度和粒径的影响很大。通过期望函数，找到了模型RUTF的最佳表述，将D ₉₀和K指数都最小化作为约束。