Journal
AMERICAN JOURNAL OF CLINICAL NUTRITION
Volume 100, Issue 6, Pages 1551-1558Publisher
AMER SOC NUTRITION-ASN
DOI: 10.3945/ajcn.114.090670
Keywords
RUTF; formulation; linear programming; optimization; severe acute malnutrition
Categories
Funding
- Children's Investment Fund Foundation
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Background: Ready-to-use therapeutic food (RUTF) is the standard of care for children suffering from noncomplicated severe acute malnutrition (SAM). Objective: The objective was to develop a comprehensive linear programming (LP) tool to create novel RUTF formulations for Ethiopia. Design: A systematic approach that surveyed international and national crop and animal food databases was used to create a global and local candidate ingredient database. The database included information about each ingredient regarding nutrient composition, ingredient category, regional availability, and food safety, processing, and price. An LP tool was then designed to compose novel RUTF formulations. For the example case of Ethiopia, the objective was to minimize the ingredient cost of RUTF; the decision variables were ingredient weights and the extent of use of locally available ingredients, and the constraints were nutritional and product-quality related. Results: Of the new RUTF formulations found by the LP tool for Ethiopia, 32 were predicted to be feasible for creating a paste, and these were prepared in the laboratory. Palatable final formulations contained a variety of ingredients, including fish, different dairy powders, and various seeds, grains, and legumes. Nearly all of the macronutrient values calculated by the LP tool differed by <10% from results produced by laboratory analyses, but the LP tool consistently underestimated total energy. Conclusions: The LP tool can be used to develop new RUTF formulations that make more use of locally available ingredients. This tool has the potential to lead to production of a variety of low-cost RUTF formulations that meet international standards and thereby potentially allow more children to be treated for SAM.
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