Innovative optimization of ready to use food for treatment of acute malnutrition

Optimization of Protein Quality of Plant-Based Foods Through Digitalized Product Development

With the increasing availability of plant-based protein products that should serve as alternatives to animal-based protein products, it is necessary to develop not only environmentally friendly but also nutritious foods. Especially the protein content and quality are of concern in these products. The algorithm of NutriOpt was developed using linear programming to support the development of food products with a balanced amino acid profile while considering digestibility. The current version contains a database with 84 plant protein sources from different food groups (legumes, cereals, nuts, seeds) and with different grades of purification (flours, concentrates, isolates) from which NutriOpt can create mixtures with high protein quality while complying with constraints such as protein content, number of ingredients, and weight of the mixture. The program was tested through different case studies based on commercial plant-based drinks. It was possible to obtain formulations with a Protein Digestibility Corrected Amino Acid Score (PDCAAS) over 100 with ingredients and quantities potentially suitable for plant-based analogs. Our model can help to develop the second generation of plant-based product alternatives that can really be used as an alternative on long-term consumption. Further, there is still a great potential of expansion of the program for example to use press cakes or even to model whole menus or diets in the future.

Combining Plant Proteins to Achieve Amino Acid Profiles Adapted to Various Nutritional Objectives—An Exploratory Analysis Using Linear Programming

Although plant proteins are often considered to have less nutritional quality because of their suboptimal amino acid (AA) content, the wide variety of their sources, both conventional and emerging, suggests potential opportunities from complementarity between food sources. This study therefore aimed to explore whether, and to what extent, combinations of protein ingredients could reproduce an AA profile set as a nutritional objective, and to identify theoretical solutions and limitations. We collected compositional data on protein ingredients and raw plant foods (n = 151), and then ran several series of linear optimization to identify protein ingredient mixes that maximized the content in indispensable AA and reproduced various objective profiles: a “balanced profile,” based on AA requirements for adults; “animal profiles” corresponding to conventional animal protein compositions, and a “cardioprotective profile,” which has been associated with a lower cardiovascular risk. We assumed a very good digestibility of plant protein isolates. As expected, obtaining a balanced profile was obvious, but we also identified numerous plant protein mixtures that met demanding AA profiles. Only for particularly demanding profiles, such as mimicking a particular animal protein, did solutions require the use of protein fractions from more specific sources such as pea or canola. Optimal plant blends could mimic animal proteins such as egg white, cow milk, chicken, whey or casein with a similarity reaching 94.2, 98.8, 86.4, 92.4, and 98.0%, respectively. The limiting constraints were mainly isoleucine, lysine, and histidine target contents. These different solutions offer potential for the formulation of mixtures adapted to specific populations or the design of plant-based substitutes. Some ingredients are not commercially available but they could be developed.

Sensory evaluation and volatile compounds of an alternative ready-to-use therapeutic food for malnourished children

Ready-to-use therapeutic foods (RUTFs) are special foods used to encourage rapid weight gain in 5-year-old malnourished children, avoiding hospitalization. The factors affecting sensory characteristics and acceptability of RUTFs have been not adequately described. The aim of this work was to evaluate both the sensory properties and volatile compounds of four alternative RUTFs, varying in soy and sorghum, icing sugar, and oil content. Nine nonoral sensory attributes were evaluated by nine selected and trained assessors. The perceived intensity of five oral sensory attributes and the overall liking were assessed by 100 adult consumers. The volatile compounds were extracted and concentrated by solid phase microextraction and analyzed by gas chromatography/mass spectrometry. RUTF formulations significantly differed for graininess between fingers (size of granules) (P = 0.007), viscosity (P = 0.013), adhesiveness to the spoon (P < 0.044), and meltability (P = 0.005), but in consumers' opinion, they differed only for difficulty in swallowing, intensity of global odor, flavor, and sweetness. A positive correlation between overall liking and sweetness was found. Volatile compounds arising from lipid oxidation (hexanal and octanoic acid) were positively correlated with global odor and flavor. These attributes negatively affected the overall liking and were mainly contained in one out of the four formulations. Sensory and instrumental characterization identified key attributes for this kind of food, such as difficulty in swallowing, global odor, and sweetness, suggesting how to formulate an alternative RUTF to be used for a future clinical trial on malnourished children. PRACTICAL APPLICATION: Starting from the world's need to fight child malnutrition, the present study tried to characterize alternative ready-to-use therapeutic foods (RUTFs), special foods used to encourage rapid weight gain in 5-year-old malnourished children, from several points of view, such as acceptability, stability, technological, and overall quality. Results obtained will be an aid to setup the technological conditions and scale-up parameters for local productions of RUTFs to be tested in real trials on malnourished children. Indeed, key sensory attributes that drive consumer acceptance for this special food, such as sweetness and difficulty in swallowing, came out from the present study.

Development of a Natural Product Rich in Bioavailable Omega-3 DHA from Locally Available Ingredients for Prevention of Nutrition Related Mental Illnesses

Objectives: Poor mental health remains a serious public concern worldwide. The most vulnerable individuals are children and adolescents in developing countries. Nutritional deficiency of long-chain omega-3 fatty acids, particularly docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), have long been recognized as a major contributing factor for mental health illnesses. Provision of ready-to-use natural product rich in preformed Omega-3 DHA and EPA could address this problem. However, most commonly used products are expensive and contain less or no preformed Omega-3 DHA and EPA, making them less suitable for prevention of mental illnesses in resource-poor countries. The main objective of this study was to develop a natural product rich in preformed Omega-3 DHA and EPA from locally available ingredients.Methods: Linear programing (LP) was used to formulate a natural product rich in preformed Omega-3 DHA and other essential nutrients using locally available ingredients other than fish and dairy products. Laboratory analysis was then performed to validate the nutritional value of the LP-formulation using standard analytical methods. The relative difference between the LP tool calculated values, and the laboratory-analyzed values were calculated. Sensory testing was also done to evaluate consumer acceptance of the final product.Results: Optimal formulation contained about 220 mg of preformed Omega-3 DHA + EPA, enough to meet the RDI for children aged 2-10 years. The LP analysis further showed that the cost of the developed product is USD 0.15/100 g, which is 50% lower than that of Plumpy'nut. Laboratory analysis revealed similar results as that of LP at P = 0.05.Conclusions: These findings indicate that ready-to-use natural food rich in preformed DHA and EPA can be developed from locally available ingredients.

Innovative optimization of ready to use food for treatment of acute malnutrition

Treatment of acute malnutrition typically requires the provision of ready-to-use food (RUF). Common RUF is effective but expensive, being manufactured from costly ingredients, and shipped worldwide from few global suppliers. I developed a linear programming tool to create RUF optimized for low cost using locally grown crops while maintaining necessary nutritional goals and other constraints. My tool utilizes a database of the nutritional value, price, and water efficiency of suitable ingredients and allows adjustment of constraints, including nutrients, flavour, and crop water efficiency. It is designed to (a) address nutrient requirements conforming to current standards and practice; (b) optimize RUF formulae for low cost using a wide range of ingredients for nutritional value and acceptability improvement; (c) ensure protein quality through protein digestibility corrected amino acid score; and (d) adjust RUF formulae according to locally grown crop selection, local prices, and crop water footprint. The tool creates formulae free of expensive dairy ingredients, ensuring desired protein digestibility corrected amino acid score by automatically balancing proteins with complementary quantities of essential amino acids. Using publicly available data with an application to Nigeria, my tool created RUF formulae suitable for local production using local crops to meet all nutrient requirements at a fraction of the ingredient cost and water footprint of current formulae, demonstrating the tool's effectiveness. Optimization of RUF for low cost using locally grown crops will facilitate local production and reduce ingredient as well as transport costs, so more patients can receive lifesaving treatment.