DESINGING OF MILLET BASED CONVENIENT BREAKFAST MIX USING LINEAR PROGRAMMING APPROACH
Alagappa Institute of Skill Development & Computer Centre,Alagappa University, Karaikudi, India.15 -16 February 2017. IT Skills Show & International Conference on Advancements In Computing Resources (SSICACR-2017)
India is a leading producer of small millet and it have health promoting effects equal or even in higher amount than fruits and vegetables and have a protective effect against degenerative diseases. One of the convenient breakfasts mix prepared from little millet and the product formulation could be done using a computer-based modelling approach to reduce the errors and biases that can occur when using a consultation process alone. Formulations were designed using linear programming (LP) model to minimise the total cost of finished product. The breakfast mix was developed using little millet rice, dried coconut and sugar with varying quantities of ingredients. Cost and nutritive value of LP formulated mix was calculated and sensory evaluation also was done. The low cost mix (Rs. 42/kg) obtained using linear programming is little millet (51.0 %), dried coconut (32.8 %) and sugar (16.2 %). The formulated mix provides 5.05-6.53 g of protein, 140 mg of calcium and 5.96-7.72 mg of iron. Sensory evaluation results revealed that all the formulated mix scored acceptability range. Linear programming is useful software tool to develop the therapeutic and supplementary foods to minimize the cost of a product.
. T K. Majumdar, KS. Premavalli, AS . Bawa. Effect of puffing on calcium and iron content of ragi varieties and their utilization. J Food Sci Tech. Vo. 42. Pp. 542-545. 2006. . ASM. Saleh, Q. Zhang, J. Chen, Q. Shen . Millet grains: Nutritional quality, processing, and potential health benefits. Comp Rev Food Sci Food safety. Vol.12. pp. 281-295. 2013. . S. Balasubramanian. Processing of millets. In: Proc National Seminar Recent advances in processing, utilization and nutritional impact of small millets, TNAU-DHAN, Madurai, India, 13th Sep, p 15-22. 2010 . A . Joshi, A. Rawat, B. Karki. Millets as religious offering for nutritional, ecological and economical security. Comp Rev Food Sci Vol.7 pp.369-372.2008. . SR. Dangeti, S. Karthikeyan, GR. Kumar, S. Desai. Proximate and phytochemical analysis of seed coat from p. sumantranse (little millet). Vol. 2 pp.134.2013. . S. Balasubramanian, KK. Singh, RT. Patil, KK. Onkar. Quality evaluation of millet-soy blended extrudates formulated through linear programming. J Food Sci Tech Vol.49 pp.450-458. 2012. . KN . Ryan, KP. Adams, SA. Vosti, MI. Ordiz, ED. Cimo, MJ. Manary. A comprehensive linear programming tool to optimize formulations of ready-to-use therapeutic foods: an application to Ethiopia. Am J Clin Nutr . pp 1-8. 2014. . http://home.ubalt.edu/ ntsbarsh/Research/LpSolvers.htm- accessed on 11.06.2015 . B .Srilakshmi. Food science. New Age International (P) limited, New Delhi, India, 2005. pp. 292-293.