Nutrient Composition and Predicted Glycemic Index of Rice Varieties from Nigeria
Amaka M. Odenigbo, Nahemiah Danbaba, Michael Ngadi
Current Journal of Applied Science and Technology · pp. 302–318 · Published 19 Oct 2013
10.9734/BJAST/2014/6203Abstract
Aims: This study aimed to evaluate the nutritional composition, rate of starch digestibility and predicted glycemic indices of selected nine commonly grown rice varieties in Nigeria. Place and Duration of Study: Samples were collected from Nigeria, analyzed at McGill University, Canada between 2012 and 2013. Methodology: The samples involved five improved varieties and four local varieties of milled, non-parboiled rice. Predicted glycemic index (pGI) was estimated by in vitro enzymatic starch digestion. Proximate nutrients and mineral compositions were determined by standardized methods. Results: The proximate, mineral composition and starch digestibility varied among samples. The predicted glycemic indices (pGI) were within the range of 66.09 to 73.20 %. Jamila had the lowest pGI and starch hydrolysis rate (66.09 % and 0.05 min-1,respectively). FARO 52 exhibited significant lowest phosphorus, potassium and magnesium (P<0.05). Yardass had significantly highest values for protein (11.59 %) and fat (1.47 %). Conclusion: The local rice varieties generally, portrayed lower rate of starch digestibility with higher nutritional value compared to improved rice varieties.
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