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  • 标题:Nutrient Composition and Predicted GlycemicIndex of Rice Varieties from Nigeria
  • 本地全文:下载
  • 作者:Amaka M. Odenigbo ; Nahemiah Danbaba ; Michael Ngadi
  • 期刊名称:Current Journal of Applied Science and Technology
  • 印刷版ISSN:2457-1024
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:302-318
  • 语种:English
  • 出版社:Sciencedomain International
  • 摘要: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.
  • 关键词:Non-parboiled rice;nutritional composition;in vitro starch digestibility;glycemicindex
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