scholarly journals Efficacy of a Novel Low-Glycemic-Index Medical Food on Satiety and Gut Hormone Responses in the Normal-Weight and Obese

2021 ◽  
Vol 9 (12) ◽  
pp. 641-647
Author(s):  
Rattikan Sumpao ◽  
Preeya Leelahagul ◽  
Siriporn Tuntipopipat ◽  
Thanwarin Tangsermwong ◽  
Chawanphat Chawanphat ◽  
...  
Nutrition ◽  
2017 ◽  
Vol 42 ◽  
pp. 12-19 ◽  
Author(s):  
Emilia Papakonstantinou ◽  
Nickolaos Orfanakos ◽  
Paul Farajian ◽  
Anastasia E. Kapetanakou ◽  
Ifigenia P. Makariti ◽  
...  

2014 ◽  
Vol 10 ◽  
pp. P454-P454
Author(s):  
John W. Sijben ◽  
Kalpana Bhaskaran ◽  
Fan Han Hsu ◽  
Siti Saifa Binte Hussain ◽  
Ardy van Helvoort

Author(s):  
Nataliia Sokolova

Wheat flour-based products are the most popular and desirable of all bakery goods. In the same time, they give the heights glycemic response so this type of products are banned for people with metabolic disorders as well as consumers who have a tendency to live a healthy lifestyle. In the same time the increasing consumption of sugars has resulted in several nutritional and medical problems, such as obesity, diabetes, and cardiovascular diseases. The uses of a combination of various ingredients in range (such as rye flour – 40...60, dry gluten – 5...15, oat dietary fibre – 1...6 % and lentil flour - 5...20 %) that may modify the glycemic index of baked products, enhance the nutrition and functional features have shown in the article. Water Stevia extract demonstrated no effect on the baking quality and suggested the use of it to improve palatability and nutritional properties of developed new sugar-free bakery products. It was found the optimum ratio of these ingredients as a result of a series of studies and processing of the obtained data by multicriteria optimization. Results have shown that lentil flour can be used in the amount 12.5 % for the achieving optimum ratio "low glycemic index-high taste". It is shown that due to lentil flour it is possible to reduce the glycemic index to a greater extent than rye flour, dry gluten, but in terms of the taste characteristics, these products were less attractive with an increasing amount of flour in formula. The coefficients of the regression model were given as a result, it has helped to find out the patterns of influence of selected components and their dosage on the glycemic index, energy value and sensory characteristics of the product. The article represents the results, which can be used to create recipe compositions using selected ingredients.


2021 ◽  
Vol 171 ◽  
pp. 106574
Author(s):  
Kannan Lakshminarayanan ◽  
Anuja Agarawal ◽  
Prateek Kumar Panda ◽  
Rahul Sinha ◽  
Manjari Tripathi ◽  
...  

2017 ◽  
Vol 39 (8) ◽  
pp. 687-692 ◽  
Author(s):  
Se Hee Kim ◽  
Hoon-Chul Kang ◽  
Eun Joo Lee ◽  
Joon Soo Lee ◽  
Heung Dong Kim

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