LIU Shiwei, WANG Chengxiang, DUAN Shenglin, et al. Research on Formula Optimization and Low-GI Verification of Coarse Grain Steamed Bread Based on Fuzzy Mathematics Sensory Evaluation[J]. Science and Technology of Food Industry, 2022, 43(21): 375−380. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021110206.
Citation: LIU Shiwei, WANG Chengxiang, DUAN Shenglin, et al. Research on Formula Optimization and Low-GI Verification of Coarse Grain Steamed Bread Based on Fuzzy Mathematics Sensory Evaluation[J]. Science and Technology of Food Industry, 2022, 43(21): 375−380. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021110206.

Research on Formula Optimization and Low-GI Verification of Coarse Grain Steamed Bread Based on Fuzzy Mathematics Sensory Evaluation

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  • Received Date: November 17, 2021
  • Available Online: August 24, 2022
  • In order to develop a coarse grain steamed bread with good quality and low glycemic index (GI), taking the appearance, texture, palatability and taste of coarse grain steamed bread as evaluation indexes, the fuzzy mathematical sensory evaluation method was established to determine the best proportion of barley powder, soybean powder and chickpea powder by orthogonal test. Finally, glycemic index human body test was carried out on coarse grain steamed bread. The results showed that the best preparation conditions of coarse grain steamed bread raw materials were 69.7% high gluten wheat flour, 2% potato flour, 3% tartary buckwheat flour, 5% highland barley flour, 10% soybean flour, 8% chickpea flour, 1.5% mulberry leaf extract and 0.8% stachyose. At this time, the sensory evaluation score was 82.3 and the GI value was 50.48. Therefore, the developed product was a low-glycemic index coarse grain steamed bread with lower glycemic index value, which was more suitable for people with sugar control and chronic diseases such as diabetes.
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