Improvement of buckwheat noodles quality via differential pressure explosion puffing (DPEP): cooking and structural quality

IF 1.6 4区 农林科学 International Journal of Food Engineering Pub Date : 2022-05-19 DOI:10.1515/ijfe-2021-0290
Shuhong Li, Haili Niu, Ying Gao, Zhu Kan, Lan Jiang, Xiu-Xiang Li, Ye Chen
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引用次数: 1

Abstract

Abstract In order to improve the poor formability and taste, a method of buckwheat noodles via differential pressure explosion puffing (DPEP) pre-gelatinization was developed. The effects of DPEP on gelatinization properties of buckwheat flour was investigated. The textural properties, sensory evaluation, cross section morphology, crystal structure, thermodynamic properties and simulated digestion in vitro of buckwheat noodles were characterized. The results indicated that DPEP treatment was beneficial for the texture properties and sensory evaluation, while the cooking loss rate and broken rate of noodles were reduced to 16.31% and 6.28%. The crystal structure of starch in noodles pretreated via DPEP form a more compact structure and enhanced the water holding capacity. DPEP reduced the digestibility in vitro of the noodles. The level of rapidly digestible starch reduced to 15.6%, slowly digestible starch and resistant starch increased to 21.6% and 62.8%, which made the buckwheat noodles have potential to improve health of diabetics.
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差压膨化荞麦面的蒸煮和结构品质研究
摘要为了改善荞麦面成型性差、口感差的问题,提出了一种采用差压爆破膨化(DPEP)预糊化的荞麦面生产方法。研究了DPEP对荞麦粉糊化性能的影响。对荞麦面条的结构特性、感官评价、截面形态、晶体结构、热力学性质和体外模拟消化进行了表征。结果表明,DPEP处理有利于面条的组织性能和感官评价,面条的蒸煮损失率和破碎率分别降低到16.31%和6.28%。DPEP降低了面条的体外消化率。快速消化淀粉含量下降到15.6%,慢消化淀粉和抗性淀粉含量分别上升到21.6%和62.8%,使荞麦面具有改善糖尿病患者健康的潜力。
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来源期刊
International Journal of Food Engineering
International Journal of Food Engineering 农林科学-食品科技
CiteScore
3.20
自引率
0.00%
发文量
52
审稿时长
3.8 months
期刊介绍: International Journal of Food Engineering is devoted to engineering disciplines related to processing foods. The areas of interest include heat, mass transfer and fluid flow in food processing; food microstructure development and characterization; application of artificial intelligence in food engineering research and in industry; food biotechnology; and mathematical modeling and software development for food processing purposes. Authors and editors come from top engineering programs around the world: the U.S., Canada, the U.K., and Western Europe, but also South America, Asia, Africa, and the Middle East.
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