流变学
淀粉
关系(数据库)
材料科学
复合材料
纹理(宇宙学)
食品科学
化学
生物系统
数学
人工智能
计算机科学
生物
数据挖掘
图像(数学)
作者
Hongyan Li,Sangeeta Prakash,Timothy Nicholson,Melissa Fitzgerald,Robert G. Gilbert
标识
DOI:10.1016/j.carbpol.2016.03.045
摘要
Increasing demands for better instrumental methods to evaluate cooked rice texture is driving innovations in rice texture research. This study characterized cooked rice texture by descriptive sensory analysis and two instrumental methods (texture profile analysis (TPA) and dynamic rheological testing) using a set of 18 varieties of rice with a wide range in amylose content (0-30%). The panellists' results indicated that hardness and stickiness were the two most discriminating attributes among 13 tested textural attributes. The consistency coefficient (K(*)) and loss tangent (tan δ) from a dynamic frequency sweep were used to compare with hardness and stickiness tested by TPA and sensory panellists, showing that using K(*) to express hardness, and tan δ to express stickiness, are both statistically and mechanistically meaningful. The instrumental method is rationalized in terms of starch structural differences between rices: a higher proportion of both amylose and long amylopectin branches with DP 70-100 causes a more elastic and less viscous texture, which is readily understood in terms of polymer dynamics in solution.
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