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添加发芽椰枣种子组分的扁面包的面团性能、品质及保质期

Dough performance, quality and shelf life of flat bread supplemented with fractions of germinated date seed.

作者信息

Hejri-Zarifi Sudiyeh, Ahmadian-Kouchaksaraei Zahra, Pourfarzad Amir, Khodaparast Mohammad Hossein Haddad

机构信息

Department of Food Science, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran.

Department of Food Science and Technology, Ferdowsi University of Mashhad, Mashhad, Iran.

出版信息

J Food Sci Technol. 2014 Dec;51(12):3776-84. doi: 10.1007/s13197-013-0929-7. Epub 2013 Jan 26.

Abstract

Germinated palm date seeds were milled into two fractions: germ and residue. Dough rheological characteristics, baking (specific volume and sensory evaluation), and textural properties (at first day and during storage for 5 days) were determined in Barbari flat bread. Germ and residue fractions were incorporated at various levels ranged in 0.5-3 g/100 g of wheat flour. Water absorption, arrival time and gelatination temperature were decreased by germ fraction but accompanied by an increasing effect on the mixing tolerance index and degree of softening in most levels. Although improvement in dough stability was monitored but specific volume of bread was not affected by both fractions. Texture analysis of bread samples during 5 days of storage indicated that both fractions of germinated date seeds were able to diminish bread staling. Avrami non-linear regression equation was chosen as useful mathematical model to properly study bread hardening kinetics. In addition, principal component analysis (PCA) allowed discriminating among dough and bread specialties. Partial least squares regression (PLSR) models were applied to determine the relationships between sensory and instrumental data.

摘要

发芽的海枣种子被研磨成两部分

胚芽和残渣。测定了Barbari扁平面包的面团流变学特性、烘焙特性(比容和感官评价)以及质地特性(第一天和储存5天期间)。胚芽和残渣部分以0.5 - 3克/100克小麦粉的不同水平添加。胚芽部分降低了吸水率、到达时间和糊化温度,但在大多数水平下对混合 tolerance 指数和软化程度有增加作用。虽然监测到面团稳定性有所改善,但面包的比容不受这两部分的影响。对面包样品储存5天期间的质地分析表明,发芽海枣种子的这两部分都能够减少面包的老化。选择阿弗拉米非线性回归方程作为合适的数学模型来正确研究面包硬化动力学。此外,主成分分析(PCA)能够区分面团和面包的特性。应用偏最小二乘回归(PLSR)模型来确定感官数据和仪器数据之间的关系。

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