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水稻品种的水化行为及动力学研究:优化工艺变量以改善物理、碾磨及质地特性

Hydration behavior and kinetic studies of paddy cultivars: optimization of process variables for improved physical, milling and textural properties.

作者信息

Sharma Sakshi, Semwal Anil Dutt, Govind Raj Thima, Wadikar Dadasaheb

机构信息

Defence Food Research Laboratory, DRDO, Siddhartha Nagar, Mysore, 570 011 India.

出版信息

J Food Sci Technol. 2024 Sep;61(9):1662-1674. doi: 10.1007/s13197-024-05925-1. Epub 2024 Feb 6.

Abstract

UNLABELLED

The optimization of hydration temperature and duration were determined in six and non- paddy cultivars varying in grain size, shape, and amylose content based on kinetic parameters and effect of hydration temperature on physical, milling, textural and color attributes. Based on higher R, lower Chi square and RMSE values, Peleg model fitted more suitably compared to Singh and Kulshrestha model. Hydration process significantly altered geometric, gravimetric and mechanical properties as evident by regression analysis. Physical properties except length and L/B ratio positively correlated with increasing hydration temperature. Head rice yield significantly improved in the hydrated treatments and showed a linear increase with the increase in hydration temperature. Head rice yield significantly correlated with hardness of grain ( = 0.684,  ≤ 0.01). Variable physico-chemical properties of cultivars led to establishment of cultivar specific optimum hydration temperature. Based on improvement in hardness, milling efficiency, head rice yield, color and textural attributes, the optimized temperature emerged as 75 °C for long slender grained cultivars (PB1509, PB1718, PS17) and 80 °C for medium grained cultivars (PD18, KJ, AL). The results revealed that optimum hydration temperature should be cultivar specific to get better output of parboiling process.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13197-024-05925-1.

摘要

未标注

基于动力学参数以及水合温度对物理、碾磨、质地和颜色属性的影响,在六个不同粒度、形状和直链淀粉含量的水稻和非水稻品种中确定了水合温度和持续时间的优化条件。基于更高的R值、更低的卡方值和均方根误差值,与辛格和库尔什雷斯塔模型相比,佩莱格模型拟合得更合适。回归分析表明,水合过程显著改变了几何、重量和机械性能。除长度和长宽比外,物理性能与水合温度升高呈正相关。在水合处理中,整精米率显著提高,且随着水合温度的升高呈线性增加。整精米率与籽粒硬度显著相关(r = 0.684,P ≤ 0.01)。品种不同的物理化学性质导致建立了特定品种的最佳水合温度。基于硬度、碾磨效率、整精米率、颜色和质地属性的改善,长粒细长品种(PB1509、PB1718、PS17)的优化温度为75°C,中粒品种(PD18、KJ、AL)的优化温度为80°C。结果表明,最佳水合温度应因品种而异,以获得更好的蒸煮加工效果。

补充信息

在线版本包含可在10.1007/s13197-024-05925-1获取的补充材料。

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