Cuevas Rosa Paula O, Takhar Pawan S, Sreenivasulu Nese
International Rice Research Institute, Los Baños, Laguna, Philippines.
Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Methods Mol Biol. 2019;1892:151-167. doi: 10.1007/978-1-4939-8914-0_9.
The mechanical attributes of cooked rice grains reflected by textural characteristics capture consumers preferences. Two of these attributes such as hardness and stickiness are typically indicated in grain quality evaluation programs by the amylose content of rice. However, the association of amylose content with two other textural attributes such as cohesiveness and springiness remains unknown. Hence, texture profile analyses play a role in quantifying these mechanical parameters of texture. Rheometry on the other hand can be utilized to characterize both viscous and elastic properties of rice during cooking in a water-rice proportion closer to what consumers typically use for cooking. In this chapter, methods for texture profiling and rheometry are presented to capture inferences on cooking quality modeling. Data extracted from rice texture and viscoelastic properties that go beyond what amylose content can predict, has been deciphered through mathematical modeling, which can help predict cooking quality of new rice breeding lines to improve textural and cooking quality specifications.
由质地特征反映出的熟米粒机械属性体现了消费者的偏好。在谷物品质评估项目中,通常用大米的直链淀粉含量来表示其中两个属性,如硬度和粘性。然而,直链淀粉含量与另外两个质地属性,如内聚性和弹性之间的关联仍不为人知。因此,质地剖面分析在量化这些质地机械参数方面发挥着作用。另一方面,流变学可用于在水与米的比例更接近消费者通常煮饭比例的情况下,表征煮饭过程中大米的粘性和弹性特性。在本章中,将介绍质地剖面分析和流变学方法,以获取关于煮饭品质建模的推论。通过数学建模对从大米质地和粘弹性属性中提取的数据(这些数据超出了直链淀粉含量所能预测的范围)进行了解析,这有助于预测新水稻育种系的煮饭品质,从而改善质地和煮饭品质规格。