Cooked rice texture and rice flour pasting properties; impacted by rice temperature during milling

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Cooked rice texture and rice flour pasting properties; impacted by rice temperature during milling.

Rice milling plays a key factor in determining rice quality and value. Therefore accurate quality assessments are critical to the rice industry. This study was undertaken to assess the effect of exposing rice to elevated temperatures during milling, on cooked rice texture and rice flour pasting properties. Two long (Cybonnett and Francis) and one medium (Jupiter) rice (oryzae sativa L.) cultiva...

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Starch Retrogradation and Texture of Cooked Milled Rice During Storage

The effect of storing cooked Bengal and Cypress milled rice at –13, 3, 20, and 36 °C on texture and degree of starch retrogradation was investigated. Cooked rice firmness increased, while stickiness decreased, during storage at –13 and 3 °C. Starch retrogradation, measured with a differential scanning calorimeter, was observed for both cultivars during storage at –13 and 3 °C, but not at 36 °C....

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Pasting properties of calcium-fortified rice

Calcium–fortified rice is normal rice fortified with calcium and processed by consecutive steps, i.e. infusion or soaking of the rice grain in a calcium salt solution, draining and drying. Heating during infusion causes pregelatinization of rice starch resulting in a change in the pasting properties of Ca-fortified rice. Pasting properties determine the cooking quality of rice. The purpose of t...

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Prediction of Long-Grain Rice Texture from Pasting Properties1

Textural attributes of cooked rice (100 samples) were predicted using pasting properties. Two textural attributes (hardness and stickiness) were evaluated by a texture analyzer and seven pasting-property parameters as well as profile data measured by a rapid visco-analyzer (RVA) were used to evaluate predictive models of the textural attributes using Partial Least Squares Regression. The textur...

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Modeling Selected Properties of Extruded Rice Flour and Rice Starch by Neural Networks and Statistics

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ژورنال

عنوان ژورنال: Journal of Food Science and Technology

سال: 2013

ISSN: 0022-1155,0975-8402

DOI: 10.1007/s13197-013-1180-y