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DEVELOPMENT AND EXPERIMENTAL VALIDATION OF A PREDICTIVE MODEL FOR PUFFABILITY OF GELATINIZED RICE.

机译:糊化大米实用性预测模型的开发和实验验证。

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摘要

This investigation was performed to determine the extent to which selected endogenous parameters of rice effect the puffing of rice. The objectives were (1) to measure selected physicochemical properties of a variety of rice samples, (2) to identify where possible those parameters influencing the puffing of gelatinized rice, and (3) to develop and validate regression equations for the prediction of puffing.;The physical properties of length, width, area, and volume were determined for each of the head rice samples. Hardness was determined as was amylose and protein content and reaction in dilute alkali for each sample. The samples were cooked in excess water, air dried, and puffed in hot oil. Predictive models were developed using multiple regression techniques on a randomly selected subset of 83 samples. Each model was validated using the remaining 30 samples by comparing the predicted values for load and expansion to those actually observed.;Hardness could be predicted for 67% of the holdout samples to within (+OR-)10% of the observed value using rough rice moisture content, percent head rice yield, and area-volume ratio. Expansion was accurately predicted within (+OR-)10% of the observed value for over 70% of the holdout samples using protein content, alkali spreading value, and rough rice moisture content.;Long grain samples categorically expanded to a greater degree upon puffing than did either medium or short grain samples. Three varieties of medium grain rice, Nato, Brazos, and Vista, were found to expand comparably to long grain samples. This fact, coupled with higher yields and slightly lower cost per pound of medium grain varieties when compared to long grain varieties should maintain the incentive for industrial buyers to keep buying medium grain rice.;Under laboratory conditions designed to simulate closely an industrial rice processing environment, 113 samples of several varieties and types of rice were milled. The resulting head rice was analyzed for selected physicochemical properties. The quantitative interrelationships of several of these properties were established. Empirical models were developed for predicting the hardness of milled rice and the puffing of gelatinized, dried rice.
机译:进行该研究以确定选择的水稻内源性参数影响水稻膨化的程度。目的是(1)测量各种大米样品的选定理化特性,(2)尽可能确定影响糊化大米膨化的参数,(3)开发和验证回归方程以预测膨化。 ;确定了每个糙米样品的长度,宽度,面积和体积的物理性质。测定硬度,直链淀粉和蛋白质含量以及每个样品在稀碱中的反应。将样品在过量的水中煮熟,风干,然后倒入热油中。使用多元回归技术对83个样本的随机选择子集开发了预测模型。通过将负载和扩展的预测值与实际观察到的值进行比较,使用剩余的30个样本对每个模型进行了验证;使用粗略的方法可以预测67%的保持样本的硬度在观察值的(+ OR-)10%以内稻米含水量,稻米总产量和面积体积比。使用蛋白质含量,碱扩散值和糙米水分含量,对于超过70%的保留样品,可以准确地预测观察值的(+ OR-)10%范围内的膨胀;膨化后长粒样品的分类膨胀程度更大比中粒或短粒样品要高。发现三种中粒大米,即北约,布拉索斯和维斯塔,可与长粒样品相比。这一事实,再加上与长粒品种相比,中粒品种的单产高得多,每磅成本略低,应会激励工业购买者继续购买中粒大米。;在实验室条件下,旨在模拟工业大米的加工环境碾磨了113个不同品种和类型的大米样品。分析所得的糙米的理化特性。建立了其中一些属性的定量相互关系。建立了经验模型来预测碾米的硬度和糊化干燥米的膨化。

著录项

  • 作者

    GOODMAN, DONALD EDWARD.;

  • 作者单位

    Louisiana State University and Agricultural & Mechanical College.;

  • 授予单位 Louisiana State University and Agricultural & Mechanical College.;
  • 学科 Food science.
  • 学位 Ph.D.
  • 年度 1981
  • 页码 371 p.
  • 总页数 371
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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