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Colloidal calcium phosphate in bovine casein micelles, and its impact on rheological properties of rennet-induced gels and cheese texture.

机译:牛酪蛋白胶束中的胶体磷酸钙及其对凝乳酶诱导的凝胶和奶酪质地的流变性质的影响。

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摘要

A simple model for colloidal calcium phosphate (CCP) nanocluster was theoretically developed. Two important features in this model were (1) theoretical molecular weight (Mw) was 4,900&sim9,800 g/mol, and (2) 4 casein molecules were involved in a single CCP nanocluster. To experimentally support the derived Mw of CCP nanocluster, size-exclusion chromatography was used to separate CCP nanoclusters fraction from trypsin- or papain/proteinase-treated milk samples and multiangle laser light scattering was used to measure the Mw of this fraction. The Mw was 7,282&sim13,772 g/mol, which was close to the theoretically-derived Mw. To elucidate the possible role of the interactions between casein molecules and CCP nanoclusters in the textural properties of gels/cheeses, we measured the rheological properties of rennet-induced gels/cheeses made from milk that was acidified to lower pH values or that had added EDTA. The gelation profiles showed a maximum storage modulus (GM), and a decrease in storage modulus (G') values. In low pH gels or gels with added EDTA, low GM and high loss tangent (LT) values were observed due to the loss of insoluble (INS) Ca content. The loss of INS Ca reduced casein cross-linking and resulted in a more flexible network in these milk gels. The presence of GM was due to macro/microsyneresis reaction occurring in rennet-induced gels during very long reaction times. The loss of INS Ca stimulated inter/intra-molecular rearrangements of casein particles as indicated by higher LT values, which were responsible for the observed decrease in G' values after GM. A modified Carlson model was fitted to experimental G' values as a function of time and this model predicted this decrease, and also reasonably predicted the observed rheological changes in rennet-induced gels. The rate constant for macro/microsyneresis derived from this modified Carlson model could be useful for studying macro/microsyneresis and how this reaction is affected by variables. When milk with depleted levels of INS Ca was processed into cheeses, a decrease in G' values and an increase in LT values were observed at high measuring temperature. This indicated that the loss of INS Ca crosslinking can cause the higher melt and flow of these cheeses. Therefore, the concentration of CCP nanoclusters can be used as texture modifier in dairy gels/cheeses.
机译:理论上开发了胶体磷酸钙(CCP)纳米簇的简单模型。该模型的两个重要特征是:(1)理论分子量(Mw)为4,900&sim9,800 g / mol,(2)4个酪蛋白分子参与单个CCP纳米簇。为了实验上支持衍生的CCP纳米团簇的Mw,使用尺寸排阻色谱法从胰蛋白酶或木瓜蛋白酶/蛋白酶处理的牛奶样品中分离CCP纳米团簇级分,并使用多角度激光散射法测量该级分的Mw。 Mw为7,282&sim13,772 g / mol,接近于理论推导的Mw。为了阐明酪蛋白分子与CCP纳米团簇之间的相互作用在凝胶/奶酪的质地中的可能作用,我们测量了凝乳酶诱导的由牛奶制成的凝胶/奶酪的流变特性,所述牛奶经酸化至较低的pH值或添加了EDTA。 。胶凝曲线显示最大储能模量(GM),并且储能模量(G')值降低。在低pH值的凝胶或添加EDTA的凝胶中,由于不溶性(INS)Ca含量的损失,观察到了低GM和高损耗正切(LT)值。 INS Ca的损失减少了酪蛋白的交联,并导致这些凝胶中的网络更加灵活。 GM的存在是由于在很长的反应时间内凝乳酶诱导的凝胶中发生了宏观/微缩神经反应。较高的LT值表明,INS Ca的损失刺激了酪蛋白颗粒的分子间/分子内重排,这是导致GM后G'值下降的原因。修改后的卡尔森模型适合作为时间函数的实验G'值,该模型预测了这种下降,并且还合理地预测了凝乳酶诱导的凝胶中观察到的流变变化。从这种修改后的卡尔森模型得出的宏观/微神经递质的速率常数可用于研究宏观/微神经递质以及该反应如何受变量影响。将INS Ca含量低的牛奶加工成奶酪时,在高测量温度下,G'值降低,而LT值升高。这表明INS Ca交联的丧失会导致这些干酪的更高的熔解和流动。因此,CCP纳米簇的浓度可以用作乳胶/奶酪的质地改良剂。

著录项

  • 作者

    Choi, Jongwoo.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Agriculture Food Science and Technology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 163 p.
  • 总页数 163
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:34

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