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Interactions between methyl ketones and beta-lactoglobulin: Sensory analysis, headspace analysis, and mathematical modeling

机译:甲基酮与β-乳球蛋白之间的相互作用:感官分析,顶空分析和数学建模

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Interaction of flavor compounds with proteins is known to have an influence on the release of flavor from food. Hydrophobic interactions were found between beta-lactoglobulin and methyl ketones; the affinity constant increases by increasing the hydrophobic chain. Addition of beta-lactoglobulin (0.5 and 1%) to aroma solutions (12.5, 50, and 100 mu L L-1) of three methyl ketones induces a significant decrease in odor intensity. The chosen methyl ketones were 2-heptanone (K-b = 330), 2-octanone (K-b = 950), and 2-nonanone (K-b = 2440). The release of these flavor compounds (50 mu L L-1) was studied by static headspace in water solution (50 mM NaCl, pH 3) with different concentrations of beta-lactoglobulin (0, 0.5, 1, 2, 3, and 4%). Increasing the concentration of protein increases the retention of volatiles, and this effect is greatest for 2-nonanone, the compound with the highest affinity constant, and lowest for 2-heptanone. A mathematical model previously developed to describe flavor release from aqueous solutions containing flavor-binding polymers (Harrison, M.; Hills, B.P. J. Agric. Food Chem. 1997, 45, 1883-1890) was used to interpret the data. The model assumes that the polymer-flavor interaction is reversible and the rate-limiting step for release is the transfer of volatiles across the macroscopic gas-liquid interface. This model was used to predict the equilibrium partitioning properties and the rate of release of the three methyl ketones. Increasing the affinity constant leads to decreased release rates and a lower final headspace aroma concentration. [References: 20]
机译:已知风味化合物与蛋白质的相互作用会影响风味从食物中的释放。在β-乳球蛋白和甲基酮之间发现了疏水相互作用。亲和常数通过增加疏水链而增加。将β-乳球蛋白(0.5%和1%)添加到三种甲基酮的香气溶液(12.5、50和100μL L-1)中会导致气味强度显着降低。选择的甲基酮是2-庚酮(K-b = 330),2-辛酮(K-b = 950)和2-壬酮(K-b = 2440)。通过在具有不同浓度的β-乳球蛋白(0、0.5、1、2、3和4)的水溶液(50 mM NaCl,pH 3)中进行静态顶空研究了这些风味化合物(50μL L-1)的释放。 %)。蛋白质浓度的增加会增加挥发物的保留,并且这种效果对于2-壬酮(具有最高亲和常数的化合物,而对于2-庚酮最低)的影响最大。先前开发的用于描述从包含风味结合聚合物的水溶液中释放风味的数学模型(Harrison,M。; Hills,B.P.J.Agric.Food Chem.1997,45,1883-1890)被用来解释数据。该模型假设聚合物与香料之间的相互作用是可逆的,释放的限速步骤是通过宏观的气液界面转移挥发物。该模型用于预测三种甲基酮的平衡分配特性和释放速率。增加亲和常数会导致释放速率降低和最终的顶部空间香气浓度降低。 [参考:20]

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