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提出了一种测定奶品中群集成分的非线性化学方法,并将其用于为测定掺杂在羊奶中的牛奶和马奶的含量.首先,在不同温度下测定不同掺杂比的混合奶标样与纯羊奶的非线性化学指纹图谱诱导时间之差,利用该差值与混合奶中各原奶含量的多元线性关系,通过最小二乘法建立测定混合奶中各原奶含量的系统模型;然后,用此模型及相同条件下测得的混合奶试样与纯羊奶指纹图谱的诱导时间之差,计算出该试样中各原奶含量,并据此来鉴别奶品种类及掺杂程度.结果表明,测定值与真实值之间相关系数为0.9991,RSD为0.77%~4.3%,回收率为93.2%~105.5%,掺杂牛奶和马奶含量的检出限分别为1.93%和2.81%;该方法重现性好、准确度高,可同时测定多元混合奶中各原奶的含量,也能准确鉴别出奶品种类;其原理具有通用性,可供其它复杂样品定量分析借鉴和应用.
A non-linear chemical method for determining the composition of milk in milk was proposed and used to determine the content of milk and horse milk in goat milk.Firstly, the mixture with different doping ratio was measured at different temperatures The difference between the induction time of non-linear chemical fingerprint of milk standard and pure goat milk was analyzed by using the difference and the multiple linear relationship between the contents of each raw milk in mixed milk. The least square method was used to establish the system of measuring the content of raw milk in mixed milk Model; and then using this model and under the same conditions measured the difference between the milk samples and pure goat milk fingerprinting induction time to calculate the sample of the original milk content, and to identify the type of milk and The results showed that the correlation coefficient between the measured value and the true value was 0.9991, the RSD was 0.77% ~ 4.3%, the recovery was 93.2% ~ 105.5%, the detection limits of doped milk and horse milk were 1.93 % And 2.81%, respectively. The method has good reproducibility and high accuracy, and can simultaneously determine the content of each raw milk in the multivariate mixed milk and also can accurately identify the types of the milk. The principle is universal and can be used for quantifying other complex samples Analysis and application.