牛乳作为一种营养全面的理想食物， 已成为人们日常生活中不可或缺的一部分， 与此同时人们也越来越关注乳制品的品质， 因此快速、 灵敏的检测方法的开发和使用显得尤为重要。 基于三维荧光指纹技术， 建立了一种牛乳品质检测与评价的新方法， 该方法可以通过三维荧光特征图谱， 得到相对应的牛乳成分信息。 和常规的荧光方法相比， 三维荧光法可以提供更丰富， 更全面的物质信息。 首先根据牛乳在不同实验条件影响下荧光强度的变化及图谱的改变， 确定了最佳的预处理条件， 接着分别对牛乳抗生素残留以及受热程度的判别进行了研究。 对于兽药残留分析， 可以检测出牛乳中含量在05 mg·L-1以上的新霉素； 对于牛乳受热程度判分析， 利用三维荧光技术结合平行因子法（PARAFAC）对生鲜乳、 巴氏杀菌乳及UHT灭菌乳的定性判别， 当组分数为3时， 中心连续系数可达9763%。 因此， 三维荧光指纹技术具有快速准确的检测牛乳品质的潜力。

The evaluation of milk quality is very important, which has already become a research hotspot. The non-destructive, rapid and sensitive analytical technique is urgently needed for ensuring the quality of milk. In this research, we established a new analytical technique based on three-dimensional (3-D) fluorescence spectrum, which can reflect the components information of milk with their unique fluorescence fingerprint. Compared with conventional fluorescence spectrum, the 3-D fluorescence spectrum provides more detailed and comprehensive information. By utilizing this technique, the pretreatment factors of milk are optimized by analyzing the changes of fluorescent components. Furthermore, the method can detect out 05 mg·L-1 antibiotic residual in milk. The 3-D fluorescence technique combined with Parallel Factor Analysis (PARAFAC) was used to evaluate the heat treatment of milk. A good consistency of 9763% was calculated, which indicated that the developed 3-D fluorescence fingerprint technique was credible and could be utilized as a powerful tool to examine the quality of milk.