Weidong M A, Clement B A, Klemm W R
Department of Veterinary Anatomy and Public Health, Texas A&M University, College Station 77843-4458, USA.
J Dairy Sci. 1997 Dec;80(12):3227-33. doi: 10.3168/jds.S0022-0302(97)76296-9.
Previous reports on behavioral assays with trained dogs suggested that milk samples from cows at diestrus, proestrus, and estrus had different odors. To identify the odor differences, volatile compounds in milk were isolated and analyzed by gas chromatography and mass spectrometry. About 80 peaks were detected in each chromatogram, of which 59 were present in all samples, and 23 were tentatively identified. The major identified compounds included the following six structurally distinct classes: ester, aldehyde, ketone, alcohol, fatty acid, and lactone. Although no unique peaks were found to be specific to samples taken at diestrus, proestrus, or estrus, 36 compounds exhibited significant differences in concentration among the three reproductive stages. These quantitative differences may account for the variation of milk odors during the estrous cycle. In order to investigate the quantitative differences systematically, multivariate discriminant techniques were used to relate the gas chromatographic profiles with the three stages of the estrous cycle. Stepwise discriminant analysis indicated that 15 of the 59 peaks in each chromatogram could best be used to reveal the differences among milk samples taken at diestrus, proestrus, and estrus stages. The discriminant function based on the 15 key peaks could classify all of the samples into their original categories at a total accuracy of 97.9%. Canonical analysis indicated that milk samples from different stages were clearly separated from each other in a two-dimensional space.
先前有关训练犬只进行行为分析的报告表明,处于间情期、发情前期和发情期的奶牛所产牛奶样本具有不同气味。为了确定气味差异,对牛奶中的挥发性化合物进行了分离,并通过气相色谱法和质谱法进行分析。每个色谱图中检测到约80个峰,其中59个在所有样本中均存在,23个被初步鉴定。鉴定出的主要化合物包括以下六个结构不同的类别:酯、醛、酮、醇、脂肪酸和内酯。尽管未发现有独特的峰对处于间情期、发情前期或发情期采集的样本具有特异性,但有36种化合物在三个生殖阶段的浓度存在显著差异。这些定量差异可能解释了发情周期中牛奶气味的变化。为了系统地研究这些定量差异,采用多元判别技术将气相色谱图与发情周期的三个阶段联系起来。逐步判别分析表明,每个色谱图中的59个峰中有15个最能用于揭示处于间情期、发情前期和发情期阶段采集的牛奶样本之间的差异。基于这15个关键峰的判别函数能够以97.9%的总准确率将所有样本分类到其原始类别中。典型分析表明,来自不同阶段的牛奶样本在二维空间中明显相互分离。