Dispersive liquid–liquid microextraction (DLLME) was used prior to gas chromatography flame ionization detection (GC-FID) for the extraction of five fatty acids from milk taken from cows with different body condition scores. Optimum extraction conditions were: 300 μL of chloroform (extraction solvent), and 1 mL methanol (dispersive solvent). The procedure was optimised using Design of Experiments (DoE). The analytes were separated on a GC capillary column containing a polyethylene glycol stationary phase (15 m × 0.53 mm × 1.2 μm). Enrichment factors were in the range of 8–15 and limit of detection (LOD) was 0.04 μg/mL. Calibration graphs showed good linearity with coefficients of determination higher than 0.994% and relative standard deviations lower than 7%. This method provided a simple and rapid derivatisation and extraction method for the determination of fatty acids in bovine milk. It showed that there was a significant difference in the palmitic acid content of milk from cows that had an optimum body condition score (10.85 mg/mL) compared to cows that had a high body condition score (5.73 mg/mL).

在气相色谱火焰离子化检测（GC-FID）之前，先使用分散液-液微萃取（DLLME）从牛奶中提取五种不同身体状况评分的脂肪酸。最佳萃取条件为：300μL氯仿（萃取溶剂）和1 mL甲醇（分散溶剂）。使用实验设计（DoE）对程序进行了优化。在包含聚乙二醇固定相（15 m×0.53 mm×1.2μm）的GC毛细管柱上分离分析物。富集因子在8–15范围内，检出限（LOD）为0.04μg/ mL。校正图显示出良好的线性，测定系数高于0.994％，相对标准偏差低于7％。该方法为测定牛乳中的脂肪酸提供了一种简单，快速的衍生和提取方法。结果表明，与具有较高身体状况评分（5.73 mg / mL）的母牛相比，具有最佳身体状况评分（10.85 mg / mL）的母牛的牛奶中棕榈酸含量存在显着差异。