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首页> 外文期刊>Journal of chromatography, B. Analytical technologies in the biomedical and life sciences >The application of dispersive liquid–liquid microextraction in the analyses of the fatty acid profile in bovine milk in response to changes in body condition score
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The application of dispersive liquid–liquid microextraction in the analyses of the fatty acid profile in bovine milk in response to changes in body condition score

机译:分散液 - 液微萃取在牛奶中脂肪酸谱的分析中的应用,响应身体状况得分的变化

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Highlights?A novel microextraction method for fatty acids in milk is proposed.?Relationship between fatty acid profile and body condition score is examined.?Palmitic acid can be used to determine optimum body condition score.AbstractDispersive 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 metho
机译:<![cdata [ 突出显示 提出了一种新的微萃取方法,用于牛奶中脂肪酸的微萃取方法。 检查脂肪酸谱与身体状况得分之间的关​​系。 棕榈酸可用于确定最佳的身体状况得分。 < / ce:摘要> 抽象 在气相色谱之前使用分散液 - 液体微萃取(dllme)火焰离子化检测(GC-FID)用于从奶牛中取出的五种脂肪酸,不同的身体状况分数。最佳提取条件是:300〜μl氯仿(萃取溶剂)和1?mL甲醇(分散溶剂)。使用实验设计(DOE)进行了优化的程序。分析物在含有聚乙二醇固定相的GC毛细管柱上分离(15Ω·××0.53Ω·××1.2≤μm)。富集因子在8-15的范围内,并且检测极限(LOD)为0.04ΩΩ·μg/ ml。校准图表显示了良好的线性度,测定系数高于0.994%,相对标准偏差低于7%。这个metho.

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