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Exclusive quantification of methyl-branched fatty acids and minor 18:1-isomers in foodstuff by GC/MS in the SIM mode using 10,11-dichloroundecanoic acid and fatty acid ethyl esters as internal standards

机译:使用10,11-二氯十一烷酸和脂肪酸乙酯作为内标通过GC / MS在SIM模式下对食品中甲基支化脂肪酸和次要18:1-异构体进行独家定量

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摘要

Minor fatty acids (iso- and anteiso-fatty acids, vaccenic acid, elaidic acid) in foodstuff (seafood, milk, and dairy products) were analyzed by gas chromatography with electron ionisation mass spectrometry in the selected ion monitoring mode (GC/EI-MS-SIM). For this purpose, lipids were obtained by accelerated solvent extraction (ASE) and the fatty acid constituents were converted into methyl esters. Instead of the determination of the relative contribution of the minor fatty acids to the sum of all fatty acids detected (the so-called 100% method), we exclusively quantified the minor fatty acids, which was possible by using two types of internal standards (IS-1 and IS-2). For recovery checks during the extraction and/or the transesterification step we added the novel 10,11-dichloroundecanoic acid (DC-11:0) as IS-1. DC-11:0, which has never been detected in foodstuff, was synthesized by electrophilic addition of chlorine to 10-undecenoic acid (11:1n-10). The novel IS eluted in the range of 23:0 from the polar GC column used and showed the same properties as fatty acids in foodstuff during sample preparation. Recovery rate of DC-11:0 was generally >96% in the various samples analyzed. Ethyl esters (FAEE) of a12:0, a14:0, a15:0, a16:0, a17:0, and a18:0 (IS-2) were added to both the external standard (a quantitative mixture of methyl esters of methyl-branched fatty acids and 18:1n-9trans) in order to determine their response factors relative to FAEE and to the food samples. With this technique, (only) methyl-branched fatty acids (MBFAs) as well as vaccenic acid (18:1n-7) and elaidic acid (18:1n-9trans) were quantified in a range of dairy products (including twelve cheeses) and seafood. All samples were analyzed in triplicates, and good standard deviations (concentrations 0.002–5 g/100 g; standard deviations 0.00–0.03) were obtained in all cases. MBFAs were detected in all samples analyzed. The highest content of MBFAs (3.0 g/100 g) was determined in red-smear of romadur cheese. In all except two cheeses, i17:0 was the most abundant MBFA. The highest amount of 18:1n-9trans was found in feta (2.84 g/100 g) whereas 0.03 g/100 g in big eye snapper (Pricanthus tayenus) marked the lowest record of this minor fatty acid. Seal oil contained the highest amount of 18:1n-7 with 5.00 g/100 g, whereas emmental cheese was the sample with the lowest content of this monoenoic fatty acid. The combination of suitable IS and a sensitive GC/EI-MS-SIM method proved to be well suited for the quantification of minor fatty acids in foodstuff. When only a set of fatty acids is going to be analyzed, this method is less time consuming compared to “100% methods” and less prone to false results due to the higher selectivity of GC/MS compared to GC in combination with flame ionisation detection (GC/FID).
机译:通过气相色谱-电子离子质谱法在选定的离子监测模式下对食品(海鲜,牛奶和奶制品)中的次要脂肪酸(异脂肪酸和前异脂肪酸,牛痘酸,松香酸)进行了分析(GC / EI- MS-SIM)。为此,通过加速溶剂萃取(ASE)获得脂质,并将脂肪酸成分转化为甲酯。我们没有确定次要脂肪酸对检测到的所有脂肪酸之和的相对贡献(所谓的100%方法),而是专门量化了次要脂肪酸,这可以通过使用两种类型的内标( IS-1和IS-2)。为了在萃取和/或酯交换步骤中进行回收率检查,我们添加了新型10,11-二氯十一烷酸(DC-11:0)作为IS-1。 DC-11:0是从未在食品中检测到的,它是通过向10-十一碳烯酸(11:1n-10)进行亲电加氯而合成的。新型IS从所用的极性GC柱上以23:0洗脱,在样品制备过程中显示出与食品中脂肪酸相同的特性。在所分析的各种样品中,DC-11:0的回收率通常> 96%。将a12:0,a14:0,a15:0,a16:0,a17:0和a18:0(IS-2)的乙酯(FAEE)添加到两种外标中(甲基支链脂肪酸和18:1n-9trans),以确定它们相对于FAEE和食品样品的响应因子。使用这种技术,可以对多种乳制品(包括十二种奶酪)中的(仅)甲基支链脂肪酸(MBFA)以及痘苗酸(18:1n-7)和来水酸(18:1n-9trans)进行定量。和海鲜。所有样品均一式三份进行分析,在所有情况下均获得了良好的标准偏差(浓度为0.002–5 g / 100 g;标准偏差为0.00–0.03)。在所有分析的样品中均检测到MBFA。在romadur奶酪的红色涂片中确定了MBFA的最高含量(3.0 g / 100 g)。在所有两种奶酪中,i17:0是最丰富的MBFA。羊中的18:1n-9trans含量最高(2.84 g / 100 g),而大眼鲷(Pricanthus tayenus)中的0.03 g / 100 g标志着这种次要脂肪酸的最低记录。海狗油中18:1n-7的含量最高,为5.00 g / 100 g,而艾门塔尔干酪的样品中这种单烯脂肪酸的含量最低。事实证明,合适的IS与灵敏的GC / EI-MS-SIM方法相结合非常适合定量食品中的微量脂肪酸。当仅要分析一组脂肪酸时,与“ 100%方法”相比,此方法耗时少,并且由于与GC结合火焰电离检测相比,GC / MS的选择性更高,因此该方法不易产生错误结果(GC / FID)。

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  • 来源
    《European Food Research and Technology》 |2008年第5期|975-983|共9页
  • 作者单位

    Institute of Food Chemistry University of Hohenheim Garbenstr. 28 70599 Stuttgart Germany;

    Institute of Food Chemistry University of Hohenheim Garbenstr. 28 70599 Stuttgart Germany;

    Institute of Food Chemistry University of Hohenheim Garbenstr. 28 70599 Stuttgart Germany;

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