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利用在线 LC-GC-FID 测定植物油中的 MOSH 和 MOAH:一种新的、可靠且可比较的方法─方法精密度数据评估。

Determining MOSH and MOAH with High Sensitivity in Vegetable Oil─A New, Reliable, and Comparable Approach Using Online LC-GC-FID─Evaluation of Method Precision Data.

机构信息

Federal Research Institute for Nutrition and Food, Department of Safety and Quality of Cereals, Working Group for Lipid Research, Max Rubner-Institut, Detmold D-32756, Germany.

Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Münster 48149, Germany.

出版信息

J Agric Food Chem. 2022 Aug 24;70(33):10337-10348. doi: 10.1021/acs.jafc.2c01189. Epub 2022 Aug 15.

Abstract

A method for the analysis of saturated mineral oil hydrocarbons (MOSH) and aromatic mineral oil hydrocarbons (MOAH) has been developed to improve interlaboratory precisions especially for amounts below 10 mg/kg. This approach was adopted as the standard method DGF C-VI 22 (20) of the German Society of Fat Sciences. Therefore, this method was evaluated on different edible oils containing a variety of interfering biogenic substances. The precision data were determined in an interlaboratory trial with an international group of 14 laboratories from Germany, Austria, and Italy. Good reproducible relative standard deviations for total MOSH (12.5-20.7%) and total MOAH (12.4-39.5%) as well as HorRat values ranging between 1.1 and 2.3 for total MOSH and between 0.9 and 2.6 for total MOAH have been achieved. As some matrices showed residual interferences in the MOAH fraction, these substances were further analyzed by online high-performance liquid chromatography-comprehensive two dimensional gas chromatography with time of flight mass detection.

摘要

已经开发出一种分析饱和矿物油烃 (MOSH) 和芳香族矿物油烃 (MOAH) 的方法,以提高特别是低于 10mg/kg 的含量的实验室间精密度。该方法被德国油脂科学协会的标准方法 DGF C-VI 22(20)采用。因此,该方法在含有各种生物源干扰物质的不同食用油中进行了评估。精密度数据是在一个由来自德国、奥地利和意大利的 14 个实验室组成的国际小组的实验室间试验中确定的。总 MOSH(12.5-20.7%)和总 MOAH(12.4-39.5%)的重现性相对标准偏差以及总 MOSH 的 HorRat 值在 1.1 到 2.3 之间,总 MOAH 的 HorRat 值在 0.9 到 2.6 之间。由于一些基质在 MOAH 馏分中显示出残留干扰,因此通过在线高效液相色谱-飞行时间质谱联用二维气相色谱法对这些物质进行了进一步分析。

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