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A comparison of structural–functional equation models to identify fatty acids on three common gas chromatography columns

机译:结构-功能方程模型的比较,以鉴定三个常用气相色谱柱上的脂肪酸

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Reported herein is a series of new structural–functional relationship equations which provide relevant structural information of unknown fatty acid methyl esters (double-bonds, chain-length, and omega-bond position) based upon temperature induced shifts in equivalent chain length's (ECLs). The induced ECL changes were accomplished upon two cyanoalkyl (Supelco SP-2560, fast GC; Varian Factor 4, VF-23) and one stabilised PEG column (Innowax). Regression on this data-set permitted the development of classical linear equations. To calculate the ECL values, bracketing saturated fatty acid methyl esters (FAMEs) were run in the same admixture as the unsaturated FAMEs. The equations developed for each of the three columns are demonstrated to have varying capacity to accurately identify the chain-length, double-bond number and omega-bond position.
机译:本文报道了一系列新的结构-功能关系方程,这些方程基于温度引起的当量链长(ECL)位移提供未知的脂肪酸甲酯(双键,链长和ω键位置)的相关结构信息。 。诱导的ECL变化是通过两个氰基烷基(Supelco SP-2560,快速GC; Varian因子4,VF-23)和一个稳定的PEG色谱柱(Innowax)完成的。在该数据集上的回归允许经典线性方程式的发展。为了计算ECL值,将括号内的饱和脂肪酸甲酯(FAME)与不饱和FAME在相同的混合物中运行。已证明为三列中的每一个开发的方程式都有不同的能力来准确识别链长,双键数和ω键位置。

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