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采用液相色谱-质谱联用技术和新型线性保留指数数据库分析鱼类的脂质谱。

Lipid profile of fish species by liquid chromatography coupled to mass spectrometry and a novel linear retention index database.

机构信息

Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Sicily, Italy.

Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Sicily, Italy.

出版信息

J Sep Sci. 2020 May;43(9-10):1773-1780. doi: 10.1002/jssc.202000171. Epub 2020 Apr 24.

Abstract

In a previous article, Rigano et al. established a new linear retention index system for the identification of triacylglycerols by liquid chromatography methods only on the basis of the retention behavior and independently from many experimental parameters. In that work, a database of 209 compounds was built, but only 54 of them, typical of vegetable oils, were confirmed by mass spectrometry. The aim of the present research is to extend the applicability of the novel approach to more complex samples, such as fish lipid extracts, and assess the complementarity between mass spectromtery and retention information to achieve univocal identification. With this purpose, a new software was implemented to make the identification process easy and automatic as in gas chromatography-mass spectrometry where the retention index filter is added in the spectral search to discriminate between compounds with similar mass spectrometry spectra. A total of 69 species were identified and, thanks to their baseline separation obtained by an ultra high performance liquid chromatography method, a semiquantification was also performed. The species under investigation were Dicentrarchus labrax, coming from aquaculture and the wild. Some differences in their native lipid composition were observed, probably related to a different diet. A major number of samples would be necessary to confirm such a preliminary finding.

摘要

在之前的一篇文章中,Rigano 等人仅基于保留行为并独立于许多实验参数,为通过液相色谱法鉴定三酰基甘油建立了一个新的线性保留指数系统。在这项工作中,建立了一个包含 209 种化合物的数据库,但其中只有 54 种通过质谱法得到确认,它们是植物油中的典型化合物。本研究的目的是将新方法的适用性扩展到更复杂的样品,如鱼类脂质提取物,并评估质谱和保留信息之间的互补性,以实现明确的鉴定。为此,开发了一种新的软件,使鉴定过程像在气相色谱-质谱中一样简单和自动,其中保留指数过滤器被添加到光谱搜索中,以区分具有相似质谱的化合物。共鉴定了 69 种化合物,并通过超高效液相色谱法获得基线分离,从而进行了半定量分析。研究的物种为来自水产养殖和野生的蓝鳍金枪鱼(Dicentrarchus labrax)。观察到它们天然脂质组成存在一些差异,这可能与不同的饮食有关。需要更多的样本才能证实这一初步发现。

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