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牛奶中游离氨基酸的非手性-手性二维色谱法:一种检测奶牛不同程度乳腺炎的有前景的工具。

Achiral-chiral two-dimensional chromatography of free amino acids in milk: A promising tool for detecting different levels of mastitis in cows.

作者信息

Ianni Federica, Sardella Roccaldo, Lisanti Antonella, Gioiello Antimo, Cenci Goga Beniamino Terzo, Lindner Wolfgang, Natalini Benedetto

机构信息

Department of Pharmaceutical Sciences, University of Perugia, Via Fabretti 48, 06123 Perugia, Italy.

Department of Pharmaceutical Sciences, University of Perugia, Via Fabretti 48, 06123 Perugia, Italy.

出版信息

J Pharm Biomed Anal. 2015 Dec 10;116:40-6. doi: 10.1016/j.jpba.2014.12.041. Epub 2015 Jan 3.

Abstract

In two-dimensional HPLC (2D-HPLC) "heart-cut" applications, two columns are connected in series via a switching valve and volume fractions from the "primary" column are re-injected on the "secondary" column. The heart-cut 2D-HPLC system here described was implemented by connecting a reversed-phase (RP) column (first dimension) to a chiral column (second dimension) containing a quinidine-based chiral stationary phase. The system was used to evaluate the change in the enantiomeric excess value of dansylated (Dns) amino acids (AAs) in milk samples from two cows with different "California Mastitis Test" scores: negative test for sample 1, positive for sample 2. Apart from the co-elution of Dns-Arg/Dns-Gly and the reduced chemoselectivity for Dns-Leu/Dns-allo-Ile, the optimized achiral RP method distinguished the remaining standard Dns-AAs. Dns-AAs were identified in the chromatograms of the real samples, and in higher concentration Dns-Ala, Dns-Arg, Dns-Asp, Dns-Glu, Dns-Ile, Dns-Leu, Dns-Phe and Dns-Val. Except Dns-Arg, the chiral column enabled the RP enantioseparation of all the other compounds (α and RS values up to 1.65 and 8.63, respectively, for Dns-Phe). In sample 2, the amounts of Dns-d-AAs were rather elevated, in particular for Dns-Ala and Dns-Asp. Instead, for sample 1, D-isomers were detected for Dns-Ala, Dns-Glu and Dns-Leu. The proposed 2D-HPLC method could be useful for the identification of clinical mastitis difficult to be diagnosed. Moreover, the eventual progressive reduction of D-AAs levels with the degree of sub-clinical mastitis could allow the building of mathematical models to use for the diagnosis of early stages of mastitis.

摘要

在二维高效液相色谱(2D - HPLC)的“中心切割”应用中,两根色谱柱通过切换阀串联连接,来自“主”色谱柱的体积分数被重新注入到“次”色谱柱上。此处描述的中心切割二维高效液相色谱系统是通过将反相(RP)色谱柱(第一维)连接到含有基于奎尼丁的手性固定相的手性色谱柱(第二维)来实现的。该系统用于评估来自两头具有不同“加利福尼亚乳房炎检测”评分的奶牛的牛奶样品中丹磺酰化(Dns)氨基酸(AAs)对映体过量值的变化:样品1检测为阴性,样品2检测为阳性。除了Dns - Arg/Dns - Gly的共洗脱以及Dns - Leu/Dns - 别异亮氨酸的化学选择性降低外,优化后的非手性RP方法区分了其余标准Dns - AAs。在实际样品的色谱图中鉴定出了Dns - AAs,且浓度较高的有Dns - Ala、Dns - Arg、Dns - Asp、Dns - Glu、Dns - Ile、Dns - Leu、Dns - Phe和Dns - Val。除Dns - Arg外,手性色谱柱实现了所有其他化合物的RP对映体分离(对于Dns - Phe,α和RS值分别高达1.65和8.63)。在样品2中,Dns - d - AAs的含量相当高,尤其是Dns - Ala和Dns - Asp。相反,对于样品1,在Dns - Ala、Dns - Glu和Dns - Leu中检测到了D - 异构体。所提出的二维高效液相色谱方法可能有助于识别难以诊断的临床乳腺炎。此外,随着亚临床乳腺炎程度的增加,D - AAs水平最终可能逐渐降低,这有助于建立用于乳腺炎早期诊断的数学模型。

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