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在反相液相色谱-质谱条件下,用直链淀粉手性固定相拆分结构不相关化合物的对映体拆分的比较建模研究。

Comparative modelling study on enantioresolution of structurally unrelated compounds with amylose-based chiral stationary phases in reversed phase liquid chromatography-mass spectrometry conditions.

机构信息

Departamento de Química Analítica, Universitat de València, Burjassot, Valencia, Spain.

Departamento de Química Analítica, Universitat de València, Burjassot, Valencia, Spain.

出版信息

J Chromatogr A. 2020 Aug 16;1625:461281. doi: 10.1016/j.chroma.2020.461281. Epub 2020 May 29.

Abstract

Polysaccharide-based chiral stationary phases (CSPs) are the most used chiral selectors in HPLC. These CSPs can be used in normal, polar organic and aqueous-organic mobile phases. However, normal and polar organic mobile phases are not adequate for chiral separation of polar compounds, for the analysis of aqueous samples and for MS detection. In these situations, reversed phase conditions, without the usual non-volatile additives incompatible with MS detection, are preferable. Moreover, in most of the reported chiral chromatographic methods, retention is too large for routine work. In this paper, the chiral separation of 53 structurally unrelated compounds is studied using three commercial amylose-based CSPs -coated amylose tris(3,5-dimethylphenylcarbamate) (Am1), coated amylose tris(5-chloro-2-methylphenylcarbamate) (Am2), and immobilised amylose tris(3-chloro-5-methylphenylcarbamate) (Am3)-. Chiral separations are carried out using acetonitrile/ammonium bicarbonate (pH = 8.0) mixtures, reversed mobile phases compatible with MS detection. To provide realistic conditions for routine analysis, maximum retention factors are set to 15. Retention and enantioresolution behaviour of compounds in those CSPs are compared. On the other hand, to compare and describe the resolution ability of these CSPs, 58 structural variables of the compounds are tested to model for the first time a categorical enantioresolution (CRs) for Am1 and Am3 CSPs. Discriminant partial least squares, for one response categorical variable (DPLS1) is used for feature selection, modelling. The final DPLS1 models showed good descriptive ability.

摘要

多糖手性固定相(CSP)是高效液相色谱法中最常用的手性选择剂。这些 CSP 可用于正相、极性有机和水相有机流动相。然而,正相和极性有机流动相对于手性拆分极性化合物、分析水相样品和 MS 检测并不合适。在这些情况下,反相条件(不使用通常与 MS 检测不兼容的非挥发性添加剂)是优选的。此外,在大多数报道的手性色谱方法中,保留时间太大,不适合常规工作。在本文中,使用三种商业直链淀粉基 CSP-涂覆直链淀粉三(3,5-二甲基苯基氨基甲酸酯)(Am1)、涂覆直链淀粉三(5-氯-2-甲基苯基氨基甲酸酯)(Am2)和固定化直链淀粉三(3-氯-5-甲基苯基氨基甲酸酯)(Am3)-研究了 53 种结构上无关的化合物的手性分离。手性分离采用乙腈/碳酸氢铵(pH=8.0)混合物,反相流动相兼容 MS 检测。为了提供常规分析的实际条件,将最大保留因子设定为 15。比较了这些 CSP 中化合物的保留和对映体拆分行为。另一方面,为了比较和描述这些 CSP 的分辨率能力,首次测试了 58 种化合物的结构变量,对手性固定相 Am1 和 Am3 进行了分类对映体拆分(CRs)建模。用于单响应分类变量(DPLS1)的判别偏最小二乘法用于特征选择和建模。最终的 DPLS1 模型表现出良好的描述能力。

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