Istituto di Chimica Biomolecolare ICB CNR - UOS di Sassari, Sassari, Italy.
Chirality. 2013 Nov;25(11):709-18. doi: 10.1002/chir.22202. Epub 2013 Jul 26.
With the aim to define a combined computational/chromatographic empirical approach useful for the high-performance liquid chromatography (HPLC) method development of new chiral compounds, 36 racemic aromatic compounds with different chemical structures were used as test probes on four polysaccharide-based chiral stationary phases (CSPs) of the Lux series, namely Lux Cellulose-1, Lux Cellulose-2, Lux Cellulose-4, and Lux Amylose-2, using classical n-hexane/2-propanol mixtures as mobile phase. Electrostatic potential surfaces (EPSs) determined using Density Functional Theory (DFT) calculations were used to derive size, shape, and electronic properties of each analyte. Then a comparative HPLC screening was carried out in order to evaluate the impact of substituents, shapes, and electronic properties of the analytes on the chromatographic behavior as the column changes. The four CSPs showed good complementary recognition ability. The elution sequence was determined in 30 cases out of 36. The success rate to afford baseline separations (R(s) ≥ 1.5) was estimated: 29 compounds out of 36 showed baseline enantioseparation on at least one of the four selected CSPs. The combined computational-chromatographic screening furnished useful collective structure-chromatographic behavior relationships and a map of the chiral discrimination abilities of the considered CSPs towards the analytes. On this basis, the chromatographic behavior of new analytes on a set of polysaccharide-based CSPs can be mapped through the qualitative correlation of chromatographic parameters (k, α, R(s)) to computed molecular properties of the analytes.
为了定义一种组合的计算/色谱经验方法,用于新手性化合物的高效液相色谱(HPLC)方法开发,使用 36 种具有不同化学结构的外消旋芳香族化合物作为测试探针,在四种多糖基手性固定相(CSP)上进行测试,分别是 Lux Cellulose-1、Lux Cellulose-2、Lux Cellulose-4 和 Lux Amylose-2,使用经典的正己烷/2-丙醇混合物作为流动相。使用密度泛函理论(DFT)计算确定的静电势能表面(EPS)用于推导每个分析物的大小、形状和电子性质。然后进行比较高效液相色谱筛选,以评估取代基、分析物的形状和电子性质对色谱行为的影响,因为柱的变化。四种 CSP 表现出良好的互补识别能力。在 36 个案例中的 30 个案例中确定了洗脱顺序。基线分离(R(s)≥1.5)的成功率估计为:在至少一种所选 CSP 上,36 种化合物中有 29 种显示出基线对映体分离。组合的计算-色谱筛选提供了有用的集体结构-色谱行为关系和考虑的 CSP 对分析物的手性分辨能力的图谱。在此基础上,可以通过将色谱参数(k、α、R(s))与分析物的计算分子性质进行定性相关,来映射新分析物在一组多糖基 CSP 上的色谱行为。