Cozma A, Zaharia V, Ignat A, Gocan S, Grinberg N
University of Oradea, Faculty of Science, Department of Chemistry, Romania.
J Chromatogr Sci. 2012 Mar;50(3):157-61. doi: 10.1093/chromsci/bmr034.
Using reversed-phase high-performance thin-layer chromatography and a methanol-water mixture as the mobile phase, the lipophilicity of 12 new synthesized derivatives is studied. The first eight compounds have as a basic chemical structure aryliden-hydrazino-selenazoles, and the second group of the three compounds belongs to aroyl-hydrazinoselenazoles. The linear correlation between R(Mw) and the methanol-water ratios showed high values for the correlation coefficient. The chromatographic hydrophobic index is determined by using the ratio -R(Mw)/S, and the obtained values ranged between 99 and 73. A good linear correlation is obtained between R(Mw) and the slope. The log P values are calculated using ACD/Labs Software. The matrices are formed with R(Mw) and log P and are subjected to a principal component analysis (PCA). The best way to extract information from PCA is graphically, by plotting the obtained matrices. By analyzing the scores, the compounds can be grouped as follows: a group containing nine compounds, and a second one containing three compounds. Each group of compounds has the same basic chemical structure.
采用反相高效薄层色谱法，以甲醇 - 水混合物为流动相，研究了12种新合成衍生物的亲脂性。前八种化合物的基本化学结构为芳基亚甲基肼基硒唑，后三种化合物属于芳酰肼基硒唑。R(Mw)与甲醇 - 水比例之间的线性相关性显示相关系数值较高。色谱疏水指数通过-R(Mw)/S比值确定，所得值在99至73之间。R(Mw)与斜率之间获得了良好的线性相关性。log P值使用ACD/Labs软件计算。由R(Mw)和log P形成矩阵，并进行主成分分析(PCA)。从PCA中提取信息的最佳方法是通过绘制所得矩阵以图形方式进行。通过分析得分，化合物可分为以下两组：一组包含九种化合物，另一组包含三种化合物。每组化合物具有相同的基本化学结构。
