Dhakal Rabin, Nieman Reed, Valente Daniel C A, Cardozo Thiago M, Jayee Bhumika, Aqdas Amna, Peng Wenjing, Aquino Adelia J A, Mechref Yehia, Lischka Hans, Moussa Hanna
Department of Mechanical Engineering, Texas Tech University, Lubbock, TX, 79409, USA.
Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, 79409-1061, USA.
Int J Mass Spectrom. 2021 Mar;461. doi: 10.1016/j.ijms.2020.116495. Epub 2020 Dec 16.
The accurate determination of the nonpolar surface area of glycans is vital when utilizing liquid chromatograph/mass spectrometry (LC-MS) for structural characterization. A new approach for defining and computing nonpolar surface areas based on continuum solvation models (CS-NPSA) is presented. It is based on the classification of individual surface elements representing the solvent accessible surface used for the description of the polarized charge density elements in the CS models. Each element can be classified as polar or nonpolar according to a threshold value. The summation of the nonpolar elements then results in the NPSA resulting in a very fine resolution of this surface. The further advantage of the CS-NPSA approach is the straightforward connection to standard quantum chemical methods and program packages. The method has been analyzed in terms of the contributions of different atoms to the NPSA. The analysis showed that not only atoms normally classified as nonpolar contributed to the NPSA, but at least partially also atoms next to polar atoms or N atoms. By virtue of the construction of the solvent accessible surface, atoms in the inner regions of a molecule can be automatically identified as not contributing to the NPSA. The method has been applied to a variety of examples such as the phenylbutanehydrazide series, model dextrans consisting of glucose units and biantennary glycans. Linear correlation of the CS-NPSA values with retention times obtained from liquid chromatographic separations measurements in the mentioned cases give excellent results and promise for more extended applications on a larger variety of compounds.
在利用液相色谱/质谱联用仪(LC-MS)进行结构表征时,准确测定聚糖的非极性表面积至关重要。本文提出了一种基于连续介质溶剂化模型(CS-NPSA)定义和计算非极性表面积的新方法。该方法基于对代表溶剂可及表面的各个表面元素的分类,这些表面元素用于描述CS模型中的极化电荷密度元素。每个元素可根据阈值分类为极性或非极性。然后,非极性元素的总和得出NPSA,从而实现该表面的高分辨率。CS-NPSA方法的另一个优点是与标准量子化学方法和程序包直接相关。该方法已根据不同原子对NPSA的贡献进行了分析。分析表明,不仅通常归类为非极性的原子对NPSA有贡献,而且极性原子或N原子旁边的原子至少部分也有贡献。由于溶剂可及表面的构建,分子内部区域的原子可自动识别为对NPSA无贡献。该方法已应用于各种实例,如苯丁酰肼系列、由葡萄糖单元组成的模型葡聚糖和双天线聚糖。在上述情况下,CS-NPSA值与液相色谱分离测量得到的保留时间之间的线性相关性给出了优异的结果,并有望在更多种类的化合物上得到更广泛的应用。