National Institutes for Food and Drug Control, Beijing, China.
School of Science, China Pharmaceutical University, Nanjing, China.
J Mass Spectrom. 2023 Sep;58(9):e4968. doi: 10.1002/jms.4968.
The use of mass spectrometry for chiral recognition and quantification has attracted great interest owing to its speed, sensitivity, specificity, and tolerance. However, searching for chiral selectors in chiral analyses using mass spectrometry is still problematic. In this study, chiral drugs could be applied as references for the chiral recognition and enantiomeric quantification of valsartan and voriconazole. Two novel pairs of metal-bound diastereomeric complex ions were detected by mass spectrometry, namely, nickel (II)-bound dimeric ions [Ni (2R,5S-emtricitabine) (S-valsartan)-H] and [Ni (2R,5S-emtricitabine) (R-valsartan)-H] and copper (II)-bound dimeric ions [Cu (S,S,S-enalaprilat) (2S,3R-voriconazole)-H] and [Cu (S,S,S-enalaprilat) (2R,3S-voriconazole)-H] . The resulting diastereomers were successfully identified based on the relative intensities of their characteristic fragments using tandem mass spectrometry. The logarithm of the characteristic fragment ion abundance ratio exhibited a good linear relationship with the enantiomeric excess. Density functional theory calculations were also performed to elucidate the mechanism of the structural differences observed in the MS results. This established approach proves that chiral drugs can serve as ligands for the rapid recognition and quantitative analysis of other chiral drugs without a chiral chromatographic column or complex sample pretreatment.
由于其速度、灵敏度、特异性和耐受性,质谱法在对映体识别和定量方面的应用引起了极大的兴趣。然而,在使用质谱法进行手性分析时,寻找手性选择剂仍然是一个问题。在这项研究中,手性药物可作为缬沙坦和伏立康唑手性识别和对映体定量的参考。通过质谱法检测到两种新型的金属结合的非对映异构体的二聚体离子,即镍(II)结合的二聚体离子[Ni(2R,5S-恩曲他滨)(S-缬沙坦)-H]和[Ni(2R,5S-恩曲他滨)(R-缬沙坦)-H]和铜(II)结合的二聚体离子[Cu(S,S,S-依那普利拉)(2S,3R-伏立康唑)-H]和[Cu(S,S,S-依那普利拉)(2R,3S-伏立康唑)-H]。通过串联质谱法,根据其特征碎片的相对强度成功地识别了这些非对映异构体。特征碎片离子丰度比的对数与对映体过量呈良好的线性关系。还进行了密度泛函理论计算,以阐明 MS 结果中观察到的结构差异的机制。该方法证明,手性药物可以作为配体,用于快速识别和定量分析其他手性药物,而无需手性色谱柱或复杂的样品预处理。