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首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Quantitative structure retention relationship modeling as potential tool in chromatographic determination of stability constants and thermodynamic parameters of beta-cyclodextrin complexation process
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Quantitative structure retention relationship modeling as potential tool in chromatographic determination of stability constants and thermodynamic parameters of beta-cyclodextrin complexation process

机译:定量结构保持关系建模作为稳定性常数色谱法测定型稳定性常数的潜在工具及β-环糊精络合过程的热力学参数

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When cyclodextrins (CDs) are used in chromatography analytes' retention time is decreased with an increase in concentration of CD in the mobile phase. Thus complex stability constants can be determined from the change in retention time of the ligand molecule upon complexation. Since the preceding approach implies extensive and time-consuming HPLC experiments, the goal of this research was to investigate the possibility of using in silico prediction tools instead. Quantitative structure-retention relationship (QSRR) model previously developed to explain the retention behavior of risperidone, olanzapine and their structurally related impurities in beta-CD modified HPLC system was applied to predict retention factor under different chromatographic conditions within the examined domains. Predicted retention factors were further used for calculation of stability constants and important thermodynamic parameters, namely standard Gibbs free energy, standard molar enthalpy and entropy, contributing to inclusion phenomenon. Unexpected prolonged retention with an increase in beta-CD concentration was observed, in contrast to the employed chromatographic theory used for the calculation of the stability constants. Consequently, it led to failure in stability constants and thermodynamic parameters calculation for almost all analytes when acetonitrile content was 20% (v/v) across the investigated pH range. Moreover, ionization of investigated analytes and free stationary phase silanol groups are pH dependent, leading to minimization of secondary interactions if free silanol groups are non-ionized at pH lower than 3. In order to prove accuracy of predicted retention factors, HPLC verification experiments were performed and good agreement between predicted and experimental values was obtained, confirming the applicability of proposed in-silico tool. However, the obtained results opened some novel questions and revealed that chromatographic method is not overall applicable in calculation of stability constants and thermodynamic parameters indicating the complexity of ss-CD modified systems. (C) 2020 Elsevier B.V. All rights reserved.
机译:当在色谱分析物中使用环糊精(CDS)时,在流动相中的CD浓度的增加,减少了“保留时间”。因此,复杂的稳定性常数可以从配体分子的保留时间的变化确定在络合物时。由于前面的方法意味着广泛且耗时的HPLC实验,因此该研究的目标是研究在硅预测工具中使用的可能性。以先前开发的用于解释β-CD改性的HPLC系统中的β-CD改性HPLC系统中的尿布酮,奥氮平及其结构相关杂质的保留行为的定量结构保留关系(QSRR)模型被应用于预测检查结构域内不同色谱条件下的保留因子。预测的保留因子进一步用于计算稳定常数和重要的热力学参数,即标准吉布斯自由能,标准摩尔焓和熵,有助于包含现象。与用于计算稳定常数的所用的色谱理论相比,观察到β-CD浓度增加的意外长度保持。因此,当乙腈含量在所研究的pH范围内时,它导致稳定性常数和热力学参数计算几乎所有分析物的计算。此外,研究的分析物和自由静止相硅烷醇基团的电离依赖于pH,导致如果游离硅烷醇基团在pH低于3的pH下非电离,则最小化二次相互作用。为了证明预测保留因子的准确性,HPLC验证实验是获得了预测和实验值之间的执行和良好的一致性,确认了硅工具中提出的适用性。然而,所获得的结果开通了一些新颖的问题,并揭示了色谱法在计算稳定常数和热力学参数的计算中,表明SS-CD改性系统的复杂性。 (c)2020 Elsevier B.v.保留所有权利。

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