Prediction of retention times and peak shape parameters of unknown compounds in traditional Chinese medicine under gradient conditions by ultra performance liquid chromatography

被引:12
作者
Jin, Gaowa [1 ]
Xue, Xingya [1 ]
Zhang, Feifang [1 ]
Zhang, Xiuli [1 ]
Xu, Qing [1 ]
Jin, Yu [1 ]
Liang, Xinmiao [1 ]
机构
[1] Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116023, Peoples R China
关键词
Prediction; Retention time; Peak shape parameter; Peak recognition; Traditional Chinese medicine; Ultra performance liquid chromatography;
D O I
10.1016/j.aca.2008.08.044
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A method for the prediction of retention times and peak shape parameters of compounds of unknown structures in complex sample under linear gradient mobile phase conditions was established. Taking traditional Chinese medicine (TCM)-Rhizoma Corydalis as an example, the chromatographic retention parameters and peak shape parameters of 24 compounds were studied. After recognition of each peak under five different linear gradient conditions, the binary parameters equation was established to calculate the retention parameters on ultra performance liquid chromatography (UPLC) with 2.1 mm i.d. column packed with 1.7 mu m particles. And further retention times under other binary gradient conditions were predicted. The largest relative error of predicted retention time for each compound in R. Corydalis was 0.75%. The exponentially modified Gaussian (EMG) model and automatic peak curve-fitting method were used to resolve the overlapping peaks, to calculate the peak shape parameters and to obtain the peak shape rules. The peak shape parameters sigma, tau and W-h/2 possessed the linear relationship with the equivalent retention time t(R)(*). Based on peak shape rules, peak shape parameters under other mobile phase conditions were predicted. The predicted peak shape parameters were coincident with the experimental results. (C) 2008 Elsevier B.V All rights reserved.
引用
收藏
页码:95 / 103
页数:9
相关论文
共 46 条
  • [11] Additivity of statistical moments in the exponentially modified Gaussian model of chromatography
    Howerton, SB
    Lee, C
    McGuffin, VL
    [J]. ANALYTICA CHIMICA ACTA, 2003, 478 (01) : 99 - 110
  • [12] Optimisation of gradient elution in normal-phase high-performance liquid chromatography
    Jandera, P
    [J]. JOURNAL OF CHROMATOGRAPHY A, 1998, 797 (1-2) : 11 - 22
  • [13] Algorithms for time-dependent chromatographic peak areas - 1. Algorithms evaluated for fully resolved peaks
    Jin, DH
    Pardue, HL
    [J]. ANALYTICA CHIMICA ACTA, 2000, 422 (01) : 1 - 10
  • [14] A novel method of prediction and optimization for preparative high-performance liquid chromatography separation
    Jin, Yu
    Xue, Xingya
    Liu, Yanfang
    Xiao, Yuansheng
    Zhang, Jing
    Shi, Hui
    Zhang, Feifang
    Liang, Xinmiao
    [J]. JOURNAL OF CHROMATOGRAPHY A, 2008, 1183 (1-2) : 76 - 86
  • [15] COMPUTER-ASSISTED RETENTION PREDICTION SYSTEM FOR REVERSED-PHASE MICRO HIGH-PERFORMANCE LIQUID-CHROMATOGRAPHY
    JINNO, K
    KAWASAKI, K
    [J]. JOURNAL OF CHROMATOGRAPHY, 1984, 316 (DEC): : 1 - 23
  • [16] Deconvolution of overlapped peaks based on the exponentially modified Gaussian model in comprehensive two-dimensional gas chromatography
    Kong, HW
    Ye, F
    Lu, X
    Guo, L
    Tian, J
    Xu, GW
    [J]. JOURNAL OF CHROMATOGRAPHY A, 2005, 1086 (1-2) : 160 - 164
  • [17] Comparison of ultra-performance liquid chromatography and high-performance liquid chromatography for the determination of priority pesticides in baby foods by tandem quadrupole mass spectrometry
    Leandro, CC
    Hancock, P
    Fussell, RJ
    Keely, BJ
    [J]. JOURNAL OF CHROMATOGRAPHY A, 2006, 1103 (01) : 94 - 101
  • [18] Li SJ, 1992, CHIN J CHROMATOGR, V10, P251
  • [19] CURRENT STRATEGIES FOR PREDICTION OF RETENTION IN HIGH-PERFORMANCE LIQUID-CHROMATOGRAPHY
    LOCHMULLER, CH
    REESE, C
    ASCHMAN, AJ
    BREINER, SJ
    [J]. JOURNAL OF CHROMATOGRAPHY A, 1993, 656 (1-2) : 3 - 18
  • [20] Lu P Z, 1982, CHINESE SCI BULL, P1175