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

机译:超高效液相色谱法预测梯度条件下中药中未知化合物的保留时间和峰形参数

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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 2.1mm i.d. column packed with 1.7 μm 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 σ, τ 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.
机译:建立了一种在线性梯度流动相条件下预测复杂样品中未知结构化合物的保留时间和峰形参数的方法。以中药延胡索为例,研究了24种化合物的色谱保留参数和峰形参数。在五个不同的线性梯度条件下识别每个峰后,建立二元参数方程,以计算内径为2.1mm的超高效液相色谱(UPLC)的保留参数。装有1.7μm颗粒的色谱柱并预测了在其他二元梯度条件下的保留时间。延胡索中每种化合物的预计保留时间的最大相对误差为0.75%。使用指数修正的高斯(EMG)模型和自动峰曲线拟合方法来解析重叠峰,计算峰形状参数并获得峰形状规则。峰形参数σ,τ和W_(h / 2)与等效保留时间t_R〜*具有线性关系。根据峰形规则,预测了其他流动相条件下的峰形参数。预测的峰形参数与实验结果一致。

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