首页> 美国卫生研究院文献>Iranian Journal of Pharmaceutical Research : IJPR >Interference-free Determination of Carbamazepine in Human Serum Using High Performance Liquid Chromatography: A Comprehensive Research with Three-way Calibration Methods
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Interference-free Determination of Carbamazepine in Human Serum Using High Performance Liquid Chromatography: A Comprehensive Research with Three-way Calibration Methods

机译:高效液相色谱法无干扰测定人血清中卡马西平:三向标定方法的综合研究

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摘要

In the present study, a comprehensive and systematic strategy was described to evaluate the performance of several three-way calibration methods on a bio-analytical problem. Parallel factor analysis (PARAFAC), alternating trilinear decomposition (ATLD), self-weighted alternating trilinear decomposition (SWATLD), alternating penalty trilinear decomposition (APTLD), and unfolded partial least squares combined with the residual bilinearization procedure (U-PLS/RBL) were applied on high performance liquid chromatography with photodiode-array detection (HPLC-DAD) data to quantify carbamazepine (CBZ) in different serum samples. Using the proposed approach, successfully quantification of CBZ in human plasma, even in the presence of diverse uncalibrated serious interfering components was achieved. Moreover, the accuracy and precision of each algorithm for analyzing CBZ in serum samples were compared using root mean square error of prediction (RMSEP), the recovery values and figures of merits and reproducibility of the analysis. Satisfying recovery values for the analyte of interest were obtained by HPLC-DAD on a Bonus-RP column using an isocratic mode of elution with acetonitrile/K2HPO4 (pH = 7.5) buffer solution (45:55) coupled with second-order calibrations. Decreas of the analysis time and less solvent consumption are some of the pluses of this method. The analysis of real samples showed that the modeling of complex chromatographic profiles containing CBZ as the target drug using any of the mentioned algorithms can be potentially benefit drug monitoring in therapeutic research.
机译:在本研究中,描述了一种全面而系统的策略来评估针对生物分析问题的几种三向校准方法的性能。并行因子分析(PARAFAC),交替三线性分解(ATLD),自加权交替三线性分解(SWATLD),交替罚三线性分解(APTLD)和展开的偏最小二乘结合残差双线性化程序(U-PLS / RBL)将其应用于具有光电二极管阵列检测(HPLC-DAD)数据的高效液相色谱法中,以定量不同血清样品中的卡马西平(CBZ)。使用所提出的方法,即使在存在各种未校准的严重干扰组分的情况下,也可以成功定量测定人血浆中的CBZ。此外,使用预测的均方根误差(RMSEP),回收率,优值和重现性图,比较了每种分析血清样品中CBZ的算法的准确性和准确性。通过Bonus-RP色谱柱上的HPLC-DAD使用乙腈/ K2HPO4(pH = 7.5)缓冲溶液(45:55)的等度洗脱模式,并通过二级校准,获得满意的目标分析物回收率值。减少分析时间和减少溶剂消耗是该方法的优点。实际样品的分析表明,使用任何上述算法对包含CBZ作为目标药物的复杂色谱图进行建模可能会有益于治疗研究中的药物监测。

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