State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.
Talanta. 2021 Mar 1;224:121798. doi: 10.1016/j.talanta.2020.121798. Epub 2020 Oct 22.
Three intelligent chemometric multi-way calibration methods including alternating trilinear decomposition (ATLD), alternating trilinear decomposition assisted multivariate curve resolution (ATLD-MCR) and multivariate curve resolution-alternating least squares (MCR-ALS) combined with high performance liquid chromatography-diode array detection (HPLC-DAD) were used to quantify ten molecular targeted anti-tumor drugs in three complex biological matrices (plasma, urine and cell culture media matrices). All analytes can be successfully eluted in 6.5 min. In this experiment, various degrees of time shifts occurred in different samples. While slight time shifts exist in the chromatographic analysis, satisfactory results can be obtained by the three proposed methods. When the time shift was large (5.6 s), the average spiked recoveries obtained by ATLD analysis were in the range of 58.9%-116.5%, which was less than satisfactory. However, the average recoveries obtained by MCR-ALS and ATLD-MCR analysis were 89.8%-114.8% and 84.5%-106.1% respectively, and more satisfactory results were obtained. For further research, ATLD-MCR and MCR-ALS methods were compared, and the results were evaluated by statistical tests. Accuracies of concentrations obtained by them were considered to be no significant difference. In addition, compared with other methods currently published, the proposed chemometric methods combined with the HPLC-DAD can rapidly, simultaneously and accurately determine varieties of molecular targeted anti-tumor drugs in different complex biological matrices even in the presence of severe peak overlaps, severe time shifts, slight baseline drifts and different unknown background interferences.
三种智能化学计量多向校准方法，包括交替三线性分解（ATLD）、交替三线性分解辅助多元曲线分辨（ATLD-MCR）和多元曲线分辨交替最小二乘法（MCR-ALS），结合高效液相色谱-二极管阵列检测（HPLC-DAD），用于定量三种复杂生物基质（血浆、尿液和细胞培养介质基质）中的十种分子靶向抗肿瘤药物。所有分析物都可以在 6.5 分钟内被成功洗脱。在本实验中，不同样品中发生了不同程度的时间偏移。虽然色谱分析中存在轻微的时间偏移，但通过三种提出的方法仍可以得到满意的结果。当时间偏移较大（5.6 秒）时，ATLD 分析得到的平均加标回收率在 58.9%-116.5%之间，不太令人满意。然而，MCR-ALS 和 ATLD-MCR 分析得到的平均回收率分别为 89.8%-114.8%和 84.5%-106.1%，得到了更满意的结果。为了进一步研究，比较了 ATLD-MCR 和 MCR-ALS 方法，并通过统计检验对结果进行了评估。认为它们获得的浓度准确度没有显著差异。此外，与目前已发表的其他方法相比，所提出的化学计量学方法与 HPLC-DAD 相结合，可以快速、同时、准确地测定不同复杂生物基质中的多种分子靶向抗肿瘤药物，即使存在严重的峰重叠、严重的时间偏移、轻微的基线漂移和不同的未知背景干扰。
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