| Literature DB >> 33379025 |
Yue-Yue Chang1, Hai-Long Wu2, Huan Fang1, Tong Wang1, Yang-Zi Ouyang1, Xiao-Dong Sun1, Gao-Yan Tong1, Yu-Jie Ding1, Ru-Qin Yu1.
Abstract
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.Entities:
Keywords: Biological matrix; High performance liquid chromatography-diode array detection; Molecular targeted anti-tumor drug; Multi-way calibration method; Second-order advantage
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Year: 2020 PMID: 33379025 DOI: 10.1016/j.talanta.2020.121798
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057