Literature DB >> 22795572

Chemometric resolution of coeluting peaks of eleven antihypertensives from multiple classes in high performance liquid chromatography: a comprehensive research in human serum, health product and Chinese patent medicine samples.

Juan Zhao1, Hai-Long Wu, Jing-Fang Niu, Yong-Jie Yu, Li-Li Yu, Chao Kang, Quan Li, Xiao-Hua Zhang, Ru-Qin Yu.   

Abstract

A novel chemometric-assisted high performance liquid chromatography method coupled with diode array detector (HPLC-DAD) was presented for the simultaneous determination of eleven antihypertensives from multiple classes in most concerned matrix systems. With the aid of second-order calibration which enables specific information of analytes to be well extracted, the heavily overlapping profiles between analytes and the coeluting interferences can be successfully separated and thus accurately quantified. A great advantage of the novel strategy lies in the fact that the analysis could be carried out with the same isocratic mobile phase (methanol/KH(2)PO(4): 58:42, v/v, pH 2.60) in a short time regardless of the changes of matrices, such as human serum, health product and Chinese patent medicine. Both qualitative and quantitative results indicate that the hybrid strategy that using HPLC-DAD coupled with second-order chemometric method would be a high performance approach for the purpose of simultaneously quantifying multiple classes of antihypertensives in complex systems. Additionally, the analytical strategy can potentially benefit drug monitoring in both therapeutic research and pharmaceutical quality control. Moreover, the accuracy and reliability of the proposed methodology has been evaluated using several statistical parameters such as root mean squared error of prediction (RMSEP), figures of merit (FOM) and reproducibility of inter-day analysis.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22795572     DOI: 10.1016/j.jchromb.2012.06.032

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  3 in total

Review 1.  The re-emergence of natural products for drug discovery in the genomics era.

Authors:  Alan L Harvey; RuAngelie Edrada-Ebel; Ronald J Quinn
Journal:  Nat Rev Drug Discov       Date:  2015-01-23       Impact factor: 84.694

2.  An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm.

Authors:  Lizhi Cui; Josiah Poon; Simon K Poon; Hao Chen; Junbin Gao; Paul Kwan; Kei Fan; Zhihao Ling
Journal:  BMC Bioinformatics       Date:  2014-11-06       Impact factor: 3.169

Review 3.  How to identify "Material basis-Quality markers" more accurately in Chinese herbal medicines from modern chromatography-mass spectrometry data-sets: Opportunities and challenges of chemometric tools.

Authors:  Min He; Yu Zhou
Journal:  Chin Herb Med       Date:  2020-08-06
  3 in total

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