Systematic Study on a Quantitative Analysis of Multicomponents by Single Marker (QAMS) Method for Simultaneous Determination of Eight Constituents in Pneumonia Mixture by UPLC-MS/MS

Author:

Zhang Haibo12ORCID,Xie Weina12,Liu Jiangyun3,Xiang Xiaoqiang4,Zhang Shilei1,Hu Junping1ORCID,Yang Jianhua12ORCID

Affiliation:

1. College of Pharmacy, Xinjiang Medical University, Urumqi 830011, China

2. Department of Pharmacy, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China

3. College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China

4. Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai 201203, China

Abstract

Pneumonia mixture was formulated and is available to treat children acute pneumonia and acute bronchitis in our hospital for nearly forty years, but there are few studies of its quality evaluation or control. In this paper, a new strategy for quality evaluation of pneumonia mixture was explored and verified through qualitative and quantitative analyses of multicomponents by single marker (QAMS) by UPLC-MS/MS. Baicalein was selected as an internal reference, and the relative correction factors (RCFs) and the relative retention time (RRT) of (R, S)-goitrin, amygdalin, chlorogenic acid, pseudoephedrine hydrochloride, ephedrine hydrochloride, ammonium glycyrrhizinate, and baicalin were established. The robustness and durability of the QAMS method were investigated. RCF values calculated by the average (AVG) method and linear regression (LRG) method had good repeatability and were acceptable for quantitative analysis, and the RTT combined with the exact masses of precursor and fragment ions and their abundance could be adopted for accurately positioning the chromatographic peak of the eight constituents. The consistency and feasibility of the QAMS method were verified by comparing the contents of the seven components calculated by a classic and validated external standard method (ESM) with those of the QAMS method, which reduces analytical cost and time of detection and avoids the problem of the diversity and large quantity of reference standards. The results demonstrated that the QAMS method developed in this paper could provide a new, alternative, and promising method to comprehensively and effectively determine multicomponents and control the quality of pneumonia mixture or even a group of similar medicines.

Funder

Department of Education, Xinjiang Uygur Autonomous Region

Publisher

Hindawi Limited

Subject

Computer Science Applications,Instrumentation,General Chemical Engineering,Analytical Chemistry

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