4.6 Article

More accurate matrix-matched quantification using standard superposition method for herbal medicines

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1254, Issue -, Pages 43-50

Publisher

ELSEVIER
DOI: 10.1016/j.chroma.2012.07.020

Keywords

Quantitative analysis; Herbal medicine; Standard superposition; Standard addition; Matrix effect; Panax notoginseng; Saponins; LC-MS

Funding

  1. National Natural Science Foundation of China [81130068, 81173497]
  2. PhD top-notch talent incubation program [2010BPY01]
  3. Program sponsored for Scientific Innovation Research of College Graduate in Jangsu Province [CXLX11_0789]

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Various analytical technologies have been developed for quantitative determination of marker compounds in herbal medicines (HMs). One important issue is matrix effects that must be addressed in method validation for different detections. Unlike biological fluids, blank matrix samples for calibration are usually unavailable for HMs. In this work, practical approaches for minimizing matrix effects in HMs analysis were proposed. The matrix effects in quantitative analysis of five saponins from Panax notoginseng were assessed using high-performance liquid chromatography (HPLC). Matrix components were found to interfere with the ionization of target analytes when mass spectrometry (MS) detection were employed. To compensate the matrix signal suppression/enhancement, two matrix-matched methods, standard addition method with the target-knockout extract and standard superposition method with a HM extract were developed and tested in this work. The results showed that the standard superposition method is simple and practical for overcoming matrix effects for quantitative analysis of HMs. Moreover. the interference components were observed to interfere with light scattering of target analytes when evaporative light scattering detection (ELSD) was utilized for quantitative analysis of HMs but was not indicated when Ultraviolet detection (UV) were employed. Thus, the issue of interference effects should be addressed and minimized for quantitative HPLC-ELSD and HPLC-MS methodologies for quality control of HMs. (c) 2012 Elsevier B.V. All rights reserved.

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