4.5 Article

Simultaneous qualitative and quantitative analysis of 11 active compounds in rhubarb using two reference substances by UHPLC

Journal

JOURNAL OF SEPARATION SCIENCE
Volume 41, Issue 19, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jssc.201800479

Keywords

relative correction factors; relative retention times; rhubarb; traditional Chinese medicines

Funding

  1. National Major Scientific and Technological Special Project for Significant New Drugs Development [2014ZX09304307-002]
  2. National Natural Foundation of China [81303214]
  3. Youth Development Research Foundation of NIFDC [2013WA8]

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Multi-component analysis is one of the key techniques for the overall quality control of traditional Chinese medicines. However, the shortage and high cost of reference substances are the greatest obstacles. The substitute method is an alternative solution. In the present study, 11 compounds of rhubarb were simultaneously determined by a method named two reference substances for determination of multiple components, which includes a qualitative method with linear calibration using two reference substances and a quantitative method with a relative correction factor combined with ultra high performance liquid chromatography. Using aloe-emodin-8-O--D-glucopyranoside and chrysophanol as reference compounds, chromatographic peak identification was performed. The results demonstrated that linear calibration using two reference substances method showed higher accuracy, less deviation, and better column adaptability compared to the relative retention time method. Using chrysophanol as a reference compound, the relative correction factors were determined and showed good reproducibility and stability in different laboratories with different instruments, columns, and wavelength fluctuations. The results had no significant difference compared with the external standard method. The strategy of two reference substances for determination of multiple components coupled with ultra high performance liquid chromatography is economical, efficient, accurate, reliable, and environmentally friendly and is suitable for the quality control of traditional Chinese medicines.

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