Qualitative and quantitative analysis of anthraquinones in rhubarbs by high performance liquid chromatography with diode array detector and mass spectrometry
•Fingerprint analysis and quantitative analysis were combined.•Standard herbal material rhubarbs were used.•Rationality to use two species of rhubarb traditionally equally got its supports. Rhubarb is well known in traditional Chinese medicines (TCMs) mainly due to its effective purgative activity....
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Veröffentlicht in: | Food chemistry 2013-12, Vol.141 (3), p.1710-1715 |
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Sprache: | eng |
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Zusammenfassung: | •Fingerprint analysis and quantitative analysis were combined.•Standard herbal material rhubarbs were used.•Rationality to use two species of rhubarb traditionally equally got its supports.
Rhubarb is well known in traditional Chinese medicines (TCMs) mainly due to its effective purgative activity. Anthraquinones, including anthraquinone derivatives and their glycosides, are thought to be the major active components in rhubarb. To improve the quality control method of rhubarb, we studied on the extraction method, and did qualitative and quantitative analysis of widely used rhubarbs, Rheum tanguticum Maxim. ex Balf. and Rheum palmatum L., by HPLC–photodiode array detection (HPLC–DAD) and HPLC–mass spectrum (HPLC–MS) on a Waters SymmetryShield RP18 column (250mm×4.6mm i.d., 5μm). Amount of five anthraquinones was viewed as the evaluating standard. A standardized characteristic fingerprint of rhubarb was provided. From the quantitative analysis, the rationality was demonstrated for ancestors to use these two species of rhubarb equally. Under modern extraction methods, the amount of five anthraquinones in Rheum tanguticum Maxim. ex Balf. is higher than that in Rheum palmatum L. Among various extraction methods, ultrasonication with 70% methanol for 30min is a promising one. For HPLC analysis, mobile phase consisted of methanol and 0.1% phosphoric acid in water with a gradient program, the detection wavelength at 280nm for fingerprinting analysis and 254nm for quantitative analysis are good choices. |
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ISSN: | 0308-8146 1873-7072 |
DOI: | 10.1016/j.foodchem.2013.04.074 |