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ORIGINAL ARTICLE
Year : 2015  |  Volume : 11  |  Issue : 41  |  Page : 157-162

Development and validation of an high-performance liquid chromatography-diode array detector method for the simultaneous determination of six phenolic compounds in abnormal savda munziq decoction


1 Central Laboratory of Xinjiang Medical University, Urumqi, China
2 Xinjiang Key Laboratory of Famous Prescription and Science of Formulas, Urumqi-830054, Xinjiang, China
3 College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi-830054, Xinjiang, China
4 Central Laboratory of Xinjiang Medical University; Xinjiang Key Laboratory of Famous Prescription and Science of Formulas, Urumqi-830054, Xinjiang, China

Correspondence Address:
Halmuart Upur
Central Laboratory of Xinjiang Medical University; Xinjiang Key Laboratory of Famous Prescription and Science of Formulas, Urumqi-830054, Xinjiang
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0973-1296.149732

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Aims: Given the high-effectiveness and low-toxicity of abnormal savda munziq (ASMQ), its herbal formulation has long been used in traditional Uyghur medicine to treat complex diseases, such as cancer, diabetes, and cardiovascular diseases. Settings and Design: ASMQ decoction by reversed-phase high-performance liquid chromatography coupled with a diode array detector was successfully developed for the simultaneous quality assessment of gallic acid, protocatechuic acid, caffeic acid, rutin, rosmarinic acid, and luteolin. The six phenolic compounds were separated on an Agilent TC-C18 reversed-phase analytical column (4.6 × 250 mm, 5 μm) by gradient elution using 0.3% aqueous formic acid (v/v) and 0.3% methanol formic acid (v/v) at 1.0 mL/min. Materials and Methods: The plant material was separately ground and mixed at the following ratios (10): Cordia dichotoma (10.6), Anchusa italic (10.6), Euphorbia humifusa (4.9), Adiantum capillus-veneris (4.9), Ziziphus jujube (4.9), Glycyrrhiza uralensis (7.1), Foeniculum vulgare (4.9), Lavandula angustifolia (4.9), Dracocephalum moldavica L. (4.9), and Alhagi pseudoalhagi (42.3). Statistical Analysis Used: The precisions of all six compounds were <0.60%, and the average recoveries ranged from 99.39% to 104.85%. Highly significant linear correlations were found between component concentrations and specific chromatographic peak areas (R2 > 0.999). Results: The proposed method was successfully applied to determine the levels of six active components in ASMQ. Conclusions: Given the simplicity, precision, specificity, and sensitivity of the method, it can be utilized as a quality control approach to simultaneously determining the six phenolic compounds in AMSQ.


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