Literature DB >> 25828506

Chemometric analyses for the characterization of raw and processed seeds of Descurainia sophia (L.) based on HPLC fingerprints.

Xidan Zhou1, Liying Tang1, Hongwei Wu1, Guohong Zhou1, Ting Wang1, Zhenzhen Kou1, Shunxin Li2, Zhuju Wang3.   

Abstract

The seeds of Descurainia sophia (L.) (short for DSS below), with a long history of medicinal utilization in China, have attracted the attention of many Chinese medicine practitioners for the potent efficacy. In the present study, the raw and processed DSS were differentiated by several chemometrics methods based on HPLC fingerprints. Moreover, peaks which were mainly responsible for the differentiation between raw and roasted DSS were found. Therefore, the method of the chromatographic fingerprints combined with multivariate statistical analysis was effective and reasonable in orientating chemical constituents which were mainly responsible for the differentiation between raw and roasted materials, thus shedding light on illustrating the processing mechanism. What's more, this method can also be applied in the identification of authenticity.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Descurainia sophia (L.); High-performance liquid chromatography with diode array detector fingerprints; Multivariate statistical analysis; Plantago depressa Willd; Processing mechanism

Mesh:

Substances:

Year:  2015        PMID: 25828506     DOI: 10.1016/j.jpba.2015.03.010

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  8 in total

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