Literature DB >> 32419363

Combination of c oxidase subunit I based deoxyribonucleic acid barcoding and HPLC techniques for the identification and quality evaluation of Pheretima aspergillum.

Xiaomei Liu1, Hongmei Liu1, Cunyan Zhang1, Ailing Wei1, Hui Ao1, Fang Liu1, Meifeng Li1, Li Guo1, Qiang Ye1.   

Abstract

This study aimed to identify Pheretima aspergillum (Guang-Pheretima) and its adulterants using the cytochrome c oxidase subunit I based deoxyribonucleic acid barcoding technology, and further to evaluate their quality using an optimized high-performance liquid chromatography method. For deoxyribonucleic acid barcoding identification, the Kimura-2-Parameter model was used to analyze genetic distance, and phylogenetic neighbor-joining tree was constructed for species identification of 20 labeled Guang-Pheretima samples. A high-performance liquid chromatography method was developed for the simultaneous determination of seven nucleoside components for quality evaluation. Compared with the GenBank database, 10 samples were identified as real Guang-Pheretima (P. aspergillum), and the others as the adulterants-Metaphire magna. The maximum intraspecific genetic distances of c oxidase subunit I sequence for P. aspergillum were smaller than the minimum interspecific genetic distances between P. aspergillum and M. magna. Ten P. aspergillum and 10 M. magna samples were clearly clustered in the neighbor-joining tree. The contents of seven nucleosides components in P. aspergillum were significantly higher than that in its adulterant-M. magna. The incidence of adulterants for Guang-Pheretima was high (up to 50%) with an alarming quality. This study provided a powerful idea for the quality evaluation of other highly valuable plant- or animal-derived products for safety concerns to avoid misidentification.
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Keywords:  deoxyribonucleic acid barcoding; high-performance liquid chromatography; quality evaluation; species identification; traditional Chinese medicine

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Year:  2020        PMID: 32419363     DOI: 10.1002/jssc.202000283

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  1 in total

1.  An Integrated Strategy of Chemical Fingerprint and Network Pharmacology for the Discovery of Efficacy-Related Q-Markers of Pheretima.

Authors:  Ye Shang; Suyi Liu; Chunxiao Liang; Kunze Du; Shujing Chen; Jin Li; Hua Jin; Yanxu Chang
Journal:  Int J Anal Chem       Date:  2022-10-04       Impact factor: 1.698

  1 in total

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