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Discovery and validation of peptide biomarkers for discrimination of Dendrobium species by label-free proteomics and chemometrics.

Authors :
Fang, Can
Xin, Gui-Zhong
Wang, Shu-Ling
Wei, Meng-Meng
Wu, Pu
Dong, Xue-Man
Song, Gao-Qian
Xie, Tian
Zhou, Jian-Liang
Source :
Journal of Pharmaceutical & Biomedical Analysis. Apr2020, Vol. 182, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• A robust method that could authenticate D. officinale from its confusing species effectively was developed by proteomics. • 29 peptides were selected as potential biomarkers for the authentication of D. officinale. • 3 biomarkers verified were of great significance for the identification of D. officinale. • D. officinale from two different geographical regions can be distinguished by one of the peptide biomarkers. The stems of Dendrobium officinale , a well-known and expensive food material and herbal medicine in Asia, has recently suffered adulterants and counterfeits by using lower-price confusing Dendrobium species such as D. devonianum or D. transparens in the herbal market. However, robust methods that could authenticate D. officinale from its confusing species effectively are still lacking, especially for the dried samples. This study committed to discover specific peptides biomarkers for the authentication of D. officinale from the other two Dendrobium species using label-free proteomics by nanoLC LTQ Orbitrap mass spectrometry. Multivariate statistical analysis was applied to visualize the difference between the three Dendrobium species. As a result, 29 peptides among a total of 343 measurable peptides were selected to be potential biomarkers for the classification of these Dendrobium species. The validation of the representative peptide biomarkers was carried out by the synthesized peptides and 3 peptide biomarkers were found significant for the authentication of D. officinale. Further analysis showed that peptide ALGLELDLSER may also be a biomarker for the discrimination of the D. officinale originated from different geographical regions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07317085
Volume :
182
Database :
Academic Search Index
Journal :
Journal of Pharmaceutical & Biomedical Analysis
Publication Type :
Academic Journal
Accession number :
141940243
Full Text :
https://doi.org/10.1016/j.jpba.2020.113118