Assessment ofPolygonum capitatumBuch.-Ham. ex D.Don by metabolomics based on gas chromatography with mass spectrometry

Autor:	Cristina Legido-Quigley, Yong Huang, Pei Han, Peter J. Hylands
Rok vydání:	2016
Předmět:	0301 basic medicine Polygonum Chromatography biology Quality assessment 010401 analytical chemistry Analytical chemistry Filtration and Separation Linear discriminant analysis biology.organism_classification Mass spectrometry 01 natural sciences 0104 chemical sciences Analytical Chemistry Hierarchical clustering Chemometrics 03 medical and health sciences 030104 developmental biology Metabolomics Gas chromatography Mathematics
Zdroj:	Journal of Separation Science. 39:1979-1986
ISSN:	1615-9306
DOI:	10.1002/jssc.201501331
Popis:	Polygonum capitatum is widely used in southwest China. It has considerable therapeutic efficacy for urinary tract infections. P. capitatum contains multiple components and quality assessment can be achieved by means of metabolic fingerprinting. In this paper, a new strategy for P. capitatum quality determination was developed. Eleven batches of P. capitatum were collected from five geographical areas in China including a standard batch regulated by Good Agriculture Practice. Gas chromatography with mass spectrometry was used to generate fingerprints from triplicate extractions to each batch (n = 33). Hierarchical clustering analysis was applied to assess similarities among the ten batches to the standard batches. Orthogonal projection to latent structures discriminate analysis, cross-validated with permutation tests, was performed to investigate discriminating metabolites. Results demonstrated that the overall evaluation hierarchical clustering analysis clustered two batches with distance > 3. Orthogonal projection to latent structures discriminate analysis (R(2) Y (cum) = 0.997, Q(2) (cum) = 0.97, CV-ANOVA = 8.48 × 10(-11) ) indicated that several sugars contributed to batch classification. This method is a rational approach that can classify against a regulated plant standard and distinguishes samples from different origins or processing time in a holistic manner and metabolites driving any differences can be easily identified.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fcf1b919a23b870ab074640b4a234d40 https://doi.org/10.1002/jssc.201501331 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.