2014
DOI: 10.1371/journal.pone.0096329
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Phytochemical Composition, Antioxidant Activity and HPLC Fingerprinting Profiles of Three Pyrola Species from Different Regions

Abstract: The present study was performed to investigate the variation of phytochemical composition, antioxidant activity and High Performance Liquid Chromatography (HPLC) fingerprinting profiles of three Pyrola species. Thirteen samples (eight P. decorata, three P. calliantha and two P. renifolia) were collected from different regions in China. The tannin, hyperoside and quercetin contents of all samples were determined by reverse-phase HPLC and varied within the range 9.77–34.75, 0.34–2.16 and 0.062–0.147 mg/g dry wei… Show more

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Cited by 18 publications
(28 citation statements)
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References 23 publications
(30 reference statements)
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“…Total flavonoid content was also measured for P. decorata, P. calliantha and P. renifolia from different regions in China. Our results are most similar to those obtained for extracts from P. decorata collected in the Emei Mountains, Sichuan province (37.8 mg of rutin equivalent per g of dry weight) [13].…”
Section: Tpc (Mg Gae/g De)supporting
confidence: 88%
“…Total flavonoid content was also measured for P. decorata, P. calliantha and P. renifolia from different regions in China. Our results are most similar to those obtained for extracts from P. decorata collected in the Emei Mountains, Sichuan province (37.8 mg of rutin equivalent per g of dry weight) [13].…”
Section: Tpc (Mg Gae/g De)supporting
confidence: 88%
“…Chemometric methods, in particular, hierarchical cluster analysis (HCA) and principle component analysis (PCA) that involve the objective collection of chemical profiles, are widely applied in analyzing information from chemical analyses of herbal medicines (Yan et al, 2001; Zhang et al, 2005; Wan et al, 2006; Shi et al, 2008; Wang et al, 2014; Liu W. et al, 2016). However, to our knowledge, fingerprint analysis has not been applied to evaluate the quality of J. rigida to date.…”
Section: Introductionmentioning
confidence: 99%
“…DA can be used to build prediction models for group members based on the observed characteristics in each case, which can generate one or a set of discriminant functions. The unknown members can be distinguished and classified according to the eigenvalues . In this study, regression analysis was tried to predict the total antioxidant activity of the seven lignans and the variables were selected by LASSO (least absolute shrinkage and selection operator) method ( Tables and ).…”
Section: Resultsmentioning
confidence: 99%
“…The unknown members can be distinguished and classified according to the eigenvalues. [15] In this study, regression analysis was tried to predict the total antioxidant activity of the seven lignans and the variables were selected by LASSO (least absolute shrinkage and selection operator) method ( Tables 6 and 7). Finally, three variables, schisandrol A, schisandrol B and schisandrin B, were selected from 7 lignans contents.…”
Section: Discrimination Analysis (Da)mentioning
confidence: 99%