2014
DOI: 10.1016/j.foodres.2014.01.004
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Comparative studies on Ophiopogonis and Liriopes based on the determination of 11 bioactive components using LC–MS/MS and Hierarchical clustering analysis

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Cited by 26 publications
(21 citation statements)
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“…High precision (RSD < 7.3% for intraday and interday variations) and acceptable recoveries (94.5–105.2%) were obtained. Finally, contents of eight homoisoflavonoids (0.07‒3.32 μg/g) in O. japonicus were determined (Supporting Information Table S2), and the obtained contents of methylophiopogonanone A and methylophiopogonanone B have good agreement with previously reported [32].…”
Section: Resultssupporting
confidence: 84%
See 1 more Smart Citation
“…High precision (RSD < 7.3% for intraday and interday variations) and acceptable recoveries (94.5–105.2%) were obtained. Finally, contents of eight homoisoflavonoids (0.07‒3.32 μg/g) in O. japonicus were determined (Supporting Information Table S2), and the obtained contents of methylophiopogonanone A and methylophiopogonanone B have good agreement with previously reported [32].…”
Section: Resultssupporting
confidence: 84%
“…Methylophiopogonanone A ( 28 ) and methylophiopogonanone B ( 33 ) are two major homoisoflavonoids in O. japonicus , therefore, researches have focused on their quantification [32]. Here, eight commercial homoisoflavonoids ( 11 , 21 , 27 , 28 , 30 , 33 , 35 , and 36 ) were selected for quantification by HPLC–QTOF‐MS using extracted ion chromatography.…”
Section: Resultsmentioning
confidence: 99%
“…The output of various mass spectrometric methods of small molecule profiling has also been similarly analyzed with varying results. Examples include multivariate statistical analysis of data generated using: 1) Curie Point pyrolysis mass spectrometry for classification of bacteria 52 ; (2) paper spray mass spectrometry for determination of the geographic origin of coffee 53 ; (3) HPLC-tandem MS of herbal medicines to determine country of origin 54 ; (4) Ultraperformance liquid chromatography-time of flight mass spectrometry for classification of wheat lines 55 ; (5) LC-MS/MS for the assessment of the utility of using bioactive components as the basis of distinguishing between herbal medicines 56 ; (6) RPLC ESI-MS for standardization of Ginkgo biloba extracts 57 ; (7) direct injection electrospray MS for classification of coffee trees 58 ; (8) ion molecule reaction mass spectrometry for bacterial species differentiation 59 ; (9) GC- and atmospheric pressure photoionization (APPI) MS for classification of natural resins 60 ; (10) GC-GC TOF/MS for characterization and authentication of edible oils 61 , and (11) pyrolysis GC-MS profiling of eucalypt emissions in response to climate change and wildfires 62 , among other examples. The method described here differs from those outlined in the aforementioned studies in that in general, data acquisition is simpler, a broad range of compounds spanning the dielectric constant spectrum can be detected in a single experiment, and the entire information content of the observed DART-MS-derived chemical fingerprints is subjected to unsupervised hierarchical clustering (rather than using a subset of feature masses and/or chromatographic peaks).…”
Section: Discussionmentioning
confidence: 99%
“…However, cluster B could be further divided into two subgroups (B1 and B2). Sample numbers 1, 3,6,7,9,14,18,21,24, and 25 were in subgroup B1, and the remaining cluster B samples were in subgroup B2. From the plot, it is evident that the Hainan samples (S8 and S11) are clustered in A, which distinguishes these samples from the others.…”
Section: Hierarchical Clustering Analysismentioning
confidence: 99%