2013
DOI: 10.1186/1752-153x-7-115
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Chemical quantification and antioxidant assay of four active components in Ficus hirtaroot using UPLC-PAD-MS fingerprinting combined with cluster analysis

Abstract: BackgroundRoot of Ficus hirta (RFH) is widely consumed in China as a plant-derived popular food. However, contents of the active constituents of RFH are unknown, and the chemical as well as bioactive properties of RFH may be affected by growing area. In order to ensure the standard efficacy of health products made with RFH, its active constituents should firstly be determined and, secondly, a means of assessing samples for their contents of these constituents is needed.ResultsFour active components, including … Show more

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Cited by 58 publications
(37 citation statements)
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“…Peak of cnidilide, ligustilide, ligustrazine and ferulic acid were associated with significant pharmacological activities and the compounds could significantly inhibit myocardial ischemia caused by coronary artery ligation. The pharmacological effects of this kind of the extract are consistent with previous studies [38][39][40][41]. Ligustrazine can significantly reduce serum lactic acid and ferulic acid, the rise of chaff this can significantly reduce serum FFA lactone is the main active ingredient of the traditional Chinese medicine Chuanxiong…”
Section: Analysis Of Spectrum-effectsupporting
confidence: 77%
“…Peak of cnidilide, ligustilide, ligustrazine and ferulic acid were associated with significant pharmacological activities and the compounds could significantly inhibit myocardial ischemia caused by coronary artery ligation. The pharmacological effects of this kind of the extract are consistent with previous studies [38][39][40][41]. Ligustrazine can significantly reduce serum lactic acid and ferulic acid, the rise of chaff this can significantly reduce serum FFA lactone is the main active ingredient of the traditional Chinese medicine Chuanxiong…”
Section: Analysis Of Spectrum-effectsupporting
confidence: 77%
“…This permit the explanation of 100% variance (Liebig et al, 1992). Hierarchical cluster analysis (HCA) involves a measurement of the similarity between objects to be clustered, and samples with the maximum similarities were clustered preferentially (Yi et al, 2013). In this study, the ten determined components of the 54 honey samples was inputted into STAT as variables, between group average linkage method was applied to sort honey types into groups, and rescaled distance was selected as measurement to obtain a HCA dendrogram shown in Figure 4.…”
Section: Principal Component Analysis and Hierarchical Cluster Analysismentioning
confidence: 99%
“…The DPPH free radical-scavenging activity of each sample was assayed according to published articles [1416] with minor modifications. In brief, a 0.3 mM solution of methanolic DPPH was freshly prepared.…”
Section: Methodsmentioning
confidence: 99%
“…The ability to reduce ferric ions was measured based on the methods reported in previous papers [16, 17] with minor revisions. Briefly, 30 μL of each sample (with appropriate enrichment or dilution if necessary) was added to 200 μL of FRAP reagent (10 parts of 300 mM sodium acetate buffer at pH 3.6, 1 part of 10.0 mM 2,4,6-tripyridyl-s-triazine (TPTZ) solution, and 1 part of 20.0 mM FeCl 3 ·6H 2 O solution), and the reaction mixture was placed at room temperature for 5 min.…”
Section: Methodsmentioning
confidence: 99%