2008
DOI: 10.1016/j.jchromb.2007.11.041
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HPLC fingerprinting and LC–TOF-MS analysis of the extract of Pseudostellaria heterophylla (Miq.) Pax root

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Cited by 42 publications
(20 citation statements)
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“…The main objective of metabolic fingerprinting is to compare multiparametric patterns (or fingerprints) as dynamic metabolic phenotypes of a high number of samples (Wolfender et al 2009). This approach is widely applied in phytochemistry and phytotherapy for purposes such as quality control of plants, characterization and classification of medicinal plants (Fu et al 2009;Ge et al 2008;Han et al 2008;Yang et al 2007) and studies of plant response to stress and plant-host interactions (Allwood et al 2008;Shulaev et al 2008). Metabolomics approaches prove useful to distinguish among individual signals and thus might serve in biomarker discovery, for the identification of new chemotaxonomic characters in systematics, or as indicators of short-term environmental changes in ecology studies (Fiehn 2002;Wolfender et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…The main objective of metabolic fingerprinting is to compare multiparametric patterns (or fingerprints) as dynamic metabolic phenotypes of a high number of samples (Wolfender et al 2009). This approach is widely applied in phytochemistry and phytotherapy for purposes such as quality control of plants, characterization and classification of medicinal plants (Fu et al 2009;Ge et al 2008;Han et al 2008;Yang et al 2007) and studies of plant response to stress and plant-host interactions (Allwood et al 2008;Shulaev et al 2008). Metabolomics approaches prove useful to distinguish among individual signals and thus might serve in biomarker discovery, for the identification of new chemotaxonomic characters in systematics, or as indicators of short-term environmental changes in ecology studies (Fiehn 2002;Wolfender et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…This way the remaining samples constituted sets which have robust class memberships. However, the most popular clustering technique applied on herbal fingerprints is Hierarchical Clustering Analysis (HCA) displaying several different applications [44,101,122,[206][207][208][209][210][211]. In Reference [210], HCA was applied to identify the flavones, flavonoids and triterpenoids significantly contributing to the classification of six badges of sea buckthorn berries extracts, while in reference [211] the authors questioned the validity of the available monographs for the identification and differentiation of rhizoma Chuanxiong and rhizoma Ligustici based on the results of, amongst others, HCA.…”
Section: Clusteringmentioning
confidence: 99%
“…Afterwards, the extract was evaporated to dryness and then dissolved in 5 ml methanol. Samples were analyzed using an Agilent HPLC-MS system (Agilent 1200 surveyor autosampling system; Agilent 6300 ion trap mass spectrometer via an electrospray ion source, USA) according to Han et al (2008), with some modifications. Source settings used for the ionization of constituents were as follows: nebulizer pressure, 30.00 psi; drying gas, 12.0 l min −1 ; capillary voltage, 3500 V; gas temperature, 350°C; fragmentor voltage, 200 V; and skimmer voltage, 60 V. Nitrogen (>99.99 %) and He (>99.99 %) were used as sheath and damping gases, respectively.…”
Section: Hplc-ms and Esi-ms Nmentioning
confidence: 99%
“…[M+CH 3 COO] − is 874.3, so peak 4 was deduced as pseudostellarin G. The standardized HPLC-ESI-MS n shows high stability and reproducibility and thus can be used effectively for the screening analysis or quality assessment of the herb or its derived products [15]. Based on these reasons, a reliable HPLC-ESI-MS n method for the identification and quality evaluation of the P. heterophylla adventitious roots was established.…”
Section: Lc-ms N Analysis Of Adventitious Rootsmentioning
confidence: 99%