2017
DOI: 10.1016/j.phytol.2017.04.034
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Chromatographic profiling of Pancharishta at different stages of its development using HPTLC, HPLC, GC–MS and UPLC–MS

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Cited by 22 publications
(10 citation statements)
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“…Extract at a dose of 100 mg/kg was orally administered and blood samples were collected at different time intervals (0, 1, 2, 4, 8, and 12 h) from a retro-orbital vein. Collected blood samples were subjected to centrifuge at 4,000 rpm for 10 min and serum was separated ( Khan et al, 2016a , b ).…”
Section: Methodsmentioning
confidence: 99%
“…Extract at a dose of 100 mg/kg was orally administered and blood samples were collected at different time intervals (0, 1, 2, 4, 8, and 12 h) from a retro-orbital vein. Collected blood samples were subjected to centrifuge at 4,000 rpm for 10 min and serum was separated ( Khan et al, 2016a , b ).…”
Section: Methodsmentioning
confidence: 99%
“…To derivatize a range of functional metabolites, two stages are involved in [79]. First, an oxime is formed, followed by trimethylsilylation [33,80]. The derivatization process can be hindered both by extensive sample drying [33] and the presence of water [76].…”
Section: Gc-msmentioning
confidence: 99%
“…With the advancement of MS-imaging techniques, including matrix-assisted laser desorption (MALDI) and desorption electrospray (DESI) ionization platforms combined with high-resolution MS, it is feasible to conduct in-situ metabolome analysis (Blanksby and Mitchell 2010). Therefore, for liquid phase separations, ultrahigh performance liquid chromatography (UPLC) and high-performance-LC (HPLC) are used for metabolite analysis in various applications; these are a robust analytical method that permits the discovery of plant metabolites when it is integrated with another technique like MS (Theodoridis et al 2012;Khan et al 2017). A recent method for multi-component analysis is the metabolic profiling that is employed for the examination of acids and urinary drugs coupled with GC/MS.…”
Section: Low Molecular Weight Metabolitesmentioning
confidence: 99%