2018
DOI: 10.1016/j.foodchem.2017.10.151
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UPLC-QTOF-MS/MS-guided isolation and purification of sulfur-containing derivatives from sulfur-fumigated edible herbs, a case study on ginseng

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Cited by 31 publications
(15 citation statements)
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“…Untargeted metabolomics can be employed to analyze datasets when little is known about the composition of the sample set and when the variance between samples could be attributed to several sources [Kellogg, 2016; Tao, 2018; Cappello, 2018]. Metabolomics can be used to distinguish one group of samples from another based on unique chemical profiles, and has been applied to a wide scope of biological and chemical applications, including identification of toxicological or disease biomarkers [Sun, 2018], natural product drug discovery [Kellogg, 2016], identification of secondary metabolites in Gram negative bacteria [Depke, 2017] and characterization of botanicals (black tea, green tea, ginseng, coffee) [Guo, 2018; Kellogg, 2017; Lu, 2013; Souard, 2018; Zhang, 2018].…”
Section: Introductionmentioning
confidence: 99%
“…Untargeted metabolomics can be employed to analyze datasets when little is known about the composition of the sample set and when the variance between samples could be attributed to several sources [Kellogg, 2016; Tao, 2018; Cappello, 2018]. Metabolomics can be used to distinguish one group of samples from another based on unique chemical profiles, and has been applied to a wide scope of biological and chemical applications, including identification of toxicological or disease biomarkers [Sun, 2018], natural product drug discovery [Kellogg, 2016], identification of secondary metabolites in Gram negative bacteria [Depke, 2017] and characterization of botanicals (black tea, green tea, ginseng, coffee) [Guo, 2018; Kellogg, 2017; Lu, 2013; Souard, 2018; Zhang, 2018].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, there are currently neither reports on the formation of new sulfur-fumigation markers during the sulfur fumigation process of TR nor reports on the regulation of the chemical conversion of different levels of sulfur fumigation. At present, non-targeted metabolomics and targeted metabolomics based on LC-QTOF-MS or LC-QTRAP-MS have become more mature in the analysis of the chemical composition of Chinese herbal medicines and the mining of quality control indicators ( Ma et al., 2014 ; Li et al., 2016 ; Dai et al., 2018 ; Wei et al., 2018 ; Zhang et al., 2018 ; Shengyun et al., 2019 ; Jiang et al., 2020 ). Specifically, broadly targeted metabolomics is a detection technology that integrates the “extensiveness” of non-targeted metabolomics with the “accuracy” of targeted metabolomics ( Luo et al., 2018 ; Zhu et al., 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…Metabolites include carbohydrates, amino acids, nucleic acids, lipids, vitamins, organic acids, polyphenols, alkaloids, and inorganic species. A range of analytical techniques is applied, with either nuclear magnetic resonance (NMR), also known as magnetic resonance spectroscopy (MRS), or, more frequently, mass spectrometry (MS)-based platforms being routinely employed in assessing the metabolic fingerprint, the later method as a combination with other analysis techniques (i.e., gas-chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS) (2, 3), ultra-performance liquid-chromatography tandem mass spectrometry (UPLC–MS/MS) (4, 5), ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC/Q - TOF - MS) (6, 7), capillary electrophoresis (CE-MS) (8, 9) or matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) (10, 11) etc.) to overcome the limitations of MS, such as erroneous interpretation of the metabolomic analysis in presence of impurities or modest reproducibility of the method (12, 13).…”
Section: Introductionmentioning
confidence: 99%