2022
DOI: 10.1002/jssc.202200013
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Comprehensive profiling of Sanguisorba officinalis using offline two‐dimensional mixed‐mode liquid chromatography × reversed‐phase liquid chromatography, tandem high‐resolution mass spectrometry, and molecular network

Abstract: The profiling of natural products is important in modern biological sciences and new drug development. However, the separation and characterization of complex herbal extracts are significantly challenging for researchers in the biochemical field. Herein, an offline two-dimensional mixed-mode liquid chromatography × reversed-phase liquid chromatography system is developed. Our system exhibits high orthogonality and is composed of a newly prepared stationary phase in the first dimension and a traditional C 18 ph… Show more

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Cited by 12 publications
(8 citation statements)
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References 43 publications
(51 reference statements)
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“…In our recently published work, we developed an off‐line two‐dimensional mixed‐mode liquid chromatography reversed‐phase liquid chromatography coupled with high‐resolution mass spectrometry and a molecular network to exhaustively characterize the ESO. On the basis of their precise molecular mass, fragmentation patterns, and library searches, a total of 270 compounds were tentatively characterized (Dai et al, 2022). In this study, ESO was reanalyzed using the previously described technique, and the fingerprints of ESO and its representative compounds were determined (Figure 2 and Table 2).…”
Section: Resultsmentioning
confidence: 99%
“…In our recently published work, we developed an off‐line two‐dimensional mixed‐mode liquid chromatography reversed‐phase liquid chromatography coupled with high‐resolution mass spectrometry and a molecular network to exhaustively characterize the ESO. On the basis of their precise molecular mass, fragmentation patterns, and library searches, a total of 270 compounds were tentatively characterized (Dai et al, 2022). In this study, ESO was reanalyzed using the previously described technique, and the fingerprints of ESO and its representative compounds were determined (Figure 2 and Table 2).…”
Section: Resultsmentioning
confidence: 99%
“…When the similarity between two mass spectra is higher than a threshold, they are connected in a MN [22]. This method can infer unknown compounds from known compounds according to the similarity relationship between compounds in the network, thus offsetting the shortcomings of conventional identification methods [11,23]. To improve the quality of an MN, we used Mzmine software to generate a FBMN.…”
Section: Molecular Network Derivation Of Unknown Compoundsmentioning
confidence: 99%
“…These works of literature show that 2D-LC with MS improves separation efficiency, reduces ion suppression for subsequent MS detection, and enhances characterization. In addition, there are size exclusion chromatography × RPLC, ion exchange chromatography × RPLC, and other combination modes [11].…”
Section: Introductionmentioning
confidence: 99%
“…Modern research indicates that S. officinalis is abundant in chemical components, including tannins, triterpenes, flavonoids, and polysaccharides [8]. Tannins, in particular, represent the highest proportion, accounting for around 17% of the overall composition [9], which can be classified into three main categories: hydrolyzable tannins, condensed tannins, and complex tannins [6].…”
Section: Introductionmentioning
confidence: 99%