Determination of Alkaloids and Flavonoids in Sophora flavescens by UHPLC-Q-TOF/MS

Dong, Yanyan; Jia, Guoxiang; Hu, Jingwen; Liu, Hui; Wu, Tingting; Yang, Shu; Li, Yubo; Cai, Ting

doi:10.1155/2021/9915027

Cited by 20 publications

(20 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1) Flavonoid Aglycones . The main cracking mode of flavonoids is the Retro-Diels–Alde (RDA) fragmentation mechanism, which can also eliminate small neutral molecular fragments, such as CH 3 (m/ z 15.0240 Da), O (m/ z 15.9949 Da), H 2 O (m/ z 18.0106 Da), CO (m/ z 27.9949 Da), CO 2 (m/ z 43.9898 Da), and other substituents on benzene ring [ 14 – 16 ]. Take isoflavones Eurycarpin A (C 20 H 18 O 5 , [M-H] − , P103) as an example, which is observed at m/ z 337.1090.…”

Section: Resultsmentioning

confidence: 99%

Phytochemical Analysis Using UPLC-MS/MS Combined with Network Pharmacology Methods to Explore the Biomarkers for the Quality Control of Lingguizhugan Decoction

Fan

et al. 2021

Evidence-Based Complementary and Alternative Medicine

View full text Add to dashboard Cite

As a classic TCM prescription, LGZG has been widely used in clinical prevention and treatment of heart failure, nonalcoholic fatty liver, and hyperlipidemia. However, there are few studies on chemical components in recent years, and the basis of quality evaluation is not sufficient. This study was to find the active ingredients of the Lingguizhugan decoction using UPLC-MS/MS and network pharmacology. By comparing the retention time and MS dates of the reference and self-building database, the cleavage rules of chemical composition whose mass errors are less than 1 ppm(FL less than 3 ppm) are analyzed. On this basis, a network pharmacology method was used to find biomarkers for quantitative analysis. The results show that 149 compounds were preliminaries identified or inferred, including 63 flavonoids, 30 triterpenes, 22 phenylpropanoids, 13 organic acids, 6 lactones, 5 alkaloids, 4 anthraquinones, and 6 other compounds. According to the network pharmacology results, 20 chemical constituents were selected as the biomarkers, which were determined simultaneously for the first time, including poricoic acid A, poricoic acid B, glycyrrhizic acid, glycyrrhetinic acid, liquiritin, isoliquiritin, liquiritigenin, isoliquiritin apioside, cinnamic acid, caffeic acid, neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, isochlorogenic acid A, B, and C, atractylenolide I, II, and III, and coumarin. The methodological results show that the linearity, stability, precision, repeatability, and recovery of the method are satisfactory. Therefore, a comprehensive quality assessment system for LGZG was established on the basis of a systematic study of chemical substances and network pharmacology, which provided an important reference for the foundation of pharmacological action and its mechanics.

show abstract

Section: Resultsmentioning

confidence: 99%

Phytochemical Analysis Using UPLC-MS/MS Combined with Network Pharmacology Methods to Explore the Biomarkers for the Quality Control of Lingguizhugan Decoction

Fan

et al. 2021

Evidence-Based Complementary and Alternative Medicine

View full text Add to dashboard Cite

show abstract

“…28 Calycosin exerts antitumour effect by upregulating the expression of miR-375. study, including isoflavones (14,16,17,19,20,23,27,30,33), flavones (15), pterocarpans (21,22,34), isoflavanes (24,25,37), and flavonols (11,12,13,26,28,31).…”

Section: Fragmentation Rules Of Flavonoid Compoundsmentioning

confidence: 99%

“…Characteristic fragment ions (CFs) refer to fragments that can be used to infer fragmentation types and species classification, and help to screen target components and filter homologs. In addition, the neutral fragments (NFs) lost during fragmentation also play an important role in screening species, as they reflect the m/z difference between parent and fragment ions in the high mass‐to‐charge fractions 13–15 …”

Section: Introductionmentioning

confidence: 99%

“…Compounds with the same parent nucleus type produce some of the same ion fragments during collisions by mass spectrometry. 15 With the rapid development of modern analysis technology and data post-processing technology, characteristic fragment filter (CFF) and neutral loss filter (NLF) represent two data post-processing technology methods, which can be used for further research on TCM. Characteristic fragment ions (CFs) refer to fragments that can be used to infer fragmentation types and species classification, and help to screen target components and filter homologs.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the neutral fragments (NFs) lost during fragmentation also play an important role in screening species, as they reflect the m/z difference between parent and fragment ions in the high mass-to-charge fractions. [13][14][15] Thus, UPLC-Q-TOF-MS combined with data post-processing technology is a beneficial way to achieve rapid screening and qualitative analysis of components in TCM.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rapid classification and identification of chemical components of Astragali radix by UPLC‐Q‐TOF‐MS

Liang

Yao

Ding

et al. 2022

Phytochemical Analysis

Self Cite

View full text Add to dashboard Cite

Introduction Pharmacological studies indicate that Astragalus (AR) has various bioactivities, including anticancer, antiaging, anti‐inflammatory, antiviral, and antioxidant activities. Flavonoids, saponins, amino acids, and polysaccharides are the main active components in AR. However, its complex chemical compositions bring certain difficulties to the analysis of this traditional Chinese medicine (TCM). Therefore, there is an urgent need to establish a method for rapid classification and identification of the chemical constituents in AR. Objective To establish a method for rapid classification and identification of the main components of flavonoids, saponins, and amino acids in AR. Methods The samples were analysed with ultra‐high‐performance liquid chromatography time‐of‐flight quadrupole mass spectrometry (UPLC‐Q‐TOF‐MS) and data post‐processing techniques. Firstly, fragmentation information was obtained in the positive and negative ion modes. Then, to realize the rapid classification and identification of AR components, the characteristic fragmentations (CFs) and neutral losses (NLs) were compared with information described in the literature. Results A total of 45 chemical constituents were successfully screened out, including 22 flavonoids, 13 saponins, and 10 amino acids. Conclusion The established method realised the efficient classification and identification of flavonoids, saponins, and amino acid compounds in AR, which provided a basis for further study on AR.

show abstract

Chemical profiling and mechanistic studies of Zhi‐Shang‐Feng granules against influenza virus by high‐performance liquid chromatography coupled with Q exactive focus hybrid quadrupole orbitrap high‐resolution mass spectrometry in combination with network pharmacology analysis

Xie,

Luo,

et al. 2023

J of Separation Science

View full text Add to dashboard Cite

Zhi‐Shang‐Feng Granules are used in the clinical treatment of influenza to relieve headaches, chills and fever, bronchitis, nasal congestion, neuralgia and other symptoms. To decipher the components responsible for therapeutic effects of Zhi‐Shang‐Feng g ranules against influenza virus, an analytical method based on high‐performance liquid chromatography coupled with Q exactive focus hybrid quadrupole orbitrap high resolution mass spectrometry was developed and the chemical profile of Zhi‐Shang‐Feng granules was characterized. Then, the identified components were used to conduct network pharmacological analysis and determine the potential mechanism of Zhi‐Shang‐Feng Granules. As a result, 177 compounds were putatively identified through comprehensive analysis by liquid chromatography coupled with high‐resolution mass spectrometry, of which 23 compounds were unambiguously confirmed with reference standards. Components in Zhi‐Shang‐Feng Granules were found to specifically act on different enzymes, G‐protein‐coupled receptors, ion channels and transporters in the immune, endocrine, nervous, and circulatory systems. The potential mechanism was related to several biological processes, including cell growth and death, pattern recognition receptor signalling, signalling by interleukins, and lipid metabolism. The combination of chemical profile characterization and network construction provided useful insight into the overall chemical composition of Zhi‐Shang‐Feng granules and revealed their potential anti‐infection, anti‐inflammatory and immunoregulatory mechanisms against influenza virus infected disease.

show abstract

Determination of Alkaloids and Flavonoids in Sophora flavescens by UHPLC-Q-TOF/MS

Cited by 20 publications

References 21 publications

Phytochemical Analysis Using UPLC-MS/MS Combined with Network Pharmacology Methods to Explore the Biomarkers for the Quality Control of Lingguizhugan Decoction

Phytochemical Analysis Using UPLC-MS/MS Combined with Network Pharmacology Methods to Explore the Biomarkers for the Quality Control of Lingguizhugan Decoction

Rapid classification and identification of chemical components of Astragali radix by UPLC‐Q‐TOF‐MS

Chemical profiling and mechanistic studies of Zhi‐Shang‐Feng granules against influenza virus by high‐performance liquid chromatography coupled with Q exactive focus hybrid quadrupole orbitrap high‐resolution mass spectrometry in combination with network pharmacology analysis

Contact Info

Product

Resources

About