Licoricesaponin G2
(Synonyms: 甘草皂苷G2) 目录号 : GC36455
Licoricesaponin G2 是一种从 Glycyrrhiza aspera 中分离的五环三萜类化合物。
Cas No.:118441-84-2
Sample solution is provided at 25 µL, 10mM.
Quality Control & SDS
- View current batch:
- Purity: >98.00%
- COA (Certificate Of Analysis)
- SDS (Safety Data Sheet)
- Datasheet
Licoricesaponin G2 is a pentacyclic triterpenoid isolated from Glycyrrhiza aspera[1].
[1]. Inami K, et al. Antimutagenic components in Glycyrrhiza against N-methyl-N-nitrosourea in the Ames assay. Nat Prod Res. 2017 Mar;31(6):691-695.
| Cas No. | 118441-84-2 | SDF | |
| 别名 | 甘草皂苷G2 | ||
| Canonical SMILES | C[C@@]1([C@@]2([H])[C@@]3([C@@]([C@](C)([C@@H](O[C@@]4([H])[C@@H]([C@H]([C@H](O)[C@@H](C(O)=O)O4)O)O[C@]5([H])O[C@@H]([C@@H](O)[C@H](O)[C@H]5O)C(O)=O)CC3)CO)([H])CC1)C)[C@]6(C([C@@]7([H])[C@](C)(CC[C@@](C(O)=O)(C)C7)CC6)=CC2=O)C | ||
| 分子式 | C42H62O17 | 分子量 | 838.93 |
| 溶解度 | Soluble in DMSO | 储存条件 | Store at -20°C |
| General tips | 请根据产品在不同溶剂中的溶解度选择合适的溶剂配制储备液；一旦配成溶液，请分装保存，避免反复冻融造成的产品失效。 储备液的保存方式和期限：-80°C 储存时，请在 6 个月内使用，-20°C 储存时，请在 1 个月内使用。 为了提高溶解度，请将管子加热至37℃，然后在超声波浴中震荡一段时间。 |
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| Shipping Condition | 评估样品解决方案：配备蓝冰进行发货。所有其他可用尺寸：配备RT，或根据请求配备蓝冰。 | ||
| 制备储备液 | |||
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1 mg | 5 mg | 10 mg |
| 1 mM | 1.192 mL | 5.96 mL | 11.9199 mL |
| 5 mM | 0.2384 mL | 1.192 mL | 2.384 mL |
| 10 mM | 0.1192 mL | 0.596 mL | 1.192 mL |
| 第一步：请输入基本实验信息（考虑到实验过程中的损耗，建议多配一只动物的药量） | ||||||||||
| 给药剂量 | mg/kg |  |
动物平均体重 | g | |
每只动物给药体积 | ul | |
动物数量 | 只 |
| 第二步：请输入动物体内配方组成（配方适用于不溶于水的药物；不同批次药物配方比例不同，请联系GLPBIO为您提供正确的澄清溶液配方） | ||||||||||
| % DMSO % % Tween 80 % saline | ||||||||||
| 计算重置 | ||||||||||
计算结果:
工作液浓度： mg/ml；
DMSO母液配制方法： mg 药物溶于 μL DMSO溶液（母液浓度 mg/mL，
体内配方配制方法：取 μL DMSO母液，加入 μL PEG300，混匀澄清后加入μL Tween 80，混匀澄清后加入 μL saline，混匀澄清。
1. 首先保证母液是澄清的；
2.
一定要按照顺序依次将溶剂加入，进行下一步操作之前必须保证上一步操作得到的是澄清的溶液，可采用涡旋、超声或水浴加热等物理方法助溶。
3. 以上所有助溶剂都可在 GlpBio 网站选购。
Antimutagenic components in Glycyrrhiza against N-methyl-N-nitrosourea in the Ames assay
Nat Prod Res 2017 Mar;31(6):691-695.PMID:27466044DOI:10.1080/14786419.2016.1212031.
Antimutagenesis against N-nitroso compounds contribute to prevention of human cancer. We have found that Glycyrrhiza aspera ethanolic extract exhibits antimutagenic activity against N-methyl-N-nitrosourea (MNU) using the Ames assay with Salmonella typhimurium TA1535. In the present study, eight purified components from Glycyrrhiza, namely glabridin, glycyrrhetinic acid, glycyrrhizin, licochalcone A, licoricesaponin H2, Licoricesaponin G2, liquiritigenin and liquiritin were evaluated for their antimutagenicity against MNU in the Ames assay with S. typhimurium TA1535. Glycyrrhetinic acid, glycyrrhizin, Licoricesaponin G2, licoricesaponin H2 and liquiritin did not show the antimutagenicity against MNU in S. typhimurium TA1535. Glabridin, licochalcone A and liquiritigenin reduced revertant colonies derived from MNU in S. typhimurium TA1535 without showing cytotoxic effects, indicating that these compounds possess antimutagenic activity against MNU. The inhibitory activity of glabridin and licochalcone A was more effective than that of liquiritigenin. Thus, Glycyrrhiza contains antimutagenic components against DNA alkylating, direct-acting carcinogens.
Screening of metabolic markers present in Oxytropis by UHPLC-Q-TOF/MS and preliminary pharmacophylogenetic investigation
Front Plant Sci 2022 Oct 20;13:958460.PMID:36340402DOI:10.3389/fpls.2022.958460.
Plants belonging to the Oxytropis genus, family Leguminosae, are found throughout the world, with about 80 species mainly distributed in northwest and northeast China. The plants have medicinal properties and many plants have been used as folk medicine for the treatment of colds, inflammation of carbuncle swelling, pain, and different types of bleeding. In recent years, due to the reduced availability of wild resources and increased clinical demand, additional Oxytropis species have been used in Mongolian medicine. This study explored the medicinal potential of four Oxytropis species, investigating their phylogeny, chemical components, and pharmacological activities. Oxytropis myriophylla (Pall) DC., Oxytropis hirta Bunge, and Oxytropis bicolor Bge. were found to be closely related at the taxonomic level. While previous investigations on the bioactive constituents of Oxytropis have been limited and have concentrated largely on flavonoids and saponins, the present study established a novel UHPLC-Q-TOF/MS based on metabolite profiling to comprehensively analyze the chemical composition of the four Oxytropis species and to identify marker compounds. A total of 75 compounds were identified from the four species, with 23 identified as characteristic marker components. Twenty-six marker compounds were identified in O. myriophylla from different geographical regions. Analysis of pharmacological activity showed that extracts of O. myriophylla and O. hirta had stronger anti-inflammatory activity than the extracts from the other species. The relationships between the chemical components, traditional curative uses, and pharmacological activities were analyzed to provide a preliminary documentation of the pharmacophylogenetic characteristics of the Oxytropis family as a whole. Several marker compounds, including Licoricesaponin G2, licoricesaponin J2, and glycyrrhizic acid found in O. hirta were found to have effective anti-inflammatory activity, consistent with the traditional application of reducing swelling and healing wounds. This preliminary investigation into the pharmacophylogeny of the genus Oxytropis will contribute to the conservation and exploitation of the medicinal resources of this genus.
The qualitative and quantitative assessment of xiaochaihu granules based on e-eye, e-nose, e-tongue and chemometrics
J Pharm Biomed Anal 2021 Oct 25;205:114298.PMID:34428739DOI:10.1016/j.jpba.2021.114298.
Xiaochaihu granules (XCHG), a famous Chinese patent medicine with high sales, have more than 100 approved number by China Food and Drug Administration (CFDA). Therefore, it is important to evaluate the quality of XCHG from different pharmaceutical companies. The data fusion of electronic eye (e-eye), electronic nose (e-nose) and electronic tongue (e-tongue) combined with chemometrics were applied for qualitative identification and quantitative prediction of XCHG quality. Firstly, main chemical constituents, such as saikosaponin b2, baicalin and glycyrrhizin were quantified with ultra-high-performance liquid chromatography (UHPLC). Secondly, the characteristic features of odor, color, and taste of XCHG were measured by e-nose, e-eye and e-tongue, and the Pearson correlation between constituents and e-signals was analyzed. Thirdly, partial least squares discrimination analysis (PLS-DA) of e-eye, e-nose and e-tongue were classified by the hierarchical clustering analysis (HCA) results of the main constituents of XCHG separately. Finally, partial least-squares regression (PLSR) was used to build the prediction model between components and data fusion of e-eye, e-nose and e-tongue. The results showed that saikosaponin b2, baicalin and glycyrrhizin were the three main components in XCHG samples. in which saikosaponin b2 ranged from 0.280 to 2.186 mg (relative standard deviation (RSD), 62.10 %), baicalin range from 25.883 mg to 49.108 mg (RSD, 16.64 %), and glycyrrhizin ranged from 0.897 mg to 6.052 mg (RSD, 40.32 %) of 31 batches of XCHG in each bag. Pearson correlation results showed that the main constituents were related to the core e-signals of XCHG, such as Eab, bitterness and R2 (odor sensitive to nitrogen oxide). Data fusion of e-eye, e-nose and e-tongue with main constitutes of XCHG using the PLSR model showed that the root mean square error (RMSE) values were 0.320 and 0.090 for saikosaponin b2 and Licoricesaponin G2 (P < 0.000). The saikosaponin b2 and Licoricesaponin G2 contents in XCHG could be predicted with integrated data of e-nose, e-eye, and e-tongue using the PLSR model.
[Fingerprint analysis and Q-marker prediction of processed liquorice products]
Zhongguo Zhong Yao Za Zhi 2020 Nov;45(21):5209-5218.PMID:33350237DOI:10.19540/j.cnki.cjcmm.20200820.302.
Licorice has long been regarded as one of the most popular herbs, with a very wide clinical application range. Whether being used alone or as an ingredient in prescription, it has an important role which cannot be ignored. However, the efficacy and chemical constituents of licorice will change after honey-processing. Therefore, it is necessary to find quality markers before and after honey-processing to lay the foundation for a comprehensive evaluation of the differences between raw and processed licorice pieces. HPLC-DAD was employed to establish fingerprints of raw and processed licorice. Multivariate statistical analysis methods including principal component analysis(PCA) and orthogonal partial least squares discrimination analysis(OPLS-DA) were applied to screen out the differential components before and after processing of licorice. Based on network pharmacology, the targets and pathways corresponding to the differential components were analyzed with databases such as Swiss Target Prediction and Metascape, and the "component-target-pathway" diagram was constructed with Cytoscape 3.6.0 software to predict the potential quality markers. A total of 17 common peaks were successfully identified in the established fingerprint, and seven differential components were selected as potential quality markers(Licoricesaponin G2, glycyrrhizic acid, liquiritigenin, liquiritin, isoliquiritin, liquiritin apioside and isoliquiritigenin). The HPLC fingerprint method proposed in this study was efficient and feasible. The above seven differential chemical components screened out as potential quality markers of licorice can help to improve and promote the overall quality. These researches offer more sufficient theoretical basis for scientific application of licorice and its corresponding products.