Neotheaflavin
(Synonyms: 新茶黄素) 目录号 : GC61124
Neotheaflavin，来自红茶，可以抑制胰腺脂肪酶。
Cas No.:36451-14-6
Sample solution is provided at 25 µL, 10mM.
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Quality Control & SDS
- View current batch:
- Purity: >98.00%
- COA (Certificate Of Analysis)
- SDS (Safety Data Sheet)
- Datasheet
Neotheaflavin, from black tea, inhibits pancreatic lipase[1].
[1]. Jin Jing, et al. Prediction of Chinese green tea ranking by metabolite profiling using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS). Food Chem. 2017 Apr 15;221:311-316.
| Cas No. | 36451-14-6 | SDF | |
| 别名 | 新茶黄素 | ||
| Canonical SMILES | OC1=C(C2=O)C(C=C([C@H]3OC4=CC(O)=CC(O)=C4C[C@H]3O)C=C2O)=C([C@H]5OC6=CC(O)=CC(O)=C6C[C@@H]5O)C=C1O | ||
| 分子式 | C29H24O12 | 分子量 | 564.49 |
| 溶解度 | 储存条件 | -20°C, protect from light | |
| 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 | 1.7715 mL | 8.8576 mL | 17.7151 mL |
| 5 mM | 0.3543 mL | 1.7715 mL | 3.543 mL |
| 10 mM | 0.1772 mL | 0.8858 mL | 1.7715 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。
Prediction of Chinese green tea ranking by metabolite profiling using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS)
Food Chem 2017 Apr 15;221:311-316.PMID:27979208DOI:10.1016/j.foodchem.2016.10.068
Metabolomics profiling provides comprehensive picture of the chemical composition in teas therefore may be used to assess tea quality objectively and reliably. In the present experiment, water and methanol extracts of green teas from China were analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) with the objectives to establish a model for quality prediction and to identify potential marker metabolites. The blindly evaluated sensory score of green teas was predicted with excellent power (R2=0.87 and Q2=0.82) and accuracy (RMSEP=1.36) by a partial least-squares (PLS) regression model based on water extract. By contrast, methanol extract failed to reasonably predict the sensory scores. The levels in water extract of Neotheaflavin, Neotheaflavin 3-O-gallate, trigalloyl-β-d-glucopyranose, myricetin 3,3'-digalactoside, catechin-(4α→8)-epigallocatechin and kaempferol were significantly larger whereas those of theogallin and gallocatechin were less in the low (score<87) than in the high score (⩾90) group.