cis-MethylisoeugenolCAS# 6380-24-1 |
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Quality Control & MSDS
Number of papers citing our products
Chemical structure
3D structure
Cas No. | 6380-24-1 | SDF | Download SDF |
PubChem ID | 1549045 | Appearance | Liquid |
Formula | C11H14O2 | M.Wt | 178.2 |
Type of Compound | Phenylpropanoid | Storage | Desiccate at -20°C |
Solubility | Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc. | ||
Chemical Name | 1,2-dimethoxy-4-[(Z)-prop-1-enyl]benzene | ||
SMILES | CC=CC1=CC(=C(C=C1)OC)OC | ||
Standard InChIKey | NNWHUJCUHAELCL-PLNGDYQASA-N | ||
Standard InChI | InChI=1S/C11H14O2/c1-4-5-9-6-7-10(12-2)11(8-9)13-3/h4-8H,1-3H3/b5-4- | ||
General tips | For obtaining a higher solubility , please warm the tube at 37 ℃ and shake it in the ultrasonic bath for a while.Stock solution can be stored below -20℃ for several months. We recommend that you prepare and use the solution on the same day. However, if the test schedule requires, the stock solutions can be prepared in advance, and the stock solution must be sealed and stored below -20℃. In general, the stock solution can be kept for several months. Before use, we recommend that you leave the vial at room temperature for at least an hour before opening it. |
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About Packaging | 1. The packaging of the product may be reversed during transportation, cause the high purity compounds to adhere to the neck or cap of the vial.Take the vail out of its packaging and shake gently until the compounds fall to the bottom of the vial. 2. For liquid products, please centrifuge at 500xg to gather the liquid to the bottom of the vial. 3. Try to avoid loss or contamination during the experiment. |
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Shipping Condition | Packaging according to customer requirements(5mg, 10mg, 20mg and more). Ship via FedEx, DHL, UPS, EMS or other couriers with RT, or blue ice upon request. |
cis-Methylisoeugenol Dilution Calculator
cis-Methylisoeugenol Molarity Calculator
1 mg | 5 mg | 10 mg | 20 mg | 25 mg | |
1 mM | 5.6117 mL | 28.0584 mL | 56.1167 mL | 112.2334 mL | 140.2918 mL |
5 mM | 1.1223 mL | 5.6117 mL | 11.2233 mL | 22.4467 mL | 28.0584 mL |
10 mM | 0.5612 mL | 2.8058 mL | 5.6117 mL | 11.2233 mL | 14.0292 mL |
50 mM | 0.1122 mL | 0.5612 mL | 1.1223 mL | 2.2447 mL | 2.8058 mL |
100 mM | 0.0561 mL | 0.2806 mL | 0.5612 mL | 1.1223 mL | 1.4029 mL |
* Note: If you are in the process of experiment, it's necessary to make the dilution ratios of the samples. The dilution data above is only for reference. Normally, it's can get a better solubility within lower of Concentrations. |
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[Comparative Study on Quality of Volatile Oil of Acori Tatarinowii Rhizoma from Two Habitats].[Pubmed:26672346]
Zhong Yao Cai. 2015 Apr;38(4):770-3.
OBJECTIVE: To compare the quality of volatile oil of Acori Tatarinowii Rhizoma from Guangxi and Sichuan. METHODS: The volatile oil was extracted from Acori Tatarinowii Rhizoma by using steam distillation method, and analyzed by GC-MS. Peak area normalization method was used for calculating the relative percentage contents of chemical constituents, and hierarchical cluster analysis was used for classifying the 20 batches of samples by their relative contents of the main components that were methyleugenol, cis-Methylisoeugenol, gamma-asarone, beta-asarone and alpha-asarone. RESULTS: The average extraction rate of 10 batches of volatile oil in Acori Tatarinowii Rhizoma from Guangxi was 1. 61%, and 10 batches of samples from Sichuan was 1. 72%. The relative percentage contents of five main components totaled 78. 19% and 88. 84%, respectively. By t-test, there was no statistical difference between samples from Guangxi and Sichuan. In the hierarchical cluster analysis,10 batches of samples from Guangxi and 10 batches of samples from Sichuan could respectively be classified into four clusters subcategories and five clusters subcategories, while the mean of samples of Guangxi and the mean of samples of Sichuan respectively analyzed with 20 batches of the two habitats that all were classified in the same clusters subcategories. The results of similarity showed that the correlation coefficients of 8 batches in 10 batches of samples from Guangxi were over 0. 9, while 1 batch was only 0. 466. The correlation coefficients of 7 batches in 10 batches of samples from Sichuan had were over 0. 9, while 1 batch was only 0. 069. The correlation coefficients between the mean of samples of Guangxi and the mean of samples of Sichuan was 0. 996. CONCLUSION: Quality of the different batches of volatile oil from Acori Tatarinowii Rhizoma have significant differences, but it has no obvious correlation with the habitats.
[Study on GC-MS fingerprint analysis in rhizome of volatile oil of Acorus tatarinowii].[Pubmed:15506289]
Zhongguo Zhong Yao Za Zhi. 2004 Aug;29(8):764-8.
OBJECTIVE: To establish the method of fingerprint analysis on volatile oil in rhizome of Acorus tatarinowii by GC-MS, and to study the main characteristic components. METHOD: The main components of 10 samples were determined by GC-MS. RESULT: The injector temperature was 250 degrees C. The interface temperature was 230 degrees C. The column flow was 1.3 mL x min(-1). The column pressure was 80 kPa. The detector volt was 1.4 kV. The temperature rate was 3 degrees C x min(-1). And the main characteristic components were composed of the methyleugenol (2.13%), cis-Methylisoeugenol (4.48%), trans-methylisoeugenol (0.82%), gamma-asarone (4.51%), beta-asarone (66.15%), alpha-asarone (6.35%). And the RSD of precision and reproducibility and stability was almost in the range of 5%. CONCLUSION: The method is reliable, accurate and can be used for fingerprint analysis of volatile oil of Acorus tatarinowii.