Oxyimperatorin
Oxyimperatorin is a natural product from Angelica dahurica.
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service@chemfaces.com
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Providing storage is as stated on the product vial and the vial is kept tightly sealed, the product can be stored for up to
24 months(2-8C).
Wherever possible, you should prepare and use solutions on the same day. However, if you need to make up stock solutions in advance, we recommend that you store the solution as aliquots in tightly sealed vials at -20C. Generally, these will be useable for up to two weeks. Before use, and prior to opening the vial we recommend that you allow your product to equilibrate to room temperature for at least 1 hour.
Need more advice on solubility, usage and handling? Please email to: service@chemfaces.com
The packaging of the product may have turned upside down during transportation, resulting in the natural compounds adhering to the neck or cap of the vial. take the vial out of its packaging and gently shake to let the compounds fall to the bottom of the vial. for liquid products, centrifuge at 200-500 RPM to gather the liquid at the bottom of the vial. try to avoid loss or contamination during handling.
Environ Toxicol.2023, 38(5):1174-1184.
Fermentation2023, 9(10), 889
J Appl Microbiol.2022, 132(2):949-963.
Int J Mol Sci.2020, 21(6):2190.
Plant Physiol Biochem.2019, 144:355-364
Theranostics.2023, 13(9):3103-3116.
Life Sci.2018, 209:498-506
Foods.2024, 13(19):3092.
Korea Food Research Institute2024, 4798082
Chem. of Vegetable Raw Materials2020, 97-105
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《LISHIZHEN MEDICINE AND Materia MEDICA RESEARCH》 2006-02
Forecasting the Extraction of Coumarins in Angelica dahurica by Supercritical CO_2 with BP Neural Network[Reference:
WebLink]
To predict the extraction results of coumarins in Angelica dahurica by supercritical CO_2 using back-propagation neural network.
METHODS AND RESULTS:
BP neural network model was established by taking extraction pressure,temperature and time as well as separation pressure and pulverized degree as the inputs of network and the contents of Oxyimperatorin,imperatorin and the overall coumarins in the extract as outputs of neural network.BP network was trained with Orthogonal experimental results. A 5×4×3 neural network has been set up.The forecasted profiles based on BP-NN model were closely similar to the target values.
CONCLUSIONS:
Orthogonal experimental results could be used to training BP-NN and the trained BP-NN could forecast the extraction results of active components in Chinese herb medicines.
