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Epimedin B

$225

Brand : BIOFRON
Catalogue Number : BF-E2010
Specification : 98%
CAS number : 110623-73-9
Formula : C38H48O19
Molecular Weight : 808.78
PUBCHEM ID : 5748393
Volume : 20mg

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Catalogue Number

BF-E2010

Analysis Method

HPLC,NMR,MS

Specification

98%

Storage

2-8°C

Molecular Weight

808.78

Appearance

White crystalline powder

Botanical Source

Epimedium brevicornu

Structure Type

Flavonoids

Category

Standards;Natural Pytochemical;API

SMILES

CC1C(C(C(C(O1)OC2=C(OC3=C(C2=O)C(=CC(=C3CC=C(C)C)OC4C(C(C(C(O4)CO)O)O)O)O)C5=CC=C(C=C5)OC)OC6C(C(C(CO6)O)O)O)O)O

Synonyms

Epmedin B/4H-1-Benzopyran-4-one, 3-[(6-deoxy-2-O-β-D-xylopyranosyl-α-L-mannopyranosyl)oxy]-7-(β-D-glucopyranosyloxy)-5-hydroxy-2-(4-methoxyphenyl)-8-(3-methyl-2-buten-1-yl)-/3-{[6-Deoxy-2-O-(β-D-xylopyranosyl)-α-L-mannopyranosyl]oxy}-5-hydroxy-2-(4-methoxyphenyl)-8-(3-methyl-2-buten-1-yl)-4-oxo-4H-chromen-7-yl β-D-glucopyranoside/3-{[6-Deoxy-2-O-(β-D-xylopyranosyl)-α-L-mannopyranosyl]oxy}-5-hydroxy-2-(4-methoxyphenyl)-8-(3-methylbut-2-en-1-yl)-4-oxo-4H-chromen-7-yl β-D-glucopyranoside/EpimedinB/4H-1-Benzopyran-4-one, 3-((6-deoxy-2-O-β-D-xylopyranosyl-α-L-mannopyranosyl)oxy)-7-(β-D-glucopyranosyloxy)-5-hydroxy-2-(4-methoxyphenyl)-8-(3-methyl-2-butenyl)-/Epimedin B

IUPAC Name

3-[(2S,3R,4R,5R,6S)-4,5-dihydroxy-6-methyl-3-[(2S,3R,4S,5R)-3,4,5-trihydroxyoxan-2-yl]oxyoxan-2-yl]oxy-5-hydroxy-2-(4-methoxyphenyl)-8-(3-methylbut-2-enyl)-7-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxychromen-4-one

Density

1.6±0.1 g/cm3

Solubility

Methanol; DMSO

Flash Point

325.6±27.8 °C

Boiling Point

1066.1±65.0 °C at 760 mmHg

Melting Point

InChl

InChI=1S/C38H48O19/c1-14(2)5-10-18-21(53-37-31(49)28(46)26(44)22(12-39)54-37)11-19(40)23-27(45)34(32(55-33(18)23)16-6-8-17(50-4)9-7-16)56-38-35(29(47)24(42)15(3)52-38)57-36-30(48)25(43)20(41)13-51-36/h5-9,11,15,20,22,24-26,28-31,35-44,46-49H,10,12-13H2,1-4H3/t15-,20+,22+,24-,25-,26+,28-,29+,30+,31+,35+,36-,37+,38-/m0/s1

InChl Key

OCZZCFAOOWZSRX-LRHLXKJSSA-N

WGK Germany

RID/ADR

HS Code Reference

2938900000

Personal Projective Equipment

Correct Usage

For Reference Standard and R&D, Not for Human Use Directly.

Meta Tag

provides coniferyl ferulate(CAS#:110623-73-9) MSDS, density, melting point, boiling point, structure, formula, molecular weight etc. Articles of coniferyl ferulate are included as well.>> amp version: coniferyl ferulate

PMID

23360129

Abstract

In this work, the metabolite profiles of epimedin B in rat feces, bile, urine, and plasma were qualitatively investigated, and the possible metabolic pathways of epimedin B were subsequently proposed. After oral administration of epimedin B at a single dose of 80 mg/kg, rat biological samples were collected and pretreated by protein precipitation. Then, these pretreated samples were injected into an Acquity ultraperformance liquid chromatography BEH C₁₈ column with mobile phase consisting of 0.1% formic acid-water and 0.1% formic acid-acetonitrile and detected by ultraperformance liquid chromatography/quadrupole-time-of-flight mass spectrometry. In all, 43 metabolites were identified in the biosamples. Of these, 13, including F5, F7, F16-F18, D5-D7, D9, N5, N7, M1, and M3, were to our knowledge reported for the first time. The results indicated that epimedin B was metabolized via desugarization, dehydrogenation, hydrogenation, hydroxylation, demethylation, glucuronidation, and glycosylation pathways in vivo. Specific hydrolysis of 7-O-glucosides in the gut lumen and glucuronic acid conjugation in the liver were considered as the main physiologic processes of epimedin B. This study revealed the possible metabolite profiles of epimedin B in rats.

Title

Metabolite Profiles of Epimedin B in Rats by Ultraperformance Liquid Chromatography/Quadrupole-Time-of-Flight Mass Spectrometry

Author

Li Cui 1 , E Sun, Zhenhai Zhang, Qian Qian, Xiaobin Tan, Fengjuan Xu, Xiaobin Jia

Publish date

2013 Apr 17

PMID

28656123

Abstract

A simple, sensitive, and specific liquid chromatography tandem mass-spectrometric method was developed and validated for the determination of epimedin B in rat plasma and tissue samples. After being processed with a protein precipitation method, these samples were separated on an Agilent Eclipse XDB-C18 column with an isocratic mobile phase consisting of acetonitrile and 0.1% formic acid aqueous solution (32 : 68, v/v). The calibration curve of epimedin B was linear over the concentration range from 1 to 500 ng/mL in plasma and tissue homogenate. The method was then applied to pharmacokinetic and tissue distribution studies after a single oral administration of Herba Epimedii extract to SD rats. Results showed that epimedin B reached the plasma peak concentration at 0.4 h and the terminal elimination half-life was 1.6 h in rat plasma, and the plasma area under the curve from time zero to infinity (AUC0-∞ ) was 14.35 μg/L·h. The concentration distribution of epimedin B in rat tissue was in the following order: liver > ovary > womb > lung > kidney > spleen > heart > brain, indicating that the compound could be widely distributed in rat, and the reproductive system may be the principal target of epimedin B for female rat.

Title

Determination of Epimedin B in Rat Plasma and Tissue by LC-MS/MS: Application in Pharmacokinetic and Tissue Distribution Studies

Author

Qianru Feng 1 , Shunjun Xu 2 , Jiejing Yu 1 , Shuai Sun 2 , Liu Yang 1 2

Publish date

2017

PMID

27566922

Abstract

In this work, near infrared (NIR) spectroscopy was used in combination with chemometrics to determine the epimedin A, epimedin B, epimedin C, icariin, and moisture contents of Herba Epimedii. The variable selection method genetic algorithm (GA) and regression tool support vector machine (SVM) were used to improve the model performance. Four different calibration models, namely Full-PLS, GA-PLS, Full-SVM, and GA-SVM, were established, and their performances in terms of prediction accuracy and model robustness were systemically studied and compared. In conclusion, the performances of the models based on the efficient variables selected through GA were better than those based on full spectra, and the nonlinear models were superior over the linear models. In addition, the GA-SVM model demonstrated the optimal performance in predicting five quality parameters (viz. epimedin A, epimedin B, epimedin C, icariin, and moisture). For GA-SVM, the determination coefficient (Rp2), root-mean-square error (RMSEP), and residual predictive deviation (RPD) for the prediction set were 0.9015, 0.0268%, and 2.20 for epimedin A; 0.9089, 0.0656%, and 3.08 for epimedin B; 0.9056, 0.1787%, and 3.18 for epimedin C; 0.8192, 0.0657%, and 2.26 for icariin; and 0.9367, 0.2062%, and 4.12 for moisture, correspondingly. Results indicated that NIR spectroscopy coupled with GA-SVM calibration can be used as a reliable alternative strategy to measure the epimedin A, epimedin B, epimedin C, icariin, and moisture contents of Herba Epimedii because this technique is fast, economic, and nondestructive compared with traditional chemical methods.

KEYWORDS

Genetic algorithm (GA); Herba Epimedii; Near infrared spectroscopy; Rapid measurement; Support vector machine (SVM) regression.

Title

Rapid Measurement of Epimedin A, Epimedin B, Epimedin C, Icariin, and Moisture in Herba Epimedii Using Near Infrared Spectroscopy

Author

Yue Yang 1 , Xuesong Liu 1 , Weili Li 2 , Ye Jin 1 , Yongjiang Wu 1 , Jiyu Zheng 2 , Wentao Zhang 2 , Yong Chen 3

Publish date

2017 Jan 15