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Ingenol 5,20-acetonide 3-angelate

$780

  • Brand : BIOFRON

  • Catalogue Number : AV-H10081

  • Specification : 98%

  • CAS number : 87980-68-5

  • Formula : C28H38O6

  • Molecular Weight : 470.6

  • PUBCHEM ID : 92044470

  • Volume : 20mg

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Catalogue Number

AV-H10081

Analysis Method

HPLC,NMR,MS

Specification

98%

Storage

2-8°C

Molecular Weight

470.6

Appearance

Powder

Botanical Source

Structure Type

Category

Standards;Natural Pytochemical;API

SMILES

CC=C(C)C(=O)OC1C(=CC23C1(C4C(=CC(C2=O)C5C(C5(C)C)CC3C)COC(O4)(C)C)O)C

Synonyms

Ingenol-5,20-acetonide-3-O-angelate/(1S,4S,6R,13S,14R,16R,18R)-5-Hydroxy-3,8,8,15,15,18-hexamethyl-19-oxo-7,9-dioxapentacyclo[11.5.1.0.0.0]nonadeca-2,11-dien-4-yl (2Z)-2-methyl-2-butenoate/2-Butenoic acid, 2-methyl-, (6S,6aR,7aR,9R,9aS,12S,12bR)-6,6a,7a,8,9,12,12a,12b-octahydro-12a-hydroxy-2,2,7,7,9,11-hexamethyl-13-oxo-7H-6,9a-methano-4H/cyclopenta[9,10]cyclopropa[5,6]cyclodeca[1,2-d]-1,3-dioxin-12-yl ester, (2Z)-

IUPAC Name

[(1S,4S,6R,13S,14R,16R,18R)-5-hydroxy-3,8,8,15,15,18-hexamethyl-19-oxo-7,9-dioxapentacyclo[11.5.1.01,5.06,11.014,16]nonadeca-2,11-dien-4-yl] (Z)-2-methylbut-2-enoate

Applications

Ingenol-5,20-acetonide-3-O-angelate is a natural compound.

Density

1.2±0.1 g/cm3

Solubility

Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc.

Flash Point

187.4±23.6 °C

Boiling Point

582.2±50.0 °C at 760 mmHg

Melting Point

InChl

InChI=1S/C28H38O6/c1-9-14(2)24(30)33-22-15(3)12-27-16(4)10-19-20(25(19,5)6)18(21(27)29)11-17-13-32-26(7,8)34-23(17)28(22,27)31/h9,11-12,16,18-20,22-23,31H,10,13H2,1-8H3/b14-9-/t16-,18+,19-,20+,22+,23-,27+,28?/m1/s1

InChl Key

STFFIQHUWFISBB-PDIBALFOSA-N

WGK Germany

RID/ADR

HS Code Reference

Personal Projective Equipment

Correct Usage

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

Meta Tag

provides coniferyl ferulate(CAS#:87980-68-5) MSDS, density, melting point, boiling point, structure, formula, molecular weight etc. Articles of coniferyl ferulate are included as well.>> amp version: coniferyl ferulate

No Technical Documents Available For This Product.

PMID

22589826

Abstract

In the title compound, [Co(C18H18N2O4)Cl(H2O)]·C3H7NO, the CoIII ion is six-coordinated by a tetra­dentate 6,6′-dimeth­oxy-2,2′-[ethane-1,2-diylbis(nitrilo­methanylyl­idene)]diphenolate ligand, with a chloride ion and an aqua ligand in the apical positions. The compound crystallized as a dimethyl­formamide (DMF) monosolvate. In the crystal, complex mol­ecules are linked via O?Hwater?O hydrogen bonds to form a dimer-like arrangement. These dimers are linked via a C?H?Cl inter­action, and the DMF mol­ecule is linked to the complex mol­ecule by C?H?O inter­actions.

Title

Aqua­chlorido{6,6′-dimeth­oxy-2,2′-[ethane-1,2-diylbis(nitrilo­methanylyl­idene)]diphenolato-κ2 O 1,N,N′,O 1′}cobalt(III) dimethyl­formamide monosolvate

Author

Yun Wei,a Ting Pang,a Jiacheng Liu,a,* Meng Li,a and Lili Lianga

Publish date

2012 Apr 1;

PMID

26941699

Abstract

This study investigates the impact of item parameter drift (IPD) on parameter and ability estimation when the underlying measurement model fits a mixture distribution, thereby violating the item invariance property of unidimensional item response theory (IRT) models. An empirical study was conducted to demonstrate the occurrence of both IPD and an underlying mixture distribution using real-world data. Twenty-one trended anchor items from the 1999, 2003, and 2007 administrations of Trends in International Mathematics and Science Study (TIMSS) were analyzed using unidimensional and mixture IRT models. TIMSS treats trended anchor items as invariant over testing administrations and uses pre-calibrated item parameters based on unidimensional IRT. However, empirical results showed evidence of two latent subgroups with IPD. Results also showed changes in the distribution of examinee ability between latent classes over the three administrations. A simulation study was conducted to examine the impact of IPD on the estimation of ability and item parameters, when data have underlying mixture distributions. Simulations used data generated from a mixture IRT model and estimated using unidimensional IRT. Results showed that data reflecting IPD using mixture IRT model led to IPD in the unidimensional IRT model. Changes in the distribution of examinee ability also affected item parameters. Moreover, drift with respect to item discrimination and distribution of examinee ability affected estimates of examinee ability. These findings demonstrate the need to caution and evaluate IPD using a mixture IRT framework to understand its effects on item parameters and examinee ability.

KEYWORDS

item parameter drift, item response theory, mixture IRT, TIMSS, differential item functioning

Title

Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions

Author

Yoon Soo Park,1,* Young-Sun Lee,2 and Kuan Xing3

Publish date

2016;

PMID

26941699

Abstract

This study investigates the impact of item parameter drift (IPD) on parameter and ability estimation when the underlying measurement model fits a mixture distribution, thereby violating the item invariance property of unidimensional item response theory (IRT) models. An empirical study was conducted to demonstrate the occurrence of both IPD and an underlying mixture distribution using real-world data. Twenty-one trended anchor items from the 1999, 2003, and 2007 administrations of Trends in International Mathematics and Science Study (TIMSS) were analyzed using unidimensional and mixture IRT models. TIMSS treats trended anchor items as invariant over testing administrations and uses pre-calibrated item parameters based on unidimensional IRT. However, empirical results showed evidence of two latent subgroups with IPD. Results also showed changes in the distribution of examinee ability between latent classes over the three administrations. A simulation study was conducted to examine the impact of IPD on the estimation of ability and item parameters, when data have underlying mixture distributions. Simulations used data generated from a mixture IRT model and estimated using unidimensional IRT. Results showed that data reflecting IPD using mixture IRT model led to IPD in the unidimensional IRT model. Changes in the distribution of examinee ability also affected item parameters. Moreover, drift with respect to item discrimination and distribution of examinee ability affected estimates of examinee ability. These findings demonstrate the need to caution and evaluate IPD using a mixture IRT framework to understand its effects on item parameters and examinee ability.

KEYWORDS

item parameter drift, item response theory, mixture IRT, TIMSS, differential item functioning

Title

Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions

Author

Yoon Soo Park,1,* Young-Sun Lee,2 and Kuan Xing3

Publish date

2016;