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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.
22589826
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.
Aquachlorido{6,6′-dimethoxy-2,2′-[ethane-1,2-diylbis(nitrilomethanylylidene)]diphenolato-κ2 O 1,N,N′,O 1′}cobalt(III) dimethylformamide monosolvate
Yun Wei,a Ting Pang,a Jiacheng Liu,a,* Meng Li,a and Lili Lianga
2012 Apr 1;
26941699
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.
item parameter drift, item response theory, mixture IRT, TIMSS, differential item functioning
Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions
Yoon Soo Park,1,* Young-Sun Lee,2 and Kuan Xing3
2016;
26941699
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.
item parameter drift, item response theory, mixture IRT, TIMSS, differential item functioning
Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions
Yoon Soo Park,1,* Young-Sun Lee,2 and Kuan Xing3
2016;