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Phoyunbene C

$1,056

  • Brand : BIOFRON

  • Catalogue Number : BN-O0934

  • Specification : 98%(HPLC)

  • CAS number : 886747-63-3

  • Formula : C16H16O4

  • Molecular Weight : 272.3

  • PUBCHEM ID : 11507326

  • Volume : 5mg

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Catalogue Number

BN-O0934

Analysis Method

HPLC,NMR,MS

Specification

98%(HPLC)

Storage

2-8°C

Molecular Weight

272.3

Appearance

Oil

Botanical Source

Structure Type

Phenols

Category

Standards;Natural Pytochemical;API

SMILES

C1CC(=C2C(=C1)C3=CC=CC=C3O2)C4=NC(=NC(=C4)C5=CC=CC=C5C6=CC=CC=C6)C7=CC8=C(C=C7)C9=CC=CC=C9C81C2C=CC=C3C2N(C2=CC=CC=C32)C2=CC=CC=C12

Synonyms

2'-[4-(2,3-dihydrodibenzofuran-4-yl)-6-(2-phenylphenyl)pyrimidin-2-yl]spiro[1-azapentacyclo[10.7.1.02,7.08,20.014,19]icosa-2,4,6,8,10,14,16,18-octaene-13,9'-fluorene]

IUPAC Name

3-[(E)-2-(3-hydroxy-5-methoxyphenyl)ethenyl]-2-methoxyphenol

Density

Solubility

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

Flash Point

Boiling Point

Melting Point

InChl

InChI=1S/C59H39N3O/c1-2-16-36(17-3-1)38-18-4-5-20-41(38)51-35-52(46-25-14-24-45-43-22-8-13-31-55(43)63-57(45)46)61-58(60-51)37-32-33-40-39-19-6-9-26-47(39)59(50(40)34-37)48-27-10-12-30-54(48)62-53-29-11-7-21-42(53)44-23-15-28-49(59)56(44)62/h1-13,15-24,26-35,49,56H,14,25H2

InChl Key

ANXSSAIQQLGFOH-UHFFFAOYSA-N

WGK Germany

RID/ADR

HS Code Reference

2933990000

Personal Projective Equipment

Correct Usage

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

Meta Tag

provides coniferyl ferulate(CAS#:886747-63-3) 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

29985957

Abstract

Background and purpose
The most common and gold standard method to diagnose and follow-up on scoliosis treatment is to capture biplanar X-ray images and then use these to determine the sagittal frontal spinal curvature angles by the Cobb method. Reducing exposure to radiation is an important aspect for consideration, especially regarding children. The ZEBRIS spinal examination method is an external, non-invasive measurement method that uses an ultrasound-based motion analysis system. The aim of this study is to compare angle values of patients with adolescent idiopathic scoliosis (AIS) determined by the ZEBRIS spine examination method with the angle values defined by the gold standard Cobb method on biplanar X-ray images.

Methods
Subjects included 19 children with AIS (mean age 14.5±2.1 years, range 8-16 years, frontal plane thoracic Cobb angle 19.95±10.23°, thoracolumbar/lumbar angle 16.57±10.23°). The thoracic kyphosis and lumbar lordosis in the sagittal plane and the thoracic and lumbar scoliosis values were calculated by the Cobb method on biplanar X-ray images. The sagittal frontal spinal curvature angles were calculated from the position of the processus spinosus of 19 vertebrae, as determined by the ZEBRIS spine examination method. The validity of the ZEBRIS spine examination method was evaluated with Bland-Altman analyses between the sagittal and frontal spinal curvature parameters calculated from data determined by the ZEBRIS spine examination method and data obtained by the Cobb method on the X-ray images.

Results and discussion
Thoracic spinal curvature angles in sagittal and in frontal planes can be measured with sufficient accuracy. The slopes of the linear regression lines for thoracic kyphosis (TK) and thoracic scoliosis (TSC) are close to one (1.00 and 0.79 respectively), and the intercept values are below 5 degrees. The correlation between the TK and TSC values determined by the two methods is significant (p = 0.000) and excellent (rTK = 0.95, rTSC = 0.85). The differences are in the limit of agreement. The lumbar lordosis (LL) in the sagittal plane shows a very good correlation (rLL = 0.76); however the differences between the angles determined by the two methods are out of the limit of agreement in patients with major lumbar lordosis (LL≥50°). The thoracolumbar/lumbar spinal curvature angles in the frontal plane determined by ZEBRIS spine examination were underestimated at curvatures larger than 15°, mainly due to the rotational and pathological deformities of the scoliotic vertebrae. However, the correlation between lumbar scoliosis (LSC) values determined by the two methods is significant (p = 0.000) and excellent (rLSC = 0.84), the slopes are below one (0.71), the intercept values are below 5 degrees, and the differences between the angles determined by the two methods are within the limits of agreement. We could conclude that ZEBRIS spinal examination is a valid and reliable method for determination of sagittal and frontal curvatures during the treatment of patients with scoliosis. However, it cannot replace the biplanar X-ray examination for the visualization of spinal curvatures in the sagittal and frontal planes and the rotation of vertebral bodies during the diagnosis and annual evaluation of the progression.

Title

Comparison of spinal curvature parameters as determined by the ZEBRIS spine examination method and the Cobb method in children with scoliosis

Author

Maria Takacs, Data curation, Project administration, Resources, Writing - original draft,#1 Zsanett Orlovits, Formal analysis, Validation, Writing - original draft,#2 Bence Jager, Data curation, Software, Writing - original draft,#3 and Rita M. Kiss, Conceptualization, Methodology, Supervision, Validation, Writing - original draft, Writing - review & editing#4,*

Publish date

2018;

PMID

20727159

Abstract

Background
In the last decade, a large amount of microarray gene expression data has been accumulated in public repositories. Integrating and analyzing high-throughput gene expression data have become key activities for exploring gene functions, gene networks and biological pathways. Effectively utilizing these invaluable microarray data remains challenging due to a lack of powerful tools to integrate large-scale gene-expression information across diverse experiments and to search and visualize a large number of gene-expression data points.

Results
Gene Expression Browser is a microarray data integration, management and processing system with web-based search and visualization functions. An innovative method has been developed to define a treatment over a control for every microarray experiment to standardize and make microarray data from different experiments homogeneous. In the browser, data are pre-processed offline and the resulting data points are visualized online with a 2-layer dynamic web display. Users can view all treatments over control that affect the expression of a selected gene via Gene View, and view all genes that change in a selected treatment over control via treatment over control View. Users can also check the changes of expression profiles of a set of either the treatments over control or genes via Slide View. In addition, the relationships between genes and treatments over control are computed according to gene expression ratio and are shown as co-responsive genes and co-regulation treatments over control.

Conclusion
Gene Expression Browser is composed of a set of software tools, including a data extraction tool, a microarray data-management system, a data-annotation tool, a microarray data-processing pipeline, and a data search & visualization tool. The browser is deployed as a free public web service (http://www.ExpressionBrowser.com) that integrates 301 ATH1 gene microarray experiments from public data repositories (viz. the Gene Expression Omnibus repository at the National Center for Biotechnology Information and Nottingham Arabidopsis Stock Center). The set of Gene Expression Browser software tools can be easily applied to the large-scale expression data generated by other platforms and in other species.

Title

Gene Expression Browser: large-scale and cross-experiment microarray data integration, management, search & visualization

Author

Reviewed by Ming Zhang,1 Yudong Zhang,2 Li Liu,2 Lijuan Yu,2 Shirley Tsang,3 Jing Tan,2 Wenhua Yao,2 Manjit S Kang,4 Yongqiang An,5 and Xingming Fancorresponding author2

Publish date

2010;


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