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(3R)-5,7-Dihydroxy-6-methyl-3-(4′-hydroxybenzyl)chroman-4-one

$717

  • Brand : BIOFRON

  • Catalogue Number : BD-P0454

  • Specification : 95.0%(HPLC)

  • CAS number : 84638-48-2

  • Formula : C17H16O5

  • Molecular Weight : 300.306

  • PUBCHEM ID : 71585044

  • Volume : 10mg

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Catalogue Number

BD-P0454

Analysis Method

HPLC,NMR,MS

Specification

95.0%(HPLC)

Storage

2-8°C

Molecular Weight

300.306

Appearance

Powder

Botanical Source

Structure Type

Flavonoids

Category

SMILES

CC1=C(C2=C(C=C1O)OCC(C2=O)CC3=CC=C(C=C3)O)O

Synonyms

(3R)-5,7-dihydroxy-3-[(4-hydroxyphenyl)methyl]-6-methyl-2,3-dihydrochromen-4-one

IUPAC Name

(3R)-5,7-dihydroxy-3-[(4-hydroxyphenyl)methyl]-6-methyl-2,3-dihydrochromen-4-one

Applications

Density

Solubility

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

Flash Point

Boiling Point

Melting Point

InChl

InChI=1S/C17H16O5/c1-9-13(19)7-14-15(16(9)20)17(21)11(8-22-14)6-10-2-4-12(18)5-3-10/h2-5,7,11,18-20H,6,8H2,1H3/t11-/m1/s1

InChl Key

BFVOQLBTLZMHPR-LLVKDONJSA-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#:84638-48-2) 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

25298081

Abstract

We carried out extensive literature searches including MEDLINE (1980 to 25 August 2011), Embase (1980 to 25 August 2011), BIOSIS via EDINA (1985 to 25 August 2011), CINAHL via OVID (1982 to 25 August 2011), and The Database of Abstracts of Reviews of Effects (the Cochrane Library 2011, Issue 7). We checked reference lists and published review articles for additional potentially relevant studies.

KEYWORDS

Primary care, Disease diagnosis, Uganda

Title

Disease diagnosis in primary care in Uganda

Author

Martin Kayitale Mbonye,corresponding author Sarah M Burnett, Robert Colebunders, Sarah Naikoba, Jean-Pierre Van Geertruyden, Marcia R Weaver, and Allan Ronald

Publish date

2014;

PMID

24349467

Abstract

Background
Models for the production of knowledge and systems of innovation and science are key elements for characterizing a country in view of its scientific thematic profile. With regard to scientific output and publication in journals of international visibility, the countries of the world may be classified into three main groups according to their thematic bias.

Methodology/Principal Findings
This paper aims to classify the countries of the world in several broad groups, described in terms of behavioural models that attempt to sum up the characteristics of their systems of knowledge and innovation. We perceive three clusters in our analysis: 1) the biomedical cluster, 2) the basic science & engineering cluster, and 3) the agricultural cluster. The countries are conceptually associated with the clusters via Principal Component Analysis (PCA), and a Multidimensional Scaling (MDS) map with all the countries is presented.

Conclusions/Significance
As we have seen, insofar as scientific output and publication in journals of international visibility is concerned, the countries of the world may be classified into three main groups according to their thematic profile. These groups can be described in terms of behavioral models that attempt to sum up the characteristics of their systems of knowledge and innovation.

Title

Worldwide Topology of the Scientific Subject Profile: A Macro Approach in the Country Level

Author

Felix Moya-Anegon 1 and Victor Herrero-Solana 2 , *

Publish date

2013

PMID

31964888

Abstract

The Schizothoracinae fishes, endemic species in the Tibetan Plateau, are considered as ideal models for highland adaptation and speciation investigation. Despite several transcriptome studies for highland fishes have been reported before, the transcriptome information of Schizothoracinae is still lacking. To obtain comprehensive transcriptome data for Schizothoracinae, the transcriptome of a total of 183 samples from 14 representative Schizothoracinae species, were sequenced and de novo assembled. As a result, about 1,363 Gb transcriptome clean data was obtained. After the assembly, we obtain 76,602-154,860 unigenes for each species with sequence N50 length of 1,564-2,143 bp. More than half of the unigenes were functionally annotated by public databases. The Schizothoracinae fishes in this work exhibited diversified ecological distributions, phenotype characters and feeding habits; therefore, the comprehensive transcriptome data of those species provided valuable information for the environmental adaptation and speciation of Schizothoracinae in the Tibetan Plateau.

Subject terms: RNA sequencing, Ichthyology, Transcriptomics

Title

Comprehensive transcriptome data for endemic Schizothoracinae fish in the Tibetan Plateau

Author

Chaowei Zhou,#1,2 Shijun Xiao,#1,3 Yanchao Liu,#1 Zhenbo Mou,1 Jianshe Zhou,1 Yingzi Pan,1 Chi Zhang,1 Jiu Wang,1 Xingxing Deng,2 Ming Zou,3 and Haiping Liucorresponding author1

Publish date

2020;