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
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.
25298081
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.
Primary care, Disease diagnosis, Uganda
Disease diagnosis in primary care in Uganda
Martin Kayitale Mbonye,corresponding author Sarah M Burnett, Robert Colebunders, Sarah Naikoba, Jean-Pierre Van Geertruyden, Marcia R Weaver, and Allan Ronald
2014;
24349467
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.
Worldwide Topology of the Scientific Subject Profile: A Macro Approach in the Country Level
Felix Moya-Anegon 1 and Victor Herrero-Solana 2 , *
2013
31964888
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
Comprehensive transcriptome data for endemic Schizothoracinae fish in the Tibetan Plateau
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
2020;