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Ilexoside D


  • Brand : BIOFRON

  • Catalogue Number : BD-P0238

  • Specification : 99.0%(HPLC)

  • CAS number : 109008-27-7

  • Formula : C41H66O13

  • Molecular Weight : 766.966

  • PUBCHEM ID : 122213508

  • Volume : 25mg

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Catalogue Number


Analysis Method






Molecular Weight




Botanical Source

llexhainanensis Merr(Hainan holly leaf); Ilex pubescens

Structure Type






(1R,2R,4aS,6aR,6aS,6bR,8aR,10S,12aR,14bS)-10-[(2S,3R,4S,5R)-4,5-dihydroxy-3-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxan-2-yl]oxy-1-hydroxy-1,2,6a,6b,9,9,12a-heptamethyl-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid


(1R,2R,4aS,6aR,6aS,6bR,8aR,10S,12aR,14bS)-10-[(2S,3R,4S,5R)-4,5-dihydroxy-3-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxan-2-yl]oxy-1-hydroxy-1,2,6a,6b,9,9,12a-heptamethyl-2,3,4,5,6,6a,7,8,8a,10,11,12,13,14b-tetradecahydropicene-4a-carboxylic acid




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

Flash Point

Boiling Point

Melting Point



InChl Key


WGK Germany


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#:109008-27-7) 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.




Septoria is a large genus of asexual morphs of Ascomycota causing leaf spot diseases of many cultivated and wild plants. Host specificity has long been a decisive criterium in species delimitation in Septoria, mainly because of the paucity of useful morphological characters and the high level of variation therein. This study aimed at improving the species delimitation of Septoria by adopting a polyphasic approach, including multilocus DNA sequencing and morphological analyses on the natural substrate and in culture. To this end 365 cultures preserved in CBS, Utrecht, The Netherlands, among which many new isolates obtained from fresh field specimens were sequenced. Herbarium material including many types was also studied. Full descriptions of the morphology in planta and in vitro are provided for 57 species. DNA sequences were generated for seven loci, viz. nuclear ITS and (partial) LSU ribosomal RNA genes, RPB2, actin, calmodulin, Btub, and EF. The robust phylogeny inferred showed that the septoria-like fungi are distributed over three main clades, establishing the genera Septoria s. str., Sphaerulina, and Caryophylloseptoria gen. nov. Nine new combinations and one species, Sphaerulina tirolensis sp. nov. were proposed. It is demonstrated that some species have wider host ranges than expected, including hosts from more than one family. Septoria protearum, previously only associated with Proteaceae was found to be also associated with host plants from six additional families of phanerogams and cryptogams. To our knowledge this is the first study to provide DNA-based evidence that multiple family-associations occur for a single species in Septoria. The distribution of host families over the phylogenetic tree showed a highly dispersed pattern for 10 host plant families, providing new insight into the evolution of these fungi. It is concluded that trans-family host jumping is a major force driving the evolution of Septoria and Sphaerulina.


Evolution, host jumping, host specificity, Multilocus Sequence Typing (MLST), Mycosphaerella, Mycosphaerellaceae, new genus, new species, Pleosporales, Phloeospora, Septoria, Sphaerulina, taxonomy, systematics


A new approach to species delimitation in Septoria


G.J.M. Verkley,1,* W. Quaedvlieg,1,2 H.-D. Shin,3 and P.W. Crous1,2,4

Publish date

2013 Jun 30;




The study of how the quality of pediatric end-of-life care varies across systems of health care delivery and financing is hampered by lack of methods to adjust for the probability of death in populations of ill children.

To develop a prognostication models using administratively available data to predict the probability of in-hospital and 1-year postdischarge death.

Retrospective cohort study of 0-21 year old patients admitted to Pennsylvania hospitals from 1994-2001 and followed for 1-year postdischarge mortality, assessing logistic regression models ability to predict in-hospital and 1-year postdischarge deaths.

Among 678,365 subjects there were 2,202 deaths that occurred during the hospitalization (0.32% of cohort) and 860 deaths that occurred 365 days or less after hospital discharge (0.13% of cohort). The model predicting hospitalization deaths exhibited a C statistic of 0.91, with sensitivity of 65.9% and specificity of 92.9% at the 99th percentile cutpoint; while the model predicting 1-year postdischarge deaths exhibited a C statistic of 0.92, with sensitivity of 56.1% and specificity of 98.4% at the 99th percentile cutpoint.

Population-level mortality prognostication of hospitalized children using administratively available data is feasible, assisting the comparison of health care services delivered to children with the highest probability of dying during and after a hospital admission.


Prediction of Pediatric Death in the Year after Hospitalization: A Population-Level Retrospective Cohort Study


Chris Feudtner, M.D., Ph.D., M.P.H.,corresponding author1,,5 Kari R. Hexem, M.P.H.,1 Mayadah Shabbout, M.S.,3 James A. Feinstein, M.D.,1 Julie Sochalski, Ph.D., R.N.,4,,5 and Jeffery H. Silber, M.D., Ph.D.2,,5

Publish date

2009 Feb




This 14‐color, 16‐antibody OMIP was designed for enumeration of leukocyte responses in pediatric samples, where sample volumes and cell numbers can be very low. Leukocytes identified by this panel include all major members of the innate lymphoid cell (ILC) family (ILC1s, ILC2s, and ILC3s), natural killer cells (NK cells), granulocytes (neutrophils and eosinophils), T‐cells (CD4+ and CD8+), mucosal‐associated invariant T cells (MAIT cells) and NKT‐like cells. The protocol was optimized using small volumes of peripheral blood and validated in airway samples obtained from children (< 2 years of age) admitted to a pediatric intensive care unit (PICU). Given this backdrop, this OMIP is widely applicable to clinical research using low volume or paucicellular samples, such as studies of innate and adaptive immune responses in infants and children, with potential clinical application in diagnostics and monitoring of patients by pediatricians.


OMIP‐062: A 14‐Color, 16‐Antibody Panel for Immunophenotyping Human Innate Lymphoid, Myeloid and T Cells in Small Volumes of Whole Blood and Pediatric Airway Samples


Dawid Swieboda, 1 , 2 Yanping Guo, 1 Sophie Sagawe, 1 Ryan S. Thwaites, 1 Simon Nadel, 3 Peter J.M. Openshaw, 1 , 2 and Fiona J. Culleycorresponding author 1 , 2

Publish date

2019 Dec;