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  • Brand : BIOFRON

  • Catalogue Number : BN-O1480

  • Specification : 98%(HPLC)

  • CAS number : 28955-30-8

  • Formula : C13H12O4

  • Molecular Weight : 232.2

  • PUBCHEM ID : 5319500

  • Volume : 5mg

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Catalogue Number


Analysis Method






Molecular Weight




Botanical Source

This product is isolated and purified from the leaves of Senna siamea

Structure Type



Standards;Natural Pytochemical;API




5-acetonyl-7-hydroxy-2-methylchromone/7-Hydroxy-2-methyl-5-(2-oxopropyl)-4H-chromen-4-one/4H-1-Benzopyran-4-one, 7-hydroxy-2-methyl-5-(2-oxopropyl)-/Cassiachromone/Chromone,5-acetonyl-7-hydroxy-2-methyl/2-Methyl-5-acetonyl-7-hydroxychromone




1.3±0.1 g/cm3


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

Flash Point

174.8±22.2 °C

Boiling Point

444.7±45.0 °C at 760 mmHg

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#:28955-30-8) 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.




Botulinum neurotoxin serotype A (BoNT/A) causes transient muscle paralysis by entering motor nerve terminals (MNTs) where it cleaves the SNARE protein Synaptosomal-associated protein 25 (SNAP25206) to yield SNAP25197. Cleavage of SNAP25 results in blockage of synaptic vesicle fusion and inhibition of the release of acetylcholine. The specific uptake of BoNT/A into pre-synaptic nerve terminals is a tightly controlled multistep process, involving a combination of high and low affinity receptors. Interestingly, the C-terminal binding domain region of BoNT/A, HC/A, is homologous to fibroblast growth factors (FGFs), making it a possible ligand for Fibroblast Growth Factor Receptors (FGFRs). Here we present data supporting the identification of Fibroblast Growth Factor Receptor 3 (FGFR3) as a high affinity receptor for BoNT/A in neuronal cells. HC/A binds with high affinity to the two extra-cellular loops of FGFR3 and acts similar to an agonist ligand for FGFR3, resulting in phosphorylation of the receptor. Native ligands for FGFR3; FGF1, FGF2, and FGF9 compete for binding to FGFR3 and block BoNT/A cellular uptake. These findings show that FGFR3 plays a pivotal role in the specific uptake of BoNT/A across the cell membrane being part of a larger receptor complex involving ganglioside- and protein-protein interactions.


Identification of Fibroblast Growth Factor Receptor 3 (FGFR3) as a Protein Receptor for Botulinum Neurotoxin Serotype A (BoNT/A)


Birgitte P. S. Jacky, Patton E. Garay, Jerôme Dupuy, Jeremy B. Nelson, Brian Cai, Yanira Molina, Joanne Wang, Lance E. Steward, Ron S. Broide, Joseph Francis, K. Roger Aoki, Raymond C. Stevens, Ester Fernandez-Salas

Publish date

2013 May;




The present article provides water quality data collected from three South Texas Estuaries (Guadalupe, Nueces and Lavaca-Colorado Estuaries) during frequent drought from 2011 to 2014. The data described here are presented in the research article “The relationship between suspended solids and nutrients with variable hydrologic flow regimes” Paudel et al., 2019. Quarterly (i.e. four times a year) surface water quality data presented here were collected from various stations lie along river-estuary mouth to oceanic salinity gradient. Followings are the water quality data provided from Texas estuaries at different river flow regimes: pH, DO, TSS, salinity, chlorophyll-a, secchi disc reading, and nutrients (dissolved nitrogen, dissolved phosphorus and dissolved silicate). Surface inflow was obtained by adding gauged, modeled and return flow.


Estuaries, Hydrologic flow, Salinity, TSS, Nutrients


Water quality data from estuarine variable hydrologic flow regimes during frequent drought


Bhanu Paudel,a,∗ Paul A. Montagna,b and Leslie Adamsb

Publish date

2019 Aug;




Porcine epidemic diarrhea virus (PEDV) emerged into Canada in January 2014, primarily affecting sow herds. Subsequent epidemiological analyses suggested contaminated feed was the most likely transmission pathway. The primary objective of this study was to describe general biosecurity and management practices implemented in PEDV-positive sow herds and matched control herds at the time the virus emerged. The secondary objective was to determine if any of these general biosecurity and farm management practices were important in explaining PEDV infection status from January 22, 2014 to March 1, 2014. A case herd was defined as a swine herd with clinical signs and a positive test result for PEDV. A questionnaire was used to a gather 30-day history of herd management practices, animal movements on/off site, feed management practices, semen deliveries and biosecurity practices for case (n = 8) and control (n = 12) herds, primarily located in Ontario. Data was analyzed using descriptive statistics and random forests (RFs). Case herds were larger in size than control herds. Case herds had more animal movements and non-staff movements onto the site. Also, case herds had higher quantities of pigs delivered, feed deliveries and semen deliveries on-site. The biosecurity practices of case herds were considered more rigorous based on herd management, feed deliveries, transportation and truck driver practices than control herds. The RF model found that the most important variables for predicting herd status were related to herd size and feed management variables. Nonetheless, predictive accuracy of the final RF model was 72%.


Swine, biosecurity, porcine epidemic diarrhea, random forests, Canada


A descriptive study of on-farm biosecurity and management practices during the incursion of porcine epidemic diarrhea into Canadian swine herds, 2014


Amanda M. Perri,1 Zvonimir Poljak,1 Cate Dewey,1 John CS. Harding,2 Terri L. O'Sullivancorresponding author1

Publish date

2020 Mar

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