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Raddeanoside R8


  • Brand : BIOFRON

  • Catalogue Number : BD-P0374

  • Specification : 98.0%(HPLC)

  • CAS number : 124961-61-1

  • PUBCHEM ID : 21672425

  • Volume : 25mg

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Catalogue Number


Analysis Method






Molecular Weight



Botanical Source

Anemone reddeana

Structure Type



Standards;Natural Pytochemical;API




β-D-Glucopyranose, O-6-deoxy-α-L-mannopyranosyl-(1->4)-O-β-D-glucopyranosyl-(1->6)-1-O-[(3β)-3-[[O-6-deoxy-α-L-mannopyranosyl-(1->2)-O-β-D-glucopyranosyl-(1->2)-α-L-arabinopyra nosyl]oxy]-28-oxoolean-12-en-28-yl]-/6-Deoxy-α-L-mannopyranosyl-(1->4)-β-D-glucopyranosyl-(1->6)-1-O-[(3β)-3-{[6-deoxy-α-L-mannopyranosyl-(1->2)-[β-D-glucopyranosyl-(1->4)]-α-L-arabinopyranosyl]oxy}-28-oxoolean-12-en -28-yl]-β-D-glucopyranose/Raddeanoside R8/6-Deoxy-α-L-mannopyranosyl-(1->4)-β-D-glucopyranosyl-(1->6)-1-O-[(3β)-3-{[6-deoxy-α-L-mannopyranosyl-(1->2)-β-D-glucopyranosyl-(1->2)-α-L-arabinopyranosyl]oxy}-28-oxoolean-12-en-2 8-yl]-β-D-glucopyranose/Raddeanoside-R8/β-D-Glucopyranose, O-6-deoxy-α-L-mannopyranosyl-(1->4)-O-β-D-glucopyranosyl-(1->6)-1-O-[(3β)-3-[[O-6-deoxy-α-L-mannopyranosyl-(1->2)-O-[β-D-glucopyranosyl-(1->4)]-α-L-arabinopy ranosyl]oxy]-28-oxoolean-12-en-28-yl]-


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


1.5±0.1 g/cm3


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#:124961-61-1) 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.




Evidence suggests that sitting time is adversely associated with health risks. However, previous epidemiological studies have mainly addressed mortality whereas little is known of the risk of coronary heart disease. This study aimed to investigate total sitting time and risk of myocardial infarction, coronary heart disease incidence and all-cause mortality.

In the Danish Health Examination Survey (DANHES) conducted in 2007-2008 we tested the hypothesis that a higher amount of daily total sitting time is associated with greater risk of myocardial infarction, coronary heart disease and all-cause mortality. The study population consisted of 71,363 men and women aged 18-99 years without coronary heart disease. Participants were followed for myocardial infarction, coronary heart disease and mortality in national registers to August 10, 2012. Cox regression analyses were performed with adjustment for potential confounders and multiple imputation for missing values.

During a mean follow-up period of 5.4 years 358 incident cases of myocardial infarction, 1,446 of coronary heart disease, and 1,074 deaths from all causes were registered. The hazard ratios associated with 10 or more hours of daily sitting compared to less than 6 hours were 1.38 (95% CI: 1.01, 1.88) for myocardial infarction, 1.07 (95% CI: 0.91, 1.27) for coronary heart disease and 1.31 (95% CI: 1.09, 1.57). Compared to sitting less than 6 hours per day and being physically active in leisure time, the hazard ratios of sitting more than 10 hours per day and also being physically inactive in leisure time were 1.80 (95% CI: 1.15, 2.82) for myocardial infarction, 1.42 (95% CI: 1.11, 1.81) for coronary heart disease, and 2.29 (95% CI: 1.82, 2.89) for all-cause mortality.

The results suggest that a higher amount of daily total sitting time is associated with all-cause mortality, particularly among inactive adults. In relation to coronary heart, disease results were less clear. This paper adds new evidence to the limited data on the evidence of sitting time and cardiovascular disease and mortality.


Sitting time, Physical activity, Longitudinal studies, Myocardial infarction, Coronary disease, Mortality, Denmark


Total sitting time and risk of myocardial infarction, coronary heart disease and all-cause mortality in a prospective cohort of Danish adults


Christina Bjørk Petersen,corresponding author1 Adrian Bauman,2 Morten Grønbæk,1 Jørn Wulff Helge,3 Lau Caspar Thygesen,1 and Janne S Tolstrup1

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Although the Framework Convention on Tobacco Control prioritizes monitoring of tobacco use by population-based surveys, information about the prevalence and patterns of tobacco use in sub-Saharan Africa is limited. We provide country-level prevalence estimates for smoking and smokeless tobacco (SLT) use and assess their social determinants.

We analyzed population-based data of the most recent Demographic Health Surveys performed between 2006 and 2013 involving men and women in 30 sub-Saharan African countries. Weighted country-level prevalence rates were estimated for ‘current smoking’ (cigarettes, pipe, cigars, etc.) and ‘current SLT use’ (chewing, snuff, etc.). From the pooled datasets for men and women, social determinants of smoking and SLT use were assessed through multivariate analyses using a dummy country variable as a control and by including a within-country sample weight for each country.

Among men, smoking prevalence rates were high in Sierra Leone (37.7%), Lesotho (34.1%), and Madagascar (28.5%); low (<10%) in Ethiopia, Benin, Ghana, Nigeria, and Sao Tome & Principe; the prevalence of SLT use was <10% in all countries except for Madagascar (24.7%) and Mozambique (10.9%). Among women, smoking and SLT prevalence rates were <5% in most countries except for Burundi (9.9%), Sierra Leone (6%), and Namibia (5.9%) (smoking), and Madagascar (19.6%) and Lesotho (9.1%) (SLT use). The proportion of females who smoked was lower than SLT users in most countries. Older age was strongly associated with both smoking and SLT use among men and women. Smoking among both men and women was weakly associated, but SLT use was strongly associated, with education. Similarly, smoking among men and women was weakly associated, but SLT use was strongly associated, with the wealth index. Smoking and SLT use were also associated with marital status among both men and women, as well as with occupation (agriculturists and unskilled workers). Conclusions Prevalence of smoking among women was much lower than in men, although the social patterns of tobacco use were similar to those in men. Tobacco control strategies should target the poor, not/least educated, and agricultural and unskilled workers, who are the most vulnerable social groups in sub-Saharan Africa.


Prevalence, distribution, and social determinants of tobacco use in 30 sub-Saharan African countries


Chandrashekhar T Sreeramareddy,corresponding author Pranil Mansingh Pradhan, and Shwe Sin

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