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  • Brand : BIOFRON

  • Catalogue Number : BN-O1004

  • Specification : 97%(HPLC)

  • CAS number : 123043-54-9

  • Formula : C28H38O10

  • Molecular Weight : 534.6

  • PUBCHEM ID : 91895328

  • Volume : 5mg

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Catalogue Number


Analysis Method






Molecular Weight




Botanical Source

This product is isolated and purified from the herbs of Rabdosia bulleyana

Structure Type



Standards;Natural Pytochemical;API




(1α,3β,5β,7β,8α,9β,10α,11β,12α,13α)-12-Hydroxy-15-oxokaur-16-ene-1,3,7,11-tetrayl tetraacetate


[(1R,2S,4R,6S,8S,9R,10S,11R,12R,13R)-6,8,11-triacetyloxy-12-hydroxy-5,5,9-trimethyl-14-methylidene-15-oxo-2-tetracyclo[,10.04,9]hexadecanyl] acetate


1.3±0.1 g/cm3


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

Flash Point

189.1±25.0 °C

Boiling Point

600.9±55.0 °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#:123043-54-9) 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.




Three polychlorophenol-degrading Rhodococcus and Mycobacterium strains were isolated independently from soil contaminated with chlorophenol wood preservative and from sludge of a wastewater treatment facility of a kraft pulp bleaching plant. Rhodococcus sp. strain CG-1 and Mycobacterium sp. strain CG-2, isolated from tetrachloroguaiacol enrichment, and Rhodococcus sp. strain CP-2, isolated from pentachlorophenol enrichment, mineralized pentachlorophenol and degraded several other polychlorinated phenols, guaiacols (2-methoxyphenols), and syringols (2,6-dimethoxyphenols) at micromolar concentrations and were sensitive to the toxic effects of pentachlorophenol. All three strains initiated degradation of the chlorophenols by para-hydroxylation, producing chlorinated para-hydroquinones, which were then further degraded. Parallel to degradation, strains CG-1, CG-2, and CP-2 also O-methylated nearly all chlorinated phenols, guaiacols, syringols, and hydroquinones. O-methylation of chlorophenols was a slow reaction compared with degradation. The preferred substrates of the O-methylating enzyme(s) were those with the hydroxyl group flanked by two chlorine substituents. O-methylation was constitutively expressed, whereas degradation of chlorinated phenolic compounds was inducible.


Degradation and O-methylation of chlorinated phenolic compounds by Rhodococcus and Mycobacterium strains


M M Haggblom, L J Nohynek, and M S Salkinoja-Salonen

Publish date

1988 Dec;




There is general consensus that physical activity is important for preserving functional capacities of older adults and positively influencing quality of life. While accelerometry is widely accepted and applied to assess physical activity in studies, several problems with this method remain (e.g., low retest reliability, measurement errors). The aim of this study was to test the intra-instrumental retest reliability of a wrist-worn accelerometer in a 3-day measurement of physical activity in older adults and to compare different estimators. A sample of 123 older adults (76.5 ± 5.1 years, 59 % female) wore a uniaxial accelerometer continuously for 1 week. The data were split into two repeated measurement values (week set) of 3 days each. The sum, the 80-99th quantiles and the 80-99th trimmed sums were built for each week set. Retest reliability was assessed for each estimator and graphically demonstrated by Bland-Altman plots. The intraclass correlation of the retest reliability ranged from 0.22 to 0.91. Retest reliability increases when a more robust estimator than the overall sum is used. Therefore, the trimmed sum can be recommended as a conservative estimate of the physical activity level of older adults.


Aged, Reproducibility of results, Activities of daily living, Bias (epidemiology)


Reliability of accelerometric measurement of physical activity in older adults-the benefit of using the trimmed sum


Ulrike Sonja Trampisch,corresponding author1,2 Petra Platen,1 Matthias Trampisch,2 Anna Moschny,1 Ulrich Thiem,2 and Timo Hinrichs1

Publish date

2012 Oct;




Although the epidemiological relationship between hypoglycemia and increased risk of acute coronary syndrome (ACS) has been well established, the time period for increased risk of ACS after a severe hypoglycemic episode remains unknown. The present study aimed to determine the ACS risk after a severe hypoglycemic episode.

Materials and Methods
We carried out a retrospective population‐based cohort study based on national claims data in Japan. We retrieved data of diabetes patients aged ≥35 years collected from April 2014 to March 2016. The absolute risk of ACS was defined as the occurrence of an emergency percutaneous coronary intervention after a severe hypoglycemic episode.

In total, data of 7,909,626 patients were included in the analysis. The absolute risk of ACS was 2.9 out of 1,000 person‐years in all patients. ACS risk in patients with severe hypoglycemic episodes was 3.0 out of 1,000 person‐years. Severe hypoglycemic episodes increased the absolute risk of ACS in patients aged ≥70 years, but not in patients aged <70 years. The absolute risk of ACS was 10.6 out of 1,000 person‐years within 10 days of a severe hypoglycemic episode. There was a significant trend between shorter duration after an episode and higher ACS risk. Conclusions Severe hypoglycemia was associated with an increased risk of ACS in elderly diabetes patients. ACS risk increased with a shorter period after a severe hypoglycemic episode, suggesting that severe hypoglycemia leads to an increased risk of ACS in diabetes patients. These findings show that it is important to avoid severe hypoglycemia while treating diabetes, particularly in elderly patients.


Acute coronary syndrome, Diabetes, Hypoglycemia


Absolute risk of acute coronary syndrome after severe hypoglycemia: A population‐based 2‐year cohort study using the National Database in Japan


Yuichi Nishioka, 1 , 2 Sadanori Okada, 2 Tatsuya Noda,corresponding author 1 Tomoya Myojin, 1 Shinichiro Kubo, 1 Shosuke Ohtera, 3 Genta Kato, 4 Tomohiro Kuroda, 3 Hitoshi Ishii, 2 and Tomoaki Imamura 1

Publish date

2020 Mar

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