Catalogue Number
BN-O1521
Analysis Method
Specification
98%(HPLC)
Storage
2-8°C
Molecular Weight
470.6
Appearance
Botanical Source
Structure Type
Category
SMILES
CC(=C)C(CCC(C)(C)O)CC1=C2C(=C(C=C1O)OC)C(=O)CC(O2)C3=C(C=C(C=C3)O)OC
Synonyms
IUPAC Name
7-hydroxy-2-(4-hydroxy-2-methoxyphenyl)-8-(5-hydroxy-5-methyl-2-prop-1-en-2-ylhexyl)-5-methoxy-2,3-dihydrochromen-4-one
Density
Solubility
Flash Point
Boiling Point
Melting Point
InChl
InChl Key
KDADHLPROOOPIC-UHFFFAOYSA-N
WGK Germany
RID/ADR
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#:52483-00-8) 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.
25408618
Passiflora subgenus Decaloba supersection Cieca is a monophyletic group of herbaceous to woody climbers found in subtropical and tropical regions of the world. The 19 species recognized here are primarily distributed in the southern United States, Mexico, Central America, South America, and the Caribbean. Two species, Passiflora suberosa and Passiflora pallida, are also naturalized in various regions of the Old World. The species of the supersection are recognized by their small, apetalous, usually greenish flowers with the filaments of the corona mostly in two series. The plants commonly lack c-glycosylflavones but possess flavonol 3-O-glycosides. The supersection contains two problematic species complexes, Passiflora suberosa and Passiflora coriacea. Phylogenetic relationships within supersection Cieca are investigated by means of phenetic and cladistic analyses of morphological and molecular (ITS 1 & 2) characters. The morphological and molecular data sets were analyzed separately because of incongruity due to taxon sampling and the complicated evolutionary history of entities within the Passiflora suberosa complex. All analyses confirm the monophyly of the supersection. They also show that the Passiflora suberosa complex is a non-monophyletic group of cryptic species, and inter-taxic hybridization and polyploidy have contributed to the confusing and complex pattern of variation evident within the group. Four taxa that were formerly included in this complex are recognized: Passiflora pallida, Passiflora suberosa subsp. suberosa, Passiflora suberosa subsp. litoralis, and Passiflora tridactylites. On the basis of molecular and morphological data, three species from the Passiflora coriacea complex are recognized: Passiflora coriacea, Passiflora sexocellata, and Passiflora megacoriacea. A key, detailed descriptions, distribution maps, and illustrations are included in the revision. Pollination, dispersal, and herbivory of the group are reviewed. The distribution and ecology of the species within the supersection are also discussed.
Passiflora, Cieca, morphology, ITS, species complex, cladistics
A revision of Passiflora L. subgenus Decaloba (DC.) Rchb. supersection Cieca (Medik.) J. M. MacDougal & Feuillet (Passifloraceae)
Kristen Porter-Utley1
2014;
16597822
We have used potentiometric titrations to measure the pK values of the ionizable groups of proteins in alanine pentapeptides with appropriately blocked termini. These pentapeptides provide an improved model for the pK values of the ionizable groups in proteins. Our pK values determined in 0.1 M KCl at 25°C are: 3.67±0.03 (α-carboxyl), 3.67±0.04 (Asp), 4.25±0.05 (Glu), 6.54±0.04 (His), 8.00±0.03 (α-amino), 8.55±0.03 (Cys), 9.84±0.11 (Tyr), and 10.40±0.08 (Lys). The pK values of some groups differ from the Nozaki and Tanford (N&T) pK values often used in the literature: Asp (3.67 this work vs. 4.0 N&T); His (6.54 this work vs. 6.3 N&T); α-amino (8.00 this work vs. 7.5 N&T); Cys (8.55 this work vs. 9.5 N&T); and Tyr (9.84 this work vs. 9.6 N&T). Our pK values will be useful to those who study pK perturbations in folded and unfolded proteins, and to those who use theory to gain a better understanding of the factors that determine the pK values of the ionizable groups of proteins.
pK values, protein ionizable groups, pH titration, peptide model compounds
pK values of the ionizable groups of proteins
Richard L. Thurlkill,1,2,3 Gerald R. Grimsley,1 J. Martin Scholtz,1,2 and C. Nick Pace1,2
2006 May
19643312
Objective
To determine factors independently associated with Cardiac Rehabilitation (CR) referral, which are currently not well described at a national level.
Background
Substantial numbers of eligible patients are not referred to CR at hospital discharge despite proven reductions in mortality and national guideline recommendations.
Methods
We used data from the American Heart Association’s (AHA’s) Get With the Guidelines (GWTG) program, analyzing 72,817 patients discharged alive following a myocardial infarction (MI), percutaneous coronary intervention (PCI), or coronary artery bypass graft (CABG) surgery between 1/00 and 9/07 from 156 hospitals. We identified factors associated with CR referral at discharge and performed multivariable logistic regression, adjusted for clustering, to identify which factors were independently associated with CR referral.
Results
Mean age was 64.1±13.0 years, 68% were male, 79% white, 30% had diabetes, 66% hypertension, and 52% dyslipidemia; mean body mass index was 29.1±6.3 kg/m2 and mean ejection fraction 49.0±13.6%. All patients were admitted for coronary artery disease (CAD), with 71% admitted for MI. Overall, only 40,974 (56%) were referred to CR at discharge, ranging from 53% for MI, to 58% for PCI, and to 74% for CABG patients. Older age, non-ST-elevation MI, and the presence of most co-morbidities were associated with decreased odds of CR referral.
Conclusions
Despite strong evidence for benefit, only 56% of eligible CAD patients discharged from these hospitals were referred to CR. Increased physician awareness about the benefits of CR and initiatives to overcome barriers to referral are critical to improve the quality of care of patients with CAD.
coronary artery disease, exercise, prevention, cardiac rehabilitation
Predictors of Cardiac Rehabilitation Referral in Coronary Artery Disease Patients: Findings From the American Heart Association’s Get With the Guidelines Program
Todd M. Brown, MD, MSPH,* Adrian F. Hernandez, MD, MHS,† Vera Bittner, MD, MSPH, FACC,* Christopher P. Cannon, MD, FACC,‡ Gray Ellrodt, MD,§ Li Liang, PhD,† Eric D. Peterson, MD, MPH, FACC,† Ileana L. PiNa, MD, FACC,# Monika M. Safford, MD,* and Gregg C. Fonarow, MD, FACC¶, On Behalf of the American Heart Association Get With The Guidelines Investigators
2010 Aug 4.
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