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Decursidate

$655

  • Brand : BIOFRON

  • Catalogue Number : AV-B02921

  • Specification : 95%

  • CAS number : 272122-56-2

  • Formula : C18H18O6

  • Molecular Weight : 330.33

  • PUBCHEM ID : 102004630

  • Volume : 5mg

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Quantity
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Catalogue Number

AV-B02921

Analysis Method

HPLC,NMR,MS

Specification

95%

Storage

2-8°C

Molecular Weight

330.33

Appearance

Powder

Botanical Source

Structure Type

Phenylpropanoids

Category

Standards;Natural Pytochemical;API

SMILES

COC1=C(C=CC(=C1)C=CC(=O)OCC(C2=CC=C(C=C2)O)O)O

Synonyms

(2S)-2-Hydroxy-2-(4-hydroxyphenyl)ethyl (2E)-3-(4-hydroxy-3-methoxyphenyl)acrylate/2-Propenoic acid, 3-(4-hydroxy-3-methoxyphenyl)-, (2S)-2-hydroxy-2-(4-hydroxyphenyl)ethyl ester, (2E)-

IUPAC Name

[(2S)-2-hydroxy-2-(4-hydroxyphenyl)ethyl] (E)-3-(4-hydroxy-3-methoxyphenyl)prop-2-enoate

Applications

Density

1.3±0.1 g/cm3

Solubility

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

Flash Point

214.9±23.6 °C

Boiling Point

587.1±50.0 °C at 760 mmHg

Melting Point

70-71℃

InChl

InChI=1S/C18H18O6/c1-23-17-10-12(2-8-15(17)20)3-9-18(22)24-11-16(21)13-4-6-14(19)7-5-13/h2-10,16,19-21H,11H2,1H3/b9-3+/t16-/m1/s1

InChl Key

CLQSQZGNPFWGAE-UOWSJYKBSA-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#:272122-56-2) 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.

PMID

272122

Abstract

Evidence that the first human neoplasm systematically explored with chemotherapeutic treatments has apparently been cured in a palpable segment of affected patients evokes optimism for other types of cancer. The application of similar effort, similar logic, and quantitative experimental therapeutic approaches to the common cancers augurs well for cancer research and clinical medicine.

Title

Therapeutic considerations in acute lymphocytic leukemia.

Author

J. F. Holland

Publish date

1978 Feb

PMID

31653219

Abstract

Background
Unplanned hospital admissions are costly and prevention of these has been a focus for research for decades. With this study we aimed to determine whether discharge planning including a single follow-up home visit reduces readmission rate. The intervention is not representing a new method but contributes to the evidence concerning intensity of the intervention in this patient group.

Methods
This study was a centrally randomized single-center controlled trial comparing intervention to usual care with investigator-blinded outcome assessment. Patients above the age of 65 were discharged from a single Danish hospital during 2013-2014 serving a rural and low socioeconomic area. For intervention patients study and department nurses reviewed discharge planning the day before discharge. On the day of discharge, study nurses accompanied the patient to their home, where they met with the municipal nurse. Together with the patient they reviewed cognitive skills, medicine, nutrition, mobility, functional status, and future appointments in the health care sector and intervened if appropriate.

Readmission at any hospital in Denmark within 8, 30, and 180 days after discharge is reported. Secondary outcomes were time to first readmission, number of readmissions, length of stay, and readmission with Ambulatory Care Sensitive Conditions, visits to general practitioners, municipal services, and mortality.

Results
One thousand forty-nine patients aged > 65 years discharged from medical, geriatric, emergency, surgical or orthopedic departments met inclusion criteria characteristic of frailty, e.g. low functional status, need of more personal help and multiple medications. Among 945 eligible patients, 544 were randomized. Seven patients died before discharge. 56% in the intervention group and 54% in the control group were readmitted (p = 0.71) and 23% from the intervention group and 22% from the control group died within 180 days. There were no significant differences between intervention and control groups concerning other secondary outcomes.

Conclusions
There was no effect of a single follow-up home visit on readmission in a group of frail elderly patients discharged from hospital.

Trial registration
https://clinicaltrials.gov (identifier NCT02318680), retrospectively registered December 11, 2014

KEYWORDS

Discharge planning, Readmission, Frailty, Elderly, Clinical trial

Title

Effect of single follow-up home visit on readmission in a group of frail elderly patients - a Danish randomized clinical trial

Author

Maurice A. Lembeck,corresponding author1 Lau C. Thygesen,2 Birgitte Dreyer Sørensen,3 Lisbeth Lumby Rasmussen,4 and Ellen A. Holm1

Publish date

2019;

PMID

27685320

Abstract

In this study, quantitative structure activity relationship (QSAR) models for the antioxidant activity of polysaccharides were developed with 50% effective concentration (EC50) as the dependent variable. To establish optimum QSAR models, multiple linear regressions (MLR), support vector machines (SVM) and artificial neural networks (ANN) were used, and 11 molecular descriptors were selected. The optimum QSAR model for predicting EC50 of DPPH-scavenging activity consisted of four major descriptors. MLR model gave EC50 = 0.033Ara-0.041GalA-0.03GlcA-0.025PC+0.484, and MLR fitted the training set with R = 0.807. ANN model gave the improvement of training set (R = 0.96, RMSE = 0.018) and test set (R = 0.933, RMSE = 0.055) which indicated that it was more accurately than SVM and MLR models for predicting the DPPH-scavenging activity of polysaccharides. 67 compounds were used for predicting EC50 of the hydroxyl radicals scavenging activity of polysaccharides. MLR model gave EC50 = 0.12PC+0.083Fuc+0.013Rha-0.02UA+0.372. A comparison of results from models indicated that ANN model (R = 0.944, RMSE = 0.119) was also the best one for predicting the hydroxyl radicals scavenging activity of polysaccharides. MLR and ANN models showed that Ara and GalA appeared critical in determining EC50 of DPPH-scavenging activity, and Fuc, Rha, uronic acid and protein content had a great effect on the hydroxyl radicals scavenging activity of polysaccharides. The antioxidant activity of polysaccharide usually was high in MW range of 4000-100000, and the antioxidant activity could be affected simultaneously by other polysaccharide properties, such as uronic acid and Ara.

Title

Quantitative Structure Activity Relationship Models for the Antioxidant Activity of Polysaccharides

Author

Zhiming Li,# Kaiying Nie,‡ Zhaojing Wang,‡ and Dianhui Luo#*

Publish date

2016;