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Oleanonic acid

$154

  • Brand : BIOFRON

  • Catalogue Number : BD-P0044

  • Specification : 98.0%(HPLC)

  • CAS number : 17990-42-0

  • Formula : C30H46O3

  • Molecular Weight : 454.7

  • PUBCHEM ID : 12313704

  • Volume : 20mg

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Catalogue Number

BD-P0044

Analysis Method

Specification

98.0%(HPLC)

Storage

-20℃

Molecular Weight

454.7

Appearance

Powder

Botanical Source

This product is isolated and purified from the leaves of Eriobotrya japonica Thunb.

Structure Type

Category

SMILES

CC1(CCC2(CCC3(C(=CCC4C3(CCC5C4(CCC(=O)C5(C)C)C)C)C2C1)C)C(=O)O)C

Synonyms

oleanoic acid/3-oxooleana-12-en-28-oic acid/Olean-12-en-28-oic acid,3-oxo/oleanonic acid/3-oxo-oleanolic acid/3-Oxoolean-12-en-28-oic acid/Olean-12-en-28-oic acid, 3-oxo-/3-keto oleanolic acid/3-oxo-olean-12-en-28-oic acid

IUPAC Name

Applications

Density

1.1±0.1 g/cm3

Solubility

Methanol

Flash Point

301.5±26.6 °C

Boiling Point

551.7±50.0 °C at 760 mmHg

Melting Point

InChl

InChl Key

FMIMFCRXYXVFTA-FUAOEXFOSA-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#:17990-42-0) 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

26213935

Abstract

The measurement of soil total nitrogen (TN) by hyperspectral remote sensing provides an important tool for soil restoration programs in areas with subsided land caused by the extraction of natural resources. This study used the local correlation maximization-complementary superiority method (LCMCS) to establish TN prediction models by considering the relationship between spectral reflectance (measured by an ASD FieldSpec 3 spectroradiometer) and TN based on spectral reflectance curves of soil samples collected from subsided land which is determined by synthetic aperture radar interferometry (InSAR) technology. Based on the 1655 selected effective bands of the optimal spectrum (OSP) of the first derivate differential of reciprocal logarithm ([log{1/R}]′), (correlation coefficients, p < 0.01), the optimal model of LCMCS method was obtained to determine the final model, which produced lower prediction errors (root mean square error of validation [RMSEV] = 0.89, mean relative error of validation [MREV] = 5.93%) when compared with models built by the local correlation maximization (LCM), complementary superiority (CS) and partial least squares regression (PLS) methods. The predictive effect of LCMCS model was optional in Cangzhou, Renqiu and Fengfeng District. Results indicate that the LCMCS method has great potential to monitor TN in subsided lands caused by the extraction of natural resources including groundwater, oil and coal.

KEYWORDS

hyperspectral reflectance, ASD FieldSpec spectroradiometers, local correlation maximization-complementary superiority, soil total nitrogen, subsided land

Title

Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Maximization-Complementary Superiority (LCMCS) Method

Author

Lixin Lin,1,2 Yunjia Wang,1,2,* Jiyao Teng,1,2 and Xiuxiu Xi1,2

Publish date

2015 Aug;

PMID

25008357

Abstract

Background
BAG3 gene mutations have been recently implicated as a novel cause of dilated cardiomyopathy (DCM). Our aim was to evaluate the prevalence of BAG3 mutations in Polish patients with DCM and to search for genotype-phenotype correlations.

Methods
We studied 90 unrelated probands by direct sequencing of BAG3 exons and splice sites. Large deletions/insertions were screened for by quantitative real time polymerase chain reaction (qPCR).

Results
We found 5 different mutations in 6 probands and a total of 21 mutations among their relatives: the known p.Glu455Lys mutation (2 families), 4 novel mutations: p.Gln353ArgfsX10 (c.1055delC), p.Gly379AlafsX45 (c.1135delG), p.Tyr451X (c.1353C>A) and a large deletion of 17,990 bp removing BAG3 exons 3-4. Analysis of mutation positive relatives of the probands from this study pooled with those previously reported showed higher DCM prevalence among those with missense vs. truncating mutations (OR = 8.33, P = 0.0058) as well as a difference in age at disease onset between the former and the latter in Kaplan-Meier survival analysis (P = 0.006). Clinical data from our study suggested that in BAG3 mutation carriers acute onset DCM with hemodynamic compromise may be triggered by infection.

Conclusions
BAG3 point mutations and large deletions are relatively frequent cause of DCM. Delayed DCM onset associated with truncating vs. non-truncating mutations may be important for genetic counseling.

KEYWORDS

BAG3, Mutation, Penetrance, Dilated cardiomyopathy, Inherited heart disease

Title

The BAG3 gene variants in Polish patients with dilated cardiomyopathy: four novel mutations and a genotype-phenotype correlation

Author

Maria Franaszczyk,1 Zofia T Bilinska,2 Małgorzata Sobieszczańska-Małek,3 Ewa Michalak,2 Justyna Sleszycka,4 Agnieszka Sioma,2 Łukasz A Małek,5 Dorota Kaczmarska,2 Ewa Walczak,6 Paweł Włodarski,7 Łukasz Hutnik,7 Blanka Milanowska,2 Zofia Dzielinska,8 Grzegorz Religa,9 Jacek Grzybowski,4 Tomasz Zieliński,3 and Rafal Ploskicorresponding author10

Publish date

2014

PMID

23157803

Abstract

Background
Education-based inequalities in health are well established, but they are usually studied from an individual perspective. However, many individuals are part of a couple. We studied education-based health inequalities from the perspective of couples where indicators of health were measured by subjective health, anxiety and depression.

Methods
A sample of 35,980 women and men (17,990 couples) was derived from the Norwegian Nord-Trøndelag Health Study 1995-97 (HUNT 2). Educational data and family identification numbers were obtained from Statistics Norway. The dependent variables were subjective health (four-integer scale), anxiety (21-integer scale) and depression (21-integer scale), which were captured using the Hospital Anxiety and Depression Scale. The dependent variables were rescaled from 0 to 100 where 100 was the worst score. Cross-sectional analyses were performed using two-level linear random effect regression models.

Results
The variance attributable to the couple level was 42% for education, 16% for subjective health, 19% for anxiety and 25% for depression. A one-year increase in education relative to that of one’s partner was associated with an improvement of 0.6 scale points (95% confidence interval = 0.5-0.8) in the subjective health score (within-couple coefficient). A one-year increase in a couple’s average education was associated with an improvement of 1.7 scale points (95% confidence interval = 1.6-1.8) in the subjective health score (between-couple coefficient). There were no education-based differences in the anxiety or depression scores when partners were compared, whereas there were substantial education-based differences between couples in all three outcome measures.

Conclusions
We found considerable clustering of education and health within couples, which highlighted the importance of the family environment. Our results support previous studies that report the mutual effects of spouses on education-based inequalities in health, suggesting that couples develop their socioeconomic position together.

KEYWORDS

Anxiety, Couples, Depression, Education, Family health, Multilevel analysis, Subjective health

Title

Education-based health inequalities in 18,000 Norwegian couples: the Nord-Trøndelag Health Study (HUNT)

Author

Sara Marie Nilsen,corresponding author1,2,7 Johan Hakon Bjørngaard,1,3 Linda Ernstsen,4 Steinar Krokstad,5,6 and Steinar Westin1

Publish date

2012