Determination of Aspirin Tablet Manufacturers by an NMR-based Metabolomic Approach

2009 ◽  
Vol 39 (1) ◽  
pp. 43-49
Author(s):  
Moon-Young Choi ◽  
Sun-Mi Kang ◽  
Jeong-Hill Park ◽  
Sung-Won Kwon
Keyword(s):  
Aspirin Tablet ◽  
Metabolomic Approach

Determination of coffee origins by integrated metabolomic approach of combining multiple analytical data

2010 ◽  
Vol 121 (4) ◽  
pp. 1260-1268 ◽  
Author(s):  
Moon-Young Choi ◽  
Wanseok Choi ◽  
Jeong Hill Park ◽  
Johan Lim ◽  
Sung Won Kwon
Keyword(s):  
Analytical Data ◽  
Metabolomic Approach

scholarly journals Monitoring the Modifications of the Vitreous Humor Metabolite Profile after Death: An Animal Model

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Maria Francesca Rosa ◽  
Paola Scano ◽  
Antonio Noto ◽  
Matteo Nioi ◽  
Roberta Sanna ◽  
...  
Keyword(s):  
Principal Component ◽  
Metabolite Profile ◽  
Vitreous Humor ◽  
Multivariate Statistical ◽  
H Nmr ◽  
Multivariate Statistical Approach ◽  
Compositional Changes ◽  
Latent Structures ◽  
Metabolomic Approach

We applied a metabolomic approach to monitor the modifications occurring in goat vitreous humor (VH) metabolite composition at different times (0, 6, 12, 18, and 24 hours) after death. The1H-NMR analysis of the VH samples was performed for the simultaneous determination of several metabolites (i.e., the metabolite profile) representative of the VHstatusat different times. Spectral data were analyzed by Principal Component Analysis (PCA) and by Orthogonal Projection to Latent Structures (OPLS) regression technique. PCA and OPLS suggested that different spectral regions were involved in time-related changes. The major time-related compositional changes, here detected, were the increase of lactate, hypoxanthine, alanine, total glutathione, choline/phosphocholine, creatine, andmyo-inositol and the decrease of glucose and 3-hydroxybutyrate. We attempted a speculative interpretation of the biological mechanisms underlying these changes. These results show that multivariate statistical approach, based on1H NMR metabolite profiling, is a powerful tool for detecting ongoing differences in VH composition and may be applied to investigate several physiological and pathological conditions.

Metabolomic approach for determination of urinary nucleosides as potential tumor markers using electromigration techniques

2010 ◽  
Vol 31 (14) ◽  
pp. 2300-2310 ◽  
Author(s):  
Michal J. Markuszewski ◽  
Wiktoria Struck ◽  
Malgorzata Waszczuk-Jankowska ◽  
Roman Kaliszan
Keyword(s):  
Tumor Markers ◽  
Urinary Nucleosides ◽  
Metabolomic Approach

scholarly journals Comparative metabolomic analysis of caecal digesta between Jinhua pig and Landrace pig

2019 ◽  
Vol 64 (No. 8) ◽  
pp. 332-342
Author(s):  
Yujie Gong ◽  
Xiaoting Zou ◽  
Wenrui Xia ◽  
Xueting Wen ◽  
Xiaojun Zhang ◽  
...  
Keyword(s):  
Short Chain Fatty Acids ◽  
Metabolomic Analysis ◽  
Citrate Cycle ◽  
Flight Mass Spectrometry ◽  
Metabolic Difference ◽  
Tyrosine Metabolism ◽  
Pig Farm ◽  
Landrace Pig ◽  
Metabolomic Approach

The metabolic difference in caecal digesta between Jinhua pig and Landrace pig was compared. Twenty weaned piglets at 28 days of age, including ten Landrace pigs (a Western pig breed) and ten Jinhua pigs (a Chinese native pig breed), were randomly selected and allocated into two groups. The pigs were fed the same corn-soybean diet on the same pig farm. At the age of 240 days, all pigs of each group were slaughtered, the digesta in the caecum of the twenty pigs were collected for metabolomic analysis and determination of short-chain fatty acids (SCFAs). The results showed that a total of 56 different metabolites (22 metabolites named and 34 metabolites without identification) were detected in caecal digesta using a gas chromatography time-of-flight/mass spectrometry (GC-TOF-MS)-based metabolomic approach. Forty-six of the 56 metabolites were upregulated significantly (P < 0.05) in Landrace group compared with Jinhua group. The metabolic pathways with different impact value in which different metabolites were mainly involved were tyrosine metabolism, citrate cycle and steroid biosynthesis. In addition, we found that Landrace accumulated more SCFAs in caecal digesta, while the concentrations of acetic acid (P < 0.01) and butyric acid (P < 0.05) in caecal digesta of Jinhua pig were markedly lower than those of Landrace pig. Collectively, our study was the first to compare the metabolic difference in caecal digesta between Jinhua pig and Landrace pig using a metabolomics approach, which might be used as a potential metabolomics mechanism to research different breeds of pigs.

Galactic orbits of stars

1966 ◽  
Vol 25 ◽  
pp. 93-97
Author(s):  
Richard Woolley
Keyword(s):  
Globular Cluster ◽  
Potential Field ◽  
High Velocity ◽  
Velocity Vector ◽  
Variable Stars ◽  
The Sun ◽  
Proper Motions ◽  
Rr Lyrae ◽  
The Galaxy

It is now possible to determine proper motions of high-velocity objects in such a way as to obtain with some accuracy the velocity vector relevant to the Sun. If a potential field of the Galaxy is assumed, one can compute an actual orbit. A determination of the velocity of the globular clusterωCentauri has recently been completed at Greenwich, and it is found that the orbit is strongly retrograde in the Galaxy. Similar calculations may be made, though with less certainty, in the case of RR Lyrae variable stars.

Distance to SN 1987A and the LMC

1999 ◽  
Vol 190 ◽  
pp. 549-554
Author(s):  
Nino Panagia
Keyword(s):  
Angular Size ◽  
Large Magellanic Cloud ◽  
Magellanic Cloud ◽  
Light Curves ◽  
Distance Modulus ◽  
Absolute Size ◽  
Sn 1987A

Using the new reductions of the IUE light curves by Sonneborn et al. (1997) and an extensive set of HST images of SN 1987A we have repeated and improved Panagia et al. (1991) analysis to obtain a better determination of the distance to the supernova. In this way we have derived an absolute size of the ringRabs= (6.23 ± 0.08) x 1017cm and an angular sizeR″ = 808 ± 17 mas, which give a distance to the supernovad(SN1987A) = 51.4 ± 1.2 kpc and a distance modulusm–M(SN1987A) = 18.55 ± 0.05. Allowing for a displacement of SN 1987A position relative to the LMC center, the distance to the barycenter of the Large Magellanic Cloud is also estimated to bed(LMC) = 52.0±1.3 kpc, which corresponds to a distance modulus ofm–M(LMC) = 18.58±0.05.

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