Characteristics of fecal metabolic profiles in patients with irritable bowel syndrome with predominant diarrhea investigated using 1 H‐NMR coupled with multivariate statistical analysis

2020 ◽  
Vol 32 (6) ◽  
Author(s):  
Jae Soung Lee ◽  
Seok‐Young Kim ◽  
Yoon Shik Chun ◽  
Young‐Jin Chun ◽  
Seung Yong Shin ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Metabolic Profiles ◽  
Multivariate Statistical ◽  
H Nmr ◽  
Irritable Bowel

HR‐ 1 H NMR spectroscopy and multivariate statistical analysis to determine the composition of herbal mixtures for infusions

2020 ◽  
Author(s):  
Lucia Marchetti ◽  
Maria Cecilia Rossi ◽  
Federica Pellati ◽  
Stefania Benvenuti ◽  
Davide Bertelli
Keyword(s):  
Statistical Analysis ◽  
Nmr Spectroscopy ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical ◽  
H Nmr ◽  
Herbal Mixtures

scholarly journals Serum Metabolomic Profiling of Rats by Intervention of Aconitum soongaricum

2015 ◽  
Vol 10 (12) ◽  
pp. 1934578X1501001
Author(s):  
Fan Zhang ◽  
Jiao Liu ◽  
Jun Lei ◽  
Wenjing He ◽  
Yun Sun
Keyword(s):  
Statistical Analysis ◽  
Nmr Spectroscopy ◽  
Metabolic Profiles ◽  
Metabolomic Analysis ◽  
Serum Samples ◽  
Multivariate Statistical ◽  
H Nmr ◽  
Metabolomic Profiling ◽  
Clinical Detection ◽  
Endogenous Metabolites

To understand the toxic mechanism and to find the changes in the endogenous metabolites of Aconitum soongaricum Stapf for clinical detection, a combination of 1H NMR spectroscopy and multivariate statistical analysis was applied to examine the metabolic profiles of the blood serum samples collected from the rat model. In total, thirteen biomarkers of A. soongaricum were found and identified. It turned out that A. soongaricum treatment may partially disorder the metabolism. The study has shown the potential application of NMR-based metabolomic analysis in providing further insights into the toxicity caused by A. soongaricum.

Nontargeted 1 H NMR fingerprinting and multivariate statistical analysis for traceability of Greek PDO Vostizza currants

2021 ◽  
Author(s):  
Maria‐Eleni Dimitrakopoulou ◽  
Konstantina Matzarapi ◽  
Styliani Chasapi ◽  
Apostolos Vantarakis ◽  
Georgios A. Spyroulias
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical ◽  
H Nmr

Application of targeted1H NMR profiling to assess the seed vitality of soybean [Glycine max (L.) Merr.]

2017 ◽  
Vol 9 (11) ◽  
pp. 1792-1799 ◽  
Author(s):  
Wen-Ting Qin ◽  
Cai-qiong Yang ◽  
Nasir Iqbal ◽  
Jun-cai Deng ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Glycine Max ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Soybean Seed ◽  
Multivariate Statistical ◽  
H Nmr ◽  
Glycine Max L

A targeted1H NMR profiling method was developed for the simultaneous qualitation and quantitation of metabolites in soybean seed, and coupled PLS-DA multivariate statistical analysis helped us to assess seed vitality.

Multivariate statistical analysis of elements content in snow cover in Blagoveshchensk

2018 ◽  
Vol 52 (2) ◽  
pp. 15
Author(s):  
V. I. Radomskaya ◽  
D. V. Yusupov ◽  
L. М. Pavlova ◽  
А. G. Sеrgееvа ◽  
N. А. Bоrоdinа ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Snow Cover ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical

Multivariate Statistical Analysis Regarding the Formulation of Oxicam-Based Pharmaceutical Hydrogels

2017 ◽  
Vol 68 (4) ◽  
pp. 726-731
Author(s):  
Lenuta Maria Suta ◽  
Anca Tudor ◽  
Colette Roxana Sandulovici ◽  
Lavinia Stelea ◽  
Daniel Hadaruga ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Pharmaceutical Formulations ◽  
Analysis Data ◽  
Multivariate Statistical ◽  
Predictive Variables ◽  
Rapid Release ◽  
Computational Data ◽  
Experimental Protocols ◽  
Formulation Factors

In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.

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