Biplot analysis to describe the relationships between plant and microbial fatty acids in ingested herbage

2005 ◽  
Vol 2005 ◽  
pp. 191-191
Author(s):  
E. J. Kim ◽  
R. Sanderson ◽  
M. S. Dhanoa ◽  
R. J. Dewhurst
Keyword(s):  
Fatty Acids ◽  
Statistical Analysis ◽  
Microbial Activity ◽  
Multivariate Statistical Analysis ◽  
Microbial Contamination ◽  
Multivariate Statistical ◽  
Biplot Analysis ◽  
Odd Chain Fatty Acids ◽  
Chain Fatty Acids

The Dacron bag technique has been widely used to estimate degradation in the rumen. The drawbacks, such as variation in rinsing losses and inability to correct for microbial contamination, are well known. However, these effects also suggest the potential to use the technique in studies of microbial colonisation. Other studies in our laboratory have investigated the use of odd-chain fatty acids (C15:0 and C17:0) as markers of rumen microbial activity (Fievez et al, 2003) because they are generally rare or absent from feeds. The objective of this work was to use multivariate statistical analysis to explore the relationships between plant and microbial fatty acids in ingested herbage.

Odd-chain fatty acids as markers of the microbial colonisation of freshly-ingested grass and microbial contamination of dacron bag residues

2002 ◽  
Vol 2002 ◽  
pp. 50-50 ◽  
Author(s):  
E. J. Kim ◽  
R. T. Evans ◽  
J. K. S. Tweed ◽  
D. R. Davies ◽  
R. J. Merry ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Microbial Contamination ◽  
Technical Problems ◽  
Rumen Microbes ◽  
Rumen Degradation ◽  
Plant Enzymes ◽  
Odd Chain Fatty Acids ◽  
Chain Fatty Acids

The overall objective of our work is to assess the relative contributions of plant enzymes and rumen microbes to rumen degradation of freshly-ingested herbage. In situ techniques have been used extensively to compare rumen degradation characteristics of feeds, though there remain technical problems associated with microbial contamination of residues after incubation. We hypothesised that techniques to study microbial contamination might also provide insights into microbial colonisation. Our earlier studies (Lee et al., 1999) identified distinctive odd-chain fatty acids that could be used as microbial markers. A dacron bag study was conducted to examine the influence of dacron bag rinsing techniques on DM disappearance and microbial contamination in residues from fresh grass, assessed using odd-chain fatty acids as markers.

Comparison of fatty acids of marine fungi using multivariate statistical analysis

1993 ◽  
Vol 12 (6) ◽  
pp. 373-378 ◽  
Author(s):  
Joseph J. Cooney ◽  
Mark M. Doolittle ◽  
Otto Grahl-Nielsen ◽  
Inger M. Haaland ◽  
Paul W. Kirk
Keyword(s):  
Fatty Acids ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Marine Fungi ◽  
Multivariate Statistical

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.

scholarly journals Nuclear Magnetic Resonance Metabolomics with Double Pulsed-Field-Gradient Echo and Automatized Solvent Suppression Spectroscopy for Multivariate Data Matrix Applied in Novel Wine and Juice Discriminant Analysis

Molecules ◽  
2021 ◽  
Vol 26 (14) ◽  
pp. 4146
Author(s):  
José Enrique Herbert-Pucheta ◽  
José Daniel Lozada-Ramírez ◽  
Ana E. Ortega-Regules ◽  
Luis Ricardo Hernández ◽  
Cecilia Anaya de Parrodi
Keyword(s):  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Field Gradient ◽  
Multivariate Statistical Analysis ◽  
Data Matrix ◽  
Cabernet Sauvignon ◽  
Gradient Echo ◽  
Multivariate Statistical ◽  
Orthogonal Projections ◽  
Pulsed Field

The quality of foods has led researchers to use various analytical methods to determine the amounts of principal food constituents; some of them are the NMR techniques with a multivariate statistical analysis (NMR-MSA). The present work introduces a set of NMR-MSA novelties. First, the use of a double pulsed-field-gradient echo (DPFGE) experiment with a refocusing band-selective uniform response pure-phase selective pulse for the selective excitation of a 5–10-ppm range of wine samples reveals novel broad 1H resonances. Second, an NMR-MSA foodomics approach to discriminate between wine samples produced from the same Cabernet Sauvignon variety fermented with different yeast strains proposed for large-scale alcohol reductions. Third a comparative study between a nonsupervised Principal Component Analysis (PCA), supervised standard partial (PLS-DA), and sparse (sPLS-DA) least squares discriminant analysis, as well as orthogonal projections to a latent structures discriminant analysis (OPLS-DA), for obtaining holistic fingerprints. The MSA discriminated between different Cabernet Sauvignon fermentation schemes and juice varieties (apple, apricot, and orange) or juice authentications (puree, nectar, concentrated, and commercial juice fruit drinks). The new pulse sequence DPFGE demonstrated an enhanced sensitivity in the aromatic zone of wine samples, allowing a better application of different unsupervised and supervised multivariate statistical analysis approaches.

scholarly journals Metabolomic-Based Comparison of Traditional and Industrial Doenjang Samples with Antioxidative Activities

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1377
Author(s):  
Song-Hui Soung ◽  
Sunmin Lee ◽  
Seung-Hwa Lee ◽  
Hae-Jin Kim ◽  
Na-Rae Lee ◽  
...  
Keyword(s):  
Amino Acids ◽  
Statistical Analysis ◽  
Organic Acids ◽  
Biogenic Amines ◽  
Multivariate Statistical Analysis ◽  
Metabolite Profiling ◽  
New Products ◽  
Multivariate Statistical ◽  
Fermentation Processes

Numerous varieties of doenjang are manufactured by many food companies using different ingredients and fermentation processes, and thus, the qualities such as taste and flavor are very different. Therefore, in this study, we compared many products, specifically, 19 traditional doenjang (TD) and 17 industrial doenjang (ID). Subsequently, we performed non-targeted metabolite profiling, and multivariate statistical analysis to discover distinct metabolites in two types of doenjang. Amino acids, organic acids, isoflavone aglycones, non-DDMP (2,3-dihydro-2,5-dihydroxy-6-methyl-4H-pyran-4- one) soyasaponins, hydroxyisoflavones, and biogenic amines were relatively abundant in TD. On the contrary, contents of dipeptides, lysophospholipids, isoflavone glucosides and DDMP-conjugated soyasaponin, precursors of the above-mentioned metabolites, were comparatively higher in ID. We also observed relatively higher antioxidant, protease, and β-glucosidase activities in TD. Our results may provide valuable information on doenjang to consumers and manufacturers, which can be used while selecting and developing new products.

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