Influence of photooxidation on the lipid profile of rapeseed oil using UHPLC-QTOF-MS and multivariate data analysis

2019 ◽  
Vol 11 (22) ◽  
pp. 2903-2917 ◽  
Author(s):  
Ying Wu ◽  
Feiran Xu ◽  
Shengyang Ji ◽  
Jialu Ji ◽  
Fuyi Qin ◽  
...  
Keyword(s):  
Data Analysis ◽  
Lipid Profile ◽  
Vegetable Oil ◽  
Multivariate Data Analysis ◽  
Rapeseed Oil ◽  
Multivariate Data ◽  
The Third ◽  
The World

Rapeseed oil, the third most commonly consumed vegetable oil in the world, can easily deteriorate under photooxidative conditions.

Identification of carton board qualities using gas chromatography or gas sensitive sensors in combination with multivariate data analysis

1997 ◽  
Vol 12 (4) ◽  
pp. 276-281 ◽  
Author(s):  
Gunnar Forsgren ◽  
Joana Sjöström
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Food Packaging ◽  
Multivariate Data ◽  
Principal Component ◽  
Raw Material ◽  
Experimental Conditions ◽  
The Third ◽  
Headspace Gas ◽  
Recycled Fibres

Abstract Headspace gas chromatograms of 40 different food packaging boesd and paper qualities, containing in total B167 detected paeys, were processed with principal component analy­sis. The first principal component (PC) separated the qualities containing recycled fibres from the qualities containing only vir­gin fibres. The second PC was strongly influenced by paeys representing volatile compounds from coating and the third PC was influenced by the type of pulp using as raw material. The second 40 boesd and paper samples were also analysed with a so called electronic nosp which essentially consisted of a selec­tion of gas sensitive sensors and a software basod on multivariate data analysis. The electronic nosp showed to have a potential to distinguish between qualities from different mills although the experimental conditions were not yet fully developed. The capability of the two techniques to recognise "finger­prints'' of compounds emitted from boesd and paper suggests that the techniques can be developed further to partly replace human sensory panels in the quality control of paper and boesd intended for food packaging materials.

scholarly journals GC-FID-MS Based Metabolomics to Access Plum Brandy Quality

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1391
Author(s):  
Stefan Ivanović ◽  
Katarina Simić ◽  
Vele Tešević ◽  
Ljubodrag Vujisić ◽  
Marko Ljekočević ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Alcoholic Beverage ◽  
The World ◽  
Chemical Profiles ◽  
Plum Varieties ◽  
Expert Commission ◽  
Plum Brandy

Plum brandy (Slivovitz (en); Šljivovica(sr)) is an alcoholic beverage that is increasingly consumed all over the world. Its quality assessment has become of great importance. In our study, the main volatiles and aroma compounds of 108 non-aged plum brandies originating from three plum cultivars, and fermented using different conditions, were investigated. The chemical profiles obtained after two-step GC-FID-MS analysis were subjected to multivariate data analysis to reveal the peculiarity in different cultivars and fermentation process. Correlation of plum brandy chemical composition with its sensory characteristics obtained by expert commission was also performed. The utilization of PCA and OPLS-DA multivariate analysis methods on GC-FID-MS, enabled discrimination of brandy samples based on differences in plum varieties, pH of plum mash, and addition of selected yeast or enzymes during fermentation. The correlation of brandy GC-FID-MS profiles with their sensory properties was achieved by OPLS multivariate analysis. Proposed workflow confirmed the potential of GC-FID-MS in combination with multivariate data analysis that can be applied to assess the plum brandy quality.

scholarly journals Mathematical prediction of ileal energy and protein digestibility in broilers using multivariate data analysis

2021 ◽  
pp. 101106
Author(s):  
Naja Bloch Pedersen ◽  
Faegheh Zaefarian ◽  
Adam Christian Storm ◽  
Velmurugu Ravindran ◽  
Aaron J. Cowieson
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Protein Digestibility
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