Page 52 - Application Notebook - Solution for Food Development

Application No.C134
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n Multivariate Analysis with Traverse MS Software
TM
Using the area ratio of each constituent (58 Lager beer B
constituents) compared against the internal standard, a
principal component analysis (PCA) was performed for
TM
the five beers using the Traverse MS software. PCA
results showing different quantities of constituents in Non-alcoholic beer
each beer are presented in Fig. 2. Score plot and
loading plot results are also shown in Fig. 2. The five
Ale beer
beers can be seen to appear fully separated on the Ale beer
score plot. From the loading plot, we also determined
constituents that were characteristic to each beer. We
confirmed that a number of amino acids and
nucleosides differed markedly between the beers. Low-malt beer Lager beer A

Next, the area ratio of detected constituents was used
to perform hierarchical clustering analysis of the five
TM
beers using the Traverse MS software. The results of
this analysis are shown in Fig. 3. Autoscaling was used Phenylalanine
to normalize area ratios between samples. As shown in Leucine
Fig. 3, the lager beers and ale beer are grouped Isoleucine
relatively close to each other, and the low-malt beer Valine
and non-alcoholic beer are also grouped close to each
other. Hierarchical clustering analysis provides a visual
representation of the degree of similarity between the Adenosine
beers in terms of their constituents. Performing a
comprehensive analysis of food constituents in this way
and combining it with multivariate analysis makes it Proline
easy to evaluate which constituents affect food quality Guanosine
and function. This combination of comprehensive
simultaneous analysis and multivariate analysis is
expected to become more commonly used for quality
evaluation of food in the future. Fig. 2 Principal Component Analysis of Five Beers

Lager beer A Ale beer Lager beer B Low-malt beer Non-alcoholic beer
Fig. 3 Hierarchical Clustering Analysis of Five Beers
First Edition: Jul. 2016
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