Page 58 - Application Notebook - Solution for Food Development

Application No.A524
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The score plot obtained by PCA is shown in Fig. 13. Results of the cluster analysis are shown in Fig. 15.
Pure olive oils are clustered in the positive direction Compared to the results obtained based on
along the dominant PC-1 axis and extra virgin olive oils absorbance, the A2 E and B1 E samples are included in
are clustered in the negative direction along the the pure olive oil group. This result also shows that
dominant PC-1 axis. This shows the olive oil types have while these samples are extra virgin olive oils, they tend
been separated. to be closer to pure olive oils. Using emission light
Compared to the score plot created based on spectra, we could predict which extra virgin olive oils
absorbance, the A2 E and B1 E samples are positioned are likely to contain more vitamins.
closer to the pure olive oil samples. While A2 E and B1 E
are both extra virgin olive oils, we can predict they are
similar to pure olive oils. The loading plot is shown in
Fig. 14. It shows a characteristic of the pure olive oils is
for strong signals at emission light analysis points A
through D, which are points predicted to be derived
from vitamins.

Tends to be Tends to be
extra virgin olive oil pure olive oil

C1 E
50000 A2 E
40000
C2 E 0 1 2 3 4 5 6 7 8 9 10
30000
Relative Distance
20000 B2 E
PC-2 (1 %) -10000 B1 E B1 E B1 P Fig. 15 Cluster Analysis Result Based on Olive Oil Absorbance
10000
0
-20000 F1 E B3 E Q Conclusion
Shimadzu UV-2700 UV-VIS spectrophotometer was used
-30000 A1 E D1 E to measure absorption spectra. Results showed the extra
-40000 A1 P virgin olive oils have a higher absorbance than the pure
-50000 olive oils. Next, the three-dimensional emission spectra of
-1000000 0 1000000 olive oils were measured using Shimadzu RF-6000
PC-1 (99 %)
spectrofluorophotometer. Differences in emission light
Fig. 13 Score Plot Based on Olive Oil Absorbance intensity and peak width were confirmed in the three-
dimensional emission spectra results. Multivariate
analysis was then performed based on each spectrum.
0.2 This allowed successful differentiation between the extra
virgin olive oils and pure olive oils, while results obtained
0 from the RF-6000 allowed identification of extra virgin
olive oils particularly similar to pure olive oils.
PC-2 (1 %) -0.2 <Acknowledgments>
We are grateful to Kazumi Hashimoto of the Polymer Photonics
Laboratory, Master's Program of Innovative Materials, Graduate School
-0.4
of Science and Technology, Kyoto Institute of Technology for providing
assistance in performing these measurements.
-0.6 1) The UnscrambleršX is a trademark or registered trademark of
CAMO Software.
-0.8

-1 -0.5 0
PC-1 (99 %)

Fig. 14 Loading Plot Based on Olive Oil Absorbance

First Edition: Dec. 2016

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