4. Conclusion
The developed method for metal determination in wine samples
by HR-CS F AAS via direct sample analysis showed to be fast and
reliable, providing a method with no need of sample pre-treatment
and with only little dilution. This is possible because secondary lines
could be used for elements present at high concentration and
selection of the appropriate number of pixels to increase or decrease
Fig. 9. Dendrogram for the Hierarchical Component Analysis. For acronyms see Table 3.
154 W. Boschetti et al. / Talanta 111 (2013) 147–155the sensitivity for those in microconcentration. Another advantage
was that all elements could be determined under optimal conditions
of operation and the sample consumption was reduced significantly.
The results obtained by the developed method for the wine
samples were used to observe groups with the same mineral
profile using PCA and HCA as statistical tools. Potassium, manganese,
rubidium and strontium were responsible for the group
formation. The statistical evaluation showed that Brazilian wines
can be separated according to their mineral profile, providing
seven distinct groups within the eight areas studied.
This investigation has shown that there is no need for a large
number of elements in order to clearly classify the origin of a wine
even within a relatively short distance of the production areas, as long
as the wines are not mixed, as it is often the case in commercial wines.
It might even be concluded that the results of previous studies carried
out with commercial wine samples using a great number of data, are
irrelevant as grapes of different origins might have been mixed and
caused a false and erroneous pattern. Obviously further studies should
be carried out in order to confirm this supposition.
4. Conclusion
The developed method for metal determination in wine samples
by HR-CS F AAS via direct sample analysis showed to be fast and
reliable, providing a method with no need of sample pre-treatment
and with only little dilution. This is possible because secondary lines
could be used for elements present at high concentration and
selection of the appropriate number of pixels to increase or decrease
Fig. 9. Dendrogram for the Hierarchical Component Analysis. For acronyms see Table 3.
154 W. Boschetti et al. / Talanta 111 (2013) 147–155the sensitivity for those in microconcentration. Another advantage
was that all elements could be determined under optimal conditions
of operation and the sample consumption was reduced significantly.
The results obtained by the developed method for the wine
samples were used to observe groups with the same mineral
profile using PCA and HCA as statistical tools. Potassium, manganese,
rubidium and strontium were responsible for the group
formation. The statistical evaluation showed that Brazilian wines
can be separated according to their mineral profile, providing
seven distinct groups within the eight areas studied.
This investigation has shown that there is no need for a large
number of elements in order to clearly classify the origin of a wine
even within a relatively short distance of the production areas, as long
as the wines are not mixed, as it is often the case in commercial wines.
It might even be concluded that the results of previous studies carried
out with commercial wine samples using a great number of data, are
irrelevant as grapes of different origins might have been mixed and
caused a false and erroneous pattern. Obviously further studies should
be carried out in order to confirm this supposition.
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