Perfume Engineering. Design, Performance & Classification by Miguel A. Teixeira, Oscar Rodriguez, Paula Gomes, Vera Mata

By Miguel A. Teixeira, Oscar Rodriguez, Paula Gomes, Vera Mata and Alirio Rodrigues (Auth.)

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This is important because its smell is undesired for the final perfume product. 5 CONCLUSION The PTDs and PQ2Ds tools allow presenting in a simple and easyto-interpret graph the odor space of perfume mixtures. They can be used to explore the starting formulation of the perfume mixture, or to compare the effect of different components: here we have shown the influence of base notes and the role of water in the impact of the fragrance. The methodology also allows showing the qualitative odor character of these mixtures.

22) with i, j, k as fragrant components and (being i6¼j6¼k). The PTL results from the intersection of two different PBS. This means that a PTL crosses the quaternary diagram in the thin region where three fragrant components have the same maximum OV (OVmax). Moreover, in a quaternary mixture, it is possible to have one or more compositions where all the components share the maximum OV. 23) where i, j, k, and l are fragrant components (being i6¼j6¼k6¼l). Similarly, the composition of the PQP is also set by the intersection of three different PTLs.

Adapted with permission from Teixeira et al. (2009). r 2009, John Wiley & Sons. 31 Design of Perfumes A different thing is the quantitative prediction of the odor intensity of mixtures. Should the inclusion of nonidealities in our modeling be of significant importance in the prediction of odor intensities for perfume mixtures? In order to assess that effect, we have compared the distribution of OVs for all possible ternary and quaternary (diluted) mixtures of the previous perfumery system. The predicted planes of dominant OVs for such mixtures are presented in Fig.

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