Abstract
The perceptual interactions between key aroma compounds (binary, ternary, and quaternary) of fruits were comprehensively evaluated using thresholds, odor activity values, Feller's additive model (S-curve), σ-τ diagram, and U model. Meanwhile, support vector machine (SVM) was initially introduced to evaluate and compare the 5 methods for selecting the most appropriate approach for investigating fruits aroma interaction. Finally, the effects of aroma molecular structure characteristics (chain length, functional group and substituent site) on the interaction was investigated. The results showed that S-curve, σ-τ diagram and U model are suitable for the binary and ternary systems, and σ-τ diagram and U model are suitable for quaternary systems. Furthermore, the functional groups strongly (P < 0.05) influenced the perception interactions. Especially, the greater the difference in carbon chain length, the more significant the synergistic effect of aldehydes and alcohols with similar chains, and the substituent site had no significant effect on aroma interactions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.