Home > VII International Conference Postharvest Unlimited > Prediction of tomato overall liking from instrumental analysis: tomato flavor model

Articles

Prediction of tomato overall liking from instrumental analysis: tomato flavor model

Article number

1396_31

Pages

229 – 234

Language

English

Abstract

Flavor is considered one of the important drivers of tomato consumer liking.
The characteristic tomato flavor is the result of the interaction of a diverse set of compounds, including sugars, acids, and aromatic volatiles.
Evaluating this complex flavor attribute is prone to limitations due to the cost and several technical constraints.
Prediction of the outcome of a hedonic panel from the instrumental response might potentially reduce the need for sensory panels, which are inherently limited by their low throughput.
To tackle this issue, we developed a multivariate statistical model that can predict consumer liking by linking untargeted volatilome data together with some classical quality measurements (total soluble solids, acidity, color, and firmness) to the corresponding consumer scores.

Publication

VII International Conference Postharvest Unlimited

Authors

A. Benchennouf, S. Buysens, J. Van Steenkiste, D.J. Vanhees, M. Hertog, B. Nicolaï

Keywords

tomato, flavor, quality, consumer liking, SIFT-MS

Full text

https://doi.org/10.17660/ActaHortic.2024.1396.31

Groups involved

Online Articles (82)

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31. Prediction of tomato overall liking from instrumental analysis: tomato flavor model

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