4.6 Article

Effect of processing and accelerated storage on the volatile composition and sensory profile of a tomato soup

Journal

FOOD QUALITY AND SAFETY
Volume 6, Issue -, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/fqsafe/fyac024

Keywords

Volatile composition; sensory profile; accelerated storage; tomato soup; shelf life; prediction; partial least dquares regression

Funding

  1. European Union [765415]

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This study compared the changes in volatile and sensory profiles of pasteurized and sterilized tomato soup under accelerated storage conditions. Results indicate that sterilization leads to more profound changes over storage, and specific compounds were found to be associated with sensory quality changes.
The volatile and sensory profile of pasteurized (95 degrees C, 18 min) and sterilized (120 degrees C, 14 min) tomato soup and its changes at accelerated storage conditions (37 degrees C and 42 degrees C) were identified, characterized, and correlated by predictive models. Sterilization led to more profound changes over storage compared to pasteurisation, showing enhanced levels of 'dark' odour, 'burnt' flavour, and 'complexity', while pasteurized soup had more pronounced 'green' odour, 'vegetables' flavour, 'harmony', and 'freshness'. Over time, 'dark' and 'burnt' significantly increased for sterilized soups, whereas 'green' decreased significantly only for sterilized soup stored at 42 degrees C. The changes of 'dark', 'green', 'off-flavour', 'burnt', 'harmony', and 'freshness' were associated with formation of furans (furfural and 2-acetyl-5-methylfuran), and decline of unsaturated aldehydes like E-2-octenal and E,E-2,4-heptadienal. These compounds were identified to represent potential shelf-life markers, yet more studies on their odour activity in the tomato soup matrix are necessary to understand their contribution to the sensory quality. The construction of partial least squares models allowed the prediction of 'green', 'off-flavour', 'burnt', and 'freshness' based on selected volatiles. These models will be important tools in the process of predicting the end of shelf life, but need to be supplemented with consumer acceptability levels.

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