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Application of Vis–NIR Hyperspectral Imaging for prediction of flavonoids, anthocyanins and soluble solids content in table grapes

Mario Gabrielli, Ecole Supérieure d’Agriculture, INRA, Francia

Application of Vis–NIR Hyperspectral Imaging for prediction of flavonoids, anthocyanins and soluble solids content in table grapes

Traditional analytical methods used for the measurement of grape maturity and its quality indexes have been proved to be normally sample-destructive, laborious and time-consuming, thereby limiting their utility in online/in-line quality monitoring. Moreover, destructive analyses can be performed only on a limited number of fruit pieces and, thus, their statistical relevance could be limited.

This study evaluated the ability of lab-scale hyperspectral imaging (HYP-IM) technique for predicting the soluble solids content (SSC), total flavonoids (TF) and total anthocyanins (TA) in different table grapes varieties.

Preliminary results showed a good correlation between each of the physico-chemical parameters and the spectral information.

Therefore, hyperspectral systems can be a fast and non-destructive promising technology to predict the levels of flavonoids, anthocyanins and soluble solids content of table grapes during the ripening and at harvest time.

Report presented at the SIVE OENOPPIA Awards 2019. The paper reproduced in this video-seminar was presented at the 12th edition of Enoforum (Vicenza, Italy, May 21-23, 2019).

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Published on 07/07/2020
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  • Application of VIDEO SEMINAR (Mario GABRIELLI; streaming 16 min)–NIR Hyperspectral Imaging for prediction of flavonoids, anthocyanins and soluble solids content in table grapes
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