2019
DOI: 10.1016/j.jfoodeng.2019.06.008
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Discrimination of astringent and deastringed hard ‘Rojo Brillante’ persimmon fruit using a sensory threshold by means of hyperspectral imaging

Abstract: Discrimination of astringent and deastringed hard 'Rojo Brillante'persimmon fruit using a sensory threshold by means of hyperspectral imaging.

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Cited by 20 publications
(10 citation statements)
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“…Munera and co-workers have been evaluating the effectiveness of de-astringency treatments by HSI [ 116 ]. It has been employed in post-harvested or post-treated persimmon fruit to detect residual astringency [ 117 ]. Exposing these fruits to high CO 2 concentration treatments (95–98%) promoted anaerobic respiration in the fruit, making tannins insoluble at the end of the treatment and astringency to be no longer detected.…”
Section: Techniques To Quantify Astringencymentioning
confidence: 99%
“…Munera and co-workers have been evaluating the effectiveness of de-astringency treatments by HSI [ 116 ]. It has been employed in post-harvested or post-treated persimmon fruit to detect residual astringency [ 117 ]. Exposing these fruits to high CO 2 concentration treatments (95–98%) promoted anaerobic respiration in the fruit, making tannins insoluble at the end of the treatment and astringency to be no longer detected.…”
Section: Techniques To Quantify Astringencymentioning
confidence: 99%
“…"Rojo Brillante" is one of the main cultivars produced in the Mediterranean area, including Italy. Among the other and known persimmon cultivars, the "Rojo Brillante" is the most popular cultivar due to its high productivity and commercial quality [3,4]. This persimmon cultivar is seedless and ripens faster than the other cultivars.…”
Section: Introductionmentioning
confidence: 99%
“…The resulting spectrum was then normalised by the mean centre. A 10-fold CV was used to obtain the optimal number of latent variables (LV), as well as an estimate of the error rate of the models [30]. The results of the PLS-DA models were expressed as a percentage of correct classification for the calibration (using CV) and test sets.…”
Section: Discussionmentioning
confidence: 99%