Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging
Visible near-infrared (450-1040 nm) hyperspectral reflectance imaging was studied in order to assess the internal physicochemical properties and sensory perception of 'Big Top' and 'Magique' nectarines (Prunus persica L Batsch var. nucipersica) (yellow and white-flesh cultivar, respectively) during...
| Autores principales: | , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
2018
|
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6075 |
| _version_ | 1855032362407034880 |
|---|---|
| author | Munera, Sandra Amigo, José M. Blasco, José Cubero, Sergio Talens, Pau Aleixos, Nuria |
| author_browse | Aleixos, Nuria Amigo, José M. Blasco, José Cubero, Sergio Munera, Sandra Talens, Pau |
| author_facet | Munera, Sandra Amigo, José M. Blasco, José Cubero, Sergio Talens, Pau Aleixos, Nuria |
| author_sort | Munera, Sandra |
| collection | ReDivia |
| description | Visible near-infrared (450-1040 nm) hyperspectral reflectance imaging was studied in order to assess the internal physicochemical properties and sensory perception of 'Big Top' and 'Magique' nectarines (Prunus persica L Batsch var. nucipersica) (yellow and white-flesh cultivar, respectively) during ripening using the Ripening Index (RPI) and the Internal Quality Index (IQI). Hyperspectral images of the intact fruits were acquired during the ripeness under controlled conditions, and their physicochemical properties (flesh firmness, total soluble solids, titratable acidity and flesh colour) were analysed. IQI and RPI were used to relate the spectral information obtained from nectarines with the physicochemical properties and the sensory perception of their maturity using Partial Least Square (PLS) regression with proper variable selection. Optimal results were obtained with R-2 values higher than 0.87 for the two indices and the two cultivars. The ripeness of each fruit could be visualised by projecting the PLS models of the IQI on the pixels of the fruits in the images, showing great potential for further monitoring of the evolution of intact nectarine ripeness in industrial setups. |
| format | article |
| id | ReDivia6075 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | ReDivia60752025-04-25T14:46:07Z Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging Munera, Sandra Amigo, José M. Blasco, José Cubero, Sergio Talens, Pau Aleixos, Nuria Visible near-infrared (450-1040 nm) hyperspectral reflectance imaging was studied in order to assess the internal physicochemical properties and sensory perception of 'Big Top' and 'Magique' nectarines (Prunus persica L Batsch var. nucipersica) (yellow and white-flesh cultivar, respectively) during ripening using the Ripening Index (RPI) and the Internal Quality Index (IQI). Hyperspectral images of the intact fruits were acquired during the ripeness under controlled conditions, and their physicochemical properties (flesh firmness, total soluble solids, titratable acidity and flesh colour) were analysed. IQI and RPI were used to relate the spectral information obtained from nectarines with the physicochemical properties and the sensory perception of their maturity using Partial Least Square (PLS) regression with proper variable selection. Optimal results were obtained with R-2 values higher than 0.87 for the two indices and the two cultivars. The ripeness of each fruit could be visualised by projecting the PLS models of the IQI on the pixels of the fruits in the images, showing great potential for further monitoring of the evolution of intact nectarine ripeness in industrial setups. 2018-05-09T16:31:00Z 2018-05-09T16:31:00Z 2017 article Munera, S., Amigo, J. M., Blasco, J., Cubero, S., Talens, P., Aleixos, N. (2017). Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging. Journal of Food Engineering, 214, 29-39. 0260-8774 http://hdl.handle.net/20.500.11939/6075 10.1016/j.jfoodeng.2017.06.031 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ electronico |
| spellingShingle | Munera, Sandra Amigo, José M. Blasco, José Cubero, Sergio Talens, Pau Aleixos, Nuria Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging |
| title | Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging |
| title_full | Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging |
| title_fullStr | Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging |
| title_full_unstemmed | Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging |
| title_short | Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging |
| title_sort | ripeness monitoring of two cultivars of nectarine using vis nir hyperspectral reflectance imaging |
| url | http://hdl.handle.net/20.500.11939/6075 |
| work_keys_str_mv | AT munerasandra ripenessmonitoringoftwocultivarsofnectarineusingvisnirhyperspectralreflectanceimaging AT amigojosem ripenessmonitoringoftwocultivarsofnectarineusingvisnirhyperspectralreflectanceimaging AT blascojose ripenessmonitoringoftwocultivarsofnectarineusingvisnirhyperspectralreflectanceimaging AT cuberosergio ripenessmonitoringoftwocultivarsofnectarineusingvisnirhyperspectralreflectanceimaging AT talenspau ripenessmonitoringoftwocultivarsofnectarineusingvisnirhyperspectralreflectanceimaging AT aleixosnuria ripenessmonitoringoftwocultivarsofnectarineusingvisnirhyperspectralreflectanceimaging |