Astringency assessment of persimmon by hyperspectral imaging
One of the current challenges of persimmon postharvest research is the development of non-destructive methods that allow determination of the internal properties of the fruit, such as maturity, flesh firmness and astringency. This study evaluates the usefulness of hyperspectral imaging in the 460–10...
| Main Authors: | , , , , , , |
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| Format: | acceptedVersion |
| Language: | Inglés |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/20.500.11939/5732 http://www.sciencedirect.com/science/article/pii/S0925521416305555 |
| _version_ | 1855032325403836416 |
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| author | Munera, Sandra Besada, Cristina Blasco, José Cubero, Sergio Salvador, Alejandra Talens, Pau Aleixos, Nuria |
| author_browse | Aleixos, Nuria Besada, Cristina Blasco, José Cubero, Sergio Munera, Sandra Salvador, Alejandra Talens, Pau |
| author_facet | Munera, Sandra Besada, Cristina Blasco, José Cubero, Sergio Salvador, Alejandra Talens, Pau Aleixos, Nuria |
| author_sort | Munera, Sandra |
| collection | ReDivia |
| description | One of the current challenges of persimmon postharvest research is the development of non-destructive methods that allow determination of the internal properties of the fruit, such as maturity, flesh firmness and astringency. This study evaluates the usefulness of hyperspectral imaging in the 460–1020 nm range as a non-destructive tool to achieve these aims in Persimmon cv. ‘Rojo Brillante’ which is an astringent cultivar. Fruit were harvested at three different stages of commercial maturity and exposed to different treatments of CO2 (95% CO2 – 20 ºC – from 0 to 24 h) in order to obtain fruit with different levels of astringency. Partial Least Square (PLS) based methods were used to classify persimmon fruits by maturity and to predict flesh firmness from the average spectrum of each fruit. The results showed a 97.9% rate of correct maturity classification and an R2P of 0.80 for firmness prediction with only five selected wavelengths. For astringency assessment, as our results showed that the soluble tannins that remain after CO2 treatments are distributed irregularly inside the flesh, a model based on PLS was built using the spectrum of every pixel in the fruit. The model obtained an R2P of 0.91 which allowed the creation of the predicted distribution maps of the tannins in the flesh of the fruit, thereby pointing to hyperspectral systems as a promising technology to assess the effectiveness of the deastringency treatments that are usually applied before commercialising persimmons from astringent cultivars. |
| format | acceptedVersion |
| id | ReDivia5732 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | ReDivia57322025-04-25T14:44:41Z Astringency assessment of persimmon by hyperspectral imaging Munera, Sandra Besada, Cristina Blasco, José Cubero, Sergio Salvador, Alejandra Talens, Pau Aleixos, Nuria Diospyros kaki, fruit internal quality, soluble tannins, distribution map, hyperspectral imaging, computer vision J11 Handling, transport, storage and protection of plant products Diospyros kaki Food quality One of the current challenges of persimmon postharvest research is the development of non-destructive methods that allow determination of the internal properties of the fruit, such as maturity, flesh firmness and astringency. This study evaluates the usefulness of hyperspectral imaging in the 460–1020 nm range as a non-destructive tool to achieve these aims in Persimmon cv. ‘Rojo Brillante’ which is an astringent cultivar. Fruit were harvested at three different stages of commercial maturity and exposed to different treatments of CO2 (95% CO2 – 20 ºC – from 0 to 24 h) in order to obtain fruit with different levels of astringency. Partial Least Square (PLS) based methods were used to classify persimmon fruits by maturity and to predict flesh firmness from the average spectrum of each fruit. The results showed a 97.9% rate of correct maturity classification and an R2P of 0.80 for firmness prediction with only five selected wavelengths. For astringency assessment, as our results showed that the soluble tannins that remain after CO2 treatments are distributed irregularly inside the flesh, a model based on PLS was built using the spectrum of every pixel in the fruit. The model obtained an R2P of 0.91 which allowed the creation of the predicted distribution maps of the tannins in the flesh of the fruit, thereby pointing to hyperspectral systems as a promising technology to assess the effectiveness of the deastringency treatments that are usually applied before commercialising persimmons from astringent cultivars. 2017-09-06T16:42:01Z 2017-09-06T16:42:01Z 2017 acceptedVersion Munera, S., Besada, C., Blasco, J., Cubero, S., Salvador, A., Talens, P. et al. (2017). Astringency assessment of persimmon by hyperspectral imaging. Postharvest Biology and Technology, 125, 35-41. http://hdl.handle.net/20.500.11939/5732 10.1016/j.postharvbio.2016.11.006 http://www.sciencedirect.com/science/article/pii/S0925521416305555 en Info:eu-repo/grantAgreement/MINECO/Programa Nacional de Investigación Fundamental/RTA2012-00062-C04-01 Info:eu-repo/grantAgreement/MINECO/Programa Nacional de Investigación Fundamental/RTA2012-00062-C04-03 Info:eu-repo/grantAgreement/MINECO/Programa Nacional de Investigación Fundamental/RTA2013-00043-C02 Info:eu-repo/grantAgreement/GVA//AICO%2F2015%2F122 This work has been partially funded by the Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria de España (INIA) through projects RTA2012-00062-C04-01, RTA2012-00062-C04-03 and RTA2013-00043-C02 with the support of FEDER funds and by the Conselleria d' Educació, Investigació, Cultura i Esport, Generalitat Valenciana, through the project AICO/2015/122. RTA2012-00062-C04-01 Elsevier |
| spellingShingle | Diospyros kaki, fruit internal quality, soluble tannins, distribution map, hyperspectral imaging, computer vision J11 Handling, transport, storage and protection of plant products Diospyros kaki Food quality Munera, Sandra Besada, Cristina Blasco, José Cubero, Sergio Salvador, Alejandra Talens, Pau Aleixos, Nuria Astringency assessment of persimmon by hyperspectral imaging |
| title | Astringency assessment of persimmon by hyperspectral imaging |
| title_full | Astringency assessment of persimmon by hyperspectral imaging |
| title_fullStr | Astringency assessment of persimmon by hyperspectral imaging |
| title_full_unstemmed | Astringency assessment of persimmon by hyperspectral imaging |
| title_short | Astringency assessment of persimmon by hyperspectral imaging |
| title_sort | astringency assessment of persimmon by hyperspectral imaging |
| topic | Diospyros kaki, fruit internal quality, soluble tannins, distribution map, hyperspectral imaging, computer vision J11 Handling, transport, storage and protection of plant products Diospyros kaki Food quality |
| url | http://hdl.handle.net/20.500.11939/5732 http://www.sciencedirect.com/science/article/pii/S0925521416305555 |
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