The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy
A kinetic model based on visible/near-infrared spectroscopy of the peel brittleness of “Xintian-125” Cucumis melons, the research object, stored under room temperature, was established in order to realize real-time monitoring of the peel brittleness of Cucumis melons and for prediction of storage ti...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2020/1402965 |
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| author | Defang Xu Huamin Zhao Shujuan Zhang Chengji Li Fei Zhao |
| author_facet | Defang Xu Huamin Zhao Shujuan Zhang Chengji Li Fei Zhao |
| author_sort | Defang Xu |
| collection | DOAJ |
| description | A kinetic model based on visible/near-infrared spectroscopy of the peel brittleness of “Xintian-125” Cucumis melons, the research object, stored under room temperature, was established in order to realize real-time monitoring of the peel brittleness of Cucumis melons and for prediction of storage time. The NIR and peel brittleness of melons stored for 1, 4, and 7 days were collected and measured. SG was confirmed to be the best pretreatment by comparing the PLS models established with 4 pretreatment methods, and the differences of the prediction set determination coefficient and root-mean-square were 0.818 and 23.755, respectively. CARS and SPA were adopted to extract the feature wavelengths and establish the peel brittleness of PLS prediction model. The model’s prediction accuracy was 0.919, and the prediction root-mean-square was 25.413, indicating that NIR is able to realize the prediction of the peel brittleness of Cucumis melons. As a result, a NIR-based peel brittleness kinetic model was created. The P value of the regression model was less than 0.001, and the model’s correlation coefficient was 0.8503, showing that the model is of extreme significance and high precision. The zero-order reaction equation was overfitted according to the variation tendency of the average peel brittleness of stored melons. The model’s correlation coefficient was 0.981, the standard error was 4.624, and the linear relation between the stored period and NIR was established based on it. The research proves that the NIR-based technology is able to realize quick and loss-free inspection of melons’ peel brittleness and prediction of the stored period. |
| format | Article |
| id | doaj-art-bf2f16191d974f1ba830fcde46a7facf |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-bf2f16191d974f1ba830fcde46a7facf2025-02-03T06:05:15ZengWileyJournal of Spectroscopy2314-49202314-49392020-01-01202010.1155/2020/14029651402965The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared SpectroscopyDefang Xu0Huamin Zhao1Shujuan Zhang2Chengji Li3Fei Zhao4College of Engineering, Shanxi Agricultural University, Taigu County, Jinzhong 030801, Shanxi, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu County, Jinzhong 030801, Shanxi, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu County, Jinzhong 030801, Shanxi, ChinaCollege of Engineering, Shanxi Agricultural University, Taigu County, Jinzhong 030801, Shanxi, ChinaShanxi Agricultural Machinery Development Center, Shanxi, Taiyuan 030002, ChinaA kinetic model based on visible/near-infrared spectroscopy of the peel brittleness of “Xintian-125” Cucumis melons, the research object, stored under room temperature, was established in order to realize real-time monitoring of the peel brittleness of Cucumis melons and for prediction of storage time. The NIR and peel brittleness of melons stored for 1, 4, and 7 days were collected and measured. SG was confirmed to be the best pretreatment by comparing the PLS models established with 4 pretreatment methods, and the differences of the prediction set determination coefficient and root-mean-square were 0.818 and 23.755, respectively. CARS and SPA were adopted to extract the feature wavelengths and establish the peel brittleness of PLS prediction model. The model’s prediction accuracy was 0.919, and the prediction root-mean-square was 25.413, indicating that NIR is able to realize the prediction of the peel brittleness of Cucumis melons. As a result, a NIR-based peel brittleness kinetic model was created. The P value of the regression model was less than 0.001, and the model’s correlation coefficient was 0.8503, showing that the model is of extreme significance and high precision. The zero-order reaction equation was overfitted according to the variation tendency of the average peel brittleness of stored melons. The model’s correlation coefficient was 0.981, the standard error was 4.624, and the linear relation between the stored period and NIR was established based on it. The research proves that the NIR-based technology is able to realize quick and loss-free inspection of melons’ peel brittleness and prediction of the stored period.http://dx.doi.org/10.1155/2020/1402965 |
| spellingShingle | Defang Xu Huamin Zhao Shujuan Zhang Chengji Li Fei Zhao The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy Journal of Spectroscopy |
| title | The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy |
| title_full | The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy |
| title_fullStr | The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy |
| title_full_unstemmed | The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy |
| title_short | The Kinetic Model of the Peel Brittleness of Stored Cucumis Melons Based on Visible/Near-Infrared Spectroscopy |
| title_sort | kinetic model of the peel brittleness of stored cucumis melons based on visible near infrared spectroscopy |
| url | http://dx.doi.org/10.1155/2020/1402965 |
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