Authentication of rapeseed variety based on hyperspectral imaging and chemometrics
The seed authentication is crucial for quality and yield. The traditional detection methods are often destructive, time-consuming and laborious. In this study, authentication of rapeseed variety was proposed by hyperspectral image (HSI) and a partial least squares discriminant analysis (PLS-DA). Hyp...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Applied Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772502225002495 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849421976965218304 |
|---|---|
| author | Junjun Gong Xinjing Dou Du Wang Mengxue Fang Li Yu Fei Ma Xuefang Wang Baocheng Xu Peiwu Li Liangxiao Zhang |
| author_facet | Junjun Gong Xinjing Dou Du Wang Mengxue Fang Li Yu Fei Ma Xuefang Wang Baocheng Xu Peiwu Li Liangxiao Zhang |
| author_sort | Junjun Gong |
| collection | DOAJ |
| description | The seed authentication is crucial for quality and yield. The traditional detection methods are often destructive, time-consuming and laborious. In this study, authentication of rapeseed variety was proposed by hyperspectral image (HSI) and a partial least squares discriminant analysis (PLS-DA). Hyperspectral imaging of single rapeseed was acquired. Random frog was used to select the important variables, and PLS-DA was used to build a classification model. The validation results based on an independent test set indicated that this model could differeniate the target rapeseed variety from other one. Moreover, to extend the use of this model in practice, the rapeseed samples adulterated with 4 % and 6 % rapeseeds of other varities were prepared to validate this model. The results indicated that this model could also identify the adulteration with other vatities. Subsequently, seed purity was correctly determined by percentage of authentic rapeseeds. In summary, hyperspectral imaging combined with PLS-DA effectively determine the purity of rapeseed. This study provides a reference for rapid seed authentication of other seeds to improve breeding efficiency and optimize germplasm resources. |
| format | Article |
| id | doaj-art-8414b23d13b54da7b16551b8da85d350 |
| institution | Kabale University |
| issn | 2772-5022 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Applied Food Research |
| spelling | doaj-art-8414b23d13b54da7b16551b8da85d3502025-08-20T03:31:20ZengElsevierApplied Food Research2772-50222025-06-015110094110.1016/j.afres.2025.100941Authentication of rapeseed variety based on hyperspectral imaging and chemometricsJunjun Gong0Xinjing Dou1Du Wang2Mengxue Fang3Li Yu4Fei Ma5Xuefang Wang6Baocheng Xu7Peiwu Li8Liangxiao Zhang9College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471000, PR China; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR ChinaCollege of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471000, PR China; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR ChinaCollege of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471000, PR China; Corresponding authors.Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China; Hubei Hongshan Laboratory, Wuhan 430070, PR China; Xianghu Laboratory, Hangzhou 311231, PR ChinaKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Laboratory of Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Quality Inspection and Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, PR China; Hubei Hongshan Laboratory, Wuhan 430070, PR China; Corresponding authors.The seed authentication is crucial for quality and yield. The traditional detection methods are often destructive, time-consuming and laborious. In this study, authentication of rapeseed variety was proposed by hyperspectral image (HSI) and a partial least squares discriminant analysis (PLS-DA). Hyperspectral imaging of single rapeseed was acquired. Random frog was used to select the important variables, and PLS-DA was used to build a classification model. The validation results based on an independent test set indicated that this model could differeniate the target rapeseed variety from other one. Moreover, to extend the use of this model in practice, the rapeseed samples adulterated with 4 % and 6 % rapeseeds of other varities were prepared to validate this model. The results indicated that this model could also identify the adulteration with other vatities. Subsequently, seed purity was correctly determined by percentage of authentic rapeseeds. In summary, hyperspectral imaging combined with PLS-DA effectively determine the purity of rapeseed. This study provides a reference for rapid seed authentication of other seeds to improve breeding efficiency and optimize germplasm resources.http://www.sciencedirect.com/science/article/pii/S2772502225002495Seed puritySingle seedPLS-DANondestructiveHyperspectral imageChemometrics |
| spellingShingle | Junjun Gong Xinjing Dou Du Wang Mengxue Fang Li Yu Fei Ma Xuefang Wang Baocheng Xu Peiwu Li Liangxiao Zhang Authentication of rapeseed variety based on hyperspectral imaging and chemometrics Applied Food Research Seed purity Single seed PLS-DA Nondestructive Hyperspectral image Chemometrics |
| title | Authentication of rapeseed variety based on hyperspectral imaging and chemometrics |
| title_full | Authentication of rapeseed variety based on hyperspectral imaging and chemometrics |
| title_fullStr | Authentication of rapeseed variety based on hyperspectral imaging and chemometrics |
| title_full_unstemmed | Authentication of rapeseed variety based on hyperspectral imaging and chemometrics |
| title_short | Authentication of rapeseed variety based on hyperspectral imaging and chemometrics |
| title_sort | authentication of rapeseed variety based on hyperspectral imaging and chemometrics |
| topic | Seed purity Single seed PLS-DA Nondestructive Hyperspectral image Chemometrics |
| url | http://www.sciencedirect.com/science/article/pii/S2772502225002495 |
| work_keys_str_mv | AT junjungong authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT xinjingdou authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT duwang authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT mengxuefang authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT liyu authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT feima authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT xuefangwang authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT baochengxu authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT peiwuli authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics AT liangxiaozhang authenticationofrapeseedvarietybasedonhyperspectralimagingandchemometrics |