Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables
The long-term storage of rice will inevitably be involved in the deterioration of edible quality, and aged rice poses a great threat to food safety and human health. The acid value can be employed as a sensitive index for the determination of rice quality and freshness. In this study, near-infrared...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Food Chemistry: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590157522003376 |
| _version_ | 1797868304901079040 |
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| author | Zhanming Li Jiahui Song Yinxing Ma Yue Yu Xueming He Yuanxin Guo Jinxin Dou Hao Dong |
| author_facet | Zhanming Li Jiahui Song Yinxing Ma Yue Yu Xueming He Yuanxin Guo Jinxin Dou Hao Dong |
| author_sort | Zhanming Li |
| collection | DOAJ |
| description | The long-term storage of rice will inevitably be involved in the deterioration of edible quality, and aged rice poses a great threat to food safety and human health. The acid value can be employed as a sensitive index for the determination of rice quality and freshness. In this study, near-infrared spectra of three kinds of rice (Chinese Daohuaxiang, southern japonica rice, and late japonica rice) mixed with different proportions of aged rice were collected. The partial least squares regression (PLSR) model with different preprocessing was constructed to identify the aged rice adulteration. Meanwhile, a competitive adaptive reweighted sampling (CARS) algorithm was used to extract the optimization model of characteristic variables. The constructed CARS-PLSR model method could not only reduce greatly the number of characteristic variables required by the spectrum but also improve the identification accuracy of three kinds of aged-rice adulteration. As above, this study proposed a rapid, simple, and accurate detection method for aged-rice adulteration, providing new clues and alternatives for the quality control of commercial rice. |
| first_indexed | 2024-04-09T23:53:50Z |
| format | Article |
| id | doaj.art-b1880059e37d44f7aefd040f86841ddf |
| institution | Directory Open Access Journal |
| issn | 2590-1575 |
| language | English |
| last_indexed | 2024-04-09T23:53:50Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Food Chemistry: X |
| spelling | doaj.art-b1880059e37d44f7aefd040f86841ddf2023-03-17T04:34:05ZengElsevierFood Chemistry: X2590-15752023-03-0117100539Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variablesZhanming Li0Jiahui Song1Yinxing Ma2Yue Yu3Xueming He4Yuanxin Guo5Jinxin Dou6Hao Dong7School of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaSchool of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaSchool of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaSchool of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, China; Corresponding authors.College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, ChinaSchool of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaAcademy of National Food and Strategic Reserves Administration, Beijing 100037, ChinaCollege of Light Industry and Food Sciences, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China; Corresponding authors.The long-term storage of rice will inevitably be involved in the deterioration of edible quality, and aged rice poses a great threat to food safety and human health. The acid value can be employed as a sensitive index for the determination of rice quality and freshness. In this study, near-infrared spectra of three kinds of rice (Chinese Daohuaxiang, southern japonica rice, and late japonica rice) mixed with different proportions of aged rice were collected. The partial least squares regression (PLSR) model with different preprocessing was constructed to identify the aged rice adulteration. Meanwhile, a competitive adaptive reweighted sampling (CARS) algorithm was used to extract the optimization model of characteristic variables. The constructed CARS-PLSR model method could not only reduce greatly the number of characteristic variables required by the spectrum but also improve the identification accuracy of three kinds of aged-rice adulteration. As above, this study proposed a rapid, simple, and accurate detection method for aged-rice adulteration, providing new clues and alternatives for the quality control of commercial rice.http://www.sciencedirect.com/science/article/pii/S2590157522003376StorageLate japonica riceAcid valueChemometricsCompetitive adaptive reweighting sampling |
| spellingShingle | Zhanming Li Jiahui Song Yinxing Ma Yue Yu Xueming He Yuanxin Guo Jinxin Dou Hao Dong Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables Food Chemistry: X Storage Late japonica rice Acid value Chemometrics Competitive adaptive reweighting sampling |
| title | Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables |
| title_full | Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables |
| title_fullStr | Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables |
| title_full_unstemmed | Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables |
| title_short | Identification of aged-rice adulteration based on near-infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables |
| title_sort | identification of aged rice adulteration based on near infrared spectroscopy combined with partial least squares regression and characteristic wavelength variables |
| topic | Storage Late japonica rice Acid value Chemometrics Competitive adaptive reweighting sampling |
| url | http://www.sciencedirect.com/science/article/pii/S2590157522003376 |
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