Establishment of Non-Destructive Methods for the Detection of Amylose and Fat Content in Single Rice Kernels Using Near-Infrared Spectroscopy | |
Fan, Shuang2,3; Xu, Zhuopin3; Cheng, Weimin2,3; Wang, Qi1,3; Yang, Yang3; Guo, Junyao3; Zhang, Pengfei3; Wu, Yuejin1,3 | |
刊名 | AGRICULTURE-BASEL |
2022-08-01 | |
卷号 | 12 |
关键词 | single rice kernel near-infrared spectroscopy amylose and fat content seed sorting |
DOI | 10.3390/agriculture12081258 |
通讯作者 | Wu, Yuejin(yjwu@ipp.ac.cn) |
英文摘要 | For the efficient selection of high-quality rice varieties, the near-infrared spectroscopy (NIRS) technique has been widely applied to detect constituents in single rice kernels. Compared with other constituents, amylose content (AC) and fat content (FC) are the key parameters that can affect the quality of rice. Based on two modified AC and FC trace detection methods, two NIRS methods to detect AC and FC in single rice kernels were developed. Using the proposed methods, the AC and FC in two groups of rice kernel datasets were measured. The datasets were collected on two spectrometers with different sample movement states (static and dynamic) and measurement modes (diffuse reflectance (NIRr) and diffuse transmission (NIRt)). By optimizing the pre-treatment method and spectral range, the determination coefficients of cross-validation (R-cv(2)) and prediction (R-p(2)) of the NIRS models under different measurement conditions were all above 0.6. The results indicated that the proposed methods were applicable to the rapid, non-destructive detection and sorting of individual rice seeds with different AC and FC, and it was shown that these methods can meet the requirements of the rough screening of rice seed varieties. |
资助项目 | National Natural Science Foundation of China[32070399] ; National Natural Science Foundation of China[32171962] ; Anhui Science and Technology Major Project[202103a06020014] ; HFIPS Director's Fund[YZJJKX202201] ; Hefei Science and Technology Project[2021GJ065] ; 2021 Research Program of Sanya Yazhou Bay Science and Technology City[SKJC2021-02-002] |
WOS关键词 | NIR-SPECTROSCOPY ; GRAIN |
WOS研究方向 | Agriculture |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000846975000001 |
资助机构 | National Natural Science Foundation of China ; Anhui Science and Technology Major Project ; HFIPS Director's Fund ; Hefei Science and Technology Project ; 2021 Research Program of Sanya Yazhou Bay Science and Technology City |
内容类型 | 期刊论文 |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/131930] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Wu, Yuejin |
作者单位 | 1.CAS Innovat Acad Seed Design, Hainan Branch, Sanya 572019, Peoples R China 2.Grad Sch USTC, Sci Isl Branch, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Key Lab Environm Toxicol & Pollut Control T, Hefei 230031, Peoples R China |
推荐引用方式 GB/T 7714 | Fan, Shuang,Xu, Zhuopin,Cheng, Weimin,et al. Establishment of Non-Destructive Methods for the Detection of Amylose and Fat Content in Single Rice Kernels Using Near-Infrared Spectroscopy[J]. AGRICULTURE-BASEL,2022,12. |
APA | Fan, Shuang.,Xu, Zhuopin.,Cheng, Weimin.,Wang, Qi.,Yang, Yang.,...&Wu, Yuejin.(2022).Establishment of Non-Destructive Methods for the Detection of Amylose and Fat Content in Single Rice Kernels Using Near-Infrared Spectroscopy.AGRICULTURE-BASEL,12. |
MLA | Fan, Shuang,et al."Establishment of Non-Destructive Methods for the Detection of Amylose and Fat Content in Single Rice Kernels Using Near-Infrared Spectroscopy".AGRICULTURE-BASEL 12(2022). |
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