Rapid detection of protein content in rice based on Raman and near-infrared spectroscopy fusion strategy combined with characteristic wavelength selection
文献类型：期刊论文
| 作者 | Wang, Zhiqiang2; Liu, Jinming1; Zeng, Changhao1; Bao, Changhao1; Li, Zhijiang3,4; Zhang, Dongjie3,4; Zhen, Feng5 |
| 刊名 | INFRARED PHYSICS & TECHNOLOGY
 |
| 出版日期 | 2023-03-01 |
| 卷号 | 129页码:8 |
| 关键词 | Protein content Raman spectroscopy Near -infrared spectroscopy Data fusion Partial least squares Improved binary particle swarm optimization algorithm |
| ISSN号 | 1350-4495 |
| DOI | 10.1016/j.infrared.2023.104563 |
| 通讯作者 | Liu, Jinming(jinmingliu2008@126.com) |
| 英文摘要 | Protein content is an essential index for evaluating rice quality. This work discussed the feasibility of rapid detection of protein content in rice using spectral data fusion technology. An improved binary particle swarm optimization algorithm (IBPSO) was proposed to select the characteristic wavelength of Raman and near-infrared spectroscopy fusion data, which improved the detection accuracy of the partial least squares correction model. The determination coefficient of prediction, root mean square error of prediction, and mean relative error of prediction of the protein content detection model established by IBPSO were 0.903, 0.235%, and 2.768%, respectively, which were better than the modeling performance of the other four algorithms. The research shows that IBPSO can efficiently acquire high correlation modeling wavelength variables through the guiding optimization of binary bits with a value of '1'. The combination of IBPSO and spectral data fusion strategy can realize the rapid detection of protein content in rice, which provides theoretical support for developing related online detection equipment. |
| 资助项目 | National Key R&D Program of China[2018YFE0206300] ; Natural Science Foundation of Heilongjiang Province of China[LH2022E099] ; Key R & D Project of Heilongjiang Province of China[GY2021ZB0253/GA21D009] ; Technological Project of Heilongjiang Province[2022ZXJ05C01] ; Post-doctoral Funding of Heilongjiang Province of China[LBH-Z19087] ; Heilongjiang Bayi Agricultural University[ZRCPY202203] |
| WOS研究方向 | Instruments & Instrumentation ; Optics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000926144100001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key R&D Program of China ; Natural Science Foundation of Heilongjiang Province of China ; Key R & D Project of Heilongjiang Province of China ; Technological Project of Heilongjiang Province ; Post-doctoral Funding of Heilongjiang Province of China ; Heilongjiang Bayi Agricultural University |
| 源URL | [http://ir.giec.ac.cn/handle/344007/38554]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Liu, Jinming |
| 作者单位 | 1.Heilongjiang Bayi Agr Univ, Coll Informat & Elect Engn, Daqing 163319, Peoples R China 2.Heilongjiang Bayi Agr Univ, Coll Engn, Daqing 163319, Peoples R China 3.Natl Coarse Cereals Engn Technol Ctr, Daqing 163319, Peoples R China 4.Heilongjiang Bayi Agr Univ, Coll Food Sci, Daqing 163319, Peoples R China 5.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhiqiang,Liu, Jinming,Zeng, Changhao,et al. Rapid detection of protein content in rice based on Raman and near-infrared spectroscopy fusion strategy combined with characteristic wavelength selection[J]. INFRARED PHYSICS & TECHNOLOGY,2023,129:8. |
| APA | Wang, Zhiqiang.,Liu, Jinming.,Zeng, Changhao.,Bao, Changhao.,Li, Zhijiang.,...&Zhen, Feng.(2023).Rapid detection of protein content in rice based on Raman and near-infrared spectroscopy fusion strategy combined with characteristic wavelength selection.INFRARED PHYSICS & TECHNOLOGY,129,8. |
| MLA | Wang, Zhiqiang,et al."Rapid detection of protein content in rice based on Raman and near-infrared spectroscopy fusion strategy combined with characteristic wavelength selection".INFRARED PHYSICS & TECHNOLOGY 129(2023):8. |
入库方式： OAI收割
来源：广州能源研究所
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