Data fusion of near-infrared diffuse reflectance spectra and transmittance spectra for the accurate determination of rice flour constituents
文献类型：期刊论文
| 作者 | Xu, Zhuopin4; Cheng, Weimin3,4; Fan, Shuang3,4; Liu, Jie3,4; Wang, Haiping1,2,4; Li, Xiaohong3,4; Liu, Binmei4 ; Wu, Yuejin4; Zhang, Pengfei4; Wang, Qi4
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| 刊名 | ANALYTICA CHIMICA ACTA
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| 出版日期 | 2022-02-08 |
| 卷号 | 1193 |
| ISSN号 | 0003-2670 |
| 关键词 | Near-infrared spectroscopy Diffuse reflectance Diffuse transmittance Data fusion Amylose content Fat content |
| DOI | 10.1016/j.aca.2021.339384 |
| 通讯作者 | Zhang, Pengfei(pfzhang@aiofm.ac.cn) ; Wang, Qi(wangqi@ipp.ac.cn) |
| 英文摘要 | The data fusion method effectively fuses multiple complementary inputs for highly accurate analysis. The spectral signals collected by near-infrared diffuse reflectance (NIRr) and diffuse transmission (NIRt) contain various information on the physical structure and chemical composition of the sample. Thus, the data fusion method (for NIRr and NIRt) can be used to further improve the accuracy of the NIR quantitative analysis method. The NIR spectroscopic analysis of protein content (PC), amylose content (AC), and fat content (FC) of rice can be used to select high-quality rice varieties. The data obtained using the NIR spectroscopic analysis method for rice flour were used to optimize NIRr and NIRt data fusion and verify the feasibility of this method to achieve more accurate quantitative analysis. Two types of rice flour spectra, NIRr spectra and NIRt spectra, were processed by different pretreatment methods to obtain high-quality fused spectra. The combinations of different pretreatment methods and spectral ranges were subsequently used for the optimization and calibration of partial least square models. The results reveal that the models of the fused spectra processed by the first derivative [NIRr-NIRt (1 der)] exhibit optimal prediction accuracy. The root mean square errors of prediction (RMSEPs) of the optimal NIRr-NIRt (1 der) PC, AC, and FC models were 0.280, 1.240, and 0.165, respectively, which were lower than those of the NIRr and NIRt models. The results show that the fusion of NIRr and NIRt data can achieve accurate detection of rice flour constituents, indicating the method has potential for further development and application. (c) 2021 Elsevier B.V. All rights reserved. |
| WOS关键词 | NIR-SPECTROSCOPY ; AMYLOSE CONTENT ; BROWN RICE ; CLASSIFICATION ; OPTIMIZATION ; QUALITY ; PROTEIN ; MODELS ; GRAIN ; FOOD |
| 资助项目 | National Natural Science Foundation of China[32070399] ; Anhui Provincial Key Research and Development Program[201904c03020007] ; Anhui Science and Technology Major Project[202103a06020014] ; Anhui Science and Technology Major Project[202003c08020006] ; Hefei Science and Technology Project[J2020G45] |
| WOS研究方向 | Chemistry |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000740370900004 |
| 资助机构 | National Natural Science Foundation of China ; Anhui Provincial Key Research and Development Program ; Anhui Science and Technology Major Project ; Hefei Science and Technology Project |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/127257]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Zhang, Pengfei; Wang, Qi |
| 作者单位 | 1.Anhui Univ, Inst Informat Technol, Hefei, Peoples R China 2.Anhui Univ, Inst Phys Sci, Hefei, Peoples R China 3.Univ Sci & Technol China, 96 Jinzhai Rd, Hefei 230026, Anhui, Peoples R China 4.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Key Lab Environm Toxicol & Pollut Control T, Hefei 230031, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Zhuopin,Cheng, Weimin,Fan, Shuang,et al. Data fusion of near-infrared diffuse reflectance spectra and transmittance spectra for the accurate determination of rice flour constituents[J]. ANALYTICA CHIMICA ACTA,2022,1193. |
| APA | Xu, Zhuopin.,Cheng, Weimin.,Fan, Shuang.,Liu, Jie.,Wang, Haiping.,...&Wang, Qi.(2022).Data fusion of near-infrared diffuse reflectance spectra and transmittance spectra for the accurate determination of rice flour constituents.ANALYTICA CHIMICA ACTA,1193. |
| MLA | Xu, Zhuopin,et al."Data fusion of near-infrared diffuse reflectance spectra and transmittance spectra for the accurate determination of rice flour constituents".ANALYTICA CHIMICA ACTA 1193(2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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