| 拉曼光谱和近红外光谱在小麦粉品质定量分析中的应用 |
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| 引用本文： | 宋 瑜,孙晓荣,刘翠玲,董秀丽,吴胜男. 拉曼光谱和近红外光谱在小麦粉品质定量分析中的应用[J]. 北京工商大学学报(自然科学版), 2014, 32(2): 24-27 |
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| 作者姓名： | 宋 瑜 孙晓荣 刘翠玲 董秀丽 吴胜男 |
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| 作者单位： | 北京工商大学计算机与信息工程学院,北京100048 |
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| 基金项目： | 北京市科技创新平台项目（pxm_2012_014213_000023）;北京市教委科技发展重点项目（KZ201310011012）;北京市优秀人才基金项目（2012D005003000007） |
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| 摘 要： | 应用拉曼光谱分析技术结合最小二乘法,应用近红外光谱技术结合偏最小二乘法,以及现有的小麦粉光谱数据,对小麦粉进行采集光谱信息,选择最优的光谱预处理方法,分别建立了水分、灰分、面筋的定量模型,并验证了模型的可行性.实验分析表明,近红外光谱技术建立的模型比拉曼光谱分析技术建立的模型效果要好.
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| 关 键 词： | 拉曼光谱 近红外光谱 定量模型 |
| 收稿时间： | 2013-06-23 |
Quantitative Analysis of Wheat Flour Quality using Raman Spectroscopy and Near Infrared Spectroscopy |
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| SONG Yu,SUN Xiao-rong,LIU Cui-ling,DONG Xiu-li,WU Sheng-nan. Quantitative Analysis of Wheat Flour Quality using Raman Spectroscopy and Near Infrared Spectroscopy[J]. Journal of Beijing Technology and Business University:Natural Science Edition, 2014, 32(2): 24-27 |
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| Authors: | SONG Yu SUN Xiao-rong LIU Cui-ling DONG Xiu-li WU Sheng-nan |
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| Affiliation: | (School of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China) |
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| Abstract: | Based on the existing spectral data, the spectral information of wheat flour was selected using the Rarnan spectroscopy and near infrared spectroscopy combined with the least square method. The best spectral preprocessing method was selected and the quantitative analysis models of moisture, ash, and glu- ten were established. Moreover, the feasibility of models was verified. The results showed that the model established by the near infrared spectroscopy was better than that of the Raman spectroscopy. |
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| Keywords: | Raman spectroscopy near infrared spectroscopy quantitative analysis model |
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