| 紫外可见吸收光谱结合主成分-反向传播人工神经网络鉴别真假蜂蜜 |
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| 引用本文： | 欧文娟,孟耀勇,张小燕,孔猛. 紫外可见吸收光谱结合主成分-反向传播人工神经网络鉴别真假蜂蜜[J]. 分析化学, 2011, 39(7): 1104-1108. DOI: 10.3724/SP.J.1096.2011.01104 |
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| 作者姓名： | 欧文娟 孟耀勇 张小燕 孔猛 |
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| 作者单位： | 华南师范大学生物光子学研究院; |
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| 基金项目： | 国家自然科学基金(No.60411130595); 广东省中医药局项目(No.2008233)资助 |
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| 摘 要： | 研究紫外-可见吸收光谱技术结合化学计量学方法鉴别真假蜂蜜.根据蜂蜜中果糖和葡萄糖的典型质量比1.2:1.0,配制与真蜂蜜相近的掺假溶液,并以5%～20%的比例掺入真蜂蜜中.获取纯正蜂蜜和掺假蜂蜜的紫外-可见吸收光谱,选择最佳敏感波段250～400 mn的吸光度值进行主成分分析(PCA),优选主成分作为反向传播人工神经网...
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| 关 键 词： | 蜂蜜 掺假 紫外-可见吸收光谱 反向传播人工神经网络 主成分-反向传播人工神经网络 |
Application of UV-Visible Absorption Spectroscopy and Principal Components-Back Propagation Artificial Neural Network to Identification of Authentic and Adulterated Honeys |
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| OU Wen-Juan,MENG Yao-Yong,ZHANG Xiao-Yan,KONG Meng. Application of UV-Visible Absorption Spectroscopy and Principal Components-Back Propagation Artificial Neural Network to Identification of Authentic and Adulterated Honeys[J]. Chinese Journal of Analytical Chemistry, 2011, 39(7): 1104-1108. DOI: 10.3724/SP.J.1096.2011.01104 |
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| Authors: | OU Wen-Juan MENG Yao-Yong ZHANG Xiao-Yan KONG Meng |
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| Affiliation: | OU Wen-Juan1,MENG Yao-Yong1,ZHANG Xiao-Yan1,KONG Meng11(College of Biophotonics,South China Normal University,Guangzhou 510631) |
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| Abstract: | |
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| Keywords: | Honey Adulteration Ultraviolet-Visible absorption spectroscopy Back propagation artificial neural network Principal components-back propagation artificial neural network |
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