Acta Optica Sinica, Volume. 37, Issue 10, 1030003(2017)

Purification and Noise Elimination of Near Infrared Spectrum in Rapid Detection of Milk Components Concentration by Using Principal Component Weight Resetting

Wang Lijie1,2、* and Yang Yuyi1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(11)

    [2] [2] Botros L L, Jablonski J, Chang C, et al. Exploring authentic skim and nonfat dry milk power variance for the development of nontargeted adulterant detection methods using near-infrared spectroscopy and chemometrics[J]. Journal of Agricultural and Food Chemistry, 2013, 61(41): 9810-9818.

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    [8] [8] Zhang Long, Pan Jiarong, Zhu Cheng, et al. Discrimination of different types of fermented tea by near infrared spectroscopy[J]. Food Science, 2012, 33(20): 149-152.

    [10] [10] Li Qingbo. The research of several key technologies in infrared spectroscopy[D]. Tianjin: Tianjin University, 2003.

    [11] [11] Wang Lijie. Research on rapid measuring method and system for milk constituents detecting by NIR spectrum[D]. Harbin: Harbin University of Science and Technology, 2006.

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    [1] Junya Ding, Tianbo He, Hongliang Wang, Zhongjun Ding, Benli Yu, Jinsong Li. Detection Method of Volatile Organic Compounds Based on External Cavity Quantum Cascade Laser Spectroscopy[J]. Acta Optica Sinica, 2018, 38(4): 0430002

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    Wang Lijie, Yang Yuyi. Purification and Noise Elimination of Near Infrared Spectrum in Rapid Detection of Milk Components Concentration by Using Principal Component Weight Resetting[J]. Acta Optica Sinica, 2017, 37(10): 1030003

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    Paper Information

    Category: Spectroscopy

    Received: Apr. 14, 2017

    Accepted: --

    Published Online: Oct. 9, 2017

    The Author Email: Wang Lijie (wlj@hrbust.edu.cn)

    DOI:10.3788/aos201737.1030003

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