• Laser & Optoelectronics Progress
  • Vol. 53, Issue 11, 113002 (2016)
[in Chinese]*, [in Chinese], [in Chinese], and [in Chinese]
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    DOI: 10.3788/lop53.113002 Cite this Article Set citation alerts
    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Quality Examination of Methanol Diesel Oil by Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2016, 53(11): 113002 Copy Citation Text show less
    References

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    [2] Tian Gaoyou. Review of application of Raman techniques in petrochemical industry[J]. Modern Scientific Instruments, 2009(2): 130-134.

    [3] Dan Tunan, Dai Liankui. Methanol gasoline quantitative analysis based on NIR spectroscopy[J]. Computers and Applied Chemistry, 2011, 28(3): 329-332.

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    [6] RuanHua, Dai Liankui. Support vector machine classification and regression based hybrid modeling method and its application in Raman spectral analysis[J]. Chinese Journal of Scientific Instrument, 2010, 31(11): 2440-2446.

    [7] Hao Yong, Sun Xudong, Geng Xiang. Quantitative determination of fatty acids in camellia oil by using Raman spectroscopy[J]. Food Science, 2013, 34(20): 137-140.

    [8] Sun Tong, Wu Yiqing, Li Xiaozhen, et al. Discrimination of camellia oil adulteration by NIR spectra and subwindow permutation analysis[J]. Acta Optica Sinica, 2015,35(6): 0630005.

    [9] Liu Fei, Feng Lei, Chai Rongyao, et al. Discrimination of rice canopy leaf blast based on spectroscopic techniques and direct orthogonal signal correction[J]. Acta Optica Sinica, 2010, 30(2): 585-589.

    [10] Luo Xia, Hong Tiansheng, Luo Kuo, et al. Application of hyperspectral technology in non-destructive mesurement of soluble solid content in pitaya[J]. Laser & Optoelectronics Progress, 2015, 52(8): 083002.

    [11] Shi Yu. Research on heavy metal copper and lead in plants based on near-infrared and Raman spectroscopy[D]. Nanchang: East China Jiaotong University, 2014.

    [12] Hao Yong, Chen Bin. Research on quantitative analytical model for determination of phosmet by using surface enhanced Raman spectroscopy[J]. Spectroscopy and Spectral Analysis, 2015, 35 (9): 2563-2566.

    [13] Cheng Shuxi. Fast detection methods for crop disease infection period using spectral and imaging technology.[D]. Hangzhou: Zhejiang University, 2014.

    [14] Liu Guohai. Jiang Hui, Mei Congli. Rapid detection of moisture content in solid-state fermentation by near-infrared spectroscopy combined with dbiPLS-SPA[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(s1): 220-222.

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    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Quality Examination of Methanol Diesel Oil by Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2016, 53(11): 113002
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