Acta Optica Sinica, Volume. 39, Issue 9, 0930004(2019)

Analysis Model of Oleic and Linoleic Acids in Camellia Oil via Near-Infrared Spectroscopy

Yong Hao*, Wenhui Wu, Qingyuan Shang, and Pei Geng
Author Affiliations
  • School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang, Jiangxi 330013, China
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    Figures & Tables(8)
    Original near-infrared spectra of samples
    Spectrum after processing with NWD1st-MSC
    Sample point distributions of PLSR modelling variables for two kinds of fatty acids. (a) Oleic acid PLSR model; (b) linoleic acid PLSR model
    Correlation relationships of measured and predicted values of models for two kinds of fatty acids. (a) Oleic acid samples; (b) linoleic acid samples
    • Table 1. Sample configuration information

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      Table 1. Sample configuration information

      Sample compositionNumberVolume fraction /%
      Camellia oil mixed with rapeseed oil (pressed)1-193, 5, 7, 10, 13, 15, 18, 20, 25, 28, 30, 32, 35, 38, 40, 43, 45, 48, 50
      Camellia oil mixed with rapeseed oil (leaching)20-383, 5, 7, 10, 13, 15, 18, 20, 25, 28, 30, 32, 35, 38, 40, 43, 45, 48, 50
      Camellia oil mixed with palm oil (leaching)39-573, 5, 7, 10, 13, 15, 18, 20, 25, 28, 30, 32, 35, 38, 40, 43, 45, 48, 50
      Camellia oil mixed with palm oil (pressed)58-763, 5, 7, 10, 13, 15, 18, 20, 25, 28, 30, 32, 35, 38, 40, 43, 45, 48, 50
    • Table 2. Detection conditions of gas chromatograph

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      Table 2. Detection conditions of gas chromatograph

      ContentParameter
      Instrument modelAgilent-6890
      DetectorFID
      SamplerSplit
      Flow rate of H2 /(mL·min-1)1
      Initial temperature /℃140
      Import sample temperature /℃260
      Termination temperature /℃240
      Heating rate /(℃·min-1)4
      Carrier gasN2
      Split ratio40∶1
      Sample size /μL1
      Measure time /min40
    • Table 3. Comparison of PLSR modeling results with different spectral preprocessing methods

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      Table 3. Comparison of PLSR modeling results with different spectral preprocessing methods

      MethodOleic acidLinoleic acid
      RcRMSECVRcRMSECV
      None0.7265.1970.3540.657
      NWD1st0.7335.1050.6690.622
      NWD2nd0.7015.4440.5460.740
      MSC0.9851.0860.9500.171
      SNV0.9851.0960.9490.173
      NWD1st-MSC0.9861.0210.9680.138
    • Table 4. Comparison of PLSR modeling results with two kinds of variable selection methods

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      Table 4. Comparison of PLSR modeling results with two kinds of variable selection methods

      Analysis objectVariable selection methodNumber of variablesRcRMSECV
      Oleic acidNone15010.9861.021
      VCPA70.9841.107
      MCUVE1800.9940.688
      Linoleic acidNone15010.9680.138
      VCPA80.9870.089
      MCUVE5000.9890.080
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    Yong Hao, Wenhui Wu, Qingyuan Shang, Pei Geng. Analysis Model of Oleic and Linoleic Acids in Camellia Oil via Near-Infrared Spectroscopy[J]. Acta Optica Sinica, 2019, 39(9): 0930004

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    Paper Information

    Category: Spectroscopy

    Received: Mar. 6, 2019

    Accepted: May. 14, 2019

    Published Online: Sep. 9, 2019

    The Author Email: Hao Yong (haonm@163.com)

    DOI:10.3788/AOS201939.0930004

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