Chinese Journal of Lasers, Volume. 44, Issue 11, 1111001(2017)

Measurement of Iodine Value of Pork′s Subcutaneous Adipose Tissue by Interval Partial Least Square and Raman Spectroscopy

Zhao Fang and Peng Yankun*
Author Affiliations
  • [in Chinese]
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    Figures & Tables(8)
    Experimental procedure
    Raw Raman spectra of 41 pork fat samples
    Average Raman spectrum after fluorescence background removal
    Raman spectra processed by different methods. (a) SG smoothing; (b) first derivative; (c) 8th order polynomial fitting; (d) standard normal variate
    Statistical results of variables selected by interval partial least square
    Modeling results of interval partial least square. (a) Calibration set; (b) prediction set
    • Table 1. Distribution of iodine value in fat samples10-2

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      Table 1. Distribution of iodine value in fat samples10-2

      Data setMinimumMaximumMeanStandard deviation
      Calibration set59.7292.1571.808.42
      Prediction set61.0983.6271.437.41
    • Table 2. Modeling results of partial least square for iodine value in full wavelength

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      Table 2. Modeling results of partial least square for iodine value in full wavelength

      Preprocessing methodLatent variablesRcRMSEC /10-2RpRMSEP /10-2
      Raw spectrum60.92513.06170.92203.5648
      SG smoothing70.92683.16560.92623.0765
      8th order polynomial fitting40.93143.06840.93143.0609
      First derivative40.97621.88150.85163.3773
      Standard normal variate60.96932.07100.90903.4428
      SG and polynomial fitting60.93882.90170.88693.7101
      Polynomial fitting and first derivative40.97721.84140.85633.3448
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    Zhao Fang, Peng Yankun. Measurement of Iodine Value of Pork′s Subcutaneous Adipose Tissue by Interval Partial Least Square and Raman Spectroscopy[J]. Chinese Journal of Lasers, 2017, 44(11): 1111001

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    Paper Information

    Category: Spectroscopy

    Received: Jun. 5, 2017

    Accepted: --

    Published Online: Nov. 17, 2017

    The Author Email: Yankun Peng (ypeng@cau.edu.cn)

    DOI:10.3788/CJL201744.1111001

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