Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1235(2022)

Design of Portable Flour Quality Safety Detector Based on Diffuse Transmission Near-Infrared Spectroscopy

Xiao-hong ZHANG1、*, Xue-song JIANG1、1; *;, Fei SHEN2、2; *;, Hong-zhe JIANG1、1;, Hong-ping ZHOU1、1;, Xue-ming HE2、2;, Dian-cheng JIANG1、1;, and Yi ZHANG3、3;
Author Affiliations
  • 11. School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
  • 22. College of Food Science & Engineering of Nanjing University of Finance and Economics, Nanjing 210023, China
  • 33. Jiangsu Grain and Oil Quality Inspection Center, Nanjing 210031, China
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    Figures & Tables(21)
    Working principle of detection system
    Schematic diagram of device hardware(a): Instrument strumcture diagram; (b): Physical drawing of instrument 1: Shell; 2: Vent; 3: Micro spectrometer; 4: Grip; 5: Upper cover and touch screen; 6: Raspberry Pi 4B; 7: Lug boss; 8: Light source control circuit board; 9: Card slot; 10: Testing accessories; 11: Power Supply
    Test accessories1: Objective table; 2: Copper stud; 3: Light source seat; 4: Light source cover; 5: Sample pool; 6: Reflective cover; 7: Optical fiber collimating mirror; 8: Adjusting rod; 9: Swallowtail guide slide block; 10: Dovetail guide rail; 11: Support
    Spectra of flour samples with different quantities
    Light source control module1: Circuit board; 2: Raspberry Pi 4B; 3: Lithium battery;4: 1 kΩ pull-up resistor; 5: Halogen lamp bead;6: TIP120 Darlington transistor
    Original spectra of flour
    Box plot graphics depicting the outliers in original spectra
    Box plot graphics depicting the outliers removed
    Savitzky-Golay smoothing
    Score plot of PCA
    PCA of modeling set samples
    Decision boundary
    Confusion matrix of LR prediction result
    LR ROC curves
    Testing system interface
    Work flow chart
    Test results of flour moisture
    • Table 1. Moisture measurement results of flour

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      Table 1. Moisture measurement results of flour

      Yellow sample setMin/%Max/%Average/%Standard deviation/%
      Calibrationset11.4914.8613.180.61
      Predictionset12.0215.3113.530.52
    • Table 2. Measurement results of DON content in flour

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      Table 2. Measurement results of DON content in flour

      Blue sample setMin/(mg·kg-1)Max/(mg·kg-1)Average/(mg·kg-1)Standard deviation /(mg·kg-1)
      Calibration set0.005 18.455 60.873 41.339 6
      Prediction set0.021 28.999 60.856 11.518 6
    • Table 3. PLSR prediction models after different pretreatment

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      Table 3. PLSR prediction models after different pretreatment

      Pre-
      treatment
      Calibration setPrediction setRPD
      Rc2RMSEC/%Rp2RMSEC/%
      None0.8830.3820.8530.2862.5
      MSC0.8260.3930.8030.3162.2
      SG0.8720.3510.7940.2642.4
      SNV0.7830.4100.7220.3232.0
    • Table 4. Detection result of samples in external verification set

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      Table 4. Detection result of samples in external verification set

      NumberPredict resultTrue result
      0111
      0200
      0300
      0400
      0511
      0600
      0711
      0800
      0910
      1000
      1100
      1211
      1311
      1400
      1500
      1600
      1710
      1800
      1900
      2000
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    Xiao-hong ZHANG, Xue-song JIANG, Fei SHEN, Hong-zhe JIANG, Hong-ping ZHOU, Xue-ming HE, Dian-cheng JIANG, Yi ZHANG. Design of Portable Flour Quality Safety Detector Based on Diffuse Transmission Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1235

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    Paper Information

    Category: Research Articles

    Received: Mar. 27, 2021

    Accepted: --

    Published Online: Jul. 25, 2023

    The Author Email: Xiao-hong ZHANG (295719410@qq.com)

    DOI:10.3964/j.issn.1000-0593(2022)04-1235-08

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