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Detection of Foreign-Body in Milk Powder Processing Based on Terahertz Imaging and Spectrum

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Abstract

The safety of milk powder is closely related to everyone’s life. In the production of milk powder, it is often easy to mix in foreign bodies, such as light and thin plastic, insects, metals, and other foreign bodies. In this paper, THz spectroscopy is used to detect common foreign bodies in milk powder, such as polymer materials (i.e., PP, PVC, and PE), insects, and metal gaskets. The detection of foreign bodies in milk powder can be realized by using THz spectroscopy combined with random forest discrimination method, and the recognition accuracy rate reaches 100%. The accuracy rate also reaches 100% when the types of foreign bodies are distinguished, thus, successfully realizing the identification and qualitative discrimination of foreign bodies in milk powder. At the same time, THz imaging technology is used to detect milk powder with foreign bodies. The outline and the boundaries of foreign bodies in milk powder are clear in the imaging from 0.5 to 1.0 THz. Thus, the size and shape of foreign bodies in milk powder can be well distinguished. This experiment verifies the feasibility of qualitative detection of foreign bodies in milk powder by the combination of terahertz imaging and spectrum, and established a better random forest detection model, which proposes a solution to ensure the safety of milk powder.

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References

  1. Bilge G, Sezer B, Eseller K E, et al. Determination of whey adulteration in milk powder by using laser induced breakdown spectroscopy [J]. Food chemistry, 2016, 212: 183-188.

    Article  Google Scholar 

  2. Xie L , Chen M , Ying Y . Development of Methods for Determination of Aflatoxins[J]. Critical Reviews in Food Science and Nutrition. 2016,56(16): 2642-2664.

    Article  Google Scholar 

  3. Wang C, Zhou R, Huang Y, et al. Terahertz spectroscopic imaging with discriminant analysis for detecting foreign materials among sausages [J]. Food Control, 2019, 97: 100-104.

    Article  Google Scholar 

  4. Afsah-Hejri L, Hajeb P, Ara P, et al. A Comprehensive Review on Food Applications of Terahertz Spectroscopy and Imaging[J]. Comprehensive Reviews in Food Science and Food Safety, 2019, 18(5): 1563-1621.

    Article  Google Scholar 

  5. Wang C, Qin J, Xu W, et al. Terahertz imaging applications in agriculture and food engineering: A review[J]. 2018.

  6. Ok G, Park K, Lim M C, et al. 140-GHz subwavelength transmission imaging for foreign body inspection in food products[J]. Journal of food engineering, 2018, 221: 124-131.

    Article  Google Scholar 

  7. Zhao G Z, Wang H, Liu L M, et al. THz spectra of parabens at low temperature[J]. Science China Information Sciences, 2012, 55(1): 114-119.

    Article  Google Scholar 

  8. Mittleman D M, Jacobsen R H, Nuss M C. T-ray imaging[J]. IEEE Journal of selected topics in quantum electronics, 1996, 2(3): 679-692.

    Article  Google Scholar 

  9. M.C. Nuss. Chemistry is right for T-ray imaging[J]. IEEE Circuits and Devices Magazine.1996,12(2): 25-30.

    Article  Google Scholar 

  10. Wang, S., Ferguson, B., Abbott, D. et al. T-ray Imaging and Tomography. Journal of Biological Physics 29, 247-256 (2003).

    Article  Google Scholar 

  11. Bradley S. Ferguson, Shaohong Wang, Hua Zhong, Derek Abbott, and Xi-Cheng Zhang. Powder retection with T-ray imaging[C]. Terahertz for military and security applications: 2003:7-16.

  12. Yasuyuki Morita, Adrian Dobroiu,Kodo Kawase,Chiko Otani.Terahertz technique for detection of microleaks in the seal of flexible plastic packages[J]. Optical Engineering,2005,44(1):019001-1-6-0.

    Article  Google Scholar 

  13. Joerdens C, Koch M.Detection of foreign bodies in chocolate with pulsed terahertz spectroscopy[J]. Optical Engineering, 2008, 47(3):281-291.

    Google Scholar 

  14. Lee YoungKi, Choi SungWook, Han SeongTae, Woo DeogHyun, Chun HyangSook. Detection of foreign bodies in foods using continuous wave terahertz imaging.[J]. Journal of food protection, 2012, 75(1):179-183.

    Article  Google Scholar 

  15. Yang Zhen-gang, Liu Jing-song, Wang Ke-jia. Experimental Research on Nondestructive Testing for Multilayer Cellular Samples by Continuous Terahertz Waves Imaging System[J]. Journal of Optoelectronics •Laser, 2013, 24(06):1158-1162 (in Chinese)

    Google Scholar 

  16. Ikari, T. Takahashi, N. Fukasawa, R. Duling, I. Non-metallic foreign matter detection in powder using terahertz pulse[C]. //International Conference on Infrared, Millimeter, and Terahertz Waves.:Institute of Electrical and Electronics Engineers, 2014:1-2.

  17. Chen Wang, Ruiyun Zhou,Yuxin Huang,Lijuan Xie,Yibin Ying.Terahertz spectroscopic imaging with discriminant analysis for detecting foreign materials among sausages[J]. Food Control, 2019, 97:100-104.

    Article  Google Scholar 

  18. Ok G, Kim H J, Chun H S, et al. Foreign-body detection in dry food using continuous sub-terahertz wave imaging[J]. Food control, 2014, 42: 284-289.

    Article  Google Scholar 

  19. Lee W H, Lee W. Food inspection system using terahertz imaging [J]. Microwave and Optical Technology Letters, 2014, 56(5): 1211-1214.

    Article  Google Scholar 

  20. Mathanker S K, Weckler P R, Wang N. Terahertz (THz) applications in food and agriculture: A review [J]. Trans. ASABE, 2013, 56(3): 1213-1226.

    Google Scholar 

  21. Suhandy D, Yulia M. Peaberry coffee discrimination using uv-visible spectroscopy combined with SIMCA and PLS-DA [J]. International journal of food properties, 2017, 20(sup1): S331-S339.

    Article  Google Scholar 

  22. Villa J E L, Quiñones N R, Fantinatti-Garboggini F, et al. Fast discrimination of bacteria using a filter paper–based SERS platform and PLS-DA with uncertainty estimation[J]. Analytical and bioanalytical chemistry, 2019, 411(3): 705-713.

    Article  Google Scholar 

  23. Hutengs C, Vohland M. Downscaling land surface temperatures at regional scales with random forest regression [J]. Remote Sensing of Environment, 2016, 178: 127-141.

    Article  Google Scholar 

  24. Jog A, Carass A, Roy S, et al. Random forest regression for magnetic resonance image synthesis [J]. Medical image analysis, 2017, 35: 475-488.

    Article  Google Scholar 

  25. Dorney T D, Baraniuk R G, Mittleman D M. Material parameter estimation with terahertz time-domain spectroscopy[J]. JOSA A, 2001, 18(7): 1562-1571.

    Article  Google Scholar 

  26. Duvillaret L, Garet F, Coutaz J L. Highly precise determination of optical constants and sample thickness in terahertz time-domain spectroscopy[J]. Applied optics, 1999, 38(2): 409-415.

    Article  Google Scholar 

  27. Zhang L, Li G, Sun M, et al. Kennard-Stone combined with least square support vector machine method for noncontact discriminating human blood species[J]. Infrared Physics & Technology, 2017, 86: 116-119.

    Article  Google Scholar 

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Acknowledgement

The authors gratefully acknowledge the financial support of National 863 Program (SS2012AA101306) , “the 12th Five-Year Plan”, Jiangxi Advantageous Science and Technology Innovation Team Construction Plan (20153BCB24002), Collaborative Innovation Center Project of Intelligent Management Technology and Equipment for Southern Mountain Orchards (G.J.G.Z. [2014] No.60), National Natural Science Foundation of China (2002017018), Science and Technology Research Youth Project of Jiangxi Education Department (GJJ190348), and Innovation Fund Project for Doctoral Students of Jiangxi Province (YC2019-B106).

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Authors and Affiliations

  1. School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang, Jiangxi, 330013, People’s Republic of China

    Jun Hu, Zhen Xu, Maopeng Li, Xudong Sun & Yande Liu

  2. School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China

    Jun Hu & Yong He

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  1. Jun Hu
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  2. Zhen Xu
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  3. Maopeng Li
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  4. Yong He
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  5. Xudong Sun
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  6. Yande Liu
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Correspondence to Yande Liu.

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Hu, J., Xu, Z., Li, M. et al. Detection of Foreign-Body in Milk Powder Processing Based on Terahertz Imaging and Spectrum. J Infrared Milli Terahz Waves 42, 878–892 (2021). https://doi.org/10.1007/s10762-021-00802-w

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  • DOI: https://doi.org/10.1007/s10762-021-00802-w

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