Food and Fermentation Industries >

2025 , Vol. 51 >Issue 16: 363 - 373

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.041305

Research progress in quality detection technologies for milk and milk powder

  • SONG Xiaodong ,
  • DONG Guanjun ,
  • DING Haohan ,
  • SHEN Song ,
  • XIE Zhenqi ,
  • CUI Xiaohui ,
  • TIAN Jiawei ,
  • WANG Long ,
  • CHENG Wenxu ,
  • HE Wancheng
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  • 1(Key Laboratory of Dairy Quality Digital Intelligence Monitoring Technology, State Administration for Market Regulation, Hohhot 011517, China)
    2(Inner Mongolia Mengniu Dairy (Group) Limited by Share Ltd., Hohhot 011517, China)
    3(Science Center for Future Foods, Jiangnan University, Wuxi 214122, China)
    4(School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China)
    5(School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China)

Received date: 2024-10-16

  Revised date: 2025-01-09

  Online published: 2025-08-29

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Abstract

This paper presents a systematic review of quality testing technologies for milk and milk powder, focusing on traditional detection methods for chemical, physical, and sensory indicators, as well as the application of modern technology in testing.Traditional methods such as chemical analysis, physical measurements, and sensory evaluation, while demonstrating good testing accuracy, often have limitations including lengthy testing times, complex operations, and high requirements for equipment and personnel.With technological advancement, emerging technologies such as artificial intelligence, the Internet of things, and blockchain have been gradually introduced into milk powder testing, promoting intelligent, automated, and digitalized testing methods.These modern testing technologies, through real-time monitoring, remote data processing, and supply chain transparency, have not only improved testing efficiency and accuracy but also achieved non-destructive testing and quality traceability throughout the entire process from production to consumption, significantly enhancing the safety and transparency of milk powder.

Key words： milk; milk powder; quality inspection; artificial intelligence; blockchain; internet of things

Cite this article

SONG Xiaodong , DONG Guanjun , DING Haohan , SHEN Song , XIE Zhenqi , CUI Xiaohui , TIAN Jiawei , WANG Long , CHENG Wenxu , HE Wancheng . Research progress in quality detection technologies for milk and milk powder[J]. Food and Fermentation Industries, 2025 , 51(16) : 363 -373 . DOI: 10.13995/j.cnki.11-1802/ts.041305

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