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Analytical Technologies for Milk Component Analysis: A Review of Progress and Challenges
Ying Zhang1,2, Qiang Jiang1, Wenjun Zhao1
1Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Foods (Basel, Switzerland)
|August 13, 2026
Summary
This review explores methods for detecting dairy components, crucial for ensuring milk quality and safety from farm to table. It highlights advancements and challenges in analytical techniques for the dairy industry.
Area of Science:
- Food Science and Technology
- Analytical Chemistry
- Biotechnology
Background:
- Dairy products are vital sources of protein, calcium, and micronutrients.
- Component detection is essential throughout the dairy supply chain for quality control and safety.
- Detection methods have advanced from simple checks to integrated systems for risk management and traceability.
Purpose of the Study:
- To review and classify dairy components targeted for detection.
- To summarize and compare major technical systems for dairy component analysis.
- To analyze challenges and discuss future directions in dairy detection technologies.
Main Methods:
- Conventional physicochemical methods
- Chromatography and spectroscopy techniques
- Biosensing, microfluidic rapid detection, and multi-omics deep profiling
Main Results:
- Comparison of principles, advantages, and limitations of various detection methods.
- Identification of key challenges including matrix interference and standardization issues.
- Discussion of future trends towards intelligent, on-site, precise, and panoramic detection.
Conclusions:
- Accurate and efficient detection methods are critical for dairy quality and safety.
- Addressing challenges in standardization and complex matrices is necessary for method advancement.
- Future research should focus on developing integrated, intelligent, and on-site detection systems for the dairy industry.
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