Evidence map›Paper›PMID 42588010›Full record

ReviewFoods (Basel, Switzerland)2026

Analytical Technologies for Milk Component Analysis: A Review of Progress and Challenges.

Ying Zhang, Qiang Jiang, Wenjun Zhao, Yujie Wang, Xiaochao Wei, Yali Zhang, Xiuge Wang, Jinming Huang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ying ZhangInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.ORCID 0009-0000-3606-1401
Qiang JiangInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Wenjun ZhaoInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Yujie WangInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Xiaochao WeiInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Yali ZhangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-5354-1973
Xiuge WangInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Jinming HuangInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan 250100, China.

Funding

Shandong Academy of Agricultural Sciences CXGC2026A02、2023ZD04049、2021YFF1000700、2022LZGC012、2021LZG011、32272854、32573191、W2512086
6 · The paper itself

Abstract

Dairy products are an important source of high-quality protein, calcium, and various micronutrients in the human diet. The detection of milk components spans the entire industrial chain, including raw milk quality control, processing management, and market supervision. It has evolved from traditional pass/fail judgment toward an integrated approach encompassing risk early warning, quality enhancement, and traceability and authentication. This paper reviews the classification of dairy components targeted for detection and summarizes major technical systems, including conventional physicochemical methods, chromatography and spectroscopy techniques, biosensing and microfluidic rapid detection, as well as multi-omics-based deep profiling. The principles, advantages, and application limitations of each method are compared. Key challenges such as complex matrix interference, lack of reference standards, and standardization of rapid detection methods are analyzed. Future directions toward intelligent, on-site, precise, and panoramic detection are also discussed, aiming to provide technical references for quality and safety control, quality improvement, and high-quality development of the dairy industry.

Indexed as

dairy productsmilk component detectionmulti-omicsquality and safetyrapid detection

Identifiers

PMID42588010
PMCPMC13465885

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.