Evidence map›Paper›PMID 39335819›Full record

ArticleFoods (Basel, Switzerland)2024

The Accurate and Exclusive Quantification of Somatic Cells in Raw Milk with an OPD-Cu

Menghui Xie, Meng Wang, Siyuan Liu, Yingying Liu, Ziquan Wang, Guoping Zhou, Zhiwei Sui

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Synthetic toehold biosensors for detectingFrontiers in microbiology · 2026
    Article
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

7 authors.

Menghui XieCenter for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
Meng WangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
Siyuan LiuCenter for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
Yingying LiuCenter for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
Ziquan WangCenter for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.
Guoping ZhouSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China.
Zhiwei SuiCenter for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China.

Funding

Fundamental Research Funds for Central Public Welfare Scientific Research Institutes AKYZD2408, AKYZD2110, AKYJJ2305, and AKY1958National Key Research and Development Program of China 2023YFF0613603National Natural Science Foundation of China 32200091Science and Technology Program of the State Administration for Market Regulation 2019MK114
6 · The paper itself

Abstract

The somatic cell count (SCC) refers to the number of somatic cells present in each milliliter of raw milk and serves as a crucial indicator of dairy cow udder health and raw milk quality. Traditional SCC detection methods are often time-consuming, expensive, and susceptible to bacterial interference, rendering them unsuitable for the rapid and unbiased assessment of raw milk quality. Consequently, there is an urgent need for a low-cost, accurate, and user-friendly SCC quantification method. Here, a method based on an OPD-Cu

Indexed as

colorimetric assayCu2+OPDraw milksomatic cell count

Identifiers

PMID39335819
PMCPMC11431095

What OpenQuestion holds

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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.