Evidence map›Paper›PMID 42588007›Full record

ArticleFoods (Basel, Switzerland)2026

Dairy Spoilage Bacteria and Their Lipases: Prevalence Patterns and Molecular Traits.

Yuying Lu, Qian Wu, Jinling Wang, Pradeep K Malakar, Xu Wang, Dongmei Wang

Abstract read
In one paragraph

Article 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

6 authors.

Yuying LuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Qian WuCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Jinling WangNational Center of Technology Innovation for Dairy, Hohhot 010110, China.
Pradeep K MalakarCollege of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Xu WangNational Center of Technology Innovation for Dairy, Hohhot 010110, China.
Dongmei WangNational Center of Technology Innovation for Dairy, Hohhot 010110, China.

Funding

National Center of Technology Innovation for Dairy 2024-JSGG-009
6 · The paper itself

Abstract

Dairy product spoilage is primarily caused by microbial contamination and lipase activity. Systematically assessing contamination risks and elucidating the structural and functional characteristics of key lipases form a crucial foundation for achieving precise prevention and control. This article integrated 79 studies (2003-2025) to preliminarily explore the geographical distribution characteristics of spoilage bacterial contamination. The combined contamination rates were relatively high in South America (89.5%), North America (88.3%) and Asia (87.3%), followed by Europe (86.0%) and Oceania (82.2%), while Africa showed a lower rate (57.6%) based on limited data. Product-level risk differences were also identified. Considering data robustness, in addition to raw milk (92.6%), milk powder also showed a high contamination rate (86.8%). The spoilage bacterial community was highly concentrated, with

Indexed as

Bacillusdairy spoilagelipasemeta-analysisPseudomonasα/β hydrolase

Identifiers

PMID42588007
PMCPMC13465635

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.