Evidence map›Paper›PMID 42073222›Full record

ArticleFoods (Basel, Switzerland)2026

Comparative Microbiota and Metabolite Profiles of Undried and Dried Typica Luwak (Civet) Coffee Beans.

Mengjie Li, Xianwen Wang, Liyan Ma, Kunlun Huang, Tao Tong

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

5 authors.

Mengjie LiCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-9175-4806
Xianwen WangBaoshan Inspection and Testing Institute, Baoshan 678000, China.
Liyan MaCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Kunlun HuangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Tao TongCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-9309-2893

Funding

2025 Baoshan Municipal Science and Technology Program 2025bskj09Beijing Natural Science Foundation 7222249
6 · The paper itself

Abstract

Kopi Luwak (civet coffee), produced from coffee beans recovered from the feces of the Asian palm civet, is among the most expensive specialty coffees worldwide for its unique sensory characteristics. In this study, a multi-omics strategy was employed to elucidate the impact of drying on the microbial community structure and metabolic profiles of Typica Kopi Luwak beans. Drying induced pronounced shifts in the microbial composition, with a significant enrichment of

Indexed as

dry processingKopi Luwak (civet coffee)metabolomemicrobiometypica coffee

Identifiers

PMID42073222
PMCPMC13114948

What OpenQuestion holds

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Registered trials

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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.