Evidence map›Paper›PMID 41008204›Full record

ArticleFoods (Basel, Switzerland)2025

Analysis of Physicochemical Characteristics, Flavor, and Microbial Community of Sichuan Industrial Paocai Fermented by Traditional Technology.

Shuang Xian, Hongchen Li, Xinyi Wang, Xiangchao He, Yanlan Li, Xinyan Liu, Guanghui Shen, Anjun Chen

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Shuang XianCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.ORCID 0000-0002-3575-4772
Hongchen LiCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Xinyi WangCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Xiangchao HeCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Yanlan LiCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Xinyan LiuCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
Guanghui ShenCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.ORCID 0000-0002-5994-9865
Anjun ChenCollege of Food Science, Sichuan Agricultural University, Ya'an 625014, China.ORCID 0000-0002-8933-6998

Funding

Sichuan Liji Lebao Food co Ltd Support project (paocai pro-cessing upgrading plan) No. SCNDLJ2019001
6 · The paper itself

Abstract

Sichuan Paocai is a representative traditional fermented vegetable in China, which is deeply embedded in local geographical and cultural heritage. However, regional differences in product characteristics remain poorly understood. In this study, the physicochemical properties, volatile compounds, and microbial communities of Paocai from seven production regions in Sichuan (named FB, AB, BZ, CD, DZ, MY, and YS) were systematically investigated. Parameters including pH, salinity, nitrite, organic acids, and color were determined, while volatile profiles were analyzed using an electronic nose and comprehensive two-dimensional gas chromatography-mass spectrometry. A total of 294 volatile compounds were identified, with alcohols, esters, and isothiocyanates emerging as the major contributors to flavor differentiation. UMAP and OPLS-DA analyses revealed distinct regional clustering, which was consistent with electronic nose profiling, and 111 volatile compounds were identified as key aroma markers. Microbial diversity was assessed using 16S rRNA gene sequencing, demonstrating that

Indexed as

fermentationfermented vegetablesPaocairegional characteristicsvolatile flavor compounds

Identifiers

PMID41008204
PMCPMC12470004

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LicenceCC BY
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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.