Evidence map›Paper›PMID 38472889›Full record

ArticleFoods (Basel, Switzerland)2024

Insight into the Relationship between the Causes of Off-Odour and Microorganism Communities in Xuanwei Ham.

Haoyi Wang, Xiaoyu Yin, Lu Zhang, Xuejiao Wang, Jiliang Zhang, Rongxin Wen, Jianxin Cao

Open access · goldAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 at 2 institutions in 1 country.

Haoyi WangCollege of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Xiaoyu YinCollege of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Lu ZhangCollege of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Xuejiao WangCollege of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Jiliang ZhangCollege of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Rongxin WenCollege of Life Sciences, Yantai University, Yantai 264005, China.
Jianxin CaoCollege of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Kunming University of Science and Technology · CNYantai University · CN

Funding

Addressing Geriatric Syndromes within Permanent Supportive HousingR21AG050009 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENWOOD, BENJAMIN FOSTER · 2016 to 2017
$463k
NIA NIH HHS R21 AG050009
6 · The paper itself

Abstract

To expound on the correlation between the microorganism communities and the formation of off-odour in Xuanwei ham, the microorganism communities and volatile compounds were investigated in the biceps femoris (BF) and semimembranosus (SM) of Xuanwei ham with different quality grades (normal ham and spoiled ham). The single molecule real-time sequencing showed that differential bacteria and fungi were more varied in normal hams than in spoiled hams. Headspace solid-phase microextraction-gas chromatography (HS-SPME-GC-MS) results indicated that aldehydes and alcohols were significantly higher in spoiled hams than those in normal hams (

Indexed as

correlation analysisHS-SPME-GC-MSmicroorganism communitiessingle molecule real-time sequencingXuanwei ham

Identifiers

PMID38472889
PMCPMC10930425
OpenAlexW4392361331

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.