Evidence map›Paper›PMID 38137316›Full record

ArticleFoods (Basel, Switzerland)2023

Effects of Fermentation with

Chenchen Cao, Geoffrey I N Waterhouse, Weizheng Sun, Mouming Zhao, Dongxiao Sun-Waterhouse, Guowan Su

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Fermentation of Pea Protein Isolate byFoods (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Effect ofFoods (Basel, Switzerland) · 2024
    Article
  9. Article
  10. Effects of Fermentation withFoods (Basel, Switzerland) · 2023
    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

6 authors at 2 institutions in 2 countries.

Chenchen CaoSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0003-1290-1482
Geoffrey I N WaterhouseSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0002-3296-3093
Weizheng SunSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0001-5769-4275
Mouming ZhaoSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Dongxiao Sun-WaterhouseSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Guowan SuSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.
South China University of Technology · CNUniversity of Auckland · NZ

Funding

National Natural Science Foundation of China 32172329Natural Science Foundation of Guangdong Province 2022A1515010060Science and Technology Program of Qingyuan 2022KJJH018
6 · The paper itself

Abstract

The effects of fermentation with lactic acid bacteria (LAB) and yeast on the aroma of samples were analyzed in this work. The volatile features of different soybean hydrolysates were investigated using both GC-MS and GC-IMS. Only 47 volatile flavor compounds (VFCs) were detected when using GC-IMS, while a combination of GC-MS and GC-IMS resulted in the identification of 150 compounds. LAB-yeast fermentation could significantly increase the diversity and concentrations of VFCs (

Indexed as

GC-IMSGC-MSlactic acid bacteriasoybean protein hydrolysatesvolatile flavor compoundsyeast

Identifiers

PMID38137316
PMCPMC10742455
OpenAlexW4389912660

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.