Evidence map›Paper›PMID 36845488›Full record

ArticleFood chemistry: X2023

HS-SPME-GC × GC/MS combined with multivariate statistics analysis to investigate the flavor formation mechanism of tank-fermented broad bean paste.

Shiqi Liao, Jinlin Han, Chunyan Jiang, Binbin Zhou, Zhenju Jiang, Jie Tang, Wenwu Ding, Zhenming Che, Hongbin Lin

Abstract read
In one paragraph

Article in Food chemistry: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Shiqi LiaoSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Jinlin HanSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Chunyan JiangSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Binbin ZhouSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Zhenju JiangSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Jie TangSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Wenwu DingSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Zhenming CheSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.
Hongbin LinSchool of Food and Bio-engineering, Xihua University, Chengdu 610039, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advancement of industrialization, tank fermentation technology is promising for Pixian broad bean paste. This study identified and analyzed the general physicochemical factors and volatile metabolites of fermented broad beans in a thermostatic fermenter. Headspace solid-phase microextraction (HS-SPME)-two-dimensional gas chromatography-mass spectrometry (GC × GC-MS) was applied to detect the volatile compounds in fermented broad beans, while metabolomics was used to explore their physicochemical characteristics and analyze the possible metabolic mechanism. A total of 184 different metabolites were detected, including 36 alcohols, 29 aldehydes, 26 esters, 21 ketones, 14 acids, 14 aromatic compounds, ten heterocycles, nine phenols, nine organonitrogen compounds, seven hydrocarbons, two ethers, and seven other types, which were annotated to various branch metabolic pathways of carbohydrate and amino acid metabolism. This study provides references for subsequent functional microorganism mining to improve the quality of the tank-fermented broad beans and upgrade the Pixian broad bean paste industry.

Indexed as

Broad bean pasteGC x GC/MSMetabolomicsVolatile compounds

Identifiers

PMID36845488
PMCPMC9943836

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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.