Evidence map›Paper›PMID 36172528›Full record

ArticleFrontiers in nutrition2022

Quick classification of strong-aroma types of base Baijiu using potentiometric and voltammetric electronic tongue combined with chemometric techniques.

Ling Ao, Kai Guo, Xinran Dai, Wei Dong, Xiaotao Sun, Baoguo Sun, Jinyuan Sun, Guoying Liu, Anjun Li, Hehe Li and 1 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Article
  2. Unraveling the water source and formation process ofFood science and biotechnology · 2025
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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

11 authors.

Ling AoBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Kai GuoBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Xinran DaiBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Wei DongBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Xiaotao SunBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Baoguo SunBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Jinyuan SunBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Guoying LiuCenter for Solid-state Fermentation Engineering of Anhui Province, Bozhou, China.
Anjun LiCenter for Solid-state Fermentation Engineering of Anhui Province, Bozhou, China.
Hehe LiBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.
Fuping ZhengBeijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, the classification of strong-aroma types of base Baijiu (base SAB) is mainly achieved by human sensory evaluation. However, prolonged tasting brings difficulties for sommeliers in guaranteeing the consistency of results, and may even cause health problems. Herein, an electronic tongue (E-Tongue) combined with a gas chromatography-mass spectrometry (GC-MS) method was successfully developed to grade high-alcoholic base SAB. The E-tongue was capable of identifying base SAB samples into four grades by a discriminant function analysis (DFA) model based on human sensory evaluation results. More importantly, it could effectively and rapidly predict the quality grade of unknown base SAB with an average accuracy up to 95%. The differences of chemical components between base SAB samples were studied by the GC-MS analysis and 52 aroma compounds were identified. The qualitative and quantitative results showed that with the increase of base SAB grade, the varieties and contents of aroma compounds increased. Overall, the comprehensive analysis of E-tongue data and GC-MS results could be in good agreement with human sensory evaluation results, which also proved that the newly developed method has a potential to be a useful alternative to the overall quality grading of base Baijiu.

Indexed as

discriminant function analysiselectronic tongueGC-MSprincipal component analysisstrong-aroma types of base Baijiu

Identifiers

PMID36172528
PMCPMC9512042

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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.