Evidence map›Paper›PMID 41103313›Full record

ArticleFrontiers in nutrition2025

Analysis of flavor characteristics of peanut porridge using gas chromatography-ion mobility spectrometry combined with intelligent sensory technology.

Bihua Yuan, Yun Tian, Xuan Zhu, Kaiqi Cheng, Wengang Jin, Qing Liu, Jing Li, Haiyan Sun

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bihua YuanSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.
Yun TianSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.
Xuan ZhuSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.
Kaiqi ChengSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.
Wengang JinSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.
Qing LiuSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.
Jing LiSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.
Haiyan SunSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to investigate the differences in flavor compounds between aged and fresh peanuts and their effects on peanut porridge aroma, taste, and volatile fingerprint profiles. Methods: Gas chromatography-ion mobility spectrometry (GC-IMS), combined with electronic sensory technologies such as electronic tongue and electronic nose, was applied to analyze peanut porridge processed under different treatments. Partial least squares-discriminant analysis (PLS-DA) and principal component analysis (PCA) were used to identify characteristic volatiles and discriminate treatments. Results: Electronic tongue and electronic nose analyses effectively distinguished peanut porridges based on flavor characteristics. A total of 47 volatile compounds were detected, including 10 alcohols, 10 esters, 6 ketones, 5 acids, 2 alkenes, 6 aldehydes, and 8 other compounds. PLS-DA identified 16 characteristic volatiles (VIP > 1), such as 2-pentanone, ethyl hexanoate, 2-acetylfuran, butanal, pentyl acetate, and heptanal. PCA showed that two principal components accounted for 66.7% of the total variance, enabling clear discrimination among treatments. Discussion: The study systematically explored key differences in volatile compounds between aged and fresh peanuts and analyzed their impact on sensory attributes, particularly aroma and flavor perception. These findings enhance understanding of flavor formation mechanisms in peanut-based products and provide scientific evidence for flavor modulation, formulation optimization, product innovation, and quality control.

Indexed as

electronic noseelectronic tongueflavor characteristicsgas chromatography-ion mobility spectrometrypeanut porridge

Identifiers

PMID41103313
PMCPMC12521098

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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.