Discriminating regional characteristics in volatile organic compounds of sun-dried pomfret through HS-SPME-GC×GC-TOFMS

Geographical factors play an important role in the formation of flavor compounds, leading to distinctive regional flavor characteristics of foods. This study investigates the regional aroma characteristics of sun-dried pomfret from South, East, and North China using integrated sensory evaluation, E-nose, and GC×GC-TOFMS. Sensory analysis revealed that samples from North China had higher overall aroma scores, particularly for fatty and fishy aromas. This regional distinctiveness was further confirmed by the E-nose, which segregated the North China samples into a unique cluster. Subsequently, 113 key volatile organic compounds were identified by GC×GC-TOFMS and showed correlations to key sensory attributes, which naturally clustered into three distinct groups corresponding to geographical origins. Among them, 43 compounds were selected as markers by variable importance projection (VIP > 1), predominantly ketones and unsaturated alcohols. Most of them were significantly enriched in North China samples, while styrene was most abundant in South China samples. Further, these markers were validated for regional discrimination through a machine learning model with an accuracy of 90%. This study elucidates the impact of geographical factors on the flavor of dried pomfret and provides scientific evidence for developing its regional characteristics and quality enhancement.

Authors

Institutions

Publication Details

Journal
npj Science of Food
Published
2026-07-22
DOI
https://doi.org/10.1038/s41538-026-00982-6
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Discriminating regional characteristics in volatile organic compounds of sun-dried pomfret through HS-SPME-GC×GC-TOFMS

Hong Zeng, Baosong Wang, Yue Wang, Wenlu Li et al.
npj Science of Food
Fermentation and Sensory Analysis
article

Discriminating regional characteristics in volatile organic compounds of sun-dried pomfret through HS-SPME-GC×GC-TOFMS

Hong Zeng, Baosong Wang, Yue Wang, Wenlu Li, Youming Tan, Fu Long, Weixi Yang, Ran Yi
article en

Abstract

Geographical factors play an important role in the formation of flavor compounds, leading to distinctive regional flavor characteristics of foods. This study investigates the regional aroma characteristics of sun-dried pomfret from South, East, and North China using integrated sensory evaluation, E-nose, and GC×GC-TOFMS. Sensory analysis revealed that samples from North China had higher overall aroma scores, particularly for fatty and fishy aromas. This regional distinctiveness was further confirmed by the E-nose, which segregated the North China samples into a unique cluster. Subsequently, 113 key volatile organic compounds were identified by GC×GC-TOFMS and showed correlations to key sensory attributes, which naturally clustered into three distinct groups corresponding to geographical origins. Among them, 43 compounds were selected as markers by variable importance projection (VIP > 1), predominantly ketones and unsaturated alcohols. Most of them were significantly enriched in North China samples, while styrene was most abundant in South China samples. Further, these markers were validated for regional discrimination through a machine learning model with an accuracy of 90%. This study elucidates the impact of geographical factors on the flavor of dried pomfret and provides scientific evidence for developing its regional characteristics and quality enhancement.

npj Science of Food
Beijing Technology and Business University (CN)
Reduced inequalities
Openalex Percentile: Top 10%
Fermentation and Sensory Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.