Geographical authentication of rose cakes <i>via</i> integrated HS-SPME-GC-MS, GC-IMS, and chemometric profiling

The flavor profiles of rose cakes derived from roses cultivated in distinct geographical regions exhibit notable variations. This study aimed to compare volatile flavor compounds in rose cakes to identify regional distinctions. Roses from Shandong (SD), Henan (HN), Xinjiang (XJ), Yunnan (YN), and Gansu (GS) were processed into cakes, and their volatile organic compounds (VOCs) were analyzed using electronic nose (e-nose), electronic tongue (e-tongue), headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS), and gas chromatography-ion mobility spectrometry (GC-IMS). Flavor fingerprints were established <i>via</i> relative aroma activity values (ROAVs) and principal component analysis (PCA). The results revealed distinct profiles: YN samples showed elevated alcohols and aldehydes, HN contained higher ketones, GS exceeded 50% alcohol content, and Yunnan samples exhibited the most complex flavor profile, whereas Henan and Shandong samples displayed pronounced fruity, sweet, and herbaceous notes. Gansu samples demonstrated distinct floral dominance. This study enhances understanding of regional flavor variations in rose cakes and provides insights for product differentiation and consumer guidance. It empowers consumers to verify product authenticity, combatting food fraud, while supporting rural economies through geographically indicated (GI) certification.

Authors

Institutions

Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay00686d
Citations
3
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
3.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geographical authentication of rose cakes via integrated HS-SPME-GC-MS, GC-IMS, and chemometric profiling

Shanli Peng, Sheng‐Ming Lei, Chao Ma, Yun‐Guo Liu et al.
3 citations
Analytical Methods
Fermentation and Sensory Analysis
3.49
article

Geographical authentication of rose cakes via integrated HS-SPME-GC-MS, GC-IMS, and chemometric profiling

Shanli Peng, Sheng‐Ming Lei, Chao Ma, Yun‐Guo Liu, Yaoyao Li, Wenzhu Guo, Lingxiao Liu, Chong Yu, Jiang Ren
article en
3 citations

Abstract

The flavor profiles of rose cakes derived from roses cultivated in distinct geographical regions exhibit notable variations. This study aimed to compare volatile flavor compounds in rose cakes to identify regional distinctions. Roses from Shandong (SD), Henan (HN), Xinjiang (XJ), Yunnan (YN), and Gansu (GS) were processed into cakes, and their volatile organic compounds (VOCs) were analyzed using electronic nose (e-nose), electronic tongue (e-tongue), headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS), and gas chromatography-ion mobility spectrometry (GC-IMS). Flavor fingerprints were established <i>via</i> relative aroma activity values (ROAVs) and principal component analysis (PCA). The results revealed distinct profiles: YN samples showed elevated alcohols and aldehydes, HN contained higher ketones, GS exceeded 50% alcohol content, and Yunnan samples exhibited the most complex flavor profile, whereas Henan and Shandong samples displayed pronounced fruity, sweet, and herbaceous notes. Gansu samples demonstrated distinct floral dominance. This study enhances understanding of regional flavor variations in rose cakes and provides insights for product differentiation and consumer guidance. It empowers consumers to verify product authenticity, combatting food fraud, while supporting rural economies through geographically indicated (GI) certification.

Analytical MethodsVol. 17(35)
Linyi University (CN), Coal Industry Jinan Design & Research Institute (China) (CN), Kai Biotech (South Korea) (KR), Ministry of Education (MV), Institute of New Materials (CN)
Openalex Percentile: Top 8%
Fermentation and Sensory Analysis
3.49
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.