Evidence map›Paper›PMID 42904099›Full record

ArticleFood chemistry: X2026

Geographical origin discrimination of honey based on physicochemical properties and chemical composition.

Jialiang Zou, Huanhuan Xu, Peng Wang, Lin Zhang, Liangping Li, Lin Chen, Hongping Chen, Fu Wang, Yuan Hu, Youping Liu

Abstract read
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Article in Food chemistry: X, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jialiang ZouLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Huanhuan XuLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Peng WangLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Lin ZhangLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Liangping LiLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Lin ChenLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Hongping ChenLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Fu WangLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yuan HuLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Youping LiuLab for Innovation & Effective Uses of Chinese Drug Germplasm Resources, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geographical origin significantly determines honey quality. This study analyzed the physicochemical properties, volatile and non-volatile profiles of honey from different regions. Significant variations in physicochemical characteristics were observed among honey samples. Notably, Hongqicun honey (HQC) exhibited the highest ash content (0.48%), electrical conductivity (EC, 501.67 μS/cm), α-amylase activity (4.39 mg/min/g), total flavonoids (123.44 μg RE/g), and total phenolics (531.58 μg GAE/g). Derong honey (DR) with honeycomb (DRH) possessed the strongest ABTS, DPPH and FRAP antioxidant activities. The established random forest model achieved high discrimination accuracy. A total of 696 volatile and 2246 non-volatile compounds were annotated via HS-SPME-GC-MS and UPLC-MS/MS, respectively, with distinct differences in composition and abundance. HQC, DR and DRH were clearly distinguished from other samples, whereas honey from other origins was hardly separable. The findings indicate that physicochemical properties provide the most effective basis for discriminating honey by geographical origin, offering a valuable reference for origin authentication.

Indexed as

GC–MSGeographical originHoneyPhysicochemical propertiesUPLC-MS/MS

Identifiers

PMID42904099
PMCPMC13682185

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