Phytochemical diversity and antioxidant capacity of citrus cultivars in Zhejiang: a phenolic profiling study for resource evaluation and differentiation

To elucidate the under-characterized phytochemical diversity of regionally important citrus germplasm, this study performed a comparative analysis of phenolic profiles and antioxidant activities in seven cultivars from Zhejiang Province, including commercial, locally adapted and emerging varieties. Using UPLC-MS/MS, 17 flavonoids and 11 phenolic acids were quantified in peel and pulp tissues, revealing significant metabolite differentiation among varieties. The hybrid variety Gaocheng (pomelo × orange) displayed a distinct intermediate chemotype. It was characterized by the concurrent accumulation of naringin, and hesperidin. Notably, the peels of Ponkan, Bendizao, Gaocheng, and Miyagawa wase were identified as rich sources of bioactive PMFs. All peel extracts exhibited strong antioxidant activity, with Gaocheng showing the highest comprehensive antioxidant capacity. PCA and HCA revealed that phenolic composition was strongly associated with genetic background, classifying the varieties into three distinct groups. Collectively, these findings provide a foundation for the utilization of citrus by-products, cultivar authentication, and breeding strategies for enhanced bioactivity.

Authors

Institutions

Publication Details

Journal
Frontiers in Nutrition
Published
2026-04-01
DOI
https://doi.org/10.3389/fnut.2026.1799170
Primary Topic
Phytochemicals and Antioxidant Activities
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phytochemical diversity and antioxidant capacity of citrus cultivars in Zhejiang: a phenolic profiling study for resource evaluation and differentiation

Xianju Feng, Wei Zhang, Mingxia Wen, Tianyu Wang et al.
Frontiers in Nutrition
Phytochemicals and Antioxidant Activities
article

Phytochemical diversity and antioxidant capacity of citrus cultivars in Zhejiang: a phenolic profiling study for resource evaluation and differentiation

Xianju Feng, Wei Zhang, Mingxia Wen, Tianyu Wang, Yi Li, Wei Li
article en

Abstract

To elucidate the under-characterized phytochemical diversity of regionally important citrus germplasm, this study performed a comparative analysis of phenolic profiles and antioxidant activities in seven cultivars from Zhejiang Province, including commercial, locally adapted and emerging varieties. Using UPLC-MS/MS, 17 flavonoids and 11 phenolic acids were quantified in peel and pulp tissues, revealing significant metabolite differentiation among varieties. The hybrid variety Gaocheng (pomelo × orange) displayed a distinct intermediate chemotype. It was characterized by the concurrent accumulation of naringin, and hesperidin. Notably, the peels of Ponkan, Bendizao, Gaocheng, and Miyagawa wase were identified as rich sources of bioactive PMFs. All peel extracts exhibited strong antioxidant activity, with Gaocheng showing the highest comprehensive antioxidant capacity. PCA and HCA revealed that phenolic composition was strongly associated with genetic background, classifying the varieties into three distinct groups. Collectively, these findings provide a foundation for the utilization of citrus by-products, cultivar authentication, and breeding strategies for enhanced bioactivity.

Frontiers in NutritionVol. 13
Citrus Research Institute (CN)
Ministry of Agriculture of the People's Republic of China, Science and Technology Plan Project of Taizhou
Openalex Percentile: Top 34%
Phytochemicals and Antioxidant Activities
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.