<i>Artemisia selengensis</i> Leaves, a Vegetable Waste: LC‐MS‐Based Chemical Profiling, Ultrasound‐Assisted DES Extraction, and Xanthine Oxidase Inhibitory Activity

ABSTRACT Artemisia selengensis is a medicinal and edible plant, whose tender stems are widely consumed as a folk vegetable in China. However, due to their bitterness, Artemisia selengensis leaves (ASL) are often discarded as a waste material, resulting in resource wastage. This study aimed to characterize ASL's chemical composition, develop a “green” extraction method, and explore its potential bioactivity. Using LC‐MS, 72 compounds were identified. To extract 7 representative caffeoylquinic acids (CQAs), the mixture of choline chloride and ethylene glycol (1:6) was selected as the optimal deep eutectic solvent (DES), and the extraction parameters were optimized as follows: extraction time of 21 min, temperature of 44°C and ultrasonic power of 420 W. Based on molecular docking analysis, both 3,5‐diCQA and 1,5‐diCQA exhibited strong binding affinity to xanthine oxidase (XO), consistent with their potent XO inhibitory effects (IC 50 = 3.69 and 3.35 nmol/mL, respectively). In addition, a greater XO inhibition was observed for the DES extract (IC 50 = 6.05 μg/mL) compared with the methanol extract (IC 50 = 22.5 μg/mL). This study not only helps to reduce ASL disposal's environmental load and boost its agricultural value, but also sets a green model for similar vegetable waste to aid circular agriculture.

Authors

Institutions

Publication Details

Journal
eFood
Published
2026-01-05
DOI
https://doi.org/10.1002/efd2.70120
Primary Topic
Nuts composition and effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artemisia selengensis Leaves, a Vegetable Waste: LC‐MS‐Based Chemical Profiling, Ultrasound‐Assisted DES Extraction, and Xanthine Oxidase Inhibitory Activity

L. Zhang, Lei Li, Sheng Yu, Rongli Qiu et al.
eFood
Nuts composition and effects
article

Artemisia selengensis Leaves, a Vegetable Waste: LC‐MS‐Based Chemical Profiling, Ultrasound‐Assisted DES Extraction, and Xanthine Oxidase Inhibitory Activity

L. Zhang, Lei Li, Sheng Yu, Rongli Qiu, Mingqiu Shan, Xinli Liang, Facheng Zhang, Ting Geng, Baoxiang Wu
article en

Abstract

ABSTRACT Artemisia selengensis is a medicinal and edible plant, whose tender stems are widely consumed as a folk vegetable in China. However, due to their bitterness, Artemisia selengensis leaves (ASL) are often discarded as a waste material, resulting in resource wastage. This study aimed to characterize ASL's chemical composition, develop a “green” extraction method, and explore its potential bioactivity. Using LC‐MS, 72 compounds were identified. To extract 7 representative caffeoylquinic acids (CQAs), the mixture of choline chloride and ethylene glycol (1:6) was selected as the optimal deep eutectic solvent (DES), and the extraction parameters were optimized as follows: extraction time of 21 min, temperature of 44°C and ultrasonic power of 420 W. Based on molecular docking analysis, both 3,5‐diCQA and 1,5‐diCQA exhibited strong binding affinity to xanthine oxidase (XO), consistent with their potent XO inhibitory effects (IC 50 = 3.69 and 3.35 nmol/mL, respectively). In addition, a greater XO inhibition was observed for the DES extract (IC 50 = 6.05 μg/mL) compared with the methanol extract (IC 50 = 22.5 μg/mL). This study not only helps to reduce ASL disposal's environmental load and boost its agricultural value, but also sets a green model for similar vegetable waste to aid circular agriculture.

eFoodVol. 7(1)
Jiangxi University of Traditional Chinese Medicine (CN), Nanjing University of Chinese Medicine (CN), China Design Group (China) (CN), Taizhou University (CN)
Openalex Percentile: Top 95%
Nuts composition and effects
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.