Optimal extraction of <i>Chenopodium formosanum</i> leaves using the response surface method

Chenopodium formosanum (CF) is a species endemic to Taiwan that is rich in both nutrients and antioxidants. Although the seeds of CF have long been considered valuable sources of antioxidants, no studies have yet examined the levels of antioxidant in CF leaves or these leaves’ optimal extraction methods. In this study, Response Surface Methodology (RSM) was applied to determine the optimal conditions for promoting total phenolic content (TPC), total flavonoid content (TFC), di(phenyl)-(2,4,6-trinitrophenyl)iminoazanium (DPPH) radical scavenging, 2,2’-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS) radical scavenging, and ferric reducing ability of plasma (FRAP). Results showed that the concentration of ethanol had a major effect on TPC, DPPH radical scavenging, ABTS radical scavenging, and FRAP, whereas temperature had a major effect on TFC. The final optimized results for 100 mL ethanol solution to extract 1 g CF leaves determined using RSM were 141.26 µg gallic acid equivalents/mL for TPC, 158.09 µg quercetin equivalents/mL for TFC, 92.85% for DPPH radical scavenging, 50.49% for ABTS radical scavenging, and 26.85 µg vitamin C equivalents/mL for FRAP. RSM employed in this study revealed that CF leaves, similar to CF seeds, are a potent source of antioxidants.

Authors

Institutions

Publication Details

Journal
Cogent Food & Agriculture
Published
2024-12-10
DOI
https://doi.org/10.1080/23311932.2024.2436643
Primary Topic
Botanical Research and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Optimal extraction of Chenopodium formosanum leaves using the response surface method

Chin-Tung Wu, Yung‐Sheng Lin, Shiou-Yih Hu, Wei-Hsun Wang et al.
Cogent Food & Agriculture
Botanical Research and Applications
article

Optimal extraction of Chenopodium formosanum leaves using the response surface method

Chin-Tung Wu, Yung‐Sheng Lin, Shiou-Yih Hu, Wei-Hsun Wang, Cheng-You Chen
article en

Abstract

Chenopodium formosanum (CF) is a species endemic to Taiwan that is rich in both nutrients and antioxidants. Although the seeds of CF have long been considered valuable sources of antioxidants, no studies have yet examined the levels of antioxidant in CF leaves or these leaves’ optimal extraction methods. In this study, Response Surface Methodology (RSM) was applied to determine the optimal conditions for promoting total phenolic content (TPC), total flavonoid content (TFC), di(phenyl)-(2,4,6-trinitrophenyl)iminoazanium (DPPH) radical scavenging, 2,2’-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS) radical scavenging, and ferric reducing ability of plasma (FRAP). Results showed that the concentration of ethanol had a major effect on TPC, DPPH radical scavenging, ABTS radical scavenging, and FRAP, whereas temperature had a major effect on TFC. The final optimized results for 100 mL ethanol solution to extract 1 g CF leaves determined using RSM were 141.26 µg gallic acid equivalents/mL for TPC, 158.09 µg quercetin equivalents/mL for TFC, 92.85% for DPPH radical scavenging, 50.49% for ABTS radical scavenging, and 26.85 µg vitamin C equivalents/mL for FRAP. RSM employed in this study revealed that CF leaves, similar to CF seeds, are a potent source of antioxidants.

Cogent Food & AgricultureVol. 10(1)
National United University (TW), Chaoyang University of Technology (TW), National Chung Hsing University (TW), Changhua Christian Hospital (TW), National Yunlin University of Science and Technology (TW)
Ministry of Science and Technology, Taiwan
Zero hunger
Openalex Percentile: Top 73%
Botanical Research and Applications
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.