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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Lonicerae japonicae Flos (LJF) is a natural plant containing abundant antioxidant ingredients. In order to extract more antioxidants from LJF, in this study, a novel strategy was proposed for optimizing the extraction factor level by response surface methodology with a tailored deep eutectic solvent (DES) as the extraction solvent and antioxidant ability as the evaluation index. After optimizing the composition of DES and the extraction condition, the extracts obtained by our proposed method yielded better antioxidant ability (229.1–249.1 μmol TE/g DW) and higher antioxidant contents (34.2–36.5 mg GAE/g DW for total phenolics and 119.6–123.0 mg RE/g DW for total flavonoids) from LJF in 5 min without organic solvent consumption that were significantly superior to the Chinese Pharmacopoeia extraction method. The K-T solvation parameter and a scanning electron microscope were adopted to explore the extraction mechanism, and the results showed that the polarity and damage effect on plant cells of DES were crucial for the extraction of antioxidants. In addition, after combining the HPLC fingerprint and partial least squares model, chlorogenic acid, rutin, and 3,5-O-Dicaffeoylquinic acid were screened as the antioxidant Q-markers of LJF. This work demonstrates that an optimization strategy based on antioxidant ability and tailored DES has the potential to extract more antioxidants from natural plants.

Details

Title
Enhanced Antioxidant Extraction from Lonicerae japonicae Flos Based on a Novel Optimization Strategy with Tailored Deep Eutectic Solvents
Author
Wen-Wen, Deng 1 ; Sun, Bo 2   VIAFID ORCID Logo  ; Yang, Han 2 ; Xiao-Jie Hou 2 ; Yong-Jian, Zhang 2 ; Tian-Xiang Gan 2 ; Xin-Yi, Cheng 2 ; Ao Yuan 2 ; Xiao-Yang, Dong 2 ; Cong-Yu, Zhou 2 ; Deng, Ying 2 ; Ya-Qian, Xiao 2 ; Ghiladi, Reza 3   VIAFID ORCID Logo  ; Li, Hui 4 ; Wang, Jun 2 

 Autism & Depression Diagnosis and Intervention Institute, Bioengineering and Food College, Hubei University of Technology, Wuhan 430068, China; [email protected] (W.-W.D.); [email protected] (B.S.); [email protected] (H.Y.); [email protected] (X.-J.H.); [email protected] (Y.-J.Z.); [email protected] (T.-X.G.); [email protected] (X.-Y.C.); [email protected] (A.Y.); [email protected] (X.-Y.D.); [email protected] (C.-Y.Z.); [email protected] (Y.D.); [email protected] (Y.-Q.X.); Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang 330115, China; Jiangxi Health Industry Institute of Traditional Chinese Medicine, Nanchang 330115, China 
 Autism & Depression Diagnosis and Intervention Institute, Bioengineering and Food College, Hubei University of Technology, Wuhan 430068, China; [email protected] (W.-W.D.); [email protected] (B.S.); [email protected] (H.Y.); [email protected] (X.-J.H.); [email protected] (Y.-J.Z.); [email protected] (T.-X.G.); [email protected] (X.-Y.C.); [email protected] (A.Y.); [email protected] (X.-Y.D.); [email protected] (C.-Y.Z.); [email protected] (Y.D.); [email protected] (Y.-Q.X.) 
 Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA; [email protected] 
 Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang 330115, China; Jiangxi Health Industry Institute of Traditional Chinese Medicine, Nanchang 330115, China 
First page
189
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
22978739
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3072687381
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.