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A novel approach and mechanistic insight into the co-extraction of essential oil and pectin from Citrus aurantium L. var. amara Engl. based on machine learning and DFT calculations

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成果类型:
期刊论文
作者:
Zhou, Peng;Li, Xiangzhou;Lu, Ying;Jiang, Zhi;Shen, Liqun
通讯作者:
Li, XZ
作者机构:
[Lu, Ying; Li, Xiangzhou; Zhou, Peng; Li, XZ] Cent South Univ Forestry & Technol, Coll Mat Sci & Engn, Changsha 410004, Hunan, Peoples R China.
[Jiang, Zhi] Hunan Prima Drug Res Ctr Co Ltd, Hunan Key Lab Pharmacodynam & Safety Evaluat New D, Changsha 410329, Hunan, Peoples R China.
[Shen, Liqun] Guangxi Minzu Univ, Guangxi Collaborat Innovat Ctr Chem & Engn Forest, Key Lab Chem & Engn Forest Prod,State Ethn Affairs, Guangxi Key Lab Chem & Engn Forest Prod, Nanning 530006, Guangxi, Peoples R China.
通讯机构:
[Li, XZ ] C
Cent South Univ Forestry & Technol, Coll Mat Sci & Engn, Changsha 410004, Hunan, Peoples R China.
语种:
英文
关键词:
Citrus aurantium L. var. amara Engl.;Pectin;Essential oil;Machine learning
期刊:
Sustainable Chemistry and Pharmacy
ISSN:
2352-5541
年:
2024
卷:
39
页码:
101570
基金类别:
National Key Research and Development Program of China [2022YFD2200605]; China Guangxi Key Laboratory of Chemistry and Engineering of Forest Products [GXFK2302]; Postgraduate Scientific Research Innovation Project of Hunan Province [CX20230737]
机构署名:
本校为第一且通讯机构
院系归属:
材料科学与工程学院
摘要:
A green and efficient approach for the co-extraction of essential oil and pectin from Citrus aurantium L. var. amara Engl. was achieved by combining deep eutectic solvents (DES) with steam distillation. The optimal technological parameters were precisely identified through single-factor, response surface, and machine learning, with the DES concentration of 11.2%, the liquid-solid ratio of 10.6 mL/g, and the distillation time of 56.0 min. Under these conditions, the essential oil yield was 1.33 +/- 0.07%, and pectin yield was 14.50 +/- 0.58%. This process significantly increased the essential o...

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