Kinetics and Thermodynamics of Ultrasound-Assisted Extraction of Taxanes from Taxus chinensis by Natural Deep Eutectic Solvents

IF 3.4 4区 工程技术 Q2 ENGINEERING, CHEMICAL
Processes Pub Date : 2025-12-17 DOI:10.3390/pr13124074
Ying Guo, Wenna Song, Lingyu Hu, R. P. Liu, Izni Atikah Abd Hamid, Jiaxin Quan
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引用次数: 2

Abstract

This study aimed to enhance the extraction efficiency and elucidate the mechanism of ultrasound-assisted extraction (UAE) of taxanes from Taxus chinensis by natural deep eutectic solvents (NADES). The processes of kinetics and thermodynamics were systematically investigated. These extractions adhered to a pseudo-second-order kinetic model (R2 > 0.972), with intraparticle diffusion identified as the dominant mechanism. Key parameters such as temperature, ultrasonic power, and solid/liquid ratio significantly improved the effective diffusion coefficient (De) and mass transfer coefficient (KT), reaching values of 6.21 × 10−9 m2/s and 4.14 × 10−3 m/s, respectively. A high Biot number (Bi > 59.21) confirmed that internal diffusion is the rate-determining step. Thermodynamic analysis indicated that the process is endothermic (ΔH > 0), irreversible (ΔS > 0), and spontaneous (ΔG < 0). These results elucidate the underlying mechanisms of UAE and establish a foundational framework for its industrial-scale implementation.
天然深共晶溶剂超声辅助提取红豆杉中紫杉烷的动力学和热力学研究
本研究旨在提高超声辅助提取红豆杉中紫杉烷的提取效率,并阐明天然深共晶溶剂(NADES)提取红豆杉烷的机理。系统地研究了其动力学和热力学过程。这些提取符合伪二级动力学模型(R2 > 0.972),颗粒内扩散是主要机理。温度、超声功率、料液比等关键参数显著提高了有效扩散系数De和传质系数KT,分别达到6.21 × 10−9 m2/s和4.14 × 10−3 m/s。高Biot值(Bi > 59.21)证实了内部扩散是速率决定步骤。热力学分析表明该过程为吸热(ΔH > 0)、不可逆(ΔS > 0)和自发(ΔG < 0)。这些结果阐明了阿联酋的潜在机制,并为其工业规模实施建立了基础框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Processes
Processes Chemical Engineering-Bioengineering
CiteScore
5.10
自引率
11.40%
发文量
2239
审稿时长
14.11 days
期刊介绍: Processes (ISSN 2227-9717) provides an advanced forum for process related research in chemistry, biology and allied engineering fields. The journal publishes regular research papers, communications, letters, short notes and reviews. Our aim is to encourage researchers to publish their experimental, theoretical and computational results in as much detail as necessary. There is no restriction on paper length or number of figures and tables.
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