Recent advances of kinetic model in the separation of essential oils by microwave-assisted hydrodistillation

动能 热力学 化学 物理 量子力学
作者
Xiaojin Peng,Ning Liu,Mingxia Wang,Bing Liang,Chunte Feng,Renshuai Zhang,Xufu Wang,Xiaokun Hu,Huiyan Gu,Dongming Xing
出处
期刊:Industrial Crops and Products [Elsevier]
卷期号:187: 115418-115418 被引量:26
标识
DOI:10.1016/j.indcrop.2022.115418
摘要

To better design and optimize the separation process of plant essential oils obtained by microwave-assisted hydrodistillation, it is necessary to fully understand the kinetic mechanism and appropriate mathematical representation of the separation process. In this paper, the kinetic models, including first-order kinetic models, second-order kinetic models, two-site kinetic models, power-law models, Peleg models, and Elovich model, for the separation of essential oils by microwave-assisted hydrodistillation are introduced, and try to explain the kinetic behavior of this method for the separation of essential oils through the assumptions, parameters and application examples of the kinetic model. Meanwhile, the most suitable kinetic models were screened according to the kinetic mechanism of essential oils obtained by this method, although these kinetic models all showed a high coefficient of determination, only first- and second-order kinetic models can reproduce the kinetic mechanism of this method under specific conditions. In addition, the effects of microwave irradiation power, liquid-solid ratio, moisture content, and particle size on the kinetic model parameters are discussed and analyzed, then the extraction rate constants, equilibrium yields, and coefficients of determination in the kinetic models all change with these factors. Therefore, it is necessary to explore new kinetic models to more comprehensively understand the kinetic mechanism of the separation of essential oils by this method, which has guiding significance for the optimal design of essential oil separation methods and the utilization of high-value processing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
丘比特应助liuyu0209采纳,获得10
刚刚
不安青牛应助玛卡采纳,获得10
1秒前
2秒前
2秒前
3秒前
852应助科研通管家采纳,获得30
4秒前
4秒前
共享精神应助科研通管家采纳,获得10
4秒前
无花果应助科研通管家采纳,获得10
4秒前
无花果应助科研通管家采纳,获得10
4秒前
Orange应助科研通管家采纳,获得10
4秒前
爆米花应助科研通管家采纳,获得10
4秒前
JamesPei应助科研通管家采纳,获得10
4秒前
传奇3应助科研通管家采纳,获得10
4秒前
4秒前
思源应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
4秒前
量子星尘发布了新的文献求助10
5秒前
NexusExplorer应助舍我其谁采纳,获得10
5秒前
金金发布了新的文献求助10
5秒前
隐形曼青应助李昕123采纳,获得10
6秒前
蓬蓬发布了新的文献求助10
6秒前
7秒前
hexy629发布了新的文献求助10
8秒前
123456完成签到,获得积分10
8秒前
8秒前
Tomyyh发布了新的文献求助10
9秒前
123456发布了新的文献求助10
9秒前
12秒前
12秒前
kei发布了新的文献求助10
13秒前
高玉峰发布了新的文献求助10
13秒前
14秒前
天天发布了新的文献求助80
15秒前
15秒前
孙淳完成签到,获得积分10
16秒前
666关闭了666文献求助
16秒前
瑶瑶啊发布了新的文献求助10
17秒前
高分求助中
Theoretical Modelling of Unbonded Flexible Pipe Cross-Sections 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
Stop Talking About Wellbeing: A Pragmatic Approach to Teacher Workload 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5615265
求助须知:如何正确求助?哪些是违规求助? 4700145
关于积分的说明 14906831
捐赠科研通 4741546
什么是DOI,文献DOI怎么找? 2548008
邀请新用户注册赠送积分活动 1511727
关于科研通互助平台的介绍 1473781