亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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
刚刚
ceeray23应助科研通管家采纳,获得10
4秒前
ceeray23应助科研通管家采纳,获得10
4秒前
ceeray23应助科研通管家采纳,获得10
4秒前
沉静语蓉完成签到,获得积分20
28秒前
194711发布了新的文献求助10
43秒前
CJH104完成签到 ,获得积分10
59秒前
h0jian09完成签到,获得积分10
1分钟前
9527完成签到,获得积分10
1分钟前
简宁完成签到,获得积分10
1分钟前
李爱国应助刻苦的溪流采纳,获得10
1分钟前
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
ceeray23应助科研通管家采纳,获得10
2分钟前
顾矜应助194711采纳,获得10
2分钟前
酷波er应助沉静语蓉采纳,获得10
3分钟前
量子星尘发布了新的文献求助10
3分钟前
芊予完成签到 ,获得积分10
3分钟前
忆茶戏完成签到 ,获得积分10
3分钟前
3分钟前
ceeray23应助科研通管家采纳,获得30
4分钟前
ceeray23应助科研通管家采纳,获得10
4分钟前
4分钟前
ajing完成签到,获得积分10
4分钟前
5分钟前
194711发布了新的文献求助10
5分钟前
ilihe应助飞天大南瓜采纳,获得10
5分钟前
灵感大王喵完成签到 ,获得积分10
5分钟前
5分钟前
科研通AI2S应助予秋采纳,获得10
5分钟前
5分钟前
斯文败类应助司徒恋风采纳,获得10
5分钟前
shun完成签到,获得积分10
6分钟前
6分钟前
6分钟前
小粒橙完成签到 ,获得积分10
6分钟前
充电宝应助xuan采纳,获得10
6分钟前
6分钟前
xuan发布了新的文献求助10
6分钟前
xuan完成签到,获得积分10
6分钟前
高分求助中
(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
Terminologia Embryologica 500
Silicon in Organic, Organometallic, and Polymer Chemistry 500
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 5617100
求助须知:如何正确求助?哪些是违规求助? 4701461
关于积分的说明 14913716
捐赠科研通 4749324
什么是DOI,文献DOI怎么找? 2549289
邀请新用户注册赠送积分活动 1512345
关于科研通互助平台的介绍 1474091