Response to Dr. Nandi's comments on “Mathematical Model for Predicting the Dissolution Behaviors of Hemicelluloses During Cold Caustic Extraction Process”

AIChE Journal ◽  
2019 ◽  
Vol 65 (10) ◽  
Author(s):  
Liang He
AIChE Journal ◽  
2018 ◽  
Vol 65 (1) ◽  
pp. 13-17 ◽  
Author(s):  
Qing-Qing Guan ◽  
Hua-Jing Zhou ◽  
Lin-Cai Peng ◽  
Ke-Li Chen ◽  
Liang He ◽  
...  

2017 ◽  
Vol 234 ◽  
pp. 61-66 ◽  
Author(s):  
Jianguo Li ◽  
Huichao Hu ◽  
Hailong Li ◽  
Liulian Huang ◽  
Lihui Chen ◽  
...  

Author(s):  
Nik ‘Amirah Farhana Nik Ahmad Lutfi ◽  
Mohd Farid Atan ◽  
Nazeri Abdul Rahman ◽  
Shanti Faridah Salleh ◽  
Noraziah Abdul Wahab

The main objective of this study is to improve the mathematical modelling of Cymbopogon winterianus essential oil extraction by steam distillation proposed by Cassel and Vargas by minimum 5% error reduction. Two process variable of steam distillation which are extraction time and raw material state (dry or natural) has been optimized by using factorial experimental planning to obtain high yields of citronella essential oil from twig and leaves of lemongrass species Cymbopogon winterianus (C.winterianus). The optimal condition for maximum yield (0.942%) were found to be an extraction time, 4 hr, state, natural plant. The study of Cassel and Vargas was subsequently continued with five proposed kinetics model of the extraction process. The modelling of the extraction process is optimized by using one adjustable parameter of the model and the adequacy of the fit of the models to the experimental data are analyzed by using three statistical criteria that are correlation coefficient (r) ,the root mean square error (RMSE) and the mean relative deviation modulus (E). The result has shown that the mathematical model developed by Ana based on mass transfer fundamentals is the optimum mathematical model for the extraction of Cymbopogon winterianus essential oil by steam distillation.


2010 ◽  
Vol 4 (2) ◽  
pp. 163-166
Author(s):  
Vasil Dyachok ◽  

In this study the mathematical model of the extraction process from plant material is developed, taking into account the anatomical structure of plant material, namely the presence of cellular and intercellular spaces. The solution of the model enables to determine its kinetic coefficients Dc, Dt, process conditions, and predict the kinetics of the extraction process implementation in practice.


2017 ◽  
Vol 178 ◽  
pp. 412-417 ◽  
Author(s):  
Liang He ◽  
Qing-Qing Guan ◽  
Lin-Cai Peng ◽  
Ke-Li Chen ◽  
Xin-Sheng Chai

2011 ◽  
Vol 236-238 ◽  
pp. 917-921
Author(s):  
Du Shu Huang ◽  
Zhao Long Huang ◽  
Rui Min Xiao ◽  
Zi Jing Li ◽  
Yan Jiang ◽  
...  

This paper deals with the extraction of L-theanine containing Aliquat 336 and Di(2-ethylhexyl)phosphate(P204) as combined carriers and cyclohexane as solvent across bulk liquid membrane. A mathematical model of transport process was deduced, the forward and the backward interfacial reaction rate constants between the feed phase, the receiving phase and the membrane phase were taken into account. Using the experimental results, several parameters of the proposed model have been achieved by a nonlinear fitting method. It is a simply mathematical model which can be easily used to predict the concentration of the extraction process.


2017 ◽  
Vol 68 (10) ◽  
pp. 2293-2306
Author(s):  
Daniel Dumitru Dinculescu ◽  
Cristiana Luminita Gijiu ◽  
Vasile Lavric

A reactive extraction/back-extraction process was studied experimentally in a two-stage column. The mathematical model of the reactive extraction using a closed loop moving organic liquid membrane, based upon first principle equations, was derived as a set of Partial/Ordinary Differential Algebraic Equations (P/ODAE). The mathematical model, reduced through orthogonal collocation to a system of ODAE, was solved using a self-adaptive Runge-Kutta (RK)-type method. The mathematical model was calibrated using own batch experimental data and a modified genetic algorithm as optimizer.


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