110 Evaluation of the Determination Method of Mass Diffusion Coefficient Taken into Account of Concentration Dependency by Inverse Analysis

2008 ◽  
Vol 2008.43 (0) ◽  
pp. 21-22
Author(s):  
Junnosuke OKAJIMA ◽  
Atsuki KOMIYA ◽  
Shigenao MARUYAMA
Author(s):  
Atsuki Komiya ◽  
Juan F. Torres ◽  
Junnosuke Okajima ◽  
Shuichi Moriya ◽  
Shigenao Maruyama ◽  
...  

In this paper the concentration dependency of mass diffusion coefficients in binary system was investigated. We have developed a novel and accurate visualization system using a small area of transient diffusion fields by adopting a phase shifting technique. Through accurate visualization of the transient diffusion field, it is possible to determine the mass diffusion coefficient. Unlike a conventional interferometer, the proposed system provides high spatial resolution profiles of concentration even though the target area is less than 1.0 mm. This allows the measurement of local transient diffusion field with a high accuracy. The determination of mass diffusion coefficient of each component in multi-component system was also conducted. For the accurate and reliable measurement of mass diffusion coefficient, the experimental error should be taken into account. The experimental data usually contains unexpected accidental error and inherent errors of the measurement system. In this study, an optimization technique using conjugate gradient method is developed for the precise determination of the mass diffusion coefficients. The difference between the experimental and numerical concentration distribution is set as the objective function for the optimization method. The conjugate gradient method searches the optimal value by minimizing the objective function. For the concentration dependency evaluation, sodium chloride (NaCl) in pure water was selected as solute. For determination of each mass diffusion coefficient in multi-component system, NaCl and lysozyme in buffer solution was selected. The experiments were performed under isothermal conditions. The proposed measurement method was validated by comparing the measured data with those available in the literature. The results indicated that the concentration dependency was successfully investigated from the experimental data. The mass diffusion coefficient of each component also could be determined from the experimental data as evidenced by good agreement with the published data. The difference between the reference and determined value of mass diffusion coefficient was less than 10%. It can be said that the diffusion of each solute inside the cell progresses independently within the dilute concentration ranges and the superposition principle of concentration of NaCl and lysozyme was satisfied. The influence of concentration of solution on the diffusion process and allowable concentration range of the superposition principle are determined and discussed.


Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 260 ◽  
Author(s):  
Radosław Winiczenko ◽  
Krzysztof Górnicki ◽  
Agnieszka Kaleta

A precise determination of the mass diffusion coefficient and the mass Biot number is indispensable for deeper mass transfer analysis that can enable finding optimum conditions for conducting a considered process. The aim of the article is to estimate the mass diffusion coefficient and the mass Biot number by applying nondominated sorting genetic algorithm (NSGA) II genetic algorithms. The method is used in drying. The maximization of coefficient of correlation (R) and simultaneous minimization of mean absolute error (MAE) and root mean square error (RMSE) between the model and experimental data were taken into account. The Biot number and moisture diffusion coefficient can be determined using the following equations: Bi = 0.7647141 + 10.1689977s − 0.003400086T + 948.715758s2 + 0.000024316T2 − 0.12478256sT, D = 1.27547936∙10−7 − 2.3808∙10−5s − 5.08365633∙10−9T + 0.0030005179s2 + 4.266495∙10−11T2 + 8.33633∙10−7sT or Bi = 0.764714 + 10.1689091s − 0.003400089T + 948.715738s2 + 0.000024316T2 − 0.12478252sT, D = 1.27547948∙10−7 − 2.3806∙10−5s − 5.08365753∙10−9T + 0.0030005175s2 + 4.266493∙10−11T2 + 8.336334∙10−7sT. The results of statistical analysis for the Biot number and moisture diffusion coefficient equations were as follows: R = 0.9905672, MAE = 0.0406375, RMSE = 0.050252 and R = 0.9905611, MAE = 0.0406403 and RMSE = 0.050273, respectively.


Author(s):  
Atsuki Komiya ◽  
Shigenao Maruyama ◽  
Shuichi Moriya

This paper deals with a development of precise visualization system for mass diffusion field of micro quantity proteins by using phase shifting interferometer. The visualization system developed in this study could solve several measurement difficulties and accomplish quick and precise measurement of mass diffusion coefficient. For the observation of small transient diffusion field, Mach-Zehnder type phase shifting interferometer and small shearing cell were utilized. The designed small shearing cell requires only 10 micro liter solutions to form the transient diffusion field. As a target protein, lysozyme extracted from hen egg white was used. For the avoidance of protein denaturation, the lysozyme was dissolved in universal buffer solution over a wide pH range from pH 4.29 to 8.44. This range corresponds to that of digestive system in human body. Also, to investigate concentration dependency of mass diffusion coefficient, solutions over a wide range of concentration were prepared. The experimental results indicated that the concentration profile in a diffusion field could be detected clearly even though the field of view is smaller than 1.0mm square. The mass diffusion coefficient was derived by an analytical method proposed by authors. This method can derive mass diffusion coefficient as a function of concentration from one measurement datum. From the experimental data, the dependency of pH value of surrounding buffer and that of concentration on diffusion phenomena were discussed.


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