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A new method for the prediction of pore size distribution and MWCO of ultrafiltration membranes

✍ Scribed by Jizhong Ren; Zhansheng Li; Fook-Sin Wong


Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
771 KB
Volume
279
Category
Article
ISSN
0376-7388

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✦ Synopsis


This paper describes the transport process, rejection curve and molecular weight cut-off (MWCO) of ultrafiltration membranes by using a log-normal distribution, Poiseuille flow and steric interaction between solute molecules and pores. The rejection coefficient of membranes was expressed with an analytical function of D
*/a (the ratio of geometric mean diameter to solute diameter) and Οƒ (geometric standard deviation). For ultrafiltration membranes with different MWCO, the pore size distribution can be divided into three zones by Οƒ: Zone I, long tail-effect of big pores (Οƒ

1.55); Zone II, linearization of pore size distribution parameters (D
*, Οƒ) (1.15≀
Οƒ
≀1.55); Zone III, sieving effect (1≀
Οƒ
<1.15). The relationship between D
*/D
MWCO (D
MWCO is the diameter of solute molecule at R
=0.9) and Οƒ was described by the Extreme model:

D
*

D

MWCO

=
A
 

e

(
βˆ’

e

(
βˆ’
z
)

βˆ’
z
+
1
)

,
 
z

Οƒ
βˆ’
1

w

 
(
Οƒ
∈
[
1
,
∞
]
)
,
 
A

1.296
,
 
w

0.299

For any rejection coefficient, the relationship between D
*/a and Οƒ can also be described using the Extreme model. A method to predict the pore size distribution and MWCO of ultrafiltration membranes by two points was first presented and verified by hollow fiber membranes spun at different shear rates. The shear rate in the spinning of hollow fiber membranes dominated the pore size distribution parameters (D
*, Οƒ), which played an important role in membrane performance. With an increase in shear rate, the geometric standard deviation (Οƒ) was strongly suppressed, which resulted in hollow fiber membranes with low MWCO.


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