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A general approach for predicting the filtration of soft and permeable colloids: the Milk example
Antoine Bouchoux, Peng Qu, Patrice Bacchin, Geneviève Gésan-Guiziou
To cite this version:
Antoine Bouchoux, Peng Qu, Patrice Bacchin, Geneviève Gésan-Guiziou. A general approach for predicting the filtration of soft and permeable colloids: the Milk example. Euromembrane 2015, Sep 2015, Aachen, Germany. 2015. �hal-01209883�
A general approach for predicting
the filtration of soft and permeable colloids : the Milk example
A. Bouchoux, P. Qu, P. Bacchin, G. Gésan-Guiziou
Euromembrane Aachen– 6-10 sept. 2015 1 FRANCE
Rennes
Toulouse
Science and Technology of milk and eggs
- Filtration in the dairy sector
•Operations largely used: ≈ 40% of the membrane area installed in food sector Concentration of milk components Cheese manufacture, stadardization, … Fractionation of milk components Ingredients with high added value
Operations not well mastered & Performance impossible to predict
•Variability of production duration and quality of produced fractions
•Difficulties of cleaning
High consumption of water(2-6 m3of water / 100 m2of membranes / cleaning operations)
detergents and energy...
2
Context
- Micro- and Ultra- filtration (crossflow) of skimmed milk
Context
•casein micelles = main contributor to accumulation at the membrane surface
Casein micelle (colloid)
• Casein micelle = soft and porous « natural » colloid
High concentration of colloids
[Gésan-Guiziou et al., JMS, 1999;
Jimenez-Lopez et al, SPT, 2008]
~80% of milk proteins, C ≈ 25 g/L
caseins : as1, as2, b, k (3:1:3:1) minerals : phosphate and calcium Composition :
Colloidal object (≈ sphere) :
large size distribution ~50-250nm, average diameter ≈ 100nm highly hydrated (3.7g of water / g protein)
Structure :
core web of caseins + calcium phosphate nanoclusters surfacek-casein, highly charged
The internal structure is not totally elucitated…
?
k-casein
[Walstra, Int. Dairy. J., 1999 ] [de Kruif et al., Adv. Colloid Interface Sci., 2012 ]
[Bouchoux et al., Biophys.J., 2010]
• To propose a methodology for building a model that is able to predict the performance of the filtration (J, concentration gradient) of soft and permeable colloids
… by taking into account the approaches previously developped for non deformable and non permeable colloids (like hard spheres)
Objective
Note :
- dead-end filtration case only
- native « casein micelles » as model experimental system
Filtration modeling for colloids
5
- Theory
dx d dx
dP
J permeation flux P pressure k(f)permeability
RPLresistance of the polarized layer
osmotic pressure f volume fraction
dynamic viscosity of the solvent
Compression and permeation in a deposit/gel
dx dP R
dx d k dx
d J R
PL PL
PL
1 1
dx k d
dx k dP
J gel gel
[Bacchin, Gordon Research Conference Membranes,2006]
[Bowen et Jenner, Chem. Engng.Sci., 1995]
[Bacchin et al., J.Membrane Sci., 2006]
[Elimelech et Bhattacharjee, J.Membrane Sci., 1998]
Case of dead-end filtration
Diffusion and convection
in polarized layer
crit
P
Filtration modeling for colloids
Two parameters for the filtration modelling for colloids
(C/f): Colloidal osmotic pressure (colloidal interactions) k (C/f): Hydraulic permeability (size, form, concentration)
6
- Theory
dx d
J k( ) (f)
f
A single equation to describe concentration polarisation and deposit layers
J permeation flux P pressure kpermeability
osmotic pressure Cconcentration
crit
P
Happel
3 / 5
2 3
/ 5 3
/ 2 1
2 3
3 5
. 4 5
. 4 3 9 2
f
f f
f
f
p
happel
k r
Carnahan-Starling
3
3 2
1 1
f f f f
nkT
Permeability Osmotic Pressure
Filtration modeling for colloids
7
- Theory: non-interacting hard spheres
DP
dx d
J k( ) (f)
f
[Bacchin et al., Desalination, 2006]
crit
Filtration modeling for colloids
8
Deposit
- Theory: charged hard spheres
Happel
3 / 5
2 3
/ 5 3
/ 2 1
2 3
3 5
. 4 5
. 4 3 9 2
f
f f
f
f
p
happel
k r
Permeability Osmotic Pressure
dx d
J k( ) (f)
f
Filtration modeling for colloids
- Theory: deformable and porous colloid (casein micelles)
9
[Bouchoux et al., Biophys. J., 2009]
[Bouchoux et al., Biophys. J., 2009]
dp=100nm Happel
3 / 5
2 3
/ 5 3
/ 2 1
2 3
3 5
. 4 5
. 4 3 9 2
f
f f
f
f
p
happel
k r
Prediction
Experiment
Permeability Osmotic Pressure
How to determine k for concentrated layers of casein micelles ?
dx d
J k( ) (f)
f
: osmostic stress/ membrane osmometer
Permeability
Filtration modeling -
10
[Bouchoux et al., Biophys. J., 2009]
[Bouchoux et al., Biophys. J., 2009]
Determination of k
Dead-end filtration of native casein micelles, C 1g/L
dx d
J k( ) (f)
f
Strategy 1: Reverse-calculation approach [Bowen et Williams, J. Membrane Sci., 2001]
Filtration modeling -
11
e C
J k slice D
) (
0 bag
cas cas
bag bag
A M A
e V
Determination of k
Strategy 2: osmotic compression approach
ethickness of the slice
Mcas
12
The different approaches for the determination of k are coherent Experimental values of k are distributed over one single curve Results: permeability
Filtration modeling - Determination of k
13
Before close-packing: k micelles < khappel (hard spheres)
Polydispersity in size : unlikely [Li et Park, Ind. Eng. Chem. Res., 1998]
Impureties, degradation ?
3 / 5
2 3 / 5 3
/ 2 1
2 3
3 5
. 4 5
. 4 3 9 2
f
f f
f
f
p
happel
k r
dp=100nm
Results: permeability
dp=100 nm
Filtration modeling - Determination of k
14
After close-packing: k internal organisation of casein micelle
Casein micelle interior = collection of non
connected hard spheres dp=8.8nm
3 / 5
2 3 / 5 3
/ 2 1
2 3
3 5
. 4 5
. 4 3 9 2
f
f f
f
f
p
happel
k r
Results: permeability
dp=100 nm
dp=8.8 nm
Filtration modeling - Determination of k
[Bouchoux et al., Biophys.J., 2010]
15
[Bouchoux et al., Biophys. J., 2009][Bouchoux et al., Biophys. J., 2009]
Results: modelling
Prediction is possible dx
C d
C
J k( ) ( )
Filtration modeling - Development of the model
Filtration modeling -
16
[David et al.,Langmuir, 2008]
SAXS
X Rays
Pression X rays
Model validation
Pressure
Filtration modeling -
17
[David et al.,Langmuir, 2008]
SAXS
The results are satisfying
Model validation
18
Conclusion
• Proposal of a generic methodology for building a model able to predict the performance (J, C) of the filtration of soft and permeable colloids (casein micelles)
• Methodology based on
- models developped for the filtration of hard spheres
- experimental determinations of the colloidal osmotic pressure (C) and permeability k(C)
Model ((C), k(C))
Dead-end crossflow?
Perspectives
Thank you for your attention ! Acknowledgments
PhD Thesis P. Qu Région Bretagne & INRA