Development of the Process for Producing Pre-reduced Agglomerates
Disintegration of agglomerates in liquid...(Forny, Marabi et al. 2011) (Fang, Selomulya et al. 2007)...
Transcript of Disintegration of agglomerates in liquid...(Forny, Marabi et al. 2011) (Fang, Selomulya et al. 2007)...
1
Disintegration of agglomerates in liquid
Gabrie M.H. MeestersErik M. Bosma, Merel OostveenJ. Ruud van OmmenSheila Khodadadi
2
Introduction
Instant powders
Wetting behaviour
Dispersing behaviour
AIM: • Good instant properties• Rapid and complete reconstitution• No lump formation
Reducing the reconstitution time• Understanding the rehydration behaviour• What is the rate limiting step
3
Powder rehydration
(Forny, Marabi et al. 2011)
(Fang, Selomulya et al. 2007)
4
Wetting of powders
5
Experimental
• Prepare powder beds by sieving & pressing
• Determine the bulk density
• Place droplet on powder bed
• Record time required to sink in
Drop penetration time method
6
Results
• Current model assumes Drawing Area (DA) = Penetration Area (PA)
• Experiments show widening by factor 1.5
Model adaption – penetration area
DA
PA
DA
PA
Original model Adapted model I
Adaption I decreases difference theory / experiments by factor 2.3 (Kozeny Carman)
7
Micro Computed Tomography
Potato starch ɛ=075
8
Results
• Current model estimates pore size ~ 10-7 m
• Experimental pore size (micro CT) ~ 10-6 m
Model adaption – pore size
Original model Adapted model II
Adaption II decreases difference theory / experiments by factor 4.2 (Washburn)
9
Results
• Corresponds well to model predictions
• Instant starch behaviour dominated by maltodextrin
(Maltodextrine & Instant starch)
Drop penetration time [s]
Weights [#] Corn starch Maltodextrin Instant starch
1 2.0 0.14 0.14
3 1.5 0.11 0.13
12 2.3 0.09 0.10
10
Disintegration of powders
11
Disintegration
Rehydration of formulated potato starch
12
Disintegration
Rehydration of formulated potato starch
Static version
13
Disintegration
Disintegration
“The dissolution of the solid bridges between the primary particles followed by dispersion of the primary particles within the
liquid volume”(Richard, Toubal et al. 2012)
A B C D
14
Modelling the data
Various researchers have modelled dispersion as a first order process existing of either a single or multiple exponential terms 1
𝑦 = 𝐴 1 − exp −𝑘𝐴 ∗ 𝑡 + 𝐵 1 − exp −𝑘𝐵 ∗ 𝑡
These researchers measured a property which is linked to disintegration, like the change in:• Viscosity• Conductivity• Light back scattering
1 To, Mitchell, Hill, Bardon and Matthews - 1994
Kravtchenko, Renoir, Parker, Brigand – 1999
Larsen, Gåserød and Smidsrød – 2003
Galet, Vu, Oulahna and Fages - 2004
15
Questions to answer
• How can we quantify the disintegration time?
• Can the existing models be used for consumer product?
• What dependency exist for the rate constant?
16
Experimental setup
Two measurements methods are used during this project to describe disintegration
• Laser light diffraction• Measure the particle size distribution and follow this over time• Changes in the D90 reflect how the particles get smaller• Applicable to powders with good wetting properties
• Spectrophotometer• Measure the change in optical density over time• Other reconstitution effects are also measured
17
Laser diffraction Introduction
• Reservoir is filled with water
• Powder is added to the top
• Powder is pumped around to the laser
• The laser light is scattered by the particles
• A particle size distribution (PSD) is sought that best fits the scatter pattern
18
Laser diffractionPSD
A PSD is obtained over time, giving insight how the distribution is affected
19
Laser diffractionPSD
A PSD is obtained over time, giving insight how the distribution is affected
Static version
20
Laser diffractionD90
Following the D90 over time gives us insight into how fast a particle disintegrates
0
100
200
300
400
500
600
700
800
0 50 100 150 200 250 300
D9
0 [
µm
]
Time [sec]
Formulated Potato Starch
D90
21
Laser diffractionResults
A higher temperature will lead to a higher rate constant and thereby also a faster disintegration time
0.00
0.04
0.08
0.12
0.16
0.20
0 5 10 15 20 25 30 35
Init
ial r
ate
co
nst
ant
[1/s
]
Temperature [°C]
Formulated potato starch
0.00
10.00
20.00
30.00
40.00
50.00
0 5 10 15 20 25 30 35
Dis
inte
grat
ion
tim
e [
1/s
]
Temperature [°C]
Formulated potato starch
22
Photo-spectrometryObscuration
• Powder and a magnetic stirrer are added to a cuvet
• Water is added from the top
• Light is passed through the sample
• As the particles disintegrate they block more light
• If soluble components are present they disappear over time, letting more light pass
23
Spectrophotometry
24
SpectrophotometryIntroduction
0.0
0.2
0.4
0.6
0.8
1.0
1.2
0 20 40 60
Ab
sorb
ance
un
it [
-]
Time [sec]
Milk powder
• Peaks at the beginning are caused by the initial addition of the powder
• Disintegration follows a exponential function
• Variations in the final value are caused by different concentrations
25
SpectrophotometryChanging temperature
0
25
50
75
100
125
150
0 20 40 60 80
Tim
e [
sec]
Temperature [°C]
Disintegration time
Cocoa powder - Nesquik
Cocoa powder - Benco
Coffee creamer
0.01
0.10
1.00
0 20 40 60 80
Tim
e [
sec]
Temperature [°C]
Rate constant
Cocoa powder - Nesquik
Cocoa powder - Benco
Milk powder
Same behaviour is observed as for laser diffraction
26
The questions
• How can we quantify the disintegration time? Laser diffraction and photo-spectrometry seem to work
• Can the existing models be used for consumer product? Literature models that described dispersion/dissolution rate
can also be applied to describe the disintegration of different powders. TO BE PROVEN YET
• What dependency exist for the rate constant? Temperature effect on both measurement methods are in
agreement with each other and with literature 1
1 Larsen, Gåserød and Smidsrød – 2003
27
Issues
• Difficult to study disintegration on its own, e.g. when wetting is already critical
• Determination of time constants for the four stages will tell us where to opimise our formulations
• Model description of disintegration still to be proven
• Sinkability also difficult to determine. Will be dealt with in next research