Characterization of complex fluids using small angles ... ICSM 2009-2010... · with an average aver...
Transcript of Characterization of complex fluids using small angles ... ICSM 2009-2010... · with an average aver...
OutlineBrief and classical introduction to scatteringmethods
•Form and Structure factors•Examples for contrast variation or dilution •Example with an oriented mesoporous AlO3 structure(K. Lagrené thesis)
references
rdreeR
ERdE rqiRkiS
srrr rrrr
)(1
4
1)( .).(
0 ρπ
−−=
0
dV
r
ρ(r)
θ
R
Fundamental equation of the instantaneous scattering amplitude
Hyp: far field detection, weak scattering
ii brr )()(rr
∑= ρρ ρρρ −=∆
∫−− ∆=
V
rqiRkiS rdere
RERE i
rrr rrrr.).(
0 )(1
4
1)( ρ
π
=−=2
sin4
q and θ
λπ
is kkqrrr
rdreeR
ERdE rqiRkiS
srrr rrrr
)(1
4
1)( .).(
0 ρπ
−−=
0
dV
r
ρ(r,t)
θ
R
fundamental equation of the instantaneous scattering amplitude
∫−− ∆=
V
rqiRkiS rdere
RERE i
rrr rrrr.).(
0 )(1
4
1)( ρ
π
For an assembly of discreteparticles
[ ] rdrrRrrdr j
N
jjj
rrrr)()()(
1
ρδρ ∆+−=∆ ∑=
j
j
j Rqi
qG
jrqi
j
Vj
N
jS erderqE
rrrr
444 3444 21
rrr .
)(
).(
1
])([)( ρ∆∝ ∫∑=
drjrj
Rj+1Rj
Scattering intensity Is(qq)
∑∑−−==
j k
RRqikjS
kjeqGqGEEqI).(** )()(.)(
rrrrrr
j
j
j Rqi
qG
jrqi
j
Vj
N
jS erderqE
rrrr
444 3444 21
rrr .
)(
).(
1
])([)( ρ∆∝ ∫∑=
part
partSkj
js
VG
qasG
qGqP
qPVG
qGG
V
NqGNqGqI
.)0( and
0 1)0(
)()(factor Form
)(...)0(
)()0()()()(
2
2
22
2222
ρ
ρ
∆=
→→=
∆Φ====∑=
r
rrrr
For diluted system (uncorrelated scatterers and identical)
cmcm
eb
eT
122
0
10.28.04
−==πε 3cm/cmin Th
molecularrayX b
V
Z=−ρ
FEDORS table, polymer engineering, 14 (2), 1974, 147-154
A density of scattering length
Left: Nuclear scattering length for thermal neutrons, b in 10−13 cm, versus the MA (in dotted line the variation for X-rays, linear in Z)Right: coherent and incoherent neutron scattering cross-sections(en barns=10-28 m2) for some elements and isotopes. Large area of the circle means large the cross-section.
The scattering intensity is the FT of pair-correlation function p(R)
dRqR
qRRR
RdeR
RqI
RrdRrrR
Rqi
S
V j
)sin()(~4
nsorientatio allaver averagean with
)(~)(~ of ansformFourier tr)( and
)()()()(~
functionon distributidistancepair p(R)
22
0
.2
2
2
43421
rr
rr
rrrrvr
rr
=
∞
−
∆∝
∆
∆∝
=−∆∆=∆
∫
∫
∫
ρπ
ρ
ρ
γρρρ
j
k
Rik=50
R50 100
p(R)
∑∑−−==
j k
RRqikjS
kjeqGqGEEqI).(** )()(.)(
rrrrrr
R50 100
p(R)
ρ(R)
Pair distributionexperiment
FT
Collimation effectRadiation smearingStatistical errorQmax/Qmin
Real space vs reciprocal space
Structure factorFor concentred system (identical scatterers) and centrosymmetric
[ ] ∞→→−=−
∆Φ=+=
∫∞
qasdRqR
qRRRg
V
NqS
qSqPVqIV
NqG
V
NqI
S
partSS
s
0sin
1)(41)(factor structure
)()(...)()()(
2
0
2'2
π
ρr
If g(R) is the probability of finding the centre of any particle at a distance R from the centre of a given particle then for N particles in a volume V , (N/V )g(R)dV is the numberof particles in volume element dV at a distance R from a given particle.
TF
For concentred system (identical scatterers) and centrosymmetric
[ ] ∞→→−+=
∆Φ=+=
∫∞
qasdRqR
qRRRg
V
NqS
qSqPVqIV
NqG
V
NqI
S
partSS
s
1sin
1)(41)(factor structure
)()(...)()()(
2
0
2'2
π
ρr
Structure factor
Structure factorSeveral approximation:Ex: Monodisperse approximation: the interaction potential between particles are spherical symmetric and independent of the particle size that allows to reallydecompose in product of FF and SF
The calculation of S(q) is further complicated in the case of polydisperse systems …..
Pontoni, JCP 03
Stiky hard sphere ex.
Form factor
•What to do when the system is concentrated, when size and distance between scattering entities are similar ?
Pb can be solved using multiple parameters but what the physicsbehind?
•Play with contrast variation (SAXS and SANS)
•Play with dilution (if possible) – ex information insertion
•Porod and invariant analysis
θθθθ
3SO H− +− +− +− + 3SO TMA− +− +− +− +
N++++3CH
3CH
3CH
3CH
Protonated counterion TMA+
Another example of concentrated system:Fuel cell membrane – Nafion, a perfluo-sulfonated polymer (ionomer)
16 %45 %
80 %
65 %
85 %
ΦΦΦΦp
Hydration
continuous structure swelling
100 %
85 %
15 %
Dry membrane
Swollenmembrane
Hyper-swollenmembrane
Scattering evolution as a function of water swellingSAXS or SANS
• q-1 regime
elongated object
q-1
cylinder diameter d = 44Å (±±±± 20%)Shell thickness e = 5Å
polymer DLD ρρρρp = 4.9 x1010 cm/cm3
PTFE Amorphous 4.21x1010 cm/cm3
PTFE Crystalline 5.08x1010 cm/cm3
2I(q) F (q)∝∝∝∝Neglect the structure factor
Form factor of aggregateslow polymer volume fraction (ΦP = 16 %)
Rod-like aggregates in hyper-swollen membrane
NAFION:
For a different φp=50%
As a function of dilution or swelling, a peak due to a structure factor candisappear due to a shift of a minima in the form factor!
Similar shape of the division curves.
No change of the scatteringaggregates
Ok for assumption of oriented objects
2I(q) S(q).F (q)∝∝∝∝Oriented rod-like
aggregates
Experimental divisionsimulation
0,01
0,1
1
10
0,01 0,1
q (-1)
Naf-16%
Naf-35%
Naf-50%
Naf-85%
Cylinder organisationLarger polymer volume fraction from 35 to 80 %
•Importance of contrast variation (SAXS / SANS) usingsame structural parameters, to eliminate the SF contribution as a first step, to discriminate betweencouples of structural parameters
•Importance of the dilution or swelling law as φ-1, φ-1/2, φ-1/3
•Check if the shape of the individual particles is similarwhatever the dilution or concentrationIf not, reorientation, new molecular assembling, second or first order transition ..
Things to keep in mind when performing SAS experiments
Analyzing the scattering curves over a large range of q to obtain the best set of structural parameters (size, aggregation number, interaction distance)
It allows to understand the thermodynamic of the system
Limiting form of I(q)
For non-interacting particles and for qR<<1, thenGuinier Law
In case of homogeneous particles with a sharpinterface, it exist an asymptotic limit, qR>>1 thatleads to the Porod law:
And finally, the invariant (for an incompressible and two-phase system)
)3
)(exp(...)(
22 G
parts
qRVqI −∆Φ= ρr
42 .)(2)( −Σ∆= qqI ρπ
222 )1(2)( ρπ ∆Φ−Φ== ∫ dqqIqQ
To perform scattering experiments
•To use always refererence sample and empty cellin similar conditions
•To known the sample thickness and otherscattering parameters
• To get data in absolute units
• to the largest (suitable) q-range as possible (whennecessary)
Common SAXS experiment
∆ΩΩ
= ...),(1
.).().()( etd
d
VTI acq
λθσλελψθ
Flux: nbr photons /s
Differential scattering cross section(cm-1/ solid angle)
Detector efficiency
Sample thickness (homo)
)exp( eT µ−=
optimum of exp(-µe) for e=1/µ or a transmission T=1/e=0.37
, µ: linear attenuation coefficiant
transmission
Acquisition timephotons in direction θ
Flux and efficiency has to be determined using calibrant (lupolen, water or other solvent..)
sacqabs etT
I
d
d
VI
...).(
),(1 exp
∆Ω=
Ω=
λψλθσ
22
0
2 )).(1(2. ρϕϕπ ∆−== ∫∞
ssabs dqqIQ
( )2
4
)(2
lim
ρπ ∆
=Σ ∞→qabsqIPorod law
Invariant
• To extract S/V:Porod law using the absolute intensity and a
contraste estimated using a contraste variation method (S/V=25m2/cm3)
From SEM (S/V=28m2/cm3)
Contrast variation (K. Lagrené data)
cohAcoh
matrix
ODHOHHHsolvent
bM
dN
v
b ==
−+=
ρ
ρϕρϕϕρ22
).1(.)(
Thank you and see the attachedreferences for more details
• 1. Guinier, A. and Fournet, G. (1955) Small-Angle Scattering of X-rays, Wiley, New York.
• 2. Glatter, O. and Kratky, O., Eds., (1982), Small-Angle X-ray Scattering, Academic Press, London.
• 3. Feigin, L.A. and Svergun, D.I. (1987) Structure Analysis by Small-Angle X-ray and Neutron Scattering, Plenum Press, New York.
• 4. Brumberger, H., Ed., (1995) Modern Aspects of Small-Angle Scattering, Kluwer Academic, Dordrecht.
• 5. Lindner, P. and Zemb, T., Eds., (2002) Neutrons, X-rays and Light : Scattering methods applied to soft condensed matter, Elsevier, Amsterdam.
• 6. Schmidt, P.W. (1995) in Modern Aspects of Small-Angle Scattering, Brumberger, H., Ed., p. 1, Kluwer Academic, Dordrecht.
• X-ray data booklet LBL, California• Neutron Data Booklet, ILL/ITU• SASfit software package, PS Institure