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QPA with Partial or No Known Crystal Structures(PONKCS)
Innovation with Integrity
IF
• All phases in the mixture are known
• All phases are crystalline
• All crystal structures are known
THEN
• ‘ZMV algorithm’ (1) can be used to relate the Rietveld scale factor
to the phase concentration
(1) Hill R.J. and Howard C.J. (1987) J. Appl. Crys. Vol 20, 467-474.
Classic Rietveld method
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• ZMV is a calibration constant which eliminates the need to measure:
• instrument calibration constant
• sample mass absorption
• If the crystal structure of a phase is not known, then the ZMV calibration constant is unknown
( )( )∑
=
= n
kkk VMZS
VMZSW
1
ααα
W = weight %
S = Rietveld scale factor
Z = No. of formula units in unit cell
M = molecular mass of formula unit
V = unit cell volume
Classic Rietveld methodZMV calibration constant
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• The sample is "spiked" with a known mass of standard material and the QPA normalized accordingly
• The weight fractions of the crystalline phases present in each sample are estimated using the Rietveld methodology
• Concentrations to be corrected proportionately according to:
where Corr(Wα) is the corrected weight percent, STDknown the weighted concentration of the standard in the sample and STDmeasured the analyzed concentration
• The amount of amorphous material Wamorphous can then be derived from:
• If there is more than one phase with an unknown or only partially known structure, these phases will be considered as a single group= no info on individual phases!
Classic Rietveld methodinternal standard
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measured
known
STD
STDWWCorr αα =)(
∑=
−=n
jjamorphous WCorrW
1
)(1
• An individual unknown or partially unknown crystalline phase can be
quantified through PONKCS method, if:
• the phase is available as pure specimen
(or major phase in specimen → known impurities that can be quantified with
the internal standard method)
• a synthetic mixture can be prepared in which the amounts of unknown
and an internal standard are known
• the unknown phase in the ‚experimental‘ mixture does not vary too
much from the pure specimen, used to derive the intensities
• Phases with Partial Or No Known Crystal Structure are characterized by
measured rather than calculated structure factors
• For all phases a using empirically derived structure factors ZMV "calibration
constants" must be derived, e.g. via an internal standard s
PONKCS method
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• crystalline (and even amorphous) phases can be fitted through:
• (hkl) phase (Pawley or Le Bail) if the phase can be indexed
• peak phase if the phase cannot be indexed
• Result: list of peaks described by peak position and intensity
• This list of peaks replaces ‚str‘ in the Rietveld refinement, while keepingpeak position and intensity fixed= group of peaks scaled as a single entity within Rietveld refinement
• ZMV constant is unknown and has to be provided through calibration
PONKCS method
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• Calibration through the preparation of a mixture containing knownamounts of unknown (α) and standard material (s)
• (ZMV)α has NO physical meaning
PONKCS method
( )( )sss VMZS
VMZS
W
W ααα =
or
( ) ( )ss
s
VMZS
S
W
WVMZ ⋅⋅=
α
αα
all known
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Advanced XRD Workshop
• "Nontronite”
• Unknown structure
• Cement: QA of Bassanite
• Structure data of C3S do not accurately describe the technical product
• Cement: QA of blast furnace slag (BFS)
• Amorphous material (BFS)
• Cement: QA of C3S polymorphs (M1, M3)
• Structure data of C3S do not accurately describe the technical product
PONKCS Applications in Industry
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Nontronite
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10
#1: Literature
Diffraction pattern of nontronite (Co Kαααα)
1401351301251201151101051009590858075706560555045403530252015105
100
95
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#1: Refinement of standard mixture
2Th Degrees9088868482807876747270686664626058565452504846444240383634323028262422201816141210864
Sqr
t(C
ount
s)
115
110
105
100
95
90
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Corundum 49.78 %Nontronite_hkl 50.22 %
12
#1: Results
The resultant phase model has been applied to a series of mixtures of known composition
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
0 10 20 30 40 50 60 70 80 90 100
Weighed (wt%)
Bia
s (w
t%)
Nontronite Corundum
Cement
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• Nishi & Takeuchi (1985) C3S structure - misfits due to structuraldeficiencies
• Only a "cosmetic" issue for Clinker quantification
PONKCSExample: Quantitative Analysis of Cement
2Th Degrees656055504540353025201510
Cou
nts
8,000
7,500
7,000
6,500
6,000
5,500
5,000
4,500
4,000
3,500
3,000
2,500
2,000
1,500
1,000
500
0
-500
-1,000
-1,500
-2,000
-2,500
-3,000
C3S monoclinic (NISHI) 70.69 %C2S beta (MUMME) 8.02 %C3A Na orthorhombic 5.02 %C3A cubic 2.76 %C4AF Colville 10.20 %Periclase 0.63 %Lime 1.24 %Arcanite K2SO4 1.44 %
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• Nishi & Takeuchi (1985) C3S structural deficiencies (intensity misfit) adversly affectsBassanite (CaSO4 · ½H2O) quantification due to unevitable peak overlap
• Degree of overlap depends on Alite chemical composition
PONKCSExample: Quantitative Analysis of Cement
2Th Degrees40383634323028262422201816141210
Cou
nts
3,000
2,500
2,000
1,500
1,000
500
0
-500
-1,000
-1,500
-2,000
-2,500
-3,000
-3,500
C2S beta (MUMME) 0.00 %C3A cubic 0.00 %C3A Na orthorhombic 0.00 %C4AF Colville 0.00 %Lime 0.00 %Periclase 0.00 %Quartz 0.00 %Arcanite K2SO4 0.00 %Gypsum 0.00 %Bassanite Bezou 0.00 %Anhydrite 0.00 %Calcite 0.00 %Portlandite 0.00 %C3S monoclinic (NISHI) 0.00 %
Bassanite
Alite (402) & (310)
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• Classic Rietveld Refinementusing the Nishi & Takeuchi (1985) C3S structure
• PONKCS refinement2Th Degrees
2019181716151413121110
Cou
nts
1,000
900
800
700
600
500
400
300
200
100
0
PONKCSStructureless Modelling of Alite
Substitution of calculated intensities
phase_name C3S_hkl_Phasescale @ 0.1MVW( 0, 4331.778506, 0)space_group 8CS_L(cs_c3smonni, 1000 min =50; max =1000;)a a_c3smonni 33.18748b b_c3smonni 7.05051c c_c3smonni 18.56319be be_c3smonni 94.22338r_bragg 0.006728277788
hkl_Ishkl_m_d_th2 0 0 2 2 9.25639439 9.54711437 I 2.05270142e-010hkl_m_d_th2 2 0 -2 2 8.34458351 10.5931587 I 0.01858485616hkl_m_d_th2 4 0 0 2 8.27434444 10.683341 I 0.01406196859hkl_m_d_th2 2 0 2 2 7.8363862 11.2822943 I 0.01484194695hkl_m_d_th2 4 0 -1 2 7.77032948 11.3785229 I 0.0251988569hkl_m_d_th2 4 0 1 2 7.35505056 12.0232773 I 0.03432590883hkl_m_d_th2 1 1 0 4 6.89578199 12.8272991 I 0.01149107085hkl_m_d_th2 1 -1 -1 4 6.49472332 13.6230459 I 0.04729996279hkl_m_d_th2 1 1 1 4 6.42985344 13.7611485 I 0.01753635023hkl_m_d_th2 4 0 -2 2 6.40786076 13.8086081 I 0.03122114305hkl_m_d_th2 0 0 3 2 6.17092943 14.3415194 I 0.003343324237hkl_m_d_th2 4 0 2 2 5.9548769 14.8647385 I @ 0.27078hkl_m_d_th2 3 1 0 4 5.94094992 14.8997831 I @ 1.2198hkl_m_d_th2 2 0 -3 2 5.92666531 14.9358988 I 0.007612890057hkl_m_d_th2 3 -1 -1 4 5.72322845 15.4700003 I 0.003767987738hkl_m_d_th2 2 0 3 2 5.64745855 15.6788511 I 0.01085298472…..
2Th Degrees2019181716151413121110
Cou
nts
1,000
900
800
700
600
500
400
300
200
100
0
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PONKCSQuantitative Analysis of Bassanite
• Classic Rietveld Refinementusing the Nishi & Takeuchi (1985) C3S structure
• PONKCS refinement
• Bassanite:Estimated accuracy ~0.2%Estimated precision <0.1%
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Slag in Cement
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PONKCSQuantitative Analysis of BFSlag
BFSlag can be describedvia Pawley / Le Bail orsingle peak fitting
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PONKCSQuantitative Analysis of BFSlag
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E.g. Pawley fit strategy:• Chose arbitrary space group
and lattice parameters to allow for a couple of peaks
• Allow for extreme line broadening
Refined PONKCSmodel for BFSlag
Round Robin VDZ 2006/7Quantitative Analysis of BFSlag
• Preliminary results PONKCS:
(5 repeated analyses)
25.1 (2)
67.2 (2)
71.7 (2)
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Accuracy and Precision (values in wt. %, SD in brackets/1σ)
• Every sample measured 5 times (D4 ENDEAVOR, LynxEye Detector)
• Reference values:
• sample 1: 25,0 wt.%
• sample 2: 67,0 wt.%
• sample 3: 72,0 wt.%
Round Robin VDZ 2006/7Quantitative Analysis of BFSlag
BFSlagSample 1
BFSlagSample 2
BFSlagSample 3
Measurement 1 25,0 67,2 71,7
Measurement 2 25,1 67,3 71,9
Measurement 3 24,7 67,0 71,6
Measurement 4 25,1 67,3 71,9
Measurement 5 25,3 67,0 71,5
Mean 25,1 67,2 71,7
SD 0,2 0,2 0,2
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C3S Polymorphs
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The missing link for quality and process control
• In Cement Clinkers two monoclinic polymorphs of the main Phase Alite(C3S) can be found (M1 and M3)
• Both polymorphs are different in hydraulic properties, like strength development
• Although this is well know since decades, nobody was able to distinguish and quantify these polymorphs in the last years by XRD Rietveld analysis
PONCKSAlite Polymorphism
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The monoclinic polymorphs M1 and M3
• Very similar patterns
• Available structural data do not accurately describe the technical product
M1 and M3 can be distinguished using currently available structure data!
PONCKSAlite Polymorphism
Alite polymorph M3
Lin
(Cou
nts)
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
50 51 52 53 54
Alite polymorph M1
Lin
(Cou
nts)
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
50 51 52 53 54
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Alite Polymorphs Monitoring Compressive Strength
• Observation over months: continuous decrease of the early strength development, although all process control parameters remained unchanged
• The re-evaluation of the XRD data using TOPAS considering the Alitepolymorphs showed a correlated decrease of the M1 polymorph
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• PCA: 630 PXRD + M1/M3 alite
Alite PolymorphsPOLYSNAP + TOPAS QA Results
HS clinkerM1 high
HS clinkerM1 low
normal clinkerM1 high
normal clinkerM1 low
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The missing link for quality and process control
• By using the TOPAS PONKCS capabilities we are able to distinguish the Alitepolymorphs M1 and M3
• Provides more detailed information about the process
• Allows to understand and predict the early strength development
• Allows to control and improve the quality of the product
PONCKSAlite Polymorphism
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PONKCSReference
Scarlett, N.V.Y. & Madsen, I.C. (2006)
Quantification of phases with partial or no known crystal structure
Powder Diffraction, 21(4), 278-284
Note:
The paper includes an example walk-throughon a TOPAS keyword level
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• PONKCS allows the quantification of compounds, where the classic Rietveld
method fails
• Materials with partial or no known crystal structure can be quantified with
the same accuracy and precision as phases with crystal structure. Often
even better, due to the calibration step
• Crystalline and amorphous phase amounts, accuracy and LLOD < 1%
• Preferred orientation can be dealt with (if sample is indexed)
Conclusions
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Innovation with Integrity
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