This document was presented at PPXRD...This document was presented at PPXRD - Pharmaceutical Powder...
Transcript of This document was presented at PPXRD...This document was presented at PPXRD - Pharmaceutical Powder...
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This document was presented at PPXRD -Pharmaceutical Powder X-ray Diffraction Symposium
Sponsored by The International Centre for Diffraction Data
This presentation is provided by the International Centre for Diffraction Data in cooperation with the authors and presenters of the PPXRD symposia for the express purpose of educating the scientific community.
All copyrights for the presentation are retained by the original authors.
The ICDD has received permission from the authors to post this material on our website and make the material available for viewing. Usage is restricted for the purposes of education and scientific research.
ICDD Website - www.icdd.comPPXRD Website – www.icdd.com/ppxrd
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Why does Phase Identification work ?
What is the confidence in a correct identification ?
What is the confidence in a trace or minor phase analysis ?
What is the confidence in setting a specification ?
For Pharmaceutical Analyses- Using Descriptive Statistics
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Tools Developed for use with Powder Diffraction File
Relational DatabaseJAVA Interfaces48 Searches72 Display Fields
Data Mining
Statistics and Graphic Display Programs
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Phase Identification
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Experimental patternPositions and Intensities
Total Pattern Analysis
Reduced data d, I pairs
Rietveld 1967Pawley 1981Toraya 1986LeBail 1988
Hanawalt & Rinn1936
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Phase Identification
Use of d,I pairs
Where are the peaks ?
Use of full patterns
Where are the peaks ?Where aren’t the peaks ?
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Simple Pattern
No Standards butZero pt shift
Eliminated obviousPoor data
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Errors in delta two theta up to 0.08are common
Standards help significantly
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Use of NIST SRM’s in Powder Diffraction – Q (cell esd/cell) evaluation in the PDF
A = 1-10 ppmB = 10-100 ppm
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Intensity
22 Participants
Multiple Tablesindicating poorprecision in intensitymeasurements
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Conclusion
Phase Identification works because of theprecision and accuracy in measuring d-spacings
No calibration 1-10 parts per thousandWith standard calibration 1-100 parts per million
Quality with Time205,774 S Entries
97,051Since 2001
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Focus on Precision and Accuracy in d-spacings
Careful Specimen PreparationCareful Instrument Calibration
Use of certified standards
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Phase Identification –Uses a team approach
Required of the userGood specimen preparation (particle statistics, perferred orientation)Appropriate particle size for good counting statisticsStandardize and calibrate the instrument (Certified Standards)Internal standard for the most important work Use instrument settings appropriate for what your trying to measure
Done by the ICDD – Effective databaseData are standardizedReference quality is measured and evaluatedA range of tools are available for supplemental analytical observations
(searches, indexes, physical properties, structural classifications)
Done by the vendorRigorous validated methods of Search/MatchBatch processing for high speed, cluster tools for looking at large data setsAvailability of high resolution optics and highly efficient detectorsTools for assisting in calibration and instrument standardization
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PDF-4/Organics Release 2009 370,844 Data Sets
Strongest Line - Distribution
3.4 A
7.7 A4.5 A
Long Line Distribution10.9 A
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Reduced cell edges
Cell a
Cell b
Cell c
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Accuracy and PrecisionStrong Line Search(d1,d2,d3) –
PDF-4/Organics7. (1) 198,402 out of 370,844
(1.11 Million d-spacings)
7.2 (0.1) A 27,559
7.22 (0.01) A 2,839
7.222 (0.001) A 291
7.2222 (0.0001) A 33
7.22222 (0.00001) A 1
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Olanzapine Form X
11.05 (1) 88,231
11.05 (0.1) 11,186
11.05 (0.05) 5,26711.05 (0.01) 1,055
Claim 3 - What does about 11.05 mean ? (1% or 0.1 d-spacing)
Based on d1-d3search of 1.1 Milliond-spacings
Entire database has> 66 Million d-spacings
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Using multiple observations
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A look at 7.22 (0.01)
All Data 2,839 Entries
And “blue” 76 EntriesA pharmaceutical 6 EntriesContains Cl 678 EntriesContains N 1,775 Entries
Contains C between 7 and 13 % 52 Entries
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PDF-4/Organics –370,884 Entries
3.22 (0.01) 2,080
7.22 (0.01) 2,8398 Entries with both
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Combined Results 3.22(1), 7.22(1)
Unique result achieved with density……. OR elemental analysis
……. OR a third d-spacing…….. OR the long d-spacing
……… OR a chemical subfile
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Olazepine Form XIs the description unique ?
YES ! – Claim 3 No reference matches all eight d-spacings to within 1%
YES ! - Claim 1 - Olazapine with a d-spacing about 11.05
YES ! – Claims 6,7,8 – with extensive d-spacing listings
3 Critical ObservationsChemistryd-spacing
Estimated d-spacing error 1%
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Donnatal
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Modified Hanawalt MethodTop 8 of reference compared to the experimental d,I list
H
H
H
H
H
H
HH
6184 CaHPO4
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Hanawalt Method
Top 8 of reference compared to the experimental d,I list 6
HH H
HH H
H H
Sucrose 5184
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Hanawalt Method
Phenobarbitol 2154
Important Additional Information – Eight line matched, howeverthe match was not precise resulting in a lower score. The reference was a low quality data set.
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Phase IdentificationCaHPO4SucrosePhenobarbitol
90/116 Peaks matchedAll intensities above 4 identified
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Total Pattern Analysis
OEM Software – Total Pattern Approach
79/79 Peaks matched – Used a higher significance threshold for peak intensities
Matched 170 d-spacing (many overlap)out of a total of 244 possibleDisplacement 0.02 or less
All strong lines matched(>50% I relative)
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Conclusions1) d-spacing accuracy is the critical parameter in phase Identification(unit cell searches depend on indexed d-spacings)
2) Multiple d-spacings observations greatly improves the accuracy of an identification
3) Examine the quality of the experimental data and the referenceICDD provides quality measures for all PDF references
4) Quality in references is continuously improving
5) For good quality experimental data, 3 d-spacings will usually define aunique result with the current overall quality of the Powder Diffraction File
6) Two d-spacings and a third independent observation (chemistry, physicalproperty, crystal habit, subfile etc) often will lead to a unique result.
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Klug &Alexander
NIST SRM 660
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Form X – Geneva Pharmaceuticals Inc
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Claim 3 - What does about 11.05 mean ? (1% or 0.1 d-spacing)
Was an Internal Std.used to calibrate 11.05 !
Olanzepine methanolmonohydrate
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Claim 3
Is the description unique ?
0.18 355 Compounds matched 2-8 d-spacings0.09 51 Compounds matched 2-8 d-spacings0.01 14 Compounds matched 2-8 d-spacings
Applied esdTwo theta Match Results on 8 d-spacings
Olanzapine Subfile
Applied esdTwo theta Match Results on 8 d-spacings
No chemistry
0.18 5 Compounds match 2-8 d-spacings0.09 5 Compounds match 2-8 d-spacings0.01 1 Compound matches a single peak
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Patent Claims with 1-21 peaks
1) 11.05 (0.11) 11,150 Entries
2) 9.98 (0.1) 15,727 Entries
3) 6.24 (0.06) 15,630 Entries
4) 6.14 (0.06)
Observed Peaks – 1% error, no intensity informationNo Chemistry
1 & 2 & 32 Entries Match using all materials and ~ 1% errror
(goes to 20 with slightly larger error)
1 & 2 & 3 & 42 Entries Match
(53 with slightly larger error)
Extra datadidn’t help
Present in all claimsusing 1 peak and 1% accuracy
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Polymorph X is not in the database
Chemistry is essential to a unique claim