Presentation is loading. Please wait.

Presentation is loading. Please wait.

Phase Identification by X-ray Diffraction

Similar presentations


Presentation on theme: "Phase Identification by X-ray Diffraction"— Presentation transcript:

1 Phase Identification by X-ray Diffraction
(From Chapter 9 of Textbook 2)

2 Powder Diffraction Methods
• Qualitative Analysis – Phase Identification • Quantitative Analysis – Lattice Parameter Determination – Phase Fraction Analysis • Structure Refinement – Rietveld Methods • Structure Solution – Reciprocal Space Methods – Real Space Methods • Peak Shape Analysis – Crystallite Size Distribution – Microstrain Analysis – Extended Defect Concentration

3 1930’s Hanawalt, Rinn and Frevel (Dow Chemical): diffraction data on about 1000 compounds JCPDS, ICDD: Joint Committee on Powder Diffraction Standards; was renamed International Center for Diffraction Data. Hanawalt Method: (Grouping scheme) values of the three strongest lines (d1, d2, d3) and intensities (I/I1)

4 three strongest lines File number lowest-angle line Chemical formula and name of substance Special symbol data on diffraction method used crystallographic data optical and other data data on specimen diffraction pattern

5 Special symbols give extra information:
*: well-characterized chemistry, quantitative measure of intensity, high-quality d-spacing data (3 to 4 significant digits, no serious systematic errors) i: reasonable range and even spread of intensity, “sensible” completeness of the pattern, good d-spacing data (3 significant digits) o: low precision data, possible multi-phase mixture, possible poor chemical characterization c: powder pattern calculated from structural parameters

6 Procedure (1) Locate proper d1 group
(2) Find the closest match to d2 (±0.01 Å) (3) Follow by matching d3 (4) Compare relative intensity (5) Good agreement in search manual  locate the proper PDF card  compare the d and I/I1values of all the peaks

7 Examples: unknown pattern from measurement:
strongest lines in the powder pattern: d1 = 2.82; d2 = 1.99; d3 = 1.63

8 Portion of the ICDD Hanawalt search manual:
d1 = 2.82; d2 = 1.99; d3 = 1.63 Matched, turn to card number 5-628

9 Very weak K (220) plane higher Intensity? Absorption effect Discrepancies!! 2×2.18×sin = 1.54  = 20.68o 2×d×sin 20.68o = d = 1.97 Not listed

10 Identification of Phases in Mixtures
Examples: pattern of unknown d: I/I1: d: I/I1: No substance matching (d1:2.09; d2:2.47; d3: 1.80) all together  probably a mixture Assume: d1 and d2 not the same phase. d1 and d3 the same phase  find Cu Check the Pattern of Cu: d: I/I1:

11 Remainder of pattern of unknown:
I/I1: I/I1: Normalized Following the steps of searching again  Cu2O

12 Overlapped diffraction lines  carefully subtract the
intensity from the already identified phases to help further identification of other phases. Example

13

14  Computer searching of the PDF:
 Computerization has dramatically improved the efficiency of searching the JCPDS database  Cards are no longer printed –data are on CD-ROM  Numerous third-party vendors have software for searching the PDF database  Computerized “cards” can contain much more crystallographic information Database is still expanding …  New approach – whole pattern fitting

15 Special symbol

16 Searching of the PDF requires high-quality data
Accurate line positions are a must! Calibration of camera and diffractometer with standards Careful measurement of line intensities Elimination of artifacts (e.g. preferred orientation) Solid solutions and strains shift peak positions “Garbage in, garbage out” Errors in database

17 EVA software TOPAS software


Download ppt "Phase Identification by X-ray Diffraction"

Similar presentations


Ads by Google