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Determining the Structure and Defects of Manganese Oxides using X-Ray Absorption Spectroscopy

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Title: Determining the Structure and Defects of Manganese Oxides using X-Ray Absorption Spectroscopy


1
Determining the Structure and Defects of
Manganese Oxides using X-Ray Absorption
Spectroscopy
  • Stanley Quan
  • University of California, Berkeley
  • Stanford Synchrotron Radiation Laboratory, SLAC
  • Mentors John Bargar Apurva Mehta
  • August 14, 2008

2
Biosignatures
  • Biological indicators for the presence of life
  • Stable over time
  • Biologically and abiotically formed states are
    distinguishable
  • Search for life on other planets

3
Manganese Oxides
  • Formed by various bacteria in nature- desert
    varnish
  • Well-preserved deposits up to 2.22 billion years
    old (anoxic ? oxic state atmosphere) as desert
    varnish
  • Recent studies suggest biogenic Mn oxides can be
    distinguished from abiogenic Mn oxides with EPR
    (Electron Paramagnetic Resonance)
  • Must refine detailed crystal structures

4
X-ray Absorption Spectroscopy
  • Photoelectric effect- threshold energy
  • Photoelectron emitted (edge around 6552 eV)
  • Backscattered by surrounding atoms
  • Interference pattern (outgoing and backscattered)
  • Extended X-ray Absorption Fine Structure (EXAFS)

5
Comparing to XRD
  • Mn oxides formed by bacteria are poorly
    crystallized and defective
  • X-Ray Diffraction
  • Assumes periodicity in order to observe a larger
    range
  • Complementary to XAS
  • Immediate environment around atom
  • Explores local structure, better suited for Mn
    oxides

6
Experimental Setup
7
Transmission/Fluorescence
  • Transmission
  • How much of beam goes through sample
  • Need very concentrated sample, constant sample
    thickness because looking at very small changes
  • Fluorescence
  • Emission after photoelectron drops back down to
    steady state
  • Moderately dilute samples- over-absorbance effect

8
Data Analysis
  • Normalize raw data to edge
  • Subtract background, spline

9
EXAFS ?(k) plot
  • K3-weighted to enhance oscillations at high k

10
EXAFS Fitting
  • Fit EXAFS with FEFF paths (single scattering
    model)
  • Parameters radial distance (R), disorder (?2)

11
EXAFS ?(k) stack plot
  • Rank by defects 6.8, 8.0, 9.0 k(Å-1) trends

12
Comparing EXAFS and XRD
  • Todorokite and birnessite ideal
  • Order by structure
  • Layer/Tunnel (todorokite)
  • Layered (birnessite, lithiophorite,
    chalcophanite)
  • Tunnel (coronadite, cryptomelane)
  • Small Tunnel (ramsdellite, pyrolusite)

13
  • Todorokite (Layer/Tunnel)
  • Birnessite (Layer)

14
  • Coronadite (Tunnel)
  • Ramsdellite (Small Tunnel)

15
Fourier Transform Plot
  • Trend at 4-6Å
  • Disorder caused by
  • Vacancies
  • Cations
  • Bending

16
Constrained-to-XRD fits
  • Amplitude reduction? fit produced lower
    coordination numbers than predicted
  • If constrained to XRD parameters before fitting
    (CN6), fit showed progressively more added
    disorder when going down the series, except for
    todorokite and birnessite
  • Further reinforces ranking of the manganese
    oxides according to ideal structure

17
Conclusion
  • By looking at the EXAFS, we were able to see that
    some manganese oxides are more defective than
    others
  • From XRD we learned about their structures, but
    now with EXAFS we can characterize their
    structures by lattice disorder and defects
  • Knowing about the structure may lead to insight
    about the way they are formed by bacteria and
    help us identify them if used as biosignatures

18
Acknowledgements
  • Special thanks to
  • John Bargar and Apurva Mehta
  • Ellie Schofield and Sam Webb
  • Susan Schultz, Farah Rahbar, and Steve Rock
  • SLAC, DOE
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