Probing Ore Forming Processes Using the Scanning Proton Microprobe
C.G. Ryan1, Khin Zaw2, C.A. Heinrich3, D.N. Jamieson4 and E. van
Achterbergh1
1 GEMOC and CSIRO Exploration and Mining, PO Box 136, North Ryde
NSW 2113, Australia, 2 CODES, Geology Department, University
of Tasmania, Hobart,
TAS 7001, Australia, 3 Department Erdwissenschaften, ETH Zentrum,
Z|rich CH-8092,
Switzerland, 4 School of Physics, University of Melbourne, Parkville
VIC 3152, Australia.
The large penetration depths and predictable nature of MeV proton
trajectories has permitted the development of standardless quantitative
methods for microanalysis of minerals at ppm levels, trace-element
imaging and non-destructive analysis of individual fluid inclusions,
all of which offer
particular benefits to ore-formation research.
FLUID INCLUSION ANALYSIS
By modelling Proton Induced X-ray Emission (PIXE) yields from
the complex 3D geometry of an
inclusion in its host mineral, and by using beam-scanning to control
the proton dose distribution
across an inclusion, the CSIRO method enables quantitative analysis
of fluid inclusions of 5-20 mm in di
ameter with sensitivities for the ore elements down to 40 ppm
in the fluid (Ryan et al., 1995).
Research at the CSIRO is focused on the analysis of ore elements
in fluids and experimental studies.
Much of the work is centred on the analysis of hydrothermal fluids
associated with copper-gold deposits.
A good example is the Kidston granite-related breccia gold-copper
deposit in North Queensland, Australia. Brine and vapour inclusions
show strong partitioning of Cu into the vapour phase and the presence
of S in the vapour (Fig. 1). This, and other work, suggests that
brine-vapour segregation of trace metals, and transport in the
vapour phase, plays an im(Heinrich et al., 1993).
TRACE ELEMENT IMAGING
A new method called Dynamic Analysis (DA) developed at the CSIRO
formulates the PIXE analysis
problem as a matrix transform that can directly un-mix elemental
components to yield accurate major-
and trace-element images of spatial distribution in real-time
(Ryan et al., 1996). This technique permits the
imaging of precious metal distribution in sulfides, for example,
for basic studies of ore formation and as a tool for mineral processing.
Fig. 2 illustrates the capability with an example of trace Au
distribution in pyrite from the Emperor Mine, Fiji. The image
shows a record of pyrite growth and reveals a detailed correlation
of Au with As incorporation in pyrite. Pb (also Mo and Sb) deposition
occurs in distinct episodes, and is mutually exclusive to Cu.
Au ranges from 180-2000 ppm in these pyrites.
Besten, J. den, Jamieson, D.N., and Ryan, C.G., "Lattice location of gold in natural pyrite crystals", in prep.
Heinrich, C.A., Ryan, C.G., Mernaugh, T.P., and Eadington, P.J., 1993, Economic Geology 87, 1566-1583.
Ryan, C.G., Heinrich, C.A., Van Achterbergh, E., Ballhaus, C., and Mernagh, T.P., 1995, Nucl. Instr. Meth. B104, 182-190.
Ryan, C.G., Van Achterbergh, E., Jamieson, D.N., and Churms, C.L., 1996, Nucl. Instr. Meth. B109/110, 154-160.
Ryan, C.G., Van Achterbergh, E., Jamieson, D.N., and Churms, C.L.,
1996, Nucl. Instr. Meth. B109/110, 154-160.
Figures available from Chris Ryan.
Back to the GEMOC Abstract Titles Page
© Copyright Macquarie University | Privacy Statement | Accessibility Information
Site Publisher: DVC Development and External Relations | Last Updated: 18 August 2008
ABN 90 952 801 237 | CRICOS Provider No 00002J