The monetary value of jewelry is largely determined by
the content of precious metals in the alloy and the type
and quality of gems. Design and workmanship play a less
important role. |
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There are several methods for alloy analysis, the oldest
and most accurate one is fire assay. This method uses the
high accuracy and precision of balances to weigh a piece of
the original metal. Then, the non-precious metals in it are
removed by different procedures (oxidation and dissolution)
and the residue is weighed again. This is a destructive
analysis that damages the jewelry though. Furthermore, this
method is time consuming, generates environmental waste
and cannot distinguish between the different elements in
the residue, what could lead to misinterpretations of the
analytical results. |
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However, the X-ray fluorescence (XRF) analytical method
discussed here offers a contact-free and non-destructive
analysis with good accuracy. Since jewelry pieces are often
small and intricate, it is also very important to analyze only a
small area. This is possible due to the strong collimation of
the excitation beam provided by the instrument used here. |
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Instrumentation |
All measurements were performed using the M1 MISTRAL
spectrometer equipped with a large area proportional
counter. It features following technical parameters: |
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| Excitation |
W-tube (max. 40 kV, 40 W)
glass side window |
| Detection |
prop-counter with 1100 mm2 sensitive area
900 eV energy resolution (Mn Ka) 30,000 cps maximum count rate |
| Dimensions |
size (WxDxH): 450x550x420 mm, 46 kg |
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Analysis |
The measurements were performed on a large series of
gold alloys that was carefully analyzed with fire assay (for Au
and Ag) and with ICP (Inductively Coupled Plasma) for nonprecious
metals like Cu, Zn, Cd, Pd, etc. The concentrations
ranged from 35 wt.% Au (approx. 8 karat) to 100 wt.% Au
(24 karat). The measurement time was 100 seconds. |
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Working principle |
When excited by the radiation of an X-ray tube, the
sample emits characteristic radiation. This radiation is
detected by a proportional counter that delivers energydispersive
signals. The energy distribution of the emitted
radiation is determined by a pulse height analysis. It
contains information about the qualitative and quantitative
composition of the sample. Special quantification models
are necessary to calculate the concentration of different
elements in the sample. The complete instrument is
controlled by a special software package on a laptop that
connected to the device only via a single USB cable. |
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Quantification |
A standardless model was used to determine appropriate
concentrations. Then, a standard-based model was used
to improve accuracy. In this case, separate calibrations for
limited concentration ranges were necessary to guarantee
satisfying accuracy. Furthermore, a comprehensive set of
standards was required for every concentration range. |
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Diagram showing the calibration results for Au |
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Results |
The results of both quantification models are shown in
Figure 1. The standard-based model offers better results. |
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The reliability coefficient shows some differences: |
| Standardless analysis: |
0.99596 |
| Standard-based analysis: |
0.99986 |
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The differences between both quantification models
become clearer, when the deviations from the given value
are displayed (see Fig. 2). The average deviation for Au in
the given concentration ranges is shown in Table below. |
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| Au / wt.% |
Karatage |
Deviation / wt.% |
| 33-45 |
8 to 12 |
0.16 |
| 45-60 |
12 to 14 |
0.18 |
| 60-85 |
14 to 20 |
0.14 |
| 85-100 |
20 to 24 |
0.15 |
| 33-100 |
8 to 24 |
1.2 |
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Diagram showing the deviations from the given value |
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Conclusion |
Quantification can be performed both with standardless and
with standard-based models. Standardless models have the advantage that they can be used for a wide range of sample
qualities but offer only limited accuracy. In the case of standard-based models, the expected accuracy is better, but
they require a large set of standards that are valid only for a limited range of concentrations. |
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The statistical error is higher than the deviations in standardbased
analyses. That means that the accuracy can be improved with longer measurement times. In standardless analyses, the statistical error is smaller than deviation i.e. an improvement of accuracy is not possible with longer measurement times. |
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